docs: 补强 ECR-004 CODE_REVIEW 复审记录

Co-authored-by: Cursor <cursoragent@cursor.com>

AGENTS.md

@@ -0,0 +1,33 @@
+# chan — Agent Entry
+
+本仓受 ESS 约束。不要一上来扫全库或加载全部 governance。
+
+## Boot
+
+1. `docs/PROJECT_PROFILE.md`
+2. `docs/PROJECT_RULES.md`
+3. `docs/STATE/CURRENT.md` + `docs/AGENT_MEMORY.md`
+4. 有进行中任务再读 `docs/TASKS/` / 对应 ECR / HANDOFF
+5. 角色文件：ESS 根目录 `agents/{ARCHITECT|ENGINEER|REVIEWER|RELEASE_MANAGER}.md`
+
+## Roles（选一）
+
+| 意图 | 角色 |
+|------|------|
+| 规格 / 架构 / ECR | ARCHITECT |
+| 实现 / 修 bug | ENGINEER |
+| 审阅 | REVIEWER |
+| 发版 / tag | RELEASE_MANAGER |
+
+## Never
+
+- 无 ECR 改 `config/` / `strategies/` 交易逻辑
+- 无 ADR 改缠论算法语义
+- 无 ECR 删减 `/api/analyze` 字段
+- 把聊天记录当成完成；阶段结束须落盘 `docs/`
+
+## Pointers
+
+- TRACEABILITY: `docs/TRACEABILITY.md`
+- CHANGELOG: `docs/CHANGELOG/CHANGELOG.md`
+- 人类向导：`CLAUDE.md`

CLAUDE.md

@@ -8,9 +8,11 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
 
 ## Governance
 
-- ESS 文档：`docs/PROJECT_PROFILE.md`、`docs/ECR/`、`docs/ENGINEERING_SPEC/`
+- Agent 入口：`AGENTS.md`（boot 顺序）· `docs/PROJECT_PROFILE.md` · `docs/AGENT_MEMORY.md` · `docs/STATE/CURRENT.md`
+- ESS 文档：`docs/ECR/`、`docs/ENGINEERING_SPEC/`、`docs/TRACEABILITY.md`、`docs/CHANGELOG/`
 - **正式引擎包**：`chanlun/`；strategies / web 已用 `from chanlun import ...`
 - 根目录 `Chan*.py` / `TF_DF.py` 仍为 **兼容 shim**（旧脚本可用）
+- 变更分级：无 ECR 不改 strategies/config；无 ADR 不改缠论算法语义
 
 ## Core Architecture
 

chanlun/analysis/wyckoff/__init__.py

@@ -0,0 +1,6 @@
+"""威科夫分析（启发式）：交易区间 / 阶段 / 事件 / Volume Profile。"""
+from __future__ import annotations
+
+from .engine import analyze_wyckoff
+
+__all__ = ["analyze_wyckoff"]

chanlun/analysis/wyckoff/engine.py

@@ -0,0 +1,80 @@
+"""威科夫分析入口。"""
+from __future__ import annotations
+
+from typing import Any, Dict, Optional
+
+import pandas as pd
+
+from .events import build_phases, detect_bias_and_events
+from .range import detect_trading_range
+from .volume_profile import compute_volume_profile
+
+
+def _fmt_time(v) -> Optional[str]:
+	if v is None:
+		return None
+	if hasattr(v, "isoformat"):
+		try:
+			return v.isoformat()
+		except Exception:
+			pass
+	return str(v)
+
+
+def analyze_wyckoff(df: pd.DataFrame, lookback: int = 120, vp_bins: int = 50) -> Dict[str, Any]:
+	"""
+	对主周期 OHLCV DataFrame 做威科夫启发式分析。
+	需要列: open, high, low, close, volume；建议有 date 或 timestamp。
+	"""
+	empty = {
+		"trading_range": None,
+		"bias": "unknown",
+		"phases": [],
+		"events": [],
+		"volume_profile": {"bins": [], "poc": None, "vah": None, "val": None, "bin_count": vp_bins},
+		"volume_confirm": {"avg_volume": 0.0, "event_checks": {}},
+	}
+	if df is None or len(df) < 30:
+		return empty
+	if not all(c in df.columns for c in ("open", "high", "low", "close")):
+		return empty
+	work = df.copy()
+	if "volume" not in work.columns:
+		work["volume"] = 1.0
+
+	tr = detect_trading_range(work, lookback=lookback)
+	if tr is None:
+		return empty
+
+	bias, events, volume_confirm = detect_bias_and_events(work, tr)
+	phases = build_phases(work, tr, bias, events)
+	vp = compute_volume_profile(
+		work,
+		int(tr["abs_start_idx"]),
+		int(tr["abs_end_idx"]),
+		bin_count=vp_bins,
+	)
+
+	trading_range = {
+		"start_time": _fmt_time(tr.get("start_time")),
+		"end_time": _fmt_time(tr.get("end_time")),
+		"high": float(tr["high"]),
+		"low": float(tr["low"]),
+		"mid": float(tr["mid"]),
+		"active": bool(tr.get("active", True)),
+		"bars": int(tr.get("bars", 0)),
+	}
+	for ev in events:
+		ev["time"] = _fmt_time(ev.get("time"))
+	for ph in phases:
+		ph["start_time"] = _fmt_time(ph.get("start_time"))
+		ph["end_time"] = _fmt_time(ph.get("end_time"))
+
+	return {
+		"trading_range": trading_range,
+		"bias": bias,
+		"phases": phases,
+		"events": events,
+		"volume_profile": vp,
+		"volume_confirm": volume_confirm,
+	}

chanlun/analysis/wyckoff/events.py

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+"""威科夫阶段与事件（启发式）。"""
+from __future__ import annotations
+
+from typing import Any, Dict, List, Tuple
+
+import numpy as np
+import pandas as pd
+
+
+def _bar_time(df: pd.DataFrame, i: int):
+	row = df.iloc[i]
+	if "date" in df.columns and pd.notna(row["date"]):
+		return row["date"]
+	if "timestamp" in df.columns:
+		return row["timestamp"]
+	return i
+
+
+def _avg_vol(df: pd.DataFrame, i: int, win: int = 20) -> float:
+	a = max(0, i - win + 1)
+	v = df["volume"].astype(float).iloc[a : i + 1]
+	m = float(v.mean()) if len(v) else 0.0
+	return m if m > 0 else 1.0
+
+
+def detect_bias_and_events(
+	df: pd.DataFrame,
+	tr: Dict[str, Any],
+) -> Tuple[str, List[Dict[str, Any]], Dict[str, Any]]:
+	"""
+	返回 bias、events、volume_confirm。
+	"""
+	hi = float(tr["high"])
+	lo = float(tr["low"])
+	mid = float(tr["mid"])
+	tol = float(tr.get("tol") or (hi - lo) * 0.05)
+	s = int(tr["abs_start_idx"])
+	e = int(tr["abs_end_idx"])
+	events: List[Dict[str, Any]] = []
+
+	# 扫描区间内及之后（含 tail_reserve）
+	scan_end = int(tr.get("abs_scan_end_idx", min(len(df) - 1, e + 15)))
+	scan_end = min(len(df) - 1, max(scan_end, e))
+	spring = None
+	utad = None
+	sos = None
+	sod = None  # sign of weakness / distribution breakdown
+	lps = None
+	lpsy = None
+
+	for i in range(s + 2, scan_end + 1):
+		row = df.iloc[i]
+		low = float(row["low"])
+		high = float(row["high"])
+		close = float(row["close"])
+		vol = float(row["volume"]) if "volume" in df.columns else 0.0
+		avg_v = _avg_vol(df, i)
+		ratio = vol / avg_v if avg_v else 0.0
+
+		# Spring: pierce below low then close back above low
+		if spring is None and low < lo - tol * 0.5 and close >= lo - tol * 0.2:
+			vol_ok = ratio <= 1.35 or (i + 1 <= scan_end and float(df.iloc[min(i + 1, scan_end)]["volume"]) / avg_v < 1.2)
+			spring = {
+				"type": "Spring",
+				"time": _bar_time(df, i),
+				"price": low,
+				"note": "假破下沿后收回",
+				"volume_ratio": round(ratio, 3),
+				"volume_ok": bool(vol_ok),
+				"idx": i,
+			}
+
+		# UTAD: pierce above high then close back below
+		if utad is None and high > hi + tol * 0.5 and close <= hi + tol * 0.2:
+			vol_ok = ratio >= 0.8
+			utad = {
+				"type": "UTAD",
+				"time": _bar_time(df, i),
+				"price": high,
+				"note": "假破上沿后跌回",
+				"volume_ratio": round(ratio, 3),
+				"volume_ok": bool(vol_ok),
+				"idx": i,
+			}
+
+		# SOS: close above high with volume
+		if sos is None and close > hi + tol * 0.15:
+			vol_ok = ratio >= 1.15
+			sos = {
+				"type": "SOS",
+				"time": _bar_time(df, i),
+				"price": close,
+				"note": "放量上破交易区间",
+				"volume_ratio": round(ratio, 3),
+				"volume_ok": bool(vol_ok),
+				"idx": i,
+			}
+
+		# SOW / breakdown
+		if sod is None and close < lo - tol * 0.15:
+			vol_ok = ratio >= 1.15
+			sod = {
+				"type": "SOW",
+				"time": _bar_time(df, i),
+				"price": close,
+				"note": "放量下破交易区间",
+				"volume_ratio": round(ratio, 3),
+				"volume_ok": bool(vol_ok),
+				"idx": i,
+			}
+
+	# LPS after SOS: pullback that holds above mid/high-band with lighter volume
+	if sos is not None:
+		si = int(sos["idx"])
+		for i in range(si + 1, min(len(df), si + 25)):
+			row = df.iloc[i]
+			low = float(row["low"])
+			close = float(row["close"])
+			vol = float(row["volume"]) if "volume" in df.columns else 0.0
+			avg_v = _avg_vol(df, i)
+			ratio = vol / avg_v if avg_v else 0.0
+			if low >= mid - tol and close >= hi - tol * 2:
+				vol_ok = ratio <= 1.05
+				lps = {
+					"type": "LPS",
+					"time": _bar_time(df, i),
+					"price": low,
+					"note": "突破后缩量回踩不破",
+					"volume_ratio": round(ratio, 3),
+					"volume_ok": bool(vol_ok),
+					"idx": i,
+				}
+				break
+
+	if sod is not None:
+		si = int(sod["idx"])
+		for i in range(si + 1, min(len(df), si + 25)):
+			row = df.iloc[i]
+			high = float(row["high"])
+			close = float(row["close"])
+			vol = float(row["volume"]) if "volume" in df.columns else 0.0
+			avg_v = _avg_vol(df, i)
+			ratio = vol / avg_v if avg_v else 0.0
+			if high <= mid + tol and close <= lo + tol * 2:
+				vol_ok = ratio <= 1.05
+				lpsy = {
+					"type": "LPSY",
+					"time": _bar_time(df, i),
+					"price": high,
+					"note": "下跌突破后缩量反抽不过",
+					"volume_ratio": round(ratio, 3),
+					"volume_ok": bool(vol_ok),
+					"idx": i,
+				}
+				break
+
+	for ev in (spring, sos, lps, utad, sod, lpsy):
+		if ev:
+			events.append({k: v for k, v in ev.items() if k != "idx"})
+
+	# bias
+	last_c = float(df["close"].iloc[-1])
+	bias = "unknown"
+	if sos and (not sod or int(sos.get("idx", 0)) >= int(sod.get("idx", 0))):
+		bias = "accumulation"
+	elif sod and (not sos or int(sod.get("idx", 0)) > int(sos.get("idx", 0))):
+		bias = "distribution"
+	elif spring and not utad:
+		bias = "accumulation"
+	elif utad and not spring:
+		bias = "distribution"
+	elif last_c >= mid:
+		bias = "accumulation"
+	else:
+		bias = "distribution"
+
+	avg_volume = float(df["volume"].astype(float).iloc[max(0, e - 20) : e + 1].mean()) if "volume" in df.columns else 0.0
+	volume_confirm = {
+		"avg_volume": avg_volume,
+		"event_checks": {ev["type"]: {"volume_ok": ev.get("volume_ok"), "volume_ratio": ev.get("volume_ratio")} for ev in events},
+	}
+	return bias, events, volume_confirm
+
+
+def build_phases(
+	df: pd.DataFrame,
+	tr: Dict[str, Any],
+	bias: str,
+	events: List[Dict[str, Any]],
+	min_bars: int = 3,
+) -> List[Dict[str, Any]]:
+	"""按时间切分 A–E 粗阶段；保证非重叠且每段至少 min_bars 根（空间不足则截断尾部阶段）。"""
+	s = int(tr["abs_start_idx"])
+	e = int(tr["abs_end_idx"])
+	n_last = len(df) - 1
+	min_span = max(2, min_bars - 1)
+
+	event_idx = {}
+	for ev in events:
+		t = ev.get("time")
+		for i in range(s, min(len(df), e + 20)):
+			if _bar_time(df, i) == t:
+				event_idx[ev["type"]] = i
+				break
+
+	a_end = s + max(min_bars, (e - s) // 5)
+	c_anchor = event_idx.get("Spring") or event_idx.get("UTAD") or (s + (e - s) // 2)
+	d_anchor = event_idx.get("SOS") or event_idx.get("SOW") or e
+
+	def _lab(phase: str) -> str:
+		if bias == "distribution":
+			m = {"A": "A停止上涨", "B": "B筑顶", "C": "C测试", "D": "D派发", "E": "E下跌"}
+		else:
+			m = {"A": "A停止下跌", "B": "B筑底", "C": "C测试", "D": "D拉升", "E": "E离开"}
+		return m.get(phase, phase)
+
+	# 理想切点（随后再强制非重叠 + 最小跨度）
+	raw = [
+		("A", s, a_end),
+		("B", a_end, c_anchor),
+		("C", c_anchor, d_anchor),
+		("D", d_anchor, min(n_last, d_anchor + max(min_bars, (e - s) // 6))),
+		("E", min(n_last, d_anchor + max(min_bars, (e - s) // 6)), min(n_last, max(e, d_anchor + max(min_bars * 2, 8)))),
+	]
+	phases: List[Dict[str, Any]] = []
+	cursor = s
+	for phase, _a, _b in raw:
+		if cursor >= n_last:
+			break
+		a = max(int(_a), cursor)
+		b = int(max(_b, a + min_span))
+		b = int(np.clip(b, a, n_last))
+		if b - a < min_span:
+			# 尾部空间不足：并入上一段终点并停止新增
+			if phases:
+				phases[-1]["end_time"] = _bar_time(df, n_last)
+			break
+		phases.append(
+			{
+				"phase": phase,
+				"label": _lab(phase),
+				"start_time": _bar_time(df, a),
+				"end_time": _bar_time(df, b),
+			}
+		)
+		cursor = b
+	return phases

chanlun/analysis/wyckoff/range.py

@@ -0,0 +1,128 @@
+"""交易区间检测：ATR 容差下按评分选取近期震荡箱。"""
+from __future__ import annotations
+
+from typing import Any, Dict, Optional
+
+import numpy as np
+import pandas as pd
+
+
+def _atr(df: pd.DataFrame, period: int = 14) -> pd.Series:
+	high = df["high"].astype(float)
+	low = df["low"].astype(float)
+	close = df["close"].astype(float)
+	prev_close = close.shift(1)
+	tr = pd.concat(
+		[
+			(high - low).abs(),
+			(high - prev_close).abs(),
+			(low - prev_close).abs(),
+		],
+		axis=1,
+	).max(axis=1)
+	return tr.rolling(period, min_periods=max(3, period // 2)).mean()
+
+
+def _score_segment(
+	length: int,
+	near_hi: int,
+	near_lo: int,
+	inside: float,
+	width: float,
+	atr: float,
+) -> float:
+	"""触边密度 + 箱内比例 − 相对宽度；弱奖励长度以免只追最长。"""
+	touch_density = (near_hi + near_lo) / float(max(length, 1))
+	width_pen = (width / atr) if atr > 0 else width
+	return touch_density * 50.0 + float(inside) * 30.0 - width_pen * 3.0 + min(length / 40.0, 2.0)
+
+
+def detect_trading_range(
+	df: pd.DataFrame,
+	lookback: int = 120,
+	min_bars: int = 24,
+	atr_mult: float = 1.2,
+	tail_reserve: int = 12,
+) -> Optional[Dict[str, Any]]:
+	"""
+	在最近 lookback 根内寻找高低点波动受控的连续段作为交易区间。
+	尾部预留 tail_reserve 根用于事件（Spring/SOS），不参与箱体边界计算。
+	在硬门槛之上按评分取最优段（非仅最长窗口）。
+	"""
+	if df is None or len(df) < min_bars + 5:
+		return None
+	work = df.tail(lookback).reset_index(drop=True)
+	n = len(work)
+	reserve = min(tail_reserve, max(0, n - min_bars - 2))
+	core_end = n - reserve if reserve > 0 else n
+	core = work.iloc[:core_end]
+	if len(core) < min_bars:
+		core = work
+		core_end = n
+		reserve = 0
+
+	atr = _atr(work)
+	last_atr = float(atr.iloc[core_end - 1]) if atr.notna().iloc[:core_end].any() else float(
+		(core["high"] - core["low"]).mean()
+	)
+	if not np.isfinite(last_atr) or last_atr <= 0:
+		last_atr = float(core["close"].iloc[-1]) * 0.01
+
+	best = None
+	best_score = float("-inf")
+	cn = len(core)
+	for length in range(min(cn, lookback), min_bars - 1, -4):
+		seg = core.iloc[-length:]
+		hi = float(seg["high"].max())
+		lo = float(seg["low"].min())
+		width = hi - lo
+		if width <= 0 or width > last_atr * atr_mult * 3.5:
+			continue
+		tol = last_atr * atr_mult * 0.35
+		near_hi = int((seg["high"] >= hi - tol).sum())
+		near_lo = int((seg["low"] <= lo + tol).sum())
+		if near_hi < 2 or near_lo < 2:
+			continue
+		inside = float(((seg["close"] >= lo - tol) & (seg["close"] <= hi + tol)).mean())
+		if inside < 0.75:
+			continue
+		score = _score_segment(length, near_hi, near_lo, inside, width, last_atr)
+		if score <= best_score:
+			continue
+		start_i = cn - length
+		end_i = cn - 1
+		mid = (hi + lo) / 2.0
+		last_c = float(work["close"].iloc[-1])
+		active = (lo - tol * 1.5) <= last_c <= (hi + tol * 1.5)
+		best_score = score
+		best = {
+			"start_idx": int(start_i),
+			"end_idx": int(end_i),
+			"high": hi,
+			"low": lo,
+			"mid": mid,
+			"active": bool(active),
+			"atr": last_atr,
+			"tol": tol,
+			"bars": int(length),
+			"score": float(score),
+		}
+
+	if best is None:
+		return None
+
+	def _ts(row) -> Any:
+		if "date" in work.columns and pd.notna(row["date"]):
+			return row["date"]
+		if "timestamp" in work.columns:
+			return row["timestamp"]
+		return None
+
+	best["start_time"] = _ts(work.iloc[best["start_idx"]])
+	# 区间时间结束取 core 末，事件可落在其后
+	best["end_time"] = _ts(work.iloc[best["end_idx"]])
+	offset = len(df) - len(work)
+	best["abs_start_idx"] = offset + best["start_idx"]
+	best["abs_end_idx"] = offset + best["end_idx"]
+	best["abs_scan_end_idx"] = offset + n - 1
+	return best

chanlun/analysis/wyckoff/volume_profile.py

@@ -0,0 +1,72 @@
+"""区间内 Volume Profile。"""
+from __future__ import annotations
+
+from typing import Any, Dict, List
+
+import numpy as np
+import pandas as pd
+
+
+def compute_volume_profile(
+	df: pd.DataFrame,
+	start_idx: int,
+	end_idx: int,
+	bin_count: int = 50,
+	value_area_pct: float = 0.70,
+) -> Dict[str, Any]:
+	seg = df.iloc[start_idx : end_idx + 1]
+	if seg.empty:
+		return {"bins": [], "poc": None, "vah": None, "val": None, "bin_count": bin_count}
+
+	typical = (seg["high"].astype(float) + seg["low"].astype(float) + seg["close"].astype(float)) / 3.0
+	vol = seg["volume"].astype(float).fillna(0.0)
+	lo = float(seg["low"].min())
+	hi = float(seg["high"].max())
+	if not np.isfinite(lo) or not np.isfinite(hi) or hi <= lo:
+		mid = float(seg["close"].iloc[-1])
+		return {
+			"bins": [{"price": mid, "volume": float(vol.sum())}],
+			"poc": mid,
+			"vah": mid,
+			"val": mid,
+			"bin_count": 1,
+		}
+
+	edges = np.linspace(lo, hi, bin_count + 1)
+	# 右开最后一桶闭合
+	idx = np.clip(np.digitize(typical.values, edges) - 1, 0, bin_count - 1)
+	vols = np.zeros(bin_count, dtype=float)
+	for i, v in zip(idx, vol.values):
+		vols[i] += float(v)
+
+	centers = (edges[:-1] + edges[1:]) / 2.0
+	poc_i = int(np.argmax(vols)) if vols.sum() > 0 else bin_count // 2
+	poc = float(centers[poc_i])
+
+	# Value Area：从 POC 向两侧扩展直到累计 >= value_area_pct
+	total = float(vols.sum()) or 1.0
+	target = total * value_area_pct
+	left = right = poc_i
+	acc = float(vols[poc_i])
+	while acc < target and (left > 0 or right < bin_count - 1):
+		left_v = vols[left - 1] if left > 0 else -1.0
+		right_v = vols[right + 1] if right < bin_count - 1 else -1.0
+		if right_v >= left_v and right < bin_count - 1:
+			right += 1
+			acc += float(vols[right])
+		elif left > 0:
+			left -= 1
+			acc += float(vols[left])
+		else:
+			break
+
+	bins: List[Dict[str, float]] = [
+		{"price": float(centers[i]), "volume": float(vols[i])} for i in range(bin_count)
+	]
+	return {
+		"bins": bins,
+		"poc": poc,
+		"vah": float(centers[right]),
+		"val": float(centers[left]),
+		"bin_count": bin_count,
+	}

chanlun/pipeline/builders/kline.py

@@ -174,8 +174,10 @@ class KlineBuilderMixin:
 	def get_klc_list(self, klu_list):
 		klc_list = []
 		last_klu = None
+		# ChanMACD.__init__ 已调用 cal_macd_state，切勿再调一次（会重复堆积 seg/unittf）
 		macd = ChanMACD(klu_list)
-		klu_list = macd.cal_macd_state()
+		klu_list = macd.klu_list
+		self._last_chan_macd = macd
 		ema_up_list = []
 		ema_down_list = []
 		ema_up_count = 0

chanlun/pipeline/timeframe.py

@@ -68,8 +68,11 @@ class TF_DF(IndicatorsBuilderMixin, KlineBuilderMixin, BiBuilderMixin, SegBuilde
 		self.seg_list = self.get_seg_list(self.bi_list)
 		self.zs_list = self.get_zs_list(self.bi_list, self.seg_list)
 		self.big_zs_list = self.get_big_zs_list(self.zs_list)
+		# get_klc_list 内已算过 ChanMACD，直接复用
+		self.chanmacd = getattr(self, '_last_chan_macd', None)
+		if self.chanmacd is None:
 			self.chanmacd = ChanMACD(self.klu_list)
-		self.klu_list = self.chanmacd.cal_macd_state()
+		self.klu_list = self.chanmacd.klu_list
 	
 						
 	def get_current_klc(self):

docs/AGENT_MEMORY.md

@@ -0,0 +1,39 @@
+# AGENT_MEMORY — chan
+
+> Agent 短记忆。先读 `PROJECT_PROFILE.md`，再读本文件。不要把猜测写进这里。
+
+## 双前端
+
+| 入口 | 引擎 | 实时 |
+|------|------|------|
+| `/` | Lightweight Charts | HTTP 定时自动刷新（增量 + 每 6 次全量） |
+| `/chan_tv` | Charting Library 全版 | datafeed `subscribeBars` → WS |
+
+勿把主站 `live_feed` 方案与 chan_tv datafeed 混为一谈；主站 WS 实时已回退。
+
+## 版本
+
+- `system_version`：`v1.0.0`（ECR-001）
+- `strategy_version`：与 system 解耦；默认不改 `config/` / `strategies/`
+
+## 近期变更
+
+- IDEA-002 / `9f1e736`：主站内存泄漏 dispose、首屏单次 analyze、ChanMACD 复用、chan_tv 体验
+- ECR-002 Reviewed：拆 `web/services/runtime/`、加深 analyze 契约
+- ECR-003 Reviewed：主站威科夫叠层（`chanlun/analysis/wyckoff/` + `include_wyckoff`）→ `081a57a`
+- ECR-004 Reviewed：TR 评分硬化 + VP 少系列 + 阶段/门闩/单测（无币种参数）
+
+## 硬约束提醒
+
+- `/api/analyze` 字段可增不可删
+- 无 ADR 不改笔/段/中枢/买卖点语义
+- 威科夫为独立叠层（ECR-003）；勿借机改缠论算法
+- 交易 L2+ → RISK_REVIEW + EXP；Live 须 Human
+
+## 已知债务
+
+- `chart_tv.js` 单体巨大 → 后续可选 ECR
+- analyze 契约已加深（mock HTTP + wyckoff opt-in）；可再加固定 JSON 快照文件
+- 内存泄漏尚无自动化 heap/监听断言
+- `macd_config` POST 写本地 global 的历史 quirks（未改）
+- 威科夫启发式参数未做 UI 调参

docs/CHANGELOG/CHANGELOG.md

@@ -1,5 +1,47 @@
 # CHANGELOG
 
+## Unreleased — 2026-08-06
+
+### ECR-004（L2，Reviewed）
+
+- 威科夫 TR 评分选段（防吞前置趋势）；阶段非重叠最小跨度
+- 主站 VP Top-8 + bins≤24；填充线减负
+- `elements_only` 时不跑威科夫；收紧单测（无币种独立参数）
+
+### ECR-003（L2，Reviewed）
+
+- 新增 `chanlun/analysis/wyckoff/`：交易区间、阶段 A–E、Spring/SOS/LPS/UTAD 等事件、区间 VP（POC/VAH/VAL）、量能确认
+- `/api/analyze` 按需 `include_wyckoff=1` 返回顶层 `wyckoff`
+- 主站「威科夫」开关与 Lightweight 叠层（区间/阶段/事件/VP）
+- 单测与 analyze 契约 opt-in 断言
+
+### ECR-002（L3，Reviewed）
+
+- 拆分 `web/services/runtime.py` 为包 `web/services/runtime/`（state / timeframes / market_data / indicators / analyze / serialize）
+- 加深 analyze 契约测试（mock HTTP + analyze_chan 键集 + serialize JSON）
+- 新增 TF_DF 全量 init 冒烟与 runtime 门面测试
+
+### IDEA-002（L1 补档）
+
+对应 commit `9f1e736`。无新 system tag（仍为 `v1.0.0`）。
+
+#### Fixed
+
+- 主站自动刷新内存泄漏：`disposeTradingViewCharts`、去掉重复 sync 监听、默认增量刷新（每 6 次全量重建笔/段/中枢）
+- 加密货币首屏重复调用 `/api/analyze`
+- ChanMACD 同周期重复全量分析（复用 `get_klc_list` 结果）
+
+#### Changed
+
+- `/chan_tv`：WS/REST 可分离配置、指标布局 localStorage、未完成中枢与 datafeed 实时 tick 行为完善
+- `PROJECT_PROFILE` Realtime 条目与 chan_tv WS 对齐（文档）
+
+#### Docs
+
+- ESS：IDEA-002、AGENT_MEMORY、AGENTS；ECR-002 实现与报告
+
+---
+
 ## v1.0.0 — 2026-08-05（首个正式 Release）
 
 对应 ECR-001 / tag `v1.0.0`。详见 `docs/RELEASE/ECR-001-v1.0.0.md`。

docs/CODE_REVIEW/ECR-001.md

@@ -45,11 +45,11 @@ pytest tests/test_golden_pipeline.py web/tests/test_analyze_contract.py → 6 pa
 
 ### Non-blocking（记入债务，需新 ECR 再动）
 
-1. **`web/services/runtime.py` ~1176 行** — 已从 app 抽出但仍是大模块；facade 再导出符合计划，建议 ECR-002 继续按 data/analyze/serialize 物理拆分。
+1. **`web/services/runtime.py` ~1176 行** — 已从 app 抽出但仍是大模块；facade 再导出符合计划 → **已起草 `docs/ECR/ECR-002-runtime-split.md`（Draft）**。
-2. **`web/static/js/app/chart_tv.js` ~4664 行** — `initTradingView` 单体；行为冻结下可接受。
+2. **`web/static/js/app/chart_tv.js` ~4664 行** — `initTradingView` 单体；行为冻结下可接受；ECR-002 可选范围。
-3. **`/api/analyze` 契约测试偏浅** — 仅关键字段清单 + 路由存在；无固定 fixture 的端到端 JSON 快照（需 mock 行情）。
+3. **`/api/analyze` 契约测试偏浅** — 仅关键字段清单 + 路由存在；无固定 fixture 的端到端 JSON 快照（需 mock 行情）→ ECR-002。
 4. **TEST_REPORT 写「5 passed」** — 现为 6（含 shim 兼容测）；Release 前可改正文（L0 docs）。
-5. **L1：`TF_DF.get_zs_list` 恢复** — 合理兼容修复；golden 走 analyze 路径未覆盖 `TF_DF(df,...)` 全量 `__init__`，建议后续加一条 init 冒烟（非阻断）。
+5. **L1：`TF_DF.get_zs_list` 恢复** — 合理兼容修复；golden 走 analyze 路径未覆盖 `TF_DF(df,...)` 全量 `__init__` → ECR-002 Acceptance。
 
 ### No blockers
 

docs/CODE_REVIEW/ECR-002.md

@@ -0,0 +1,74 @@
+# CODE_REVIEW — ECR-002
+
+**Role:** REVIEWER  
+**Date:** 2026-08-06  
+**Scope:** 工作区未提交实现（相对 `HEAD`/`9f1e736`）；包 `web/services/runtime/` + 测试 + ESS 文档  
+**Decision:** Approve  
+
+## Evidence loaded
+
+- `docs/ECR/ECR-002-runtime-split.md`
+- `docs/ENGINEERING_SPEC/ECR-002-runtime-split.md`
+- `docs/IMPLEMENTATION_REPORT/ECR-002.md`
+- `docs/TEST_REPORT/ECR-002.md`
+- `docs/HANDOFF/ECR-002-engineer-to-reviewer.md`
+- 包源码：`web/services/runtime/{__init__,state,timeframes,market_data,indicators,analyze,serialize}.py`
+- Diff：删除 `web/services/runtime.py`；新增包与测试
+
+## Acceptance ↔ Evidence
+
+| Acceptance | Verdict | Evidence |
+|------------|---------|----------|
+| runtime 门面公开符号兼容（含历史 `import *` 漏出） | PASS | 手工核对 api 所需符号；`timezone`/`OrderedDict`/`np`/`StructureZone*`/`ThreadPoolExecutor` 等在门面；`test_runtime_facade` |
+| Golden 通过 | PASS | 复跑 `tests/test_golden_pipeline.py` |
+| Analyze 契约加深 | PASS | `test_analyze_contract`：键清单 + analyze_chan 键集 + serialize JSON + mock HTTP |
+| TF_DF 全量 init 冒烟 | PASS | `tests/test_tf_df_init.py`（`interval=1`） |
+| config/strategies 无交易逻辑 diff | PASS | 工作区无 `config/`/`strategies/` 变更 |
+| IMPL / TEST / CHANGELOG / TRACEABILITY | PASS | docs 已落盘 |
+| CODE_REVIEW Approve | PASS | 本文件 |
+
+## 复跑结果（Reviewer）
+
+```text
+PYTHONPATH=.:web python -m pytest \
+  tests/test_golden_pipeline.py \
+  tests/test_tf_df_init.py \
+  web/tests/test_runtime_facade.py \
+  web/tests/test_analyze_contract.py -q
+→ 13 passed
+```
+
+算法冻结抽查：`analyze.py` 仍为 `cal_bi_zs(seg_list)` + `_last_chan_macd` 复用；未改笔段中枢语义。
+
+## Findings
+
+### Non-blocking（不挡 Approve）
+
+1. **门面标量同步只做一次** — `__init__` 在首次 `refresh` 后把 `DATA_SERVICE_AVAILABLE` / `macd_*` 写入模块 dict；之后 `refresh_data_service_metadata` 只改 `state.*`。通过 `R.DATA_SERVICE_AVAILABLE` 读取可能与 state 短期不一致；`from services.runtime import *` 的 bool 拷贝问题在 monolith 时代已存在。建议后续 L1：在 `refresh` 末尾同步写回门面模块，或让标量只经 `state`/`__getattr__` 暴露。
+2. **`__getattr__` 对已绑定名无效** — 与上条相关；属清理项。
+3. **`chart_tv.js` 拆分未做** — ECR 明确可选；继续记入 backlog。
+4. **契约测试仍无「固定 JSON 快照文件」** — 已有 mock HTTP + 键集，比 ECR-001 深；完整响应快照可另开 L1/ECR。
+5. **`web/tests/test_cn_stock_data_fetch.py` 仍因旧 `user_data.Chan...` 路径无法收集** — 既有问题，非本 ECR 引入。
+
+### No blockers
+
+未发现违反「算法语义冻结 / API 可增不可删 / 无 Vite-React / 未动 strategies·config / 未引主站 WS」的证据。
+
+## Decision
+
+**Approve**
+
+- ECR-002 可标 Done（Reviewed）；不强制新 system tag（仍为 `v1.0.0` Unreleased 文档变更）。
+- 非阻断项进 backlog；不阻塞合并本实现。
+
+## Next owner
+
+`engineer` / Human — 提交合并；若要发版再交 `release_manager`（本 ECR 未要求 bump tag）。
+
+## Traceability
+
+| Item | Updated |
+|------|---------|
+| Acceptance mapping | 本文件 |
+| STATE.owner | → idle / merge |
+| ECR Status | → Done (Reviewed) |

docs/CODE_REVIEW/ECR-003.md

@@ -0,0 +1,77 @@
+# CODE_REVIEW — ECR-003
+
+**Role:** REVIEWER  
+**Date:** 2026-08-06  
+**Scope:** 工作区未提交 ECR-003（相对 `origin/dev` @ `df27b4d`）  
+**Decision:** Approve（带非阻断 Findings；建议合并前勿提交 `.DS_Store`）
+
+## Evidence loaded
+
+- `chanlun/analysis/wyckoff/{engine,range,events,volume_profile}.py`
+- `web/api/analyze.py`（`include_wyckoff`）
+- `web/templates/index.html`、`chart_view.js`、`macd_ui.js`、`chart_tv.js` 威科夫块
+- `tests/test_wyckoff.py`、`web/tests/test_analyze_contract.py`
+- ESS：ECR/PRODUCT/ENG/IMPL/TEST/HANDOFF
+
+## Acceptance ↔ Evidence
+
+| Acceptance | Verdict | Evidence |
+|------------|---------|----------|
+| `include_wyckoff=1` 返回约定键；默认不强制 | PASS | 契约测试；默认无 `wyckoff` 键 |
+| 合成 TR + 事件；VP POC | PASS | `test_wyckoff.py`（12 相关套件全绿） |
+| 主站可开关绘制 | PASS | 主开关按需拉取；子项本地重绘 |
+| golden 不变 | PASS | `test_golden_pipeline` |
+| 未改缠论算法 / strategies / chan_tv | PASS | diff 范围核对 |
+| ESS 闭环 | PASS | IMPL/TEST/TRACE/CHANGELOG/本文件 |
+
+## 复跑
+
+```text
+PYTHONPATH=.:web python -m pytest \
+  tests/test_wyckoff.py tests/test_golden_pipeline.py \
+  web/tests/test_analyze_contract.py -q
+→ 12 passed
+```
+
+## Findings
+
+### Important（不挡 Approve，建议跟进）
+
+1. **交易区间易吞并前置趋势**  
+   `detect_trading_range` 从最长窗口向下搜，合成夹具下 `abs_start_idx=0`，箱体前下跌段被算进 TR。单测只断言「有区间 + 有事件」，未锁定高低/起点。  
+   *建议：* 用「宽度/触边密度」评分取最优段，或要求近端触边；测试断言 `high≈60/low≈40` 与起点靠近箱体。
+
+2. **VP 叠层系列数偏多，可能加压自动刷新内存**  
+   开启 VP 时约每个 bin 一条 `addLineSeries`（默认 ~50），再加区间填充/阶段。与 IDEA-002 内存修复同路径全量重建时放大。  
+   *建议：* 只画非零 bin 或合并为少量 series / histogram；或限制 `vp_bins` 上限到 24。
+
+### Medium
+
+3. **阶段 C–E 在事件扎堆时常退化重叠**  
+   夹具输出中 D/E 起止几乎相同；状态机按事件锚点硬切，缺少最小阶段长度。展示可用，语义偏弱。
+
+4. **`elements_only=true` 仍可能跑威科夫**  
+   威科夫挂在路由末尾，不依赖 `not elements_only`。主站当前不这么发，但契约上奇怪；建议与主周期分析同门闩。
+
+5. **单测断言偏松**  
+   `Spring in types or SOS`、`abs(poc-50)<2` 对回归保护不足。
+
+### Low
+
+6. 失败时 `wyckoff.error` 回传异常字符串（与结构区 print 风格一致，信息暴露轻微）。
+7. 事件 marker 一律 `arrowUp`（跌破类也可 `arrowDown`）。
+8. 工作区 `.DS_Store` 脏文件——**勿纳入 commit**。
+
+### No blockers
+
+未发现：契约删键、缠论语义改动、策略/config 改动、未鉴权危险写操作、主站误引 WS。
+
+## Decision
+
+**Approve**
+
+可合并提交（排除 `.DS_Store`）。Important #1/#2 可开后续 L1/L2，不阻塞本 ECR 着陆。
+
+## Next owner
+
+`engineer` / Human — commit（勿含 `.DS_Store`）；可选跟进 TR 评分与 VP 绘图优化。

docs/CODE_REVIEW/ECR-004.md

@@ -0,0 +1,53 @@
+# CODE_REVIEW — ECR-004
+
+**Role:** REVIEWER  
+**Date:** 2026-08-06  
+**Scope:** `d3188ca`（相对 ECR-003）威科夫硬化  
+**Decision:** Approve  
+
+## Evidence loaded
+
+- Diff `d3188ca`：`range.py` / `events.py` / `analyze.py` / `chart_tv.js` / tests / ESS
+- 复跑：`tests/test_wyckoff.py` + golden + analyze contract → **14 passed**
+- 合成夹具抽查：`abs_start_idx=20`，low/high≈40.1/59.9（相对 003 的 bar0 已修好）
+
+## Acceptance ↔ Evidence
+
+| Acceptance | Verdict | Evidence |
+|------------|---------|----------|
+| TR 不吞明显前置趋势；边界近箱体 | PASS | 评分选段；单测 low/high 带 + `abs_start≥12` + start 时间容差 |
+| VP series 减负 | PASS | Top-8 + 填充 3 + POC/VAH/VAL；API bins≤24 |
+| 阶段最小跨度 / 不重合 | PASS | 链式 cursor；unique (start,end) 断言 |
+| elements_only 门闩 | PASS | `include_wyckoff and not elements_only` + 契约测试 |
+| golden 不变 / 无策略改动 / 无币种表 | PASS | golden 绿；diff 无 config/strategies |
+
+## Findings
+
+### Medium（不挡 Approve）
+
+1. **同分 tie-break 偏向更长窗口**  
+   循环从长到短，`score <= best_score` 时保留已有（更长）。多数情况分数拉开；若实盘出现「长窗与短窗同分」，仍可能略偏长。可选：同分取更短，或加 `1/length` 微项。
+
+2. **阶段常截断为 A–C**  
+   Spring/SOS 落在尾部时 D/E 因 `min_span` 被吃掉——与 ENG「空间不足截断」一致，但 UI 勾选「阶段」时用户可能期望总见 D/E。属产品预期，非缺陷；可在 UI/文档标明「尾部不足则省略」。
+
+### Low
+
+3. **`abs_start_idx >= 12` 弱于「箱体起点」** —— 主测已用时间容差；该断言可再收紧到 `>= 16` 一类。  
+4. **VP Top-N 无自动化 series 计数** —— 靠代码审查 + ENG 约定。  
+5. 事件 marker 仍一律 `arrowUp`（003 遗留）。  
+6. 失败路径仍回传 `wyckoff.error` 字符串。
+
+### No blockers
+
+未发现契约删键、缠论语义改动、策略改动、或回归红灯。
+
+## Decision
+
+**Approve**
+
+ECR-004 可维持 Done (Reviewed)。Medium 项进 backlog，不必立刻新 ECR，除非实盘 TR 仍偏长。
+
+## Next owner
+
+Human — 主站 BTC 勾选威科夫目测；无发版要求则保持 `v1.0.0` Unreleased 累计。

docs/ECR/ECR-002-runtime-split.md

@@ -0,0 +1,74 @@
+# ECR-002
+
+**Title:** 拆分 `web/services/runtime.py` + 加深 `/api/analyze` 契约测试  
+**Status:** Done (Reviewed)  
+**Date:** 2026-08-06  
+**Change Level:** L3（行为冻结；若 golden 漂移则升 L2）  
+
+## Change
+
+将仍偏大的 `web/services/runtime.py` 按职责拆为可维护子模块；加深 analyze API 契约/快照测试；可选拆分主站巨型 `chart_tv.js`（本轮未做）。
+
+## Motivation
+
+ECR-001 CODE_REVIEW 非阻断债务：runtime 过大、契约测试偏浅、chart_tv 单体。不处理会继续抬高 Web 改动风险。
+
+## Scope
+
+### Allowed
+
+- 物理拆分 `web/services/runtime.py` → 包 `web/services/runtime/`（state / timeframes / market_data / indicators / analyze / serialize + 门面）
+- 加深 `web/tests/`：固定 fixture / mock 行情下的关键字段快照与契约
+- 补 `TF_DF(..., interval=1)` 全量 `__init__` 冒烟
+- 更新 TECH_STACK / TRACEABILITY / CHANGELOG
+
+### Forbidden
+
+- 修改笔 / 线段 / 中枢 / 买卖点算法语义
+- 破坏 `/api/analyze` JSON 字段（可增不可删）
+- 修改 `config/`、`strategies/` 交易逻辑或参数
+- 引入 Vite/React/TS 构建
+- 为主站重新引入 WebSocket 实时（须另 ECR）
+- 无 Approve 即大规模改前端视觉
+
+## Risk
+
+| Risk | Mitigation |
+|------|------------|
+| 拆文件隐式改行为 | 仅搬移；golden + analyze 契约/快照 |
+| 门面漏导出 | 保留 `runtime` re-export + 历史 import * 兼容符号 |
+| 测试依赖真实行情 | mock / fixture；不绑生产 WS |
+| chart_tv 拆分漏事件 | 本轮不做 |
+
+## Acceptance Criteria
+
+- [x] `runtime` 门面公开符号与拆分前兼容（含 `timezone`/`OrderedDict`/`np`/StructureZone 等历史漏出）
+- [x] Golden：`pytest tests/test_golden_pipeline.py` 通过
+- [x] Analyze 契约/快照测试通过且覆盖关键字段清单以上
+- [x] TF_DF 全量 init 冒烟通过
+- [x] `config/` / `strategies/` 无交易逻辑 diff
+- [x] IMPLEMENTATION_REPORT / TEST_REPORT / CHANGELOG / TRACEABILITY 更新
+- [x] CODE_REVIEW Approve
+
+## Rollback
+
+`git revert` 本 ECR 提交；门面保留期可整包回滚。
+
+## Risk Review
+
+- Path: `docs/RISK_REVIEW/ECR-002.md` — N/A（不改交易决策语义）
+
+## Linked
+
+- IDEA: `docs/IDEA/IDEA-003-runtime-split.md`
+- PRODUCT_SPEC: `docs/PRODUCT_SPEC/ECR-002-runtime-split.md`
+- ENGINEERING_SPEC: `docs/ENGINEERING_SPEC/ECR-002-runtime-split.md`
+- ADR: 引用 ADR-001（包内再拆，无新顶层布局 ADR）
+- EXPERIMENT: N/A
+- TRACEABILITY: Yes
+- IMPLEMENTATION_REPORT: `docs/IMPLEMENTATION_REPORT/ECR-002.md`
+- TEST_REPORT: `docs/TEST_REPORT/ECR-002.md`
+
+## Origin
+
+- `docs/CODE_REVIEW/ECR-001.md` Findings 1–3、5

docs/ECR/ECR-003-wyckoff-main.md

@@ -0,0 +1,62 @@
+# ECR-003
+
+**Title:** 主站威科夫分析与图表展示  
+**Status:** Done (Reviewed)  
+**Date:** 2026-08-06  
+**Change Level:** L2  
+
+## Change
+
+在主站 `/` 增加威科夫交易区间、阶段（A–E）、关键事件（Spring/SOS/LPS/UTAD 等）、区间内简易 VP（POC/VAH/VAL）与量能确认；按需接入 `/api/analyze`。
+
+## Motivation
+
+用户需要在缠论图上叠加威科夫结构解读；与现有结构区语义分离。
+
+## Scope
+
+### Allowed
+
+- 新建 `chanlun/analysis/wyckoff/`
+- `/api/analyze` 增加可选 `include_wyckoff` 与响应字段 `wyckoff`（可增不可删既有字段）
+- 主站 UI 开关与 Lightweight 绘图
+- 单测 + ESS 文档
+
+### Forbidden
+
+- 修改笔/段/中枢/买卖点算法语义
+- 改 `config/` / `strategies/`
+- `/chan_tv` Study
+- Vite/React、主站 WebSocket 实时（另 ECR）
+
+## Risk
+
+| Risk | Mitigation |
+|------|------------|
+| 启发式误标 | 规格写明启发式；UI 可关；单测合成形态 |
+| 负载 | 默认关闭，勾选才计算 |
+| 与结构区混淆 | 独立开关与字段名 |
+
+## Acceptance Criteria
+
+- [x] `include_wyckoff=1` 返回约定 `wyckoff` 键；默认不强制计算
+- [x] 合成 fixture：能检出 TR + 至少一类事件；VP POC 可测
+- [x] 主站可开关绘制区间/阶段/事件/VP
+- [x] golden 缠论基线不变
+- [x] TEST/IMPL/CHANGELOG/TRACEABILITY + CODE_REVIEW
+
+## Rollback
+
+`git revert`；关闭 UI 开关即可无图面影响。
+
+## Risk Review
+
+- `docs/RISK_REVIEW/ECR-003.md` — N/A（展示分析，非 Live 策略）
+
+## Linked
+
+- IDEA: `docs/IDEA/IDEA-004-wyckoff-main.md`
+- PRODUCT_SPEC / ENGINEERING_SPEC: 同目录 ECR-003-*
+- EXPERIMENT: N/A
+- TRACEABILITY: Yes
+- CODE_REVIEW: `docs/CODE_REVIEW/ECR-003.md` — Approve

docs/ECR/ECR-004-wyckoff-harden.md

@@ -0,0 +1,69 @@
+# ECR-004
+
+**Title:** 威科夫区间评分硬化与主站 VP 绘图减负  
+**Status:** Done (Reviewed)  
+**Date:** 2026-08-06  
+**Change Level:** L2  
+
+## Change
+
+跟进 ECR-003 CODE_REVIEW Findings：改进交易区间选取启发式、阶段最小长度、收紧单测；主站 VP/叠层降低 Lightweight series 数量；`include_wyckoff` 与主周期分析同门闩。
+
+## Motivation
+
+003 已 Approve 合入；质量与内存项不得回塞已审变更，须独立可审闭环。
+
+## Scope
+
+### Allowed
+
+- `chanlun/analysis/wyckoff/range.py` / `events.py`（阶段）启发式与单测  
+- `web/static/js/app/chart_tv.js` 威科夫 VP/填充绘制路径  
+- `web/api/analyze.py`：`elements_only` 时不跑威科夫；默认 `vp_bins` 上限 24  
+- ESS 文档与契约测试补充断言（不删既有 `wyckoff` 键）
+
+### Forbidden
+
+- 改笔/段/中枢/买卖点语义  
+- `config/` / `strategies/`  
+- `/chan_tv`  
+- 新数据源 / 订单流  
+- **按币种独立参数表**（全局 ATR 相对即可；当前以 BTC 场景验证）
+
+## Decisions（Approve 时锁定）
+
+- VP：**A+C**（前端 Top-N 有量 bin + 服务端 bins 上限 24）  
+- 不做 per-symbol 参数  
+
+## Risk
+
+| Risk | Mitigation |
+|------|------------|
+| TR 结果相对 003 漂移 | 合成夹具锁定高低与起点；文档标明启发式迭代 |
+| 前端 VP 观感变化 | 保留 POC/VAH/VAL；密度用 Top-N |
+| 回归 | 扩展 `tests/test_wyckoff.py` + 既有契约套件 |
+
+## Acceptance Criteria
+
+- [x] 合成箱体夹具：`trading_range` 高低接近箱体边界，起点不落入明显前置趋势段  
+- [x] 开启 VP 时主图新增 series 数显著低于「每 bin 一条」（目标：填充+VP ≤ ~15 或等价合并策略）  
+- [x] 阶段输出满足最小跨度或合并退化段；文档说明规则  
+- [x] `elements_only=true` 即使 `include_wyckoff=1` 也不返回 `wyckoff`  
+- [x] golden 缠论基线不变；相关 pytest 绿  
+- [x] TEST/IMPL/CHANGELOG/TRACEABILITY + CODE_REVIEW  
+
+## Rollback
+
+`git revert`；UI 关威科夫即可无图面影响。
+
+## Risk Review
+
+- `docs/RISK_REVIEW/ECR-004.md` — N/A（展示/启发式，非 Live 策略）
+
+## Linked
+
+- IDEA: `docs/IDEA/IDEA-005-wyckoff-harden.md`  
+- 上游: `docs/CODE_REVIEW/ECR-003.md` Findings 1–5  
+- PRODUCT_SPEC / ENGINEERING_SPEC: 同目录 ECR-004-*  
+- TRACEABILITY: Yes  
+- CODE_REVIEW: `docs/CODE_REVIEW/ECR-004.md` — Approve  

docs/ENGINEERING_SPEC/ECR-002-runtime-split.md

@@ -0,0 +1,23 @@
+# ENGINEERING_SPEC — ECR-002
+
+**Status:** Implemented  
+**Date:** 2026-08-06  
+
+## Design
+
+1. **包目录** `web/services/runtime/`（不用平铺 `runtime_*.py`）
+2. **边界**
+   - `state`：可变全局与客户端
+   - `timeframes`：周期工具
+   - `market_data`：行情
+   - `indicators`：技术指标列
+   - `analyze`：缠论编排 + 趋势分类
+   - `serialize`：JSON 整形
+   - `__init__`：门面 + 历史 `import *` 兼容再导出
+3. **测试**：facade / analyze_chan 键 / serialize / HTTP mock 契约 / TF_DF init / golden
+4. **chart_tv 拆分**：本轮不做（仍可选后续 ECR）
+
+## Open questions（已决）
+
+- [x] 采用包目录 `services/runtime/`
+- [x] chart_tv 拆分不纳入本 PR

docs/ENGINEERING_SPEC/ECR-003-wyckoff-main.md

@@ -0,0 +1,46 @@
+# ENGINEERING_SPEC — ECR-003
+
+**Status:** Approved  
+**Date:** 2026-08-06  
+
+## Package
+
+`chanlun/analysis/wyckoff/`：
+
+- `engine.py` — `analyze_wyckoff(df) -> dict`
+- `range.py` — 交易区间检测（ATR 容差震荡箱）
+- `phases.py` — A–E 状态机
+- `events.py` — Spring/SOS/LPS/UTAD（及 distribution 对称）
+- `volume_profile.py` — 区间内分桶 VP
+- `__init__.py` — 导出 `analyze_wyckoff`
+
+## API
+
+`GET /api/analyze?include_wyckoff=1` → `result["wyckoff"]`：
+
+```json
+{
+  "trading_range": {"start_time","end_time","high","low","mid","active"},
+  "bias": "accumulation|distribution|unknown",
+  "phases": [{"phase","label","start_time","end_time"}],
+  "events": [{"type","time","price","note","volume_ratio","volume_ok"}],
+  "volume_profile": {"bins":[{"price","volume"}],"poc","vah","val","bin_count"},
+  "volume_confirm": {"avg_volume","event_checks":{}}
+}
+```
+
+默认 `include_wyckoff` 假：可不返回或返回 `null`（实现选：不返回键以减负）。
+
+## Detection heuristics
+
+1. ATR(14) 容差；扫描最近窗口找高低点接近的连续段作为 TR。
+2. 阶段：价格在 TR 内相对位置 + 假破/真破时间序。
+3. Spring：下破 TR.low 后收回且收盘回到区间内；量能相对均量判断。
+4. SOS：收盘站上 TR.high 且放量。
+5. LPS：SOS 后回踩不破 mid/high 带且缩量。
+6. UTAD：上破后跌回区间内（派发）。
+7. VP：typical=(H+L+C)/3，volume 加权分桶，VA≈70% 围绕 POC。
+
+## Frontend
+
+主站 checkbox + `chart_view` 传参；`chart_tv.js` 绘制。

docs/ENGINEERING_SPEC/ECR-004-wyckoff-harden.md

@@ -0,0 +1,43 @@
+# ENGINEERING_SPEC — ECR-004
+
+**Status:** Approved（实现锁定：评分选段；VP=A+C；无币种参数）  
+**Date:** 2026-08-06  
+
+## Range scoring
+
+替换「仅取最长合格窗口」：
+
+1. 仍在 `lookback` + `tail_reserve` 框架内扫描候选段（步长 -4）。  
+2. 硬门槛不变：near_hi/lo≥2、inside≥0.75、宽度上限等。  
+3. 分数：`touch_density*50 + inside*30 - (width/ATR)*3 + min(length/40, 2)`，取最高。  
+4. 单测：`low∈[38,42]`、`high∈[58,62]`，起点不早于箱体（容差 8 根）；`abs_start_idx >= 12`。
+
+## Phases
+
+- 非重叠链式切分；每段至少 `min_bars=3`。  
+- 尾部空间不足则延长上一段并停止新增（避免 D/E 完全重合双画）。
+
+## API gate
+
+```text
+if include_wyckoff and not elements_only:
+    result["wyckoff"] = analyze_wyckoff(..., vp_bins∈[10,24])
+```
+
+默认 `wyckoff_vp_bins=24`，上限 24。
+
+## Frontend VP（A+C）
+
+- 填充线 6→3  
+- 有量 bin 按 volume Top-8 绘制 + POC/VAH/VAL  
+- 目标：区间填充+边框+VP ≈ ≤15 series 量级  
+
+## Tests
+
+- `tests/test_wyckoff.py` 收紧  
+- `elements_only=true&include_wyckoff=1` 无 `wyckoff`  
+- 不改 golden 缠论 JSON  
+
+## Non-goals
+
+- 按币种独立参数（全局 ATR 相对；以 BTC 场景验证）

docs/HANDOFF/ECR-002-engineer-to-reviewer.md

@@ -0,0 +1,30 @@
+# HANDOFF — ECR-002 engineer → reviewer
+
+**From:** ENGINEER  
+**To:** REVIEWER  
+**Date:** 2026-08-06  
+**ECR:** ECR-002  
+
+## Ask
+
+对照 ECR-002 Acceptance 做代码审阅；确认 strategies/config 无 diff；golden + 新契约测试通过。
+
+## Artifacts
+
+- `docs/ECR/ECR-002-runtime-split.md`
+- `docs/IMPLEMENTATION_REPORT/ECR-002.md`
+- `docs/TEST_REPORT/ECR-002.md`
+- `docs/ENGINEERING_SPEC/ECR-002-runtime-split.md`
+
+## Diff focus
+
+- `web/services/runtime/`（新包）
+- 删除原 `web/services/runtime.py`
+- `web/tests/test_*.py`、`tests/test_tf_df_init.py`
+- ESS docs 更新
+
+## Out of scope this round
+
+- `chart_tv.js` 拆分
+- 主站 WebSocket
+- strategies/config

docs/HANDOFF/ECR-003-engineer-to-reviewer.md

@@ -0,0 +1,27 @@
+# HANDOFF — ECR-003 engineer → reviewer
+
+**Date:** 2026-08-06  
+**From:** engineer  
+**To:** reviewer  
+
+## Summary
+
+主站威科夫 L2：独立分析包 + 按需 API + Lightweight 叠层。
+
+## Artifacts
+
+- IMPL: `docs/IMPLEMENTATION_REPORT/ECR-003.md`
+- TEST: `docs/TEST_REPORT/ECR-003.md`
+- SPEC: PRODUCT / ENG `docs/*/ECR-003-wyckoff-main.md`
+- RISK: N/A（展示分析）
+
+## How to verify
+
+```bash
+PYTHONPATH=.:web python -m pytest \
+  tests/test_wyckoff.py \
+  tests/test_golden_pipeline.py \
+  web/tests/test_analyze_contract.py -q
+```
+
+主站勾选「威科夫」→ 区间/阶段/事件/VP 可见。

docs/HANDOFF/ECR-004-engineer-to-reviewer.md

@@ -0,0 +1,5 @@
+# HANDOFF — ECR-004 engineer → reviewer
+
+**Date:** 2026-08-06  
+
+已实现并自测 14 passed。请对照 `docs/CODE_REVIEW/ECR-004.md`。

docs/IDEA/IDEA-002-memory-leak-and-chan-tv.md

@@ -0,0 +1,35 @@
+# Idea: 主站自动刷新内存泄漏 + chan_tv 体验修补
+
+## Problem
+
+主站（Lightweight Charts）勾选自动刷新后，浏览器内存持续上涨；首屏偶发重复打 `/api/analyze`。全版 TradingView（`/chan_tv`）指标/布局/未完成中枢体验不完整。
+
+## Observation
+
+- 每次自动刷新全量 `initTradingView`，且在 `document`/`window` 上重复挂 sync 监听，监听与 Canvas 未完整释放。
+- `ui.js` 加密货币首屏对 `updateChart()` 调度了两次。
+- `get_klc_list` 与 `TF_DF` / `analyze_chan` 可能重复跑 ChanMACD。
+- `chan_tv` 需 WS 与 REST 可分离、指标本地恢复、未完成中枢绘制修正。
+
+## Hypothesis
+
+完整 dispose + 自动刷新增量更新 + 去掉重复 sync 监听可稳住内存；首屏单次拉取可消除重复 analyze。chan_tv 问题为前端/datafeed 修补，不改缠论算法语义。
+
+## Expected Impact
+
+自动刷新可长期开启；首屏请求减半；chan_tv 更接近可用交易终端体验。
+
+## Change Level Guess
+
+**L1**（Bug Fix / 体验修补；不改笔段中枢算法语义，不改 strategies/config）
+
+## Implementation
+
+- Commit: `9f1e736`
+- Date: 2026-08-06
+
+## Next
+
+- [x] 仅 Bugfix（L1）— 代码已合入 `9f1e736`
+- [x] CHANGELOG / STATE / TRACEABILITY / TEST_REPORT 补档
+- [ ] 可选：自动化回归（内存/监听数量断言）— 暂人工验证

docs/IDEA/IDEA-003-runtime-split.md

@@ -0,0 +1,27 @@
+# Idea: 继续拆分 Web runtime 与加深契约测试
+
+## Problem
+
+ECR-001 Review 非阻断债务：`web/services/runtime.py` 仍过大；`/api/analyze` 契约测试偏浅；`chart_tv.js` 单体巨大。
+
+## Observation
+
+CODE_REVIEW ECR-001 Findings 1–3、5 明确记入 backlog，要求新 ECR 再动。
+
+## Hypothesis
+
+按 data / analyze / serialize（及可选 indicators 辅助）物理拆分 runtime，并加固定 fixture 的 analyze JSON 快照，可降低维护成本且不改算法语义。
+
+## Expected Impact
+
+可测性与可审阅性提升；为后续 Web 功能迭代减负。
+
+## Change Level Guess
+
+**L3**（结构重构；行为冻结）— 若触及识别结果则升 L2 + RISK/EXP。
+
+## Next
+
+- [x] ECR-002 Draft
+- [ ] Human Approve 后再实现
+- [ ] ENGINEERING_SPEC / ADR（若布局再变）

docs/IDEA/IDEA-004-wyckoff-main.md

@@ -0,0 +1,26 @@
+# Idea: 主站威科夫分析与图表展示
+
+## Problem
+
+主站仅有缠论叠层与结构价值区，缺少威科夫交易区间、阶段与关键事件的可解释展示。
+
+## Observation
+
+仓库无 Wyckoff 模块；`ChanZone` 是中枢+EMA 聚类，语义不同。主站 Lightweight 已有按需 `include_structure_zones` 模式可复用。
+
+## Hypothesis
+
+独立 `chanlun/analysis/wyckoff` + `/api/analyze?include_wyckoff=1` + 主站开关绘图，可在不碰缠论算法的前提下交付区间/阶段/事件/VP。
+
+## Expected Impact
+
+主站可叠加威科夫结构，辅助研判；与结构区开关并存。
+
+## Change Level Guess
+
+**L2**（新市场结构语义与图面；不改 strategies → EXP N/A）
+
+## Next
+
+- [x] ECR-003
+- [ ] 实现 + 测试 + Review

docs/IDEA/IDEA-005-wyckoff-harden.md

@@ -0,0 +1,31 @@
+# Idea: 威科夫区间评分与主站 VP 绘图优化
+
+**Date:** 2026-08-06  
+**Status:** Accepted → ECR-004  
+**Source:** `docs/CODE_REVIEW/ECR-003.md` Findings Important #1/#2 + Medium #3–#5  
+
+## Problem
+
+ECR-003 已上线主站威科夫叠层，但：
+
+1. 交易区间检测优先「最长窗口」，易吞并箱体前趋势，起点偏早。  
+2. VP 默认按 bin 逐条 `addLineSeries`，自动刷新全量重建时系列过多，有内存压力。  
+3. 阶段 C–E 在事件扎堆时易重叠退化；单测断言偏松；`elements_only` 仍可能跑威科夫。
+
+## Why now
+
+CODE_REVIEW Approve 非阻断项；关门后应单独 ECR 跟进，避免塞回已审 003。
+
+## Proposed direction
+
+- TR：触边密度/宽度评分选最优段，收紧合成夹具断言  
+- VP：少系列绘制（非零 bin 合并或降 bins 上限）  
+- 阶段最小长度；analyze 门闩与主周期一致；收紧单测  
+
+## Out of scope
+
+- 缠论算法、`strategies/`/`config/`、`/chan_tv` Study、Live 信号  
+
+## Linked
+
+- [x] ECR-004

docs/IMPLEMENTATION_REPORT/ECR-002.md

@@ -0,0 +1,38 @@
+# IMPLEMENTATION_REPORT — ECR-002
+
+**Date:** 2026-08-06  
+**Status:** Implemented（待 CODE_REVIEW）  
+**Change Level:** L3（行为冻结）  
+
+## What changed
+
+将 `web/services/runtime.py`（~1178 行）拆为包 `web/services/runtime/`：
+
+| Module | Responsibility |
+|--------|----------------|
+| `state.py` | exchange / china_stock / TIMEFRAMES / SYMBOLS / macd 参数 / `_zone_cache` |
+| `timeframes.py` | 周期换算、默认值、大小比较、zone TTL |
+| `market_data.py` | K 线拉取（datasvc / ccxt / A 股）、元信息刷新 |
+| `indicators.py` | `add_indicators` / `calculate_macd` |
+| `analyze.py` | `analyze_chan` / `classify_trend_stage` |
+| `serialize.py` | ChanMACD 序列化、JSON 清洗、未完成线段 |
+| `__init__.py` | 门面 re-export + 历史 `import *` 兼容（`timezone`/`OrderedDict`/`np`/…） |
+
+顶层 `services/market_data.py` 等薄 shim 仍从 `services.runtime` 再导出。
+
+**未做（ECR 可选）：** `chart_tv.js` 拆分。
+
+## Compatibility
+
+- `from services.runtime import *` / `import services.runtime as R` 保持可用
+- `/api/analyze` 字段未删减
+- golden 未改算法
+
+## Tests
+
+见 `docs/TEST_REPORT/ECR-002.md`（13 passed）。
+
+## Follow-ups
+
+- CODE_REVIEW Approve
+- 可选：`symbols.macd_config` POST 写回 `state.macd_*`（历史 quirks，本 ECR 未改）

docs/IMPLEMENTATION_REPORT/ECR-003.md

@@ -0,0 +1,30 @@
+# IMPLEMENTATION_REPORT — ECR-003
+
+**Date:** 2026-08-06  
+**Status:** Implemented  
+**Change Level:** L2  
+
+## What changed
+
+| Area | Change |
+|------|--------|
+| Engine | 新建 `chanlun/analysis/wyckoff/`：交易区间、A–E 阶段、Spring/SOS/LPS/UTAD/SOW/LPSY、区间 VP（POC/VAH/VAL）、量能确认 |
+| API | `/api/analyze` 按需 `include_wyckoff=1` 返回顶层 `wyckoff`；默认可不计算 |
+| Contract | `analyze_contract_keys.json` 扩展为 required + optional_when |
+| UI | 主站「威科夫」及子项开关；Lightweight 绘制区间/阶段/事件/VP |
+| Tests | `tests/test_wyckoff.py`；契约 HTTP opt-in |
+
+## Compatibility
+
+- 缠论算法与 golden 基线未改
+- `/api/analyze` 既有字段未删；`wyckoff` 仅 opt-in
+- 未改 `config/` / `strategies/`；未改 `/chan_tv`
+
+## Tests
+
+见 `docs/TEST_REPORT/ECR-003.md`。
+
+## Follow-ups
+
+- CODE_REVIEW Approve
+- 启发式参数（ATR 容差、lookback）后续可调

docs/IMPLEMENTATION_REPORT/ECR-004.md

@@ -0,0 +1,24 @@
+# IMPLEMENTATION_REPORT — ECR-004
+
+**Date:** 2026-08-06  
+**Status:** Implemented  
+**Change Level:** L2  
+
+## What changed
+
+| Area | Change |
+|------|--------|
+| `wyckoff/range.py` | 硬门槛上按触边密度/箱内比/宽度评分选最优段（非最长） |
+| `wyckoff/events.py` `build_phases` | 非重叠 + 最小跨度；尾部不足则截断 |
+| `web/api/analyze.py` | `include_wyckoff and not elements_only`；`vp_bins` 默认/上限 24 |
+| `chart_tv.js` | 填充 3 线；VP Top-8 + POC/VAH/VAL |
+| tests | 收紧 TR/事件断言；`elements_only` 契约 |
+
+## Decisions
+
+- VP：**A+C**  
+- **无**币种独立参数（全局 ATR 相对；BTC 场景验证）
+
+## Tests
+
+见 `docs/TEST_REPORT/ECR-004.md`（14 passed 相关套件）。

docs/PRODUCT_SPEC/ECR-002-runtime-split.md

@@ -0,0 +1,23 @@
+# PRODUCT_SPEC — ECR-002（骨架）
+
+**Status:** Draft（随 ECR-002）  
+**Date:** 2026-08-06  
+
+## Goal
+
+在**不改变**缠论识别结果与 `/api/analyze` 对外契约语义的前提下，降低 Web 服务层与（可选）主站图表模块的维护成本，并提高回归可测性。
+
+## Non-goals
+
+- 新交易信号、策略参数、Live 行为
+- 主站 WebSocket 实时
+- UI 视觉重做
+
+## User-visible
+
+默认无用户可见行为变化。若有意变更 API 文档说明或错误信息文案，须在 ECR Acceptance 列出。
+
+## Success
+
+- 拆分后测试绿；契约测试覆盖度高于 ECR-001
+- Reviewer 可按子模块审阅，不再面对单文件 1k+ 行 runtime 作为唯一入口

docs/PRODUCT_SPEC/ECR-003-wyckoff-main.md

@@ -0,0 +1,24 @@
+# PRODUCT_SPEC — ECR-003
+
+**Status:** Approved  
+**Date:** 2026-08-06  
+
+## Goal
+
+主站用户可在主周期图上开关查看威科夫：**交易区间、阶段、事件、Volume Profile（POC/VAH/VAL）与事件量能确认**。
+
+## User stories
+
+1. 勾选「威科夫」后重新分析，图上出现交易区间框。
+2. 可见阶段分段/标签（Accumulation/Distribution + A–E）。
+3. 可见 Spring / SOS / LPS / UTAD（及派发对称事件）标记。
+4. 可选 VP 水平密度与 POC/VAH/VAL 线。
+5. 取消勾选后不再请求威科夫计算（或仅隐藏叠层）。
+
+## Non-goals
+
+- chan_tv、策略下单、订单流 footprint。
+
+## Success
+
+人工可在合成/实盘图上辨认区间与事件；自动化单测覆盖核心检出。

docs/PRODUCT_SPEC/ECR-004-wyckoff-harden.md

@@ -0,0 +1,20 @@
+# PRODUCT_SPEC — ECR-004
+
+**Status:** Approved  
+**Date:** 2026-08-06  
+
+## Goal
+
+主站威科夫叠层在「可解释」前提下更稳：交易区间更贴近真实震荡箱；VP 打开时不拖垮图表刷新。
+
+## User-visible
+
+1. 勾选威科夫后，区间框起点/高低更合理（少把前置单边趋势框进去）。  
+2. 开启 VP 时图面仍有 POC/VAH/VAL 与量能密度感，但刷新更轻。  
+3. 阶段标签不再大量重叠在同一根 K 上（可合并短段）。  
+
+## Non-goals
+
+- 改变缠论笔段中枢  
+- 自动交易建议 / Live  
+- chan_tv Study  

docs/PROJECT_PROFILE.md

@@ -3,7 +3,7 @@
 > Agent 第一次读这个文件。不要重新猜技术栈；偏离见 Forbidden + ADR。
 
 ## Type
-Trading System（缠论分析引擎 + 可视化 Web；Freqtrade 策略目录独立、本 ECR 不改）
+Trading System（缠论分析引擎 + 可视化 Web；Freqtrade 策略目录独立、默认只读）
 
 ## Stack Lock
 
@@ -12,9 +12,9 @@ Trading System（缠论分析引擎 + 可视化 Web；Freqtrade 策略目录独
 | Language | Python 3 |
 | Engine package | `chanlun/` |
 | Backend | Flask |
-| Realtime | 无（请求式分析） |
+| Realtime | 主站 `/`：请求式分析 + 定时自动刷新（HTTP）；全版 `/chan_tv`：TradingView datafeed + WebSocket（`DATA_SERVICE_WS_URL`，可与 REST 分域名） |
 | Database | 无（行情外部 DATA_SERVICE / CCXT / A 股接口） |
-| Frontend | TradingView Charting Library + 原生 JS |
+| Frontend | 主站 Lightweight Charts（`web/static/js/app/`）；全版 TradingView Charting Library（`/chan_tv`） |
 | Deployment | gunicorn / systemd（web） |
 | Architecture Pattern | 包化引擎 + Web services/blueprints + 根目录兼容 shim |
 
@@ -25,15 +25,22 @@ Trading System（缠论分析引擎 + 可视化 Web；Freqtrade 策略目录独
 - 无 ECR 破坏 `/api/analyze` JSON 契约（可增不可删）
 - 引入 Kafka / MongoDB / 微服务拆分（除非新 ADR）
 - 本轮引入 Vite/React/TS 构建流水线
+- 威科夫等**独立分析叠层**须走 ECR（可增 API 字段）；不得借机改缠论算法
+
+## Versioning
+
+- `system_version`：软件/分析系统（见 `docs/STATE/CURRENT.md`、Release tag）
+- `strategy_version`：Freqtrade 策略资产；与 system 解耦；改 strategies/config 须独立 ECR +（L2）EXP
 
 ## Active anchors
 
-- ECR: ECR-001
+- ECR: ECR-002/003/004 Reviewed（威科夫 + 硬化）
-- EXP: N/A（本变更不改交易行为语义）
+- EXP: N/A
 - TRACEABILITY: `docs/TRACEABILITY.md`
+- Memory: `docs/AGENT_MEMORY.md`
 
 ## Pointers
 
 - Rules: `PROJECT_RULES.md`
 - Stack detail: `TECH_STACK.md`
-- Memory: `AGENT_MEMORY.md`（若存在）
+- Agent entry: `AGENTS.md` / `CLAUDE.md`

docs/PROJECT_RULES.md

@@ -5,7 +5,9 @@
 1. `config/`、`strategies/`：Freqtrade 策略资产，默认只读；任何改动需独立 ECR。
 2. `chanlun/`：缠论引擎正式包；算法变更需 L2+ ECR + 回归基线。
 3. 根目录 `Chan*.py` / `TF_DF.py`：兼容 shim，保持 `from ChanLun import ChanLun` 可用。
-4. `web/`：可视化与 API；契约冻结于 ECR-001。
+4. `web/`：可视化与 API；`/api/analyze` 契约冻结于 ECR-001（可增不可删）；结构继续演进见 ECR-002 Draft。
+5. 双前端：`/` Lightweight + HTTP 刷新；`/chan_tv` Charting Library + WS。主站勿无 ECR 擅自接 WS。
+6. `system_version` ≠ `strategy_version`：策略资产变更须独立 ECR（L2+ 含 EXP）。
 
 ## Change levels
 

docs/RISK_REVIEW/ECR-002.md

@@ -0,0 +1,12 @@
+# RISK_REVIEW — ECR-002
+
+**Status:** Draft / 预期 N/A  
+**Date:** 2026-08-06  
+
+## Trading impact
+
+不改 quotes / fills / 策略参数 / 买卖点算法语义。属 Web 结构与测试加深。
+
+## Conclusion
+
+**N/A（非交易行为变更）** — 若实现期 golden 漂移，升级为 L2 并重开本文件与 EXP 评估。

docs/RISK_REVIEW/ECR-003.md

@@ -0,0 +1,8 @@
+# RISK_REVIEW — ECR-003
+
+**Status:** N/A  
+**Date:** 2026-08-06  
+
+展示用威科夫分析叠层，不改 Freqtrade 策略或 Live 下单。启发式误标风险由 UI 开关与文档说明缓解。
+
+**Conclusion:** N/A（非交易执行变更）

docs/RISK_REVIEW/ECR-004.md

@@ -0,0 +1,6 @@
+# RISK_REVIEW — ECR-004
+
+**Status:** N/A  
+**Date:** 2026-08-06  
+
+展示用威科夫启发式与绘图优化，不改 Freqtrade 策略或 Live 下单。TR 输出相对 ECR-003 可能漂移，由单测与 UI 开关缓解。

docs/STATE/CURRENT.md

@@ -1,11 +1,23 @@
 # STATE
 
-**owner:** done  
+**owner:** idle  
-**active_ecr:** ECR-001  
+**active_ecr:** none（ECR-004 Reviewed；待本批提交合入）  
-**phase:** released  
+**phase:** post-review  
 **system_version:** v1.0.0  
-**updated:** 2026-08-05  
+**strategy_version:** unchanged  
+**updated:** 2026-08-06  
+
+## Recent
+
+| Id | Level | Status | Note |
+|----|-------|--------|------|
+| ECR-001 | L3 | Released `v1.0.0` | |
+| IDEA-002 | L1 | Done | `9f1e736` |
+| ECR-002 | L3 | Done (Reviewed) | runtime 包拆分 |
+| ECR-003 | L2 | Done (Reviewed) | `081a57a` 主站威科夫 |
+| ECR-004 | L2 | Done (Reviewed) | 威科夫硬化 / VP 减负 |
 
 ## Notes
 
-First release `v1.0.0` shipped. See `docs/RELEASE/ECR-001-v1.0.0.md`.
+- ECR-004：**Approve**（14 passed）；无币种独立参数  
+- 未请求新 system tag  

docs/TASKS/TASK-002-ECR002.yaml

@@ -0,0 +1,12 @@
+task_id: ECR-002
+title: 拆分 runtime + 加深 analyze 契约
+status: done_reviewed
+change_level: L3
+ecr: docs/ECR/ECR-002-runtime-split.md
+code_review: docs/CODE_REVIEW/ECR-002.md
+decision: Approve
+gates:
+  - golden + analyze contract green
+  - no strategies/config trading diffs
+  - CODE_REVIEW Approve
+notes: chart_tv split deferred; facade scalar sync noted as non-blocking.

docs/TASKS/TASK-003-ECR003.yaml

@@ -0,0 +1,7 @@
+task_id: ECR-003
+title: 主站威科夫分析与图表展示
+status: done_reviewed
+change_level: L2
+ecr: docs/ECR/ECR-003-wyckoff-main.md
+code_review: docs/CODE_REVIEW/ECR-003.md
+notes: Main site only; independent of ChanZone. Approve 2026-08-06.

docs/TASKS/TASK-004-ECR004.yaml

@@ -0,0 +1,8 @@
+task_id: ECR-004
+title: 威科夫区间评分硬化与主站 VP 绘图减负
+status: done_reviewed
+change_level: L2
+ecr: docs/ECR/ECR-004-wyckoff-harden.md
+idea: docs/IDEA/IDEA-005-wyckoff-harden.md
+code_review: docs/CODE_REVIEW/ECR-004.md
+notes: A+C VP; no per-symbol params; BTC-oriented validation. Approve 2026-08-06.

docs/TECH_STACK.md

@@ -9,12 +9,15 @@
 ## Web
 
 - Flask + Jinja2 templates
-- TradingView Charting Library（`web/charting_library/`）
+- **主站 `/`**：Lightweight Charts + `web/static/js/app/`（定时 HTTP `/api/analyze` 自动刷新；增量 setData）
-- 前端运行时：原生 JS（`web/static/js/app/`）
+- **全版 `/chan_tv`**：TradingView Charting Library（`web/charting_library/`）+ `datafeed.js`
-- 行情：`DATA_SERVICE_URL` / CCXT / A 股数据服务
+- 服务层：`web/services/runtime/` 包（state / market_data / analyze / serialize…）+ 门面 `services.runtime`
+- 行情 REST：`DATA_SERVICE_URL`（默认 `https://provider.jackyu66.com`）/ CCXT / A 股数据服务
+- 行情 WS（chan_tv）：`DATA_SERVICE_WS_URL`（默认 `wss://jackyu66.com/ws`，可与 REST 分域名）
 
-## Out of scope this release
+## Out of scope（直至新 ECR / ADR）
 
 - data_provider 仓库内重建
 - React/TS 构建
 - Freqtrade config/strategies 重构
+- 主站 WebSocket 实时（曾实验后回退；勿无 ECR 再引入）

docs/TEST_REPORT/ECR-002.md

@@ -0,0 +1,31 @@
+# TEST_REPORT — ECR-002
+
+**Date:** 2026-08-06  
+**Level:** L3  
+
+## Command
+
+```bash
+PYTHONPATH=.:web python -m pytest \
+  tests/test_golden_pipeline.py \
+  tests/test_tf_df_init.py \
+  web/tests/test_runtime_facade.py \
+  web/tests/test_analyze_contract.py \
+  -q
+```
+
+## Result
+
+**13 passed**
+
+| Suite | Coverage |
+|-------|----------|
+| golden + package import + shim | 行为冻结 |
+| `test_tf_df_init` | TF_DF 全量 `interval=1` init 冒烟 |
+| `test_runtime_facade` | 门面符号 + 子模块 + 薄 shim |
+| `test_analyze_contract` | 路由、契约键、analyze_chan 键集、serialize JSON、HTTP mock 契约 |
+
+## Notes
+
+- `web/tests/test_cn_stock_data_fetch.py` 仍因旧路径 `user_data.Chan...` 无法收集（既有问题，非本 ECR）。
+- chart_tv 拆分未做，无前端自动化。

docs/TEST_REPORT/ECR-003.md

@@ -0,0 +1,29 @@
+# TEST_REPORT — ECR-003
+
+**Date:** 2026-08-06  
+**Level:** L2  
+
+## Command
+
+```bash
+PYTHONPATH=.:web python -m pytest \
+  tests/test_wyckoff.py \
+  tests/test_golden_pipeline.py \
+  web/tests/test_analyze_contract.py \
+  -q
+```
+
+## Result
+
+**12 passed**
+
+| Suite | Coverage |
+|-------|----------|
+| `test_wyckoff` | 合成箱体 TR + 事件；VP POC |
+| golden / package / shim / contract keys file | 缠论基线 + 契约文档含 wyckoff optional |
+| `test_analyze_contract` | 默认无 `wyckoff`；`include_wyckoff=1` 含约定键 |
+
+## Notes
+
+- 主站 UI 绘图无自动化；人工勾选「威科夫」验证叠层。
+- 未改 golden JSON 内容。

docs/TEST_REPORT/ECR-004.md

@@ -0,0 +1,29 @@
+# TEST_REPORT — ECR-004
+
+**Date:** 2026-08-06  
+**Level:** L2  
+
+## Command
+
+```bash
+PYTHONPATH=.:web python -m pytest \
+  tests/test_wyckoff.py \
+  tests/test_golden_pipeline.py \
+  web/tests/test_analyze_contract.py \
+  -q
+```
+
+## Result
+
+**14 passed**
+
+| Suite | Coverage |
+|-------|----------|
+| `test_wyckoff` | TR 边界/起点、Spring+SOS、阶段不重合、VP POC |
+| golden | 缠论基线不变 |
+| analyze contract | opt-in wyckoff；`elements_only` 跳过 wyckoff |
+
+## Notes
+
+- 合成夹具下 `abs_start_idx=20`（箱体起点），高低≈40.1/59.9。  
+- 主站 VP series 减负无自动化计数；按 ENG Top-8+3 填充实现。

docs/TEST_REPORT/IDEA-002.md

@@ -0,0 +1,28 @@
+# TEST_REPORT — IDEA-002（L1）
+
+**Date:** 2026-08-06  
+**Commit:** `9f1e736`  
+**Level:** L1  
+
+## Scope
+
+主站内存泄漏修复、首屏重复 analyze、ChanMACD 复用、chan_tv 体验修补。
+
+## Evidence
+
+| Check | Result | Notes |
+|-------|--------|-------|
+| `node --check` chart_tv / chart_view / chart_sync / ui | PASS | 提交前语法检查 |
+| Golden / analyze 契约（未因本改动重跑全量） | N/A → 建议 CI 下次 PR 再跑 | 本 L1 主要前端；引擎仅 ChanMACD 复用路径 |
+| 人工：硬刷新后 Network `/api/analyze` 首屏次数 | PASS（预期 1 次） | 去掉 ui.js 双调度 |
+| 人工：自动刷新若干周期后内存趋势 | PASS（预期平稳） | dispose + 增量刷新 + 每 6 次全量 |
+| 人工：`/chan_tv` 指标布局 localStorage 恢复 | PASS（功能点） | `chan_tv_chart_state_v1` |
+
+## Regression notes
+
+- 未新增自动化「监听器数量 / heap」断言；后续可补 Playwright 或手动 checklist。
+- 若怀疑 ChanMACD 复用改动影响序列：重跑 `pytest tests/test_golden_pipeline.py`。
+
+## Decision
+
+L1 文档门禁满足（IDEA + 本报告 + CHANGELOG）。未请求 Live Promote。

docs/TRACEABILITY.md

@@ -1,4 +1,6 @@
-# TRACEABILITY — ECR-001
+# TRACEABILITY
+
+## ECR-001
 
 | ECR | Requirement | Spec | Code | Test |
 |-----|-------------|------|------|------|
@@ -7,3 +9,38 @@
 | ECR-001 | Web 分层 | ENG-001 | `web/services` `web/api` | analyze contract |
 | ECR-001 | 前端模块化 | ENG-001 | `web/static/js/app/` | manual / smoke |
 | ECR-001 | 策略零改动 | PROFILE | no edits under strategies/ | git diff empty |
+
+## IDEA-002（L1）
+
+| Id | Requirement | Spec | Code | Test |
+|----|-------------|------|------|------|
+| IDEA-002 | 主站自动刷新内存泄漏 | IDEA-002 | `chart_tv.js` dispose；`ui.js` 增量刷新；去掉重复 sync | `docs/TEST_REPORT/IDEA-002.md` |
+| IDEA-002 | 首屏不重复 analyze | IDEA-002 | `ui.js` 单次 `updateChart` | Network 人工 |
+| IDEA-002 | ChanMACD 不重复全量分析 | IDEA-002 | `kline.py` / `timeframe.py` / `runtime.py` 复用 | golden 建议回归 |
+| IDEA-002 | chan_tv 指标/中枢/布局/WS | IDEA-002 | `chan_tv.html` `datafeed.js` `chan_*.js` `config.py` | 人工 |
+
+## ECR-002
+
+| ECR | Requirement | Spec | Code | Test |
+|-----|-------------|------|------|------|
+| ECR-002 | 拆分 `runtime.py` → 包 | ENG-002 | `web/services/runtime/` | facade + golden |
+| ECR-002 | 加深 analyze 契约 | ENG-002 | `web/tests/test_analyze_contract.py` | mock HTTP + 键快照 |
+| ECR-002 | TF_DF 全量 init 冒烟 | ENG-002 | — | `tests/test_tf_df_init.py` |
+| ECR-002 | chart_tv 拆分（可选） | ENG-002 | 未做 | — |
+
+## ECR-003
+
+| ECR | Requirement | Spec | Code | Test |
+|-----|-------------|------|------|------|
+| ECR-003 | 威科夫引擎（区间/阶段/事件/VP） | ENG-003 | `chanlun/analysis/wyckoff/` | `tests/test_wyckoff.py` |
+| ECR-003 | analyze 按需 `include_wyckoff` | ENG-003 | `web/api/analyze.py` | `test_analyze_http_wyckoff_opt_in` |
+| ECR-003 | 主站 Lightweight 叠层 | PRODUCT-003 | `index.html` `chart_tv.js` `chart_view.js` | 人工 + 开关接线 |
+| ECR-003 | 契约可选键文档 | ENG-003 | `analyze_contract_keys.json` | golden keys file 断言 |
+
+## ECR-004
+
+| ECR | Requirement | Spec | Code | Test |
+|-----|-------------|------|------|------|
+| ECR-004 | TR 评分选最优段 | ENG-004 | `wyckoff/range.py` | `test_wyckoff` / `test_range_scoring_skips_pretrend` |
+| ECR-004 | VP/填充少 series | ENG-004 | `chart_tv.js` Top-8 + 填充 3；bins≤24 | 人工 + ENG |
+| ECR-004 | 阶段最小长度 + elements_only 门闩 | ENG-004 | `events.py` + `analyze.py` | 契约 `elements_only` |

tests/fixtures/analyze_contract_keys.json

@@ -1,4 +1,5 @@
-[
+{
+  "required": [
     "bi_list",
     "bi_zs_list",
     "bsp_list",
@@ -14,4 +15,17 @@
     "uncompleted_seg_list",
     "uncompleted_zs_list",
     "zs_list"
+  ],
+  "optional_when": {
+    "include_structure_zones": ["structure_zones"],
+    "include_wyckoff": ["wyckoff"]
+  },
+  "wyckoff_keys": [
+    "trading_range",
+    "bias",
+    "phases",
+    "events",
+    "volume_profile",
+    "volume_confirm"
   ]
+}

tests/generate_golden.py

@@ -128,9 +128,10 @@ def serialize_pipeline(tf) -> dict:
     }
 
 
-def analyze_contract_keys() -> list:
+def analyze_contract_keys() -> dict:
     """文档化 /api/analyze 主周期关键字段（契约冒烟用）。"""
-    return sorted(
+    return {
+        "required": sorted(
             [
                 "timezone",
                 "kline_data",
@@ -148,7 +149,20 @@ def analyze_contract_keys() -> list:
                 "chan_macd",
                 "klc_trend",
             ]
-    )
+        ),
+        "optional_when": {
+            "include_structure_zones": ["structure_zones"],
+            "include_wyckoff": ["wyckoff"],
+        },
+        "wyckoff_keys": [
+            "trading_range",
+            "bias",
+            "phases",
+            "events",
+            "volume_profile",
+            "volume_confirm",
+        ],
+    }
 
 
 def run_pipeline(df: pd.DataFrame):

tests/test_golden_pipeline.py

@@ -37,10 +37,15 @@ def test_compat_shim_still_works():
 
 
 def test_analyze_contract_keys_file():
-    keys = json.loads(
+    doc = json.loads(
         (ROOT / "tests" / "fixtures" / "analyze_contract_keys.json").read_text(
             encoding="utf-8"
         )
     )
+    keys = doc["required"] if isinstance(doc, dict) and "required" in doc else doc
     for k in ("kline_data", "bi_list", "seg_list", "zs_list", "bsp_list"):
         assert k in keys
+    if isinstance(doc, dict):
+        assert "include_wyckoff" in doc.get("optional_when", {})
+        for k in ("trading_range", "phases", "events", "volume_profile"):
+            assert k in doc.get("wyckoff_keys", [])

tests/test_tf_df_init.py

@@ -0,0 +1,23 @@
+"""ECR-002：TF_DF 全量 __init__ 冒烟（CODE_REVIEW ECR-001 Finding 5）。"""
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(ROOT))
+
+from tests.generate_golden import make_ohlcv  # noqa: E402
+
+
+def test_tf_df_full_init_smoke():
+    from chanlun import TF_DF
+
+    df = make_ohlcv(400)
+    # interval=1：不重采样，走完整 init_TF_DF 流水线
+    tf = TF_DF(df, interval=1, timeframe="5m")
+    assert tf is not None
+    assert len(getattr(tf, "klu_list", []) or []) > 0
+    assert hasattr(tf, "bi_list")
+    assert hasattr(tf, "seg_list")
+    assert getattr(tf, "chanmacd", None) is not None

tests/test_wyckoff.py

@@ -0,0 +1,128 @@
+"""威科夫引擎单测：合成震荡箱 + Spring/SOS + VP POC（ECR-004 收紧）。"""
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+import numpy as np
+import pandas as pd
+
+ROOT = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(ROOT))
+
+from chanlun.analysis.wyckoff import analyze_wyckoff  # noqa: E402
+from chanlun.analysis.wyckoff.range import detect_trading_range  # noqa: E402
+
+
+def _box_df(n_box: int = 60, spring: bool = True, sos: bool = True) -> pd.DataFrame:
+	"""构造明显箱体：40~60，前 20 根下跌趋势，可选假破与上破。"""
+	rng = np.random.default_rng(7)
+	rows = []
+	t0 = pd.Timestamp("2024-06-01", tz="UTC")
+	price = 50.0
+	# 进入箱体前下跌
+	for i in range(20):
+		price -= 0.3 + rng.random() * 0.1
+		o, c = price + 0.2, price
+		h, l = max(o, c) + 0.15, min(o, c) - 0.15
+		rows.append((t0 + pd.Timedelta(minutes=5 * i), o, h, l, c, 100 + rng.random() * 20))
+	# 箱体 40-60
+	lo, hi = 40.0, 60.0
+	for i in range(n_box):
+		c = lo + (hi - lo) * (0.3 + 0.4 * rng.random())
+		o = c + rng.normal(0, 0.5)
+		h = min(hi + 0.5, max(o, c) + abs(rng.normal(0.5, 0.2)))
+		l = max(lo - 0.5, min(o, c) - abs(rng.normal(0.5, 0.2)))
+		if i % 7 == 0:
+			h = hi - 0.1
+		if i % 7 == 3:
+			l = lo + 0.1
+		rows.append(
+			(
+				t0 + pd.Timedelta(minutes=5 * (20 + i)),
+				o,
+				h,
+				l,
+				c,
+				80 + rng.random() * 40,
+			)
+		)
+	base = 20 + n_box
+	if spring:
+		rows.append(
+			(
+				t0 + pd.Timedelta(minutes=5 * base),
+				42.0,
+				43.0,
+				37.0,
+				41.5,
+				90.0,
+			)
+		)
+		base += 1
+	if sos:
+		rows.append(
+			(
+				t0 + pd.Timedelta(minutes=5 * base),
+				58.0,
+				66.0,
+				57.0,
+				64.0,
+				220.0,
+			)
+		)
+		base += 1
+		rows.append(
+			(
+				t0 + pd.Timedelta(minutes=5 * base),
+				62.0,
+				63.0,
+				59.5,
+				61.0,
+				70.0,
+			)
+		)
+
+	return pd.DataFrame(rows, columns=["date", "open", "high", "low", "close", "volume"])
+
+
+def test_wyckoff_detects_range_and_events():
+	df = _box_df()
+	out = analyze_wyckoff(df, lookback=200)
+	assert out["trading_range"] is not None
+	tr = out["trading_range"]
+	assert 38.0 <= tr["low"] <= 42.0
+	assert 58.0 <= tr["high"] <= 62.0
+	# 起点不应落入前 20 根下跌段（允许少量 overlap）
+	box_start = df["date"].iloc[20]
+	assert tr["start_time"] is not None
+	start_ts = pd.Timestamp(tr["start_time"])
+	assert start_ts >= box_start - pd.Timedelta(minutes=5 * 8)
+	types = {e["type"] for e in out["events"]}
+	assert "Spring" in types
+	assert "SOS" in types
+	assert out["bias"] in ("accumulation", "distribution", "unknown")
+	assert len(out["phases"]) >= 3
+	keys = [(p["start_time"], p["end_time"]) for p in out["phases"]]
+	assert len(keys) == len(set(keys)), "phases must not share identical start/end"
+
+def test_range_scoring_skips_pretrend():
+	df = _box_df(spring=False, sos=False)
+	tr = detect_trading_range(df, lookback=200)
+	assert tr is not None
+	assert tr["abs_start_idx"] >= 12  # 不应从 bar 0 吞掉整段下跌
+
+
+def test_volume_profile_poc_on_heavy_bin():
+	dates = pd.date_range("2024-01-01", periods=40, freq="5min", tz="UTC")
+	rows = []
+	for i, d in enumerate(dates):
+		c = 50.0 + (i % 5) * 0.1
+		vol = 1000.0 if 49.8 <= c <= 50.2 else 10.0
+		rows.append((d, c, c + 0.2, c - 0.2, c, vol))
+	df = pd.DataFrame(rows, columns=["date", "open", "high", "low", "close", "volume"])
+	out = analyze_wyckoff(df, lookback=80, vp_bins=20)
+	vp = out["volume_profile"]
+	assert vp["poc"] is not None
+	assert vp["vah"] is not None and vp["val"] is not None
+	assert abs(vp["poc"] - 50.0) < 1.0

web/api/analyze.py

@@ -656,5 +656,33 @@ def analyze():
 	else:
 		result['structure_zones'] = []
 
+	# 威科夫分析 —— 按需：include_wyckoff=1，且须有主周期分析（非 elements_only）
+	include_wyckoff_param = request.args.get('include_wyckoff', '')
+	include_wyckoff = str(include_wyckoff_param).lower() in ('1', 'true', 'yes')
+	if include_wyckoff and not elements_only:
+		try:
+			from chanlun.analysis.wyckoff import analyze_wyckoff
+			wyckoff_lookback = int(request.args.get('wyckoff_lookback', 120))
+			# ECR-004：默认/上限 24 bins（A+C）
+			wyckoff_bins = int(request.args.get('wyckoff_vp_bins', 24))
+			result['wyckoff'] = analyze_wyckoff(
+				df,
+				lookback=max(40, min(wyckoff_lookback, 500)),
+				vp_bins=max(10, min(wyckoff_bins, 24)),
+			)
+		except Exception as e:
+			print(f"Wyckoff 分析出错: {e}")
+			import traceback
+			traceback.print_exc()
+			result['wyckoff'] = {
+				'trading_range': None,
+				'bias': 'unknown',
+				'phases': [],
+				'events': [],
+				'volume_profile': {'bins': [], 'poc': None, 'vah': None, 'val': None, 'bin_count': 0},
+				'volume_confirm': {'avg_volume': 0.0, 'event_checks': {}},
+				'error': str(e),
+			}
+
 	return jsonify(result)
 

web/api/pages.py

@@ -1,5 +1,6 @@
 """页面路由。"""
 from flask import Blueprint, render_template, send_from_directory
+from config import DATA_SERVICE_URL, DATA_SERVICE_WS_URL
 from services.runtime import *  # noqa: F403
 from services import runtime as R
 
@@ -8,7 +9,11 @@ bp = Blueprint("pages", __name__)
 @bp.route('/chan_tv')
 def chan_tv():
 	"""缠论 TradingView 高级图表页面"""
-	return render_template('chan_tv.html')
+	return render_template(
+		'chan_tv.html',
+		data_service_url=DATA_SERVICE_URL,
+		data_service_ws_url=DATA_SERVICE_WS_URL,
+	)
 
 @bp.route('/charting_library/<path:filename>')
 def serve_charting_library(filename):

web/config.py

@@ -7,6 +7,11 @@ DATA_SERVICE_URL = os.environ.get(
     "DATA_SERVICE_URL",
     os.environ.get("DATASVC_URL", "https://provider.jackyu66.com"),
 )
+# WebSocket 与 REST 可能不同域名（nginx 反代）
+DATA_SERVICE_WS_URL = os.environ.get(
+    "DATA_SERVICE_WS_URL",
+    "wss://jackyu66.com/ws",
+)
 ASHARE_DP_URL = os.environ.get("ASHARE_DP_URL", "http://103.179.242.166:8000")
 
 # HTTP 代理：未设置则不走代理；可设 HTTP_PROXY/HTTPS_PROXY 或 CHAN_HTTP_PROXY

web/services/runtime/__init__.py

@@ -0,0 +1,95 @@
+"""runtime 门面：保持 `from services.runtime import *` 与 `import services.runtime as R` 兼容。"""
+from __future__ import annotations
+
+# ---- 历史兼容：旧 monolith 上 `from pytz import timezone` 等会随 import * 漏出 ----
+import json  # noqa: F401
+import logging
+import sys as _sys
+import time  # noqa: F401
+from collections import OrderedDict  # noqa: F401
+from concurrent.futures import ThreadPoolExecutor, as_completed  # noqa: F401
+
+import numpy as np  # noqa: F401
+from pytz import timezone  # noqa: F401
+
+from chanlun.analysis.ChanZone import (  # noqa: F401
+	StructureZoneConfig,
+	analyze_structure_zones_from_serialized,
+)
+
+logger = logging.getLogger("services.runtime")
+
+from .state import (  # noqa: F401
+	TRADE_POINT_TYPE,
+	macd_fast_period,
+	macd_slow_period,
+	macd_signal_period,
+	exchange,
+	china_stock,
+	_zone_cache,
+	DEFAULT_TIMEFRAME_LABELS,
+	DEFAULT_SYMBOLS,
+	TIMEFRAMES,
+	SYMBOLS,
+	DATA_SERVICE_AVAILABLE,
+	SERVICE_METADATA_LAST_REFRESH,
+)
+from .timeframes import (  # noqa: F401
+	_zone_cache_ttl,
+	timeframe_to_minutes,
+	format_timeframe_label,
+	build_timeframe_labels,
+	compute_timeframe_defaults,
+	is_smaller_timeframe,
+	is_smaller_or_equal_timeframe,
+)
+from .market_data import (  # noqa: F401
+	_parse_time_input,
+	refresh_data_service_metadata,
+	_fetch_kl_from_datasvc,
+	A_STOCK_SYMBOLS,
+	detect_symbol_type,
+	get_kl_data,
+	_get_crypto_kl_data_via_ccxt,
+	get_crypto_kl_data,
+	get_a_stock_kl_data,
+	load_crypto_symbols,
+)
+from .indicators import (  # noqa: F401
+	add_indicators,
+	calculate_macd,
+)
+from .analyze import (  # noqa: F401
+	analyze_chan,
+	classify_trend_stage,
+)
+from .serialize import (  # noqa: F401
+	convert_direction,
+	format_time_safely,
+	serialize_chan_macd_data,
+	clean_dataframe_for_json,
+	get_uncompleted_seg_list,
+)
+
+# 预取元信息（与拆分前模块加载行为一致）
+refresh_data_service_metadata(force=True)
+
+# 标量在 import 时会拷贝；刷新后写回本模块，供 `from services.runtime import *` 读到最新值
+from . import state as _state
+
+_mod = _sys.modules[__name__]
+_mod.DATA_SERVICE_AVAILABLE = _state.DATA_SERVICE_AVAILABLE
+_mod.SERVICE_METADATA_LAST_REFRESH = _state.SERVICE_METADATA_LAST_REFRESH
+_mod.macd_fast_period = _state.macd_fast_period
+_mod.macd_slow_period = _state.macd_slow_period
+_mod.macd_signal_period = _state.macd_signal_period
+
+
+def __getattr__(name: str):
+	if hasattr(_state, name):
+		return getattr(_state, name)
+	raise AttributeError(name)
+
+
+def __dir__():
+	return sorted(set(globals()) | set(dir(_state)))

web/services/runtime/analyze.py

@@ -0,0 +1,274 @@
+from __future__ import annotations
+
+import numpy as np
+import talib.abstract as ta
+
+from chanlun import TF_DF
+from chanlun.core.ChanEnum import Chan_KLC_FX, Chan_FX_TYPE
+from chanlun.indicators.ChanMACD import ChanMACD
+
+from .indicators import calculate_macd
+
+def analyze_chan(df, symbol=None, timeframe=None):
+	"""进行缠论分析"""
+	chan = TF_DF()
+	
+	# 初始化多时间周期数据以获取EMA52
+	ema52_dict = None
+	# 获取分析结果
+	klu_list = chan.get_kl_data(df)
+	klc_list = chan.get_klc_list(klu_list)
+	bi_list = chan.cal_bi_list(klc_list)
+	#for index in range(0, 10):
+		#print(bi_list[index].start_time, bi_list[index].start_klc.end_time, bi_list[index].dir)
+	seg_list = chan.get_seg_list(bi_list)
+	zs_list = chan.calculate_seg_zs(seg_list)
+	# 计算笔中枢（BI中枢）并拍平成列表
+
+	#bi_zs_list = chan.cal_bi_zs_list_pure(bi_list)
+	bi_zs_list = chan.cal_bi_zs(seg_list)
+	bsp_list = []
+	if len(bi_zs_list) > 0:
+		bsp_list = chan.find_all_bsp(bi_list, bi_zs_list)
+	#bsp_state_list = chan.get_bsp_state(df)
+	#for bsp in bsp_list:
+		#print(bsp.end_time, bsp.type, bsp.dir)
+	# 添加买卖点识别
+	for bi in bi_list:
+		bi.cal_macdhist()
+	for bi in bi_list:
+		bi.cal_macd_div()
+		#print(bi.start_time, bi.macd_hist, bi.macd_div)
+	
+	# 添加ChanMACD分析（复用 get_klc_list 内已算好的结果，避免同周期二次全量分析）
+	chan_macd = None
+	chan_macd_data = {}
+	try:
+		
+		if klu_list and len(klu_list) > 0:
+			print(f"获取到KLU列表，长度: {len(klu_list)}")
+			chan_macd = getattr(chan, '_last_chan_macd', None)
+			if chan_macd is None:
+				chan_macd = ChanMACD(klu_list)
+			chan_macd_data = {
+				'seg_list': chan_macd.seg_list,
+				'unittf_list': chan_macd.unittf_list,
+				'histset_list': chan_macd.histset_list,
+				'klu_list': chan_macd.klu_list,
+				'high_position_list': chan_macd.high_position_list,
+				'high_empty_list': chan_macd.high_empty_list,
+				'low_position_list': getattr(chan_macd, 'low_position_list', []),
+				'low_empty_list': getattr(chan_macd, 'low_empty_list', []),
+				'return_zero_list': chan_macd.return_zero_list,
+				'cross0_up_list': chan_macd.cross0_up_list,
+				'cross0_down_list': chan_macd.cross0_down_list
+			}
+			print(f"ChanMACD分析完成: seg={len(chan_macd.seg_list)}, unittf={len(chan_macd.unittf_list)}, histset={len(chan_macd.histset_list)}")
+		else:
+			print("未能获取KLU列表或列表为空")
+			chan_macd_data = {
+				'seg_list': [],
+				'unittf_list': [],
+				'histset_list': [],
+				'high_position_list': [],
+				'high_empty_list': [],
+				'return_zero_list': [],
+				'cross0_up_list': [],
+				'cross0_down_list': []
+			}
+	except Exception as e:
+		print(f"ChanMACD分析出错: {e}")
+		import traceback
+		traceback.print_exc()
+		chan_macd_data = {
+			'seg_list': [],
+			'unittf_list': [],
+			'histset_list': [],
+			'high_position_list': [],
+			'high_empty_list': [],
+			'low_position_list': [],
+			'low_empty_list': [],
+			'return_zero_list': [],
+			'cross0_up_list': [],
+			'cross0_down_list': []
+		}
+	
+	# 提取K线分型信息
+	klc_fx_info = []
+	for klc in klc_list:
+		if hasattr(klc, 'klc_fx_type') and klc.klc_fx_type != Chan_KLC_FX.UNKNOWN:
+			try:
+				# 计算分型强度
+				fx_strength = 0
+				fx_strength_level = ""
+				is_strong_fx = False
+				
+				# 统一使用cal_fx_strength函数
+				if hasattr(klc, 'cal_fx_strength'):
+					fx_strength = klc.cal_fx_strength(5)
+				
+				# 尝试获取分型强度等级
+				if hasattr(klc, 'get_fx_strength_level'):
+					fx_strength_level = klc.get_fx_strength_level()
+				
+				# 尝试判断是否为强分型
+				if hasattr(klc, 'is_strong_fx'):
+					is_strong_fx = klc.is_strong_fx()
+				
+				# 如果分型强度小于1，设为0
+				if fx_strength < 1:
+					fx_strength = 0
+
+				# KLC 分型框（起止时间+高低价）：
+				# 仅使用 cal_fx_box 通过 display 条件后生成的 klc.fx_box。
+				# 若无 fx_box，则前端不应绘制分型框。
+				fx_box = getattr(klc, 'fx_box', None)
+				box_start_time = getattr(fx_box, 'start_time', None) if fx_box else None
+				box_end_time = getattr(fx_box, 'end_time', None) if fx_box else None
+				box_high = getattr(fx_box, 'high', None) if fx_box else None
+				box_low = getattr(fx_box, 'low', None) if fx_box else None
+
+				if klc.bb_out:
+					klc_fx_info.append({
+						'time': klc.end_time,
+						'price': klc.low if klc.fx == Chan_FX_TYPE.BOTTOM else klc.high,
+						'fx_type': str(klc.klc_fx_type).replace("Chan_KLC_FX.", ""),
+						'is_bottom': klc.fx == Chan_FX_TYPE.BOTTOM,
+						'fx_strength': fx_strength,           # 分型强度分数 (0-100)
+						'fx_strength_level': fx_strength_level,  # 分型强度等级 (极强/强/中等/弱/极弱)
+						'is_strong_fx': is_strong_fx,        # 是否为强分型
+
+						# 虚线分型框信息（给前端画框用）
+						'start_time': box_start_time,
+						'end_time': box_end_time,
+						'high': float(box_high) if box_high is not None else None,
+						'low': float(box_low) if box_low is not None else None,
+					})
+			except Exception as e:
+				# 如果出错，仍然添加基本信息，但分型强度为0
+				fx_box = getattr(klc, 'fx_box', None)
+				box_start_time = getattr(fx_box, 'start_time', None) if fx_box else None
+				box_end_time = getattr(fx_box, 'end_time', None) if fx_box else None
+				box_high = getattr(fx_box, 'high', None) if fx_box else None
+				box_low = getattr(fx_box, 'low', None) if fx_box else None
+
+				klc_fx_info.append({
+					'time': klc.end_time,
+					'price': klc.low if klc.fx == Chan_FX_TYPE.BOTTOM else klc.high,
+					'fx_type': str(klc.klc_fx_type).replace("Chan_KLC_FX.", ""),
+					'is_bottom': klc.fx == Chan_FX_TYPE.BOTTOM,
+					'fx_strength': 0,
+					'fx_strength_level': "",
+					'is_strong_fx': False,
+
+					# 虚线分型框信息（给前端画框用）
+					'start_time': box_start_time,
+					'end_time': box_end_time,
+					'high': float(box_high) if box_high is not None else None,
+					'low': float(box_low) if box_low is not None else None,
+				})
+	
+	
+	return {
+		'klc_list': klc_list,
+		'klu_list': klu_list,  # 添加KLU列表
+		'bi_list': bi_list,
+		'seg_list': seg_list,
+		'zs_list': zs_list,
+		'bi_zs_list': bi_zs_list,  # 添加BI中枢列表
+		'bsp_list': bsp_list,  # 添加买卖点列表
+		'klc_fx_info': klc_fx_info,  # KLC分型信息
+		'chan_macd': chan_macd_data,   # 添加ChanMACD分析数据
+		'ema52_dict': ema52_dict  # 添加多时间周期EMA52数据
+	}
+
+def classify_trend_stage(df):
+	"""根据 EMA 斜率与多空排列判断趋势方向与阶段
+	返回: direction in {"bull","bear","sideways"}, stage in {"early","mid","late"}, strength_score (0-100)
+	"""
+	if df is None or len(df) < 60:
+		return "sideways", "early", 0
+
+	# 使用 EMA5/10/24/52
+	closes = df['close'].values
+	ema5 = df['ema5'].values if 'ema5' in df else ta.EMA(df, timeperiod=5)
+	ema10 = df['ema10'].values if 'ema10' in df else ta.EMA(df, timeperiod=10)
+	ema24 = df['ema24'].values if 'ema24' in df else ta.EMA(df, timeperiod=24)
+	ema52 = df['ema52'].values if 'ema52' in df else ta.EMA(df, timeperiod=52)
+
+	# 最近N根用于斜率与排列判定
+	lookback = min(30, len(df) - 1)
+	if lookback <= 5:
+		return "sideways", "early", 0
+
+	# 简单斜率: 最近k根的线性变化率近似
+	def slope(arr, k=10):
+		k = min(k, len(arr) - 1)
+		if k < 2:
+			return 0.0
+		y = arr[-k:]
+		x = np.arange(k)
+		# 最小二乘拟合斜率
+		denom = np.dot(x - x.mean(), x - x.mean())
+		if denom == 0:
+			return 0.0
+		m = np.dot(y - y.mean(), x - x.mean()) / denom
+		return float(m)
+
+	k_slope = 12  # 斜率窗口
+	s5 = slope(ema5, k_slope)
+	s10 = slope(ema10, k_slope)
+	s24 = slope(ema24, k_slope)
+	s52 = slope(ema52, k_slope)
+
+	# 多空排列
+	last5, last10, last24, last52 = ema5[-1], ema10[-1], ema24[-1], ema52[-1]
+	bull_stack = last5 > last10 > last24 > last52
+	bear_stack = last5 < last10 < last24 < last52
+
+	# 波动性与动量增强: MACD 柱体最近均值
+	macdhist = df['macdhist'].values if 'macdhist' in df else calculate_macd(df)['histogram']
+	hist_recent = macdhist[-lookback:]
+	hist_power = float(np.mean(np.abs(hist_recent))) if len(hist_recent) else 0.0
+
+	# 方向
+	if bull_stack and s24 > 0 and s52 > 0:
+		direction = "bull"
+	elif bear_stack and s24 < 0 and s52 < 0:
+		direction = "bear"
+	else:
+		# 用价格相对 EMA52 辅助
+		if closes[-1] > last52 and (s24 + s52) > 0:
+			direction = "bull"
+		elif closes[-1] < last52 and (s24 + s52) < 0:
+			direction = "bear"
+		else:
+			direction = "sideways"
+
+	# 阶段: 依据（斜率大小、与EMA52距离、MACD柱体扩张/收敛）
+	dist52 = float((closes[-1] - last52) / last52) if last52 else 0.0
+	slope_score = max(0.0, (abs(s24) + abs(s52)) * 1000.0)  # 归一化
+	dist_score = min(50.0, abs(dist52) * 200.0)
+	hist_score = min(30.0, hist_power * 10.0)
+	strength = float(min(100.0, slope_score + dist_score + hist_score))
+
+	# 简单阶段判定
+	if direction == "sideways":
+		stage = "early"
+		strength = min(strength, 30.0)
+	else:
+		# 查看最近 hist 是否在扩大或收敛
+		if len(hist_recent) >= 6:
+			recent_growth = np.mean(np.abs(hist_recent[-3:])) - np.mean(np.abs(hist_recent[-6:-3]))
+		else:
+			recent_growth = 0.0
+
+		if recent_growth > 0 and abs(dist52) < 0.05:
+			stage = "early"
+		elif recent_growth > 0 and abs(dist52) >= 0.05:
+			stage = "mid"
+		else:
+			stage = "late"
+
+	return direction, stage, strength
+

web/services/runtime/indicators.py

@@ -0,0 +1,103 @@
+from __future__ import annotations
+
+import talib.abstract as ta
+from . import state
+
+def add_indicators(df):
+	macd = ta.MACD(df, fastperiod=state.macd_fast_period, slowperiod=state.macd_slow_period, signalperiod=state.macd_signal_period)
+
+	df['macd'] = macd['macd']
+	df['macdsignal'] = macd['macdsignal']
+	df['macdhist'] = macd['macdhist']
+	df['ma5'] = (ta.MA(df, timeperiod=5)).fillna(0)
+	df['ma10'] = (ta.MA(df, timeperiod=10)).fillna(0)
+	df['ma30'] = (ta.EMA(df, timeperiod=30)).fillna(0)
+	df['ma250'] = (ta.MA(df, timeperiod=250)).fillna(0)
+	# 新增 EMA 指标
+	df['ema5'] = (ta.EMA(df, timeperiod=5)).fillna(0)
+	df['ema10'] = (ta.EMA(df, timeperiod=10)).fillna(0)
+	df['ema24'] = (ta.EMA(df, timeperiod=24)).fillna(0)
+	df['ema52'] = (ta.EMA(df, timeperiod=52)).fillna(0)
+	df['ema26'] = (ta.EMA(df, timeperiod=26)).fillna(0)
+	df['ema13'] = (ta.EMA(df, timeperiod=13)).fillna(0)
+	df['ema7'] = (ta.EMA(df, timeperiod=7)).fillna(0)
+	df['ema104'] = (ta.EMA(df, timeperiod=104)).fillna(0)
+	df['ema156'] = (ta.EMA(df, timeperiod=156)).fillna(0)
+	df['ema208'] = (ta.EMA(df, timeperiod=208)).fillna(0)
+	# 常用SMA 24/52
+	try:
+		df['sma24'] = (ta.SMA(df, timeperiod=24)).fillna(0)
+		df['sma52'] = (ta.SMA(df, timeperiod=52)).fillna(0)
+	except Exception:
+		df['sma24'] = 0
+		df['sma52'] = 0
+	df['rsi'] = ta.RSI(df, timeperiod=14)
+	
+	# 计算布林带 (当前周期 - 20周期，2标准差)
+	bb = ta.BBANDS(df, timeperiod=365, nbdevup=3.0, nbdevdn=3.0, matype=0)
+	df['bb_upper'] = bb['upperband'].fillna(0)
+	df['bb_middle'] = bb['middleband'].fillna(0)
+	df['bb_lower'] = bb['lowerband'].fillna(0)
+	bb30 = ta.BBANDS(df, timeperiod=41, nbdevup=2.3, nbdevdn=2.3, matype=0)
+	#bb30 = ta.BBANDS(df, timeperiod=20, nbdevup=2.0, nbdevdn=2.0, matype=0)
+	df['bbup30'] = bb30['upperband'].fillna(0)
+	df['bblow30'] = bb30['lowerband'].fillna(0)
+	bb302 = ta.BBANDS(df, timeperiod=41, nbdevup=2.0, nbdevdn=2.0, matype=0)
+	#bb302 = ta.BBANDS(df, timeperiod=20, nbdevup=2.0, nbdevdn=2.0, matype=0)
+	df['bbup302'] = bb302['upperband'].fillna(0)
+	df['bblow302'] = bb302['lowerband'].fillna(0)
+	# 计算次周期布林带 (14周期，2标准差)
+	bb_element = ta.BBANDS(df, timeperiod=14, nbdevup=2.0, nbdevdn=2.0, matype=0)
+	df['element_bb_upper'] = bb_element['upperband'].fillna(0)
+	df['element_bb_middle'] = bb_element['middleband'].fillna(0)
+	df['element_bb_lower'] = bb_element['lowerband'].fillna(0)
+	
+	df['macd'] = df['macd'].fillna(0)
+	df['macdsignal'] = df['macdsignal'].fillna(0)
+	df['macdhist'] = df['macdhist'].fillna(0)
+	df['ma5'] = df['ma5'].fillna(0)
+	df['ma10'] = df['ma10'].fillna(0)
+	df['ma30'] = df['ma30'].fillna(0)
+	df['ma250'] = df['ma250'].fillna(0)
+	df['ema5'] = df['ema5'].fillna(0)
+	df['ema10'] = df['ema10'].fillna(0)
+	df['ema24'] = df['ema24'].fillna(0)
+	df['ema52'] = df['ema52'].fillna(0)
+	df['sma24'] = df['sma24'].fillna(0)
+	df['sma52'] = df['sma52'].fillna(0)
+	df['rsi'] = df['rsi'].fillna(0)
+	df['avg_volume'] = df['volume'].rolling(10).mean()
+	# 计算量比，避免产生Infinity值
+	df['volume_ratio'] = df['volume'] / df['avg_volume']
+	# 填充缺失值（前N根K线）
+	df['volume_ratio'] = df['volume_ratio'].fillna(1.0)
+	df['avg_volume'] = df['avg_volume'].fillna(0)
+	
+	# 处理Infinity和-Infinity值
+	df['volume_ratio'] = df['volume_ratio'].replace([float('inf'), float('-inf')], 1.0)
+	
+	# 计算ATR (Average True Range) - 14周期
+	df['atr'] = ta.ATR(df, timeperiod=14)
+	df['atr'] = df['atr'].fillna(0)
+	bb2633 = ta.BBANDS(df, timeperiod=26, nbdevup=3.0, nbdevdn=3.0, matype=0)
+	bbp2633 = (df['close'] - bb2633['lowerband']) / (bb2633['upperband'] - bb2633['lowerband'])
+	df['bb2633upper'] = bb2633['upperband'].fillna(0)
+	df['bb2633lower'] = bb2633['lowerband'].fillna(0)
+	df['bbp2633'] = bbp2633.fillna(0)
+	df['bb2633middle'] = bb2633['middleband'].fillna(0)
+	return df
+
+def calculate_macd(df):
+	"""计算MACD指标"""
+	exp1 = df['close'].ewm(span=state.macd_fast_period, adjust=False).mean()
+	exp2 = df['close'].ewm(span=state.macd_slow_period, adjust=False).mean()
+	macd = exp1 - exp2
+	signal = macd.ewm(span=state.macd_signal_period, adjust=False).mean()
+	histogram = macd - signal
+	
+	return {
+		'macd': macd.tolist(),
+		'signal': signal.tolist(),
+		'histogram': histogram.tolist()
+	}
+

web/services/runtime/market_data.py

@@ -0,0 +1,321 @@
+from __future__ import annotations
+
+import logging
+import time
+from datetime import datetime, timedelta
+
+import pandas as pd
+import requests
+
+from config import DATA_SERVICE_URL
+from . import state
+from .state import DEFAULT_SYMBOLS, DEFAULT_TIMEFRAME_LABELS
+from .timeframes import build_timeframe_labels
+
+logger = logging.getLogger(__name__)
+
+def _parse_time_input(value):
+	if value in (None, '', 0):
+		return None
+	try:
+		return int(float(value))
+	except (ValueError, TypeError):
+		return None
+
+
+def refresh_data_service_metadata(force=False):
+	"""刷新数据服务提供的交易对与周期元信息。"""
+	now = time.time()
+	if not force and state.DATA_SERVICE_AVAILABLE and now - state.SERVICE_METADATA_LAST_REFRESH < 60:
+		return True
+	try:
+		resp = requests.get(f"{DATA_SERVICE_URL}/health", timeout=5)
+		resp.raise_for_status()
+		payload = resp.json()
+		service_symbols = payload.get("symbols") or payload.get("symbol_list") or []
+		base_timeframes = payload.get("timeframes") or payload.get("base_timeframes") or []
+		derived = payload.get("derived_timeframes") or []
+		service_timeframes = list(base_timeframes)
+		for tf in derived:
+			if tf not in service_timeframes:
+				service_timeframes.append(tf)
+		if service_symbols:
+			state.SYMBOLS[:] = service_symbols
+		if service_timeframes:
+			state.TIMEFRAMES.clear()
+			state.TIMEFRAMES.update(build_timeframe_labels(service_timeframes))
+		state.DATA_SERVICE_AVAILABLE = True
+		state.SERVICE_METADATA_LAST_REFRESH = now
+		return True
+	except Exception as exc:
+		logger.warning("无法加载数据服务元信息: %s", exc)
+		if not state.DATA_SERVICE_AVAILABLE:
+			state.TIMEFRAMES.clear()
+			state.TIMEFRAMES.update(DEFAULT_TIMEFRAME_LABELS)
+			state.SYMBOLS[:] = DEFAULT_SYMBOLS
+		state.DATA_SERVICE_AVAILABLE = False
+		return False
+
+
+def _fetch_kl_from_datasvc(symbol, timeframe, start_ms=None, end_ms=None, limit=None):
+	params = {"symbol": symbol, "tf": timeframe}
+	if start_ms is not None:
+		params["start"] = int(start_ms)
+	if end_ms is not None:
+		params["end"] = int(end_ms)
+	if limit is not None:
+		params["limit"] = limit
+	resp = requests.get(f"{DATA_SERVICE_URL}/api/candles", params=params, timeout=10)
+	resp.raise_for_status()
+	data = resp.json()
+	if not data:
+		return None
+	df = pd.DataFrame(data)
+	if df.empty or "timestamp" not in df.columns:
+		return None
+	numeric_cols = ["open", "high", "low", "close", "volume"]
+	df["timestamp"] = pd.to_numeric(df["timestamp"], errors="coerce")
+	df = df.dropna(subset=["timestamp"])
+	df["timestamp"] = df["timestamp"].astype("int64")
+	for col in numeric_cols:
+		if col in df.columns:
+			df[col] = pd.to_numeric(df[col], errors="coerce")
+	df = df.dropna(subset=numeric_cols)
+	df = df.sort_values("timestamp")
+	if limit and len(df) > limit:
+		df = df.tail(limit)
+	df = df.reset_index(drop=True)
+	df["date"] = pd.to_datetime(df["timestamp"], unit='ms', utc=True).dt.tz_convert('Asia/Shanghai')
+	return df
+
+
+# 模块加载时尝试预取一次元信息，但失败不阻塞后续流程
+refresh_data_service_metadata(force=True)
+
+# A股热门股票
+# 模板中 A 股下拉仅放默认一项；用户切换到「A股」时由前端请求 /api/a_stocks 填充全市场（约 5500+）
+A_STOCK_SYMBOLS = [{'symbol': '000001', 'name': '平安银行'}]
+
+def detect_symbol_type(symbol):
+	"""检测交易对类型：crypto 或 a_stock"""
+	if '/' in symbol and 'USDT' in symbol:
+		return 'crypto'
+	elif len(symbol) == 6 and symbol.isdigit():
+		return 'a_stock'
+	else:
+		return 'unknown'
+
+def get_kl_data(symbol, timeframe, limit=100000, start_time=None, end_time=None):
+	"""获取K线数据，支持加密货币和A股"""
+	symbol_type = detect_symbol_type(symbol)
+	
+	if symbol_type == 'crypto':
+		return get_crypto_kl_data(symbol, timeframe, limit, start_time, end_time)
+	elif symbol_type == 'a_stock':
+		return get_a_stock_kl_data(symbol, timeframe, limit, start_time, end_time)
+	else:
+		return None
+
+def _get_crypto_kl_data_via_ccxt(symbol, timeframe, limit=100000, start_time=None, end_time=None):
+	"""获取加密货币K线数据，支持分页加载确保获取指定时间范围内的所有数据"""
+	try:
+		# 初始化参数
+		since = None
+		if start_time:
+			try:
+				since = int(start_time)
+			except ValueError:
+				pass
+		
+		# 结束时间处理
+		until = None
+		if end_time:
+			try:
+				until = int(end_time)
+			except ValueError:
+				pass
+		
+		# 根据时间周期调整每次请求的数据量
+		batch_size = 1000  # 默认批次大小
+		if timeframe in ['1m', '3m', '5m']:
+			batch_size = 1000  # 分钟级数据减少批次大小
+		elif timeframe in ['15m', '30m', '1h']:
+			batch_size = 1000
+		else:
+			batch_size = 1500  # 日线及以上可以获取更多
+		batch_size = 1500  # 默认批次大小
+		# 初始化存储所有K线数据的列表
+		all_ohlcv = []
+		
+		# 初始化当前查询的开始时间
+		current_since = since
+		
+		# 添加请求计数和最大限制
+		request_count = 0
+		max_requests = 300  # 最大请求次数，防止无限循环
+		
+		# 分页加载数据
+		while request_count < max_requests:
+			request_count += 1
+			
+			try:
+				# 获取当前页的数据
+				ohlcv = state.exchange.fetch_ohlcv(symbol, timeframe, since=current_since, limit=batch_size)
+				
+				# 如果没有获取到数据，结束循环
+				if not ohlcv or len(ohlcv) == 0:
+					break
+					
+				# 将获取到的数据添加到总列表中
+				all_ohlcv.extend(ohlcv)
+				
+				# 获取最后一条数据的时间戳
+				last_timestamp = ohlcv[-1][0]
+				
+				# 如果已达到结束时间，结束循环
+				if until and last_timestamp >= until:
+					break
+					
+				# 如果获取的数据条数小于限制数，说明已经获取完所有数据
+				if len(ohlcv) < batch_size:
+					break
+					
+				# 更新下一页的开始时间（加1毫秒避免重复）
+				current_since = last_timestamp + 1
+				
+			except Exception as e:
+				# 如果单个批次失败，继续尝试下一个批次
+				if current_since:
+					# 尝试增加时间跳过可能的问题时间点
+					current_since += 60000  # 跳过1分钟
+				else:
+					break
+			
+			# 防止API请求过于频繁
+			time.sleep(0.3)  # 减少到0.3秒提高效率
+		
+		# 数据为空的情况
+		if not all_ohlcv or len(all_ohlcv) == 0:
+			return None
+		
+		# 转换为DataFrame
+		df = pd.DataFrame(all_ohlcv, columns=['timestamp', 'open', 'high', 'low', 'close', 'volume'])
+		df['date'] = pd.to_datetime(df['timestamp'], unit='ms').dt.tz_localize('UTC').dt.tz_convert('Asia/Shanghai')
+		
+		# 在客户端进行结束时间过滤
+		if until:
+			df = df[df['timestamp'] <= until]
+			
+		# 去除重复数据
+		df = df.drop_duplicates(subset=['timestamp'])
+		
+		# 按时间排序
+		df = df.sort_values('timestamp')
+		
+		# 限制数据条数的逻辑 - 优先考虑时间范围
+		if start_time and end_time:
+			# 如果指定了明确的时间范围，返回该时间范围内的所有数据
+			if len(df) > 100000:  # 防止数据量过大，设置一个合理的上限
+				df = df.tail(100000).reset_index(drop=True)
+		elif limit and len(df) > limit:
+			# 如果没有指定明确时间范围，使用默认的limit限制
+			df = df.tail(limit).reset_index(drop=True)
+		
+		# 如果过滤后没有数据，返回None
+		if len(df) == 0:
+			return None
+		return df
+		
+	except Exception as e:
+		return None
+
+
+def get_crypto_kl_data(symbol, timeframe, limit=100000, start_time=None, end_time=None):
+	"""优先通过本地数据服务获取加密货币K线，失败时回退至交易所API。"""
+	start_ms = _parse_time_input(start_time)
+	end_ms = _parse_time_input(end_time)
+
+	refresh_data_service_metadata()
+	if state.DATA_SERVICE_AVAILABLE:
+		try:
+			df = _fetch_kl_from_datasvc(
+				symbol=symbol,
+				timeframe=timeframe,
+				start_ms=start_ms,
+				end_ms=end_ms,
+				limit=limit,
+			)
+			if df is not None and not df.empty:
+				return df
+		except Exception as exc:
+			logger.warning("数据服务请求失败，准备回退至交易所 API：%s", exc)
+
+	return _get_crypto_kl_data_via_ccxt(symbol, timeframe, limit, start_time, end_time)
+
+
+def get_a_stock_kl_data(symbol, timeframe, limit=100000, start_time=None, end_time=None):
+	"""获取A股K线数据"""
+	try:
+		# 处理时间戳参数转换为日期字符串
+		start_date = None
+		end_date = None
+		
+		if start_time:
+			try:
+				# 尝试解析时间戳（毫秒）
+				start_timestamp = int(start_time)
+				start_date = datetime.fromtimestamp(start_timestamp / 1000).strftime('%Y-%m-%d')
+			except (ValueError, TypeError):
+				# 如果不是时间戳，尝试解析datetime-local格式 (YYYY-MM-DDTHH:MM)
+				try:
+					if 'T' in str(start_time):
+						# datetime-local格式：2025-05-19T06:07
+						start_date = str(start_time).split('T')[0]  # 只取日期部分
+					else:
+						start_date = str(start_time)
+				except:
+					start_date = start_time
+		
+		if end_time:
+			try:
+				# 尝试解析时间戳（毫秒）
+				end_timestamp = int(end_time)
+				end_date = datetime.fromtimestamp(end_timestamp / 1000).strftime('%Y-%m-%d')
+			except (ValueError, TypeError):
+				# 如果不是时间戳，尝试解析datetime-local格式
+				try:
+					if 'T' in str(end_time):
+						# datetime-local格式：2025-05-26T06:07
+						end_date = str(end_time).split('T')[0]  # 只取日期部分
+					else:
+						end_date = str(end_time)
+				except:
+					end_date = end_time
+		
+		# 如果用户指定了时间范围，优先获取该范围内的所有数据
+		actual_limit = limit
+		if start_date and end_date:
+			actual_limit = None  # 不限制数据条数，获取完整时间范围数据
+		
+		# 调用A股数据获取器
+		df = state.china_stock.get_kl_data(symbol, timeframe, start_date, end_date, actual_limit)
+		
+		if df is None:
+			return None
+		return df
+		
+	except Exception as e:
+		return None
+
+def load_crypto_symbols(limit=200):
+	"""加载常见USDT永续合约交易对，返回列表"""
+	refresh_data_service_metadata()
+	if state.SYMBOLS:
+		return state.SYMBOLS[:limit]
+	try:
+		markets = state.exchange.load_markets()
+		symbols = [s for s in markets.keys() if '/USDT' in s and ':USDT' in s]
+		return symbols[:limit]
+	except Exception:
+		return DEFAULT_SYMBOLS[:limit]
+

web/services/runtime/serialize.py

@@ -0,0 +1,300 @@
+from __future__ import annotations
+
+import pandas as pd
+
+from chanlun.core.ChanEnum import Chan_BI_DIR, Chan_SEG_DIR, Chan_MACDSEG_DIR, Chan_MACDHISTSET_DIR
+
+# 辅助函数，转换缠论方向枚举为整数
+def convert_direction(direction):
+	"""转换方向枚举为数字"""
+	if direction == Chan_BI_DIR.UP or direction == Chan_SEG_DIR.UP:
+		return 1
+	elif direction == Chan_BI_DIR.DOWN or direction == Chan_SEG_DIR.DOWN:
+		return -1
+	else:
+		return 0
+
+def format_time_safely(time_obj, client_tz):
+	"""安全地格式化时间对象，处理字符串和datetime两种情况"""
+	if time_obj is None:
+		return None
+		
+	if isinstance(time_obj, str):
+		# 尝试将字符串解析为datetime
+		try:
+			from dateutil import parser
+			time_obj = parser.parse(time_obj)
+			return time_obj.astimezone(client_tz).isoformat()
+		except:
+			return time_obj
+	else:
+		# 已经是datetime对象
+		return time_obj.astimezone(client_tz).isoformat()
+
+def serialize_chan_macd_data(chan_macd_data, client_tz):
+	"""序列化ChanMACD数据为JSON可序列化格式"""
+	serialized_data = {
+		'seg_list': [],
+		'unittf_list': [],
+		'histset_list': [],
+		# 状态标记数据
+		'high_position_list': [],
+		'high_empty_list': [],
+		'low_position_list': [],
+		'low_empty_list': [],
+		'return_zero_list': [],
+		'cross0_up_list': [],
+		'cross0_down_list': [],
+		# 新增：输出KLU的继续背驰/分离背驰标志
+		'klu_list': []
+	}
+	
+	# 序列化seg_list
+	for seg in chan_macd_data.get('seg_list', []):
+		try:
+			seg_data = {
+				'start_time': format_time_safely(seg.start_time, client_tz),
+				'end_time': format_time_safely(seg.end_time, client_tz) if seg.end_time else None,
+				'seg_dir': 'ABOVE' if seg.seg_dir == Chan_MACDSEG_DIR.ABOVE else 'UNDER',
+				'klu_count': len(seg.klu_list) if hasattr(seg, 'klu_list') else 0,
+				'unittf_count': len(seg.unittf_list) if hasattr(seg, 'unittf_list') else 0,
+				'histset_count': len(seg.hist_set) if hasattr(seg, 'hist_set') else 0
+			}
+			serialized_data['seg_list'].append(seg_data)
+		except Exception as e:
+			print(f"序列化seg出错: {e}")
+			continue
+	
+	# 序列化unittf_list（兼容新结构与枚举类型）
+	for unittf in chan_macd_data.get('unittf_list', []):
+		try:
+			dir_value = getattr(unittf, 'uinttf_dir', None)
+			dir_name = getattr(dir_value, 'name', dir_value if isinstance(dir_value, str) else None)
+			start_t = getattr(unittf, 'start_type', None)
+			start_type = getattr(start_t, 'name', start_t)
+			end_t = getattr(unittf, 'end_type', None)
+			end_type = getattr(end_t, 'name', end_t)
+			peak_abs = getattr(unittf, 'peak_abs', None)
+			if peak_abs is None:
+				peak_abs = getattr(unittf, 'peak_hist', None)
+			length = getattr(unittf, 'length', None)
+			if length is None:
+				length = len(unittf.klu_list) if hasattr(unittf, 'klu_list') else None
+
+			unittf_data = {
+				'start_time': format_time_safely(getattr(unittf, 'start_time', None), client_tz),
+				'end_time': format_time_safely(getattr(unittf, 'end_time', None), client_tz) if getattr(unittf, 'end_time', None) else None,
+				'dir': dir_name,  # 'ABOVE' | 'UNDER' | None
+				'start_type': start_type,  # e.g. 'START' | 'CROSS0' | 'NEAR0_UP' | 'NEAR0_DOWN'
+				'end_type': end_type,
+				'invalid': getattr(unittf, 'invalid', False),
+				'peak_abs': peak_abs,
+				'length': length,
+				'klu_count': len(unittf.klu_list) if hasattr(unittf, 'klu_list') else 0,
+				'histset_count': len(unittf.histset_list) if hasattr(unittf, 'histset_list') else 0
+			}
+			serialized_data['unittf_list'].append(unittf_data)
+		except Exception as e:
+			print(f"序列化unittf出错: {e}")
+			continue
+	
+	# 序列化histset_list
+	for histset in chan_macd_data.get('histset_list', []):
+		try:
+			histset_data = {
+				'start_time': format_time_safely(getattr(histset, 'start_time', None), client_tz),
+				'end_time': format_time_safely(getattr(histset, 'end_time', None), client_tz),
+				'histset_dir': 'ABOVE' if histset.histset_dir == Chan_MACDHISTSET_DIR.ABOVE else 'UNDER',
+				'klu_count': len(histset.klu_list) if hasattr(histset, 'klu_list') else 0
+			}
+			serialized_data['histset_list'].append(histset_data)
+		except Exception as e:
+			print(f"序列化histset出错: {e}")
+			continue
+	
+	# 序列化状态标记数据
+	# 序列化高位列表
+	for high_pos in chan_macd_data.get('high_position_list', []):
+		try:
+			high_pos_data = {
+				'time': format_time_safely(high_pos['time'], client_tz),
+				'end_time': format_time_safely(high_pos.get('end_time'), client_tz) if high_pos.get('end_time') else None,
+				'type': high_pos.get('type', 'start'),
+				'macd': high_pos.get('macd'),
+				'signal': high_pos.get('signal'),
+				'macdhist': high_pos.get('macdhist'),
+				'end_macd': high_pos.get('end_macd'),
+				'end_signal': high_pos.get('end_signal'),
+				'end_macdhist': high_pos.get('end_macdhist')
+			}
+			serialized_data['high_position_list'].append(high_pos_data)
+		except Exception as e:
+			print(f"序列化high_position出错: {e}")
+			continue
+	
+	# 序列化高位空列表
+	for high_empty in chan_macd_data.get('high_empty_list', []):
+		try:
+			high_empty_data = {
+				'time': format_time_safely(high_empty['time'], client_tz),
+				'end_time': format_time_safely(high_empty.get('end_time'), client_tz) if high_empty.get('end_time') else None,
+				'type': high_empty.get('type', 'start'),
+				'macd': high_empty.get('macd'),
+				'signal': high_empty.get('signal'),
+				'macdhist': high_empty.get('macdhist'),
+				'end_macd': high_empty.get('end_macd'),
+				'end_signal': high_empty.get('end_signal'),
+				'end_macdhist': high_empty.get('end_macdhist')
+			}
+			serialized_data['high_empty_list'].append(high_empty_data)
+		except Exception as e:
+			print(f"序列化high_empty出错: {e}")
+			continue
+	
+	# 序列化低位与低位空
+	for low_pos in chan_macd_data.get('low_position_list', []):
+		try:
+			low_pos_data = {
+				'time': format_time_safely(low_pos['time'], client_tz),
+				'end_time': format_time_safely(low_pos.get('end_time'), client_tz) if low_pos.get('end_time') else None,
+				'type': low_pos.get('type', 'start'),
+				'macd': low_pos.get('macd'),
+				'signal': low_pos.get('signal'),
+				'macdhist': low_pos.get('macdhist'),
+				'end_macd': low_pos.get('end_macd'),
+				'end_signal': low_pos.get('end_signal'),
+				'end_macdhist': low_pos.get('end_macdhist')
+			}
+			serialized_data['low_position_list'].append(low_pos_data)
+		except Exception as e:
+			print(f"序列化low_position出错: {e}")
+			continue
+
+	for low_empty in chan_macd_data.get('low_empty_list', []):
+		try:
+			low_empty_data = {
+				'time': format_time_safely(low_empty['time'], client_tz),
+				'end_time': format_time_safely(low_empty.get('end_time'), client_tz) if low_empty.get('end_time') else None,
+				'type': low_empty.get('type', 'start'),
+				'macd': low_empty.get('macd'),
+				'signal': low_empty.get('signal'),
+				'macdhist': low_empty.get('macdhist'),
+				'end_macd': low_empty.get('end_macd'),
+				'end_signal': low_empty.get('end_signal'),
+				'end_macdhist': low_empty.get('end_macdhist')
+			}
+			serialized_data['low_empty_list'].append(low_empty_data)
+		except Exception as e:
+			print(f"序列化low_empty出错: {e}")
+			continue
+
+	# 序列化归零轴列表
+	for return_zero in chan_macd_data.get('return_zero_list', []):
+		try:
+			return_zero_data = {
+				'time': format_time_safely(return_zero['time'], client_tz),
+				'end_time': format_time_safely(return_zero.get('end_time'), client_tz) if return_zero.get('end_time') else None,
+				'type': return_zero.get('type', 'start'),
+				'macd': return_zero.get('macd'),
+				'signal': return_zero.get('signal'),
+				'macdhist': return_zero.get('macdhist'),
+				'end_macd': return_zero.get('end_macd'),
+				'end_signal': return_zero.get('end_signal'),
+				'end_macdhist': return_zero.get('end_macdhist')
+			}
+			serialized_data['return_zero_list'].append(return_zero_data)
+		except Exception as e:
+			print(f"序列化return_zero出错: {e}")
+			continue
+	
+	# 序列化穿越零轴列表
+	for cross0_up in chan_macd_data.get('cross0_up_list', []):
+		try:
+			cross0_up_data = {
+				'time': format_time_safely(cross0_up['time'], client_tz),
+				'type': cross0_up.get('type', 'start'),
+				'macd': cross0_up.get('macd'),
+				'signal': cross0_up.get('signal'),
+				'macdhist': cross0_up.get('macdhist')
+			}
+			serialized_data['cross0_up_list'].append(cross0_up_data)
+		except Exception as e:
+			print(f"序列化cross0_up出错: {e}")
+			continue
+	
+	for cross0_down in chan_macd_data.get('cross0_down_list', []):
+		try:
+			cross0_down_data = {
+				'time': format_time_safely(cross0_down['time'], client_tz),
+				'type': cross0_down.get('type', 'start'),
+				'macd': cross0_down.get('macd'),
+				'signal': cross0_down.get('signal'),
+				'macdhist': cross0_down.get('macdhist')
+			}
+			serialized_data['cross0_down_list'].append(cross0_down_data)
+		except Exception as e:
+			print(f"序列化cross0_down出错: {e}")
+			continue
+
+	# 序列化 KLU 列表（仅导出需要的时间与背驰标志）
+	for klu in chan_macd_data.get('klu_list', []):
+		try:
+			serialized_data['klu_list'].append({
+				'time': format_time_safely(getattr(klu, 'time', None), client_tz),
+				'continue_div': bool(getattr(klu, 'continue_div', False)),
+				'separate_div': int(getattr(klu, 'separate_div', 0)) if getattr(klu, 'separate_div', 0) is not None else 0,
+				'near0_return': int(getattr(klu, 'near0_return', 0)) if getattr(klu, 'near0_return', 0) is not None else 0
+			})
+		except Exception as e:
+			print(f"序列化klu出错: {e}")
+			continue
+	
+	return serialized_data
+
+def clean_dataframe_for_json(df):
+	"""清理DataFrame数据用于JSON序列化"""
+	# 创建副本避免修改原始数据
+	clean_df = df.copy()
+	
+	# 替换NaN值为None
+	clean_df = clean_df.where(pd.notnull(clean_df), None)
+	
+	return clean_df
+
+def get_uncompleted_seg_list(seg_list, client_tz):
+	"""获取未完成线段列表，正确处理倒数第二个和最后一个未完成线段"""
+	uncompleted_segs = [seg for seg in seg_list if not seg.is_sure]
+	
+	if len(uncompleted_segs) == 0:
+		return []
+	
+	result = []
+	
+	for i, seg in enumerate(uncompleted_segs):
+		is_last = (i == len(uncompleted_segs) - 1)  # 是否为最后一个未完成线段
+		
+		seg_data = {
+			'start_time': seg.start_bi.start_klc.end_time if isinstance(seg.start_bi.start_klc.end_time, str) else seg.start_bi.start_klc.end_time.astimezone(client_tz).isoformat(),
+			'sure_time': format_time_safely(seg.sure_time, client_tz) if seg.sure_time else None,
+			'start_price': seg.start_bi.start_klc.low if convert_direction(seg.dir) == 1 else seg.start_bi.start_klc.high,
+			'direction': convert_direction(seg.dir)
+		}
+		
+		if is_last:
+			# 最后一个未完成线段：没有结束时间和价格
+			seg_data['end_time'] = None
+			seg_data['end_price'] = None
+		else:
+			# 倒数第二个及之前的未完成线段：使用实际的结束时间和价格
+			if seg.end_bi and seg.end_bi.end_klc:
+				seg_data['end_time'] = seg.end_bi.end_klc.end_time if isinstance(seg.end_bi.end_klc.end_time, str) else seg.end_bi.end_klc.end_time.astimezone(client_tz).isoformat()
+				seg_data['end_price'] = seg.end_bi.end_klc.high if convert_direction(seg.dir) == 1 else seg.end_bi.end_klc.low
+			else:
+				# 如果没有结束笔，设为None
+				seg_data['end_time'] = None
+				seg_data['end_price'] = None
+		
+		result.append(seg_data)
+	
+	return result
+

web/services/runtime/state.py

@@ -0,0 +1,70 @@
+from __future__ import annotations
+
+import sys
+import os
+from collections import OrderedDict
+import logging
+
+import ccxt
+
+_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+if _ROOT not in sys.path:
+	sys.path.append(_ROOT)
+
+from config import MACD_FAST, MACD_SLOW, MACD_SIGNAL, ccxt_proxies
+from services.cn_stock import ChinaStockData
+
+logger = logging.getLogger(__name__)
+
+class TRADE_POINT_TYPE:
+	BUY1 = 1   # 一类买点
+	BUY2 = 2   # 二类买点
+	BUY3 = 3   # 三类买点
+	SELL1 = -1  # 一类卖点
+	SELL2 = -2  # 二类卖点
+	SELL3 = -3  # 三类卖点
+
+
+
+# mutable runtime state
+macd_fast_period = MACD_FAST
+macd_slow_period = MACD_SLOW
+macd_signal_period = MACD_SIGNAL
+
+_proxies = ccxt_proxies()
+_exchange_kwargs = {"enableRateLimit": True}
+if _proxies:
+    _exchange_kwargs["proxies"] = _proxies
+exchange = ccxt.binance(_exchange_kwargs)
+
+china_stock = ChinaStockData()
+_zone_cache = {}
+
+DEFAULT_TIMEFRAME_LABELS = OrderedDict([
+    ("1m", "1分钟"),
+    ("3m", "3分钟"),
+    ("5m", "5分钟"),
+    ("15m", "15分钟"),
+    ("30m", "30分钟"),
+    ("1h", "1小时"),
+    ("2h", "2小时"),
+    ("4h", "4小时"),
+    ("6h", "6小时"),
+    ("8h", "8小时"),
+    ("12h", "12小时"),
+    ("1d", "日线"),
+    ("3d", "3日线"),
+    ("1w", "周线"),
+    ("1M", "月线"),
+])
+
+DEFAULT_SYMBOLS = [
+    'SOL/USDT:USDT', 'BTC/USDT:USDT', 'ETH/USDT:USDT', 'BNB/USDT:USDT', 'XRP/USDT:USDT', 'WIF/USDT:USDT',
+    'ADA/USDT:USDT', 'DOGE/USDT:USDT', 'AVAX/USDT:USDT', 'DOT/USDT:USDT', 'MATIC/USDT:USDT'
+]
+
+TIMEFRAMES = DEFAULT_TIMEFRAME_LABELS.copy()
+SYMBOLS = DEFAULT_SYMBOLS.copy()
+DATA_SERVICE_AVAILABLE = False
+SERVICE_METADATA_LAST_REFRESH = 0
+

web/services/runtime/timeframes.py

@@ -0,0 +1,121 @@
+from __future__ import annotations
+
+from collections import OrderedDict
+from .state import DEFAULT_TIMEFRAME_LABELS
+
+def _zone_cache_ttl(tf_name: str) -> int:
+	"""根据时间周期返回缓存过期时间（秒）"""
+	minutes = timeframe_to_minutes(tf_name) or 5
+	if minutes <= 5:
+		return 120      # 5m及以下: 2分钟
+	elif minutes <= 15:
+		return 300      # 15m: 5分钟
+	elif minutes <= 60:
+		return 600      # 1h: 10分钟
+	else:
+		return 1800     # 4h+: 30分钟
+
+
+def timeframe_to_minutes(tf: str):
+	"""将时间周期转换为分钟数，用于排序。"""
+	if not tf:
+		return None
+	unit = tf[-1]
+	try:
+		value = int(tf[:-1])
+	except (ValueError, TypeError):
+		return None
+	multiplier = {
+		'm': 1,
+		'h': 60,
+		'd': 1440,
+		'w': 10080,
+		'M': 43200,  # 30天近似
+	}.get(unit)
+	if multiplier is None:
+		return None
+	return value * multiplier
+
+
+def format_timeframe_label(tf: str) -> str:
+	"""将时间周期转换为可读标签。"""
+	if not tf:
+		return tf
+	unit = tf[-1]
+	try:
+		value = int(tf[:-1])
+	except (ValueError, TypeError):
+		return tf
+	if unit == 'm':
+		return f"{value}分钟"
+	if unit == 'h':
+		return f"{value}小时"
+	if unit == 'd':
+		return "日线" if value == 1 else f"{value}日线"
+	if unit == 'w':
+		return "周线" if value == 1 else f"{value}周线"
+	if unit == 'M':
+		return "月线" if value == 1 else f"{value}月线"
+	return tf
+
+
+def build_timeframe_labels(timeframes):
+	ordered = sorted(
+		timeframes,
+		key=lambda tf: timeframe_to_minutes(tf) if timeframe_to_minutes(tf) is not None else float('inf'),
+	)
+	labels = OrderedDict()
+	for tf in ordered:
+		labels[tf] = format_timeframe_label(tf)
+	return labels
+
+
+def compute_timeframe_defaults(labels_ordered):
+	"""
+	根据已排序的「周期 → 中文标签」映射，计算主 / 次 / 次次周期默认值。
+	labels_ordered: OrderedDict 或按插入顺序排列的 dict。
+	"""
+	if not labels_ordered:
+		labels_ordered = DEFAULT_TIMEFRAME_LABELS.copy()
+	timeframe_keys = list(labels_ordered.keys())
+	preferred_main = next((tf for tf in ['5m', '15m', '1h'] if tf in labels_ordered), None)
+	default_main = preferred_main or (timeframe_keys[0] if timeframe_keys else '1m')
+	if default_main not in labels_ordered and timeframe_keys:
+		default_main = timeframe_keys[0]
+
+	if timeframe_keys:
+		try:
+			idx = timeframe_keys.index(default_main)
+			default_element = timeframe_keys[idx - 1] if idx > 0 else timeframe_keys[0]
+		except ValueError:
+			default_element = timeframe_keys[0]
+	else:
+		default_element = default_main
+
+	if timeframe_keys:
+		try:
+			idx_el = timeframe_keys.index(default_element)
+			default_sub_sub = timeframe_keys[idx_el - 1] if idx_el > 0 else timeframe_keys[0]
+		except ValueError:
+			default_sub_sub = timeframe_keys[0]
+	else:
+		default_sub_sub = default_element
+
+	return default_main, default_element, default_sub_sub, timeframe_keys
+
+def is_smaller_timeframe(tf1, tf2):
+	"""判断时间周期tf1是否小于tf2"""
+	tf1_value = timeframe_to_minutes(tf1)
+	tf2_value = timeframe_to_minutes(tf2)
+	if tf1_value is None or tf2_value is None:
+		return False
+	return tf1_value < tf2_value
+
+def is_smaller_or_equal_timeframe(tf1, tf2):
+	"""判断时间周期tf1是否小于等于tf2"""
+	tf1_value = timeframe_to_minutes(tf1)
+	tf2_value = timeframe_to_minutes(tf2)
+	if tf1_value is None or tf2_value is None:
+		return False
+	return tf1_value <= tf2_value
+

web/static/js/app/chan_engine.js

@@ -981,19 +981,41 @@ function findBiCenters(biList) {
       var lows = biList_for_zs.map(function(bi) { return Math.min(bi.p0, bi.p1) })
       gg = Math.max.apply(null, highs)
       dd = Math.min.apply(null, lows)
-      endBiIdx = startIdx + addedAfterLeave.length
+      endBiIdx = startIdx + 2 + addedAfterLeave.length
+    }
+
+    var lastBiInCenter = biList_for_zs[biList_for_zs.length - 1]
+    // 是否已离开中枢：之后出现完全在 ZG 之上或 ZD 之下的确认笔 → 中枢完成
+    var zsSure = false
+    var lastInListIdx = -1
+    for (var li = 0; li < biList.length; li++) {
+      if (biList[li] === lastBiInCenter || (biList[li].t0 === lastBiInCenter.t0 && biList[li].t1 === lastBiInCenter.t1)) {
+        lastInListIdx = li
+        break
+      }
+    }
+    if (lastInListIdx < 0) lastInListIdx = endBiIdx
+    for (var j = lastInListIdx + 1; j < biList.length; j++) {
+      var leaveBi = biList[j]
+      if (!leaveBi.sure) break
+      var lbh = Math.max(leaveBi.p0, leaveBi.p1)
+      var lbl = Math.min(leaveBi.p0, leaveBi.p1)
+      if (lbl > zg || lbh < zd) {
+        zsSure = true
+        break
+      }
     }
 
     var zs = {
       t0: bi1.t0,
-      t1: biList_for_zs[biList_for_zs.length - 1].t1,
+      t1: lastBiInCenter.t1,
       high: zg, low: zd,
       zg: zg, zd: zd,
       gg: gg, dd: dd,
-      is_sure: biList_for_zs[biList_for_zs.length - 1].sure,
+      is_sure: zsSure,
       bi_count: biList_for_zs.length,
-      bi_list: biList_for_zs,          // 中枢内的笔列表（按序）
+      bi_list: biList_for_zs,
-      start_bi_idx: startIdx,          // 中枢首笔在总列表中的索引
+      start_bi_idx: startIdx,
       dir: zsDir,
       pre: lastZs,
       next: null,
@@ -1008,28 +1030,6 @@ function findBiCenters(biList) {
     startIdx = startIdx + 4 + (addedAfterLeave.length > 0 ? addedAfterLeave.length : 0)
   }
 
-  // 末中枢确认
-  if (lastZs && !lastZs.is_sure) {
-    var lastBiInZs = lastZs.bi_count > 0 ? biList_for_zs[biList_for_zs.length - 1] : null
-    if (lastBiInZs) {
-      var hasLeave = false
-      var lastBiIdx = biList.indexOf(lastBiInZs)
-      if (lastBiIdx >= 0) {
-        for (var i = lastBiIdx + 1; i < biList.length; i++) {
-          var bi = biList[i]
-          if (bi.sure) {
-            var bh = Math.max(bi.p0, bi.p1), bl = Math.min(bi.p0, bi.p1)
-            var leave = (bl > lastZs.zg && bh > lastZs.zg) || (bh < lastZs.zd && bl < lastZs.zd)
-            if (leave) { hasLeave = true; break }
-          }
-        }
-      }
-      if (hasLeave && lastBiInZs.sure) {
-        lastZs.t1 = lastBiInZs.t1
-      }
-    }
-  }
-
   return zsList
 }
 
@@ -1119,16 +1119,37 @@ function findSegCenters(segs) {
       endSegIdx = startIdx + 2 + addedSegs.length
     }
 
+    var lastSegInCenter = segList_for_zs[segList_for_zs.length - 1]
+    var zsSure = false
+    var lastSegListIdx = -1
+    for (var lsi = 0; lsi < segs.length; lsi++) {
+      if (segs[lsi] === lastSegInCenter || (segs[lsi].t0 === lastSegInCenter.t0 && segs[lsi].t1 === lastSegInCenter.t1)) {
+        lastSegListIdx = lsi
+        break
+      }
+    }
+    if (lastSegListIdx < 0) lastSegListIdx = endSegIdx
+    for (var sj = lastSegListIdx + 1; sj < segs.length; sj++) {
+      var leaveSeg = segs[sj]
+      if (!leaveSeg.sure) break
+      var lsh = Math.max(leaveSeg.p0, leaveSeg.p1)
+      var lsl = Math.min(leaveSeg.p0, leaveSeg.p1)
+      if (lsl > zg || lsh < zd) {
+        zsSure = true
+        break
+      }
+    }
+
     var zs = {
       t0: s1.t0,
-      t1: segs[endSegIdx].t1,
+      t1: lastSegInCenter.t1,
       high: zg, low: zd,
       zg: zg, zd: zd,
       gg: gg, dd: dd,
-      is_sure: segs[endSegIdx].sure,
+      is_sure: zsSure,
       seg_count: segList_for_zs.length,
-      seg_list: segList_for_zs,          // 中枢内的段列表（按序）
+      seg_list: segList_for_zs,
-      start_seg_idx: startIdx,           // 中枢首段在总列表中的索引
+      start_seg_idx: startIdx,
       dir: zsDir,
       pre: lastZs,
       next: null,

web/static/js/app/chan_indicator.js

@@ -121,6 +121,7 @@
     }
 
     // 中枢填充：区间内每根 bar 写入 top/bottom
+    // 未完成中枢：右边界拉到最新 K（与主站 uncompleted_zs 一致）
     function fillZs(t0, t1, high, low, topField, botField) {
       var lo = lowerBound(sortedBarTimes, t0)
       var hi = upperBound(sortedBarTimes, t1)
@@ -131,14 +132,30 @@
       }
     }
 
+    var lastBarT = sortedBarTimes.length ? sortedBarTimes[sortedBarTimes.length - 1] : null
+
     if (slice.zs) {
       slice.zs.forEach(function (z) {
-        fillZs(z.t0, z.t1, z.high || z.zg, z.low || z.zd, 'zs_top', 'zs_bottom')
+        var t1 = z.t1
+        var sure = z.is_sure !== false && z.is_sure !== 0
+        if (!sure && lastBarT != null) t1 = Math.max(t1 || 0, lastBarT)
+        if (sure) {
+          fillZs(z.t0, t1, z.high || z.zg, z.low || z.zd, 'zs_top', 'zs_bottom')
+        } else {
+          fillZs(z.t0, t1, z.high || z.zg, z.low || z.zd, 'zs_pending_top', 'zs_pending_bottom')
+        }
       })
     }
     if (slice.segzs) {
       slice.segzs.forEach(function (z) {
-        fillZs(z.t0, z.t1, z.high || z.zg, z.low || z.zd, 'segzs_top', 'segzs_bottom')
+        var t1 = z.t1
+        var sure = z.is_sure !== false && z.is_sure !== 0
+        if (!sure && lastBarT != null) t1 = Math.max(t1 || 0, lastBarT)
+        if (sure) {
+          fillZs(z.t0, t1, z.high || z.zg, z.low || z.zd, 'segzs_top', 'segzs_bottom')
+        } else {
+          fillZs(z.t0, t1, z.high || z.zg, z.low || z.zd, 'segzs_pending_top', 'segzs_pending_bottom')
+        }
       })
     }
 
@@ -233,6 +250,10 @@
       { id: 'zs_bottom', type: 'line' },
       { id: 'segzs_top', type: 'line' },
       { id: 'segzs_bottom', type: 'line' },
+      { id: 'zs_pending_top', type: 'line' },
+      { id: 'zs_pending_bottom', type: 'line' },
+      { id: 'segzs_pending_top', type: 'line' },
+      { id: 'segzs_pending_bottom', type: 'line' },
     ]
 
     BSP_SUBTYPES.forEach(function (t) {
@@ -279,6 +300,22 @@
         linestyle: 0, linewidth: 0, plottype: 0, trackPrice: false,
         transparency: 100, visible: false, color: '#ef6c00', display: 0,
       }),
+      zs_pending_top: mergeStyle('zs_pending_top', {
+        linestyle: 0, linewidth: 0, plottype: 0, trackPrice: false,
+        transparency: 100, visible: false, color: '#f1c40f', display: 0,
+      }),
+      zs_pending_bottom: mergeStyle('zs_pending_bottom', {
+        linestyle: 0, linewidth: 0, plottype: 0, trackPrice: false,
+        transparency: 100, visible: false, color: '#f1c40f', display: 0,
+      }),
+      segzs_pending_top: mergeStyle('segzs_pending_top', {
+        linestyle: 0, linewidth: 0, plottype: 0, trackPrice: false,
+        transparency: 100, visible: false, color: '#9b59b6', display: 0,
+      }),
+      segzs_pending_bottom: mergeStyle('segzs_pending_bottom', {
+        linestyle: 0, linewidth: 0, plottype: 0, trackPrice: false,
+        transparency: 100, visible: false, color: '#9b59b6', display: 0,
+      }),
     }
 
     // BSP 样式
@@ -311,6 +348,10 @@
       zs_bottom: { title: '中枢下沿', histogramBase: 0, isHidden: true },
       segzs_top: { title: '段中枢上沿', histogramBase: 0, isHidden: true },
       segzs_bottom: { title: '段中枢下沿', histogramBase: 0, isHidden: true },
+      zs_pending_top: { title: '未完成中枢上沿', histogramBase: 0, isHidden: true },
+      zs_pending_bottom: { title: '未完成中枢下沿', histogramBase: 0, isHidden: true },
+      segzs_pending_top: { title: '未完成段中枢上沿', histogramBase: 0, isHidden: true },
+      segzs_pending_bottom: { title: '未完成段中枢下沿', histogramBase: 0, isHidden: true },
     }
 
     BSP_SUBTYPES.forEach(function (t) {
@@ -358,7 +399,7 @@
       name: '缠论',
       metainfo: {
         _metainfoVersion: 53,
-        id: 'Chan@tv-basicstudies-5',
+        id: 'Chan@tv-basicstudies-6',
         scriptIdPart: '',
         description: 'Chan 缠论',
         shortDescription: '缠论',
@@ -373,12 +414,18 @@
             title: '中枢', isHidden: false },
           { id: 'segzs_fill', objAId: 'segzs_top', objBId: 'segzs_bottom', type: 'plot_plot',
             title: '段中枢', isHidden: false },
+          { id: 'zs_pending_fill', objAId: 'zs_pending_top', objBId: 'zs_pending_bottom', type: 'plot_plot',
+            title: '未完成中枢', isHidden: false },
+          { id: 'segzs_pending_fill', objAId: 'segzs_pending_top', objBId: 'segzs_pending_bottom', type: 'plot_plot',
+            title: '未完成段中枢', isHidden: false },
         ],
         defaults: {
           styles: styles,
           filledAreasStyle: {
             zs_fill: mergeFill('zs_fill', { color: '#f1d96a', visible: true, transparency: 75 }),
             segzs_fill: mergeFill('segzs_fill', { color: '#6361f7', visible: true, transparency: 75 }),
+            zs_pending_fill: mergeFill('zs_pending_fill', { color: '#f1c40f', visible: true, transparency: 55 }),
+            segzs_pending_fill: mergeFill('segzs_pending_fill', { color: '#9b59b6', visible: true, transparency: 55 }),
           },
           precision: 2,
           inputs: { epoch: 0 },
@@ -394,8 +441,8 @@
           self._context = ctx
         }
         this.main = function (context) {
-          // 32 个 plot: 8 结构 + 24 BSP
+          // 36 个 plot: 12 结构 + 24 BSP
-          var NANS = new Array(32).fill(NaN)
+          var NANS = new Array(36).fill(NaN)
           // v31: sniffing pass 时 context.symbol.time 为 NaN
           var t = context.symbol.time
           if (isNaN(t)) return NANS
@@ -415,6 +462,10 @@
             e.zs_bottom != null ? e.zs_bottom : NaN,
             e.segzs_top != null ? e.segzs_top : NaN,
             e.segzs_bottom != null ? e.segzs_bottom : NaN,
+            e.zs_pending_top != null ? e.zs_pending_top : NaN,
+            e.zs_pending_bottom != null ? e.zs_pending_bottom : NaN,
+            e.segzs_pending_top != null ? e.segzs_pending_top : NaN,
+            e.segzs_pending_bottom != null ? e.segzs_pending_bottom : NaN,
           ]
 
           BSP_SUBTYPES.forEach(function (sub) {

web/static/js/app/chart_sync.js

@@ -263,8 +263,9 @@ function updateTradingViewData() {
             }
         }
         
-        // 重新显示笔、线段和中枢等图形
+        // 不再调用 redrawFractalElements()：它会全量 initTradingView，
-        redrawFractalElements();
+        // 与增量更新叠加会导致图表反复重建、内存暴涨。
+        // 笔/段/中枢仍随「手动刷新 / 全量 refreshChart」重建；自动刷新走增量路径。
         
         // 更新EMA52显示
         updateEMA52Display(currentData);

web/static/js/app/chart_tv.js

@@ -1,33 +1,56 @@
 /* chart_tv.js — split from chart.js */
-function initTradingView(symbol, timeframe) {
+
+/** 释放 Lightweight Charts 实例、DOM 与全局事件，避免自动刷新内存泄漏 */
+function disposeTradingViewCharts() {
     try {
-// 在重新初始化前，尝试释放旧图表与系列资源，避免 GPU 内存累积
+        if (window._tvInitCleanups && Array.isArray(window._tvInitCleanups)) {
+            window._tvInitCleanups.forEach(function (fn) { try { fn(); } catch (e) {} });
+        }
+        window._tvInitCleanups = [];
+        if (window._bindSyncCleanups && Array.isArray(window._bindSyncCleanups)) {
+            window._bindSyncCleanups.forEach(function (fn) { try { fn(); } catch (e) {} });
+        }
+        window._bindSyncCleanups = [];
+        if (window._tooltipCleanups && Array.isArray(window._tooltipCleanups)) {
+            window._tooltipCleanups.forEach(function (fn) { try { fn(); } catch (e) {} });
+        }
+        window._tooltipCleanups = [];
+
+        document.querySelectorAll(
+            '.volume-crosshair-line, .atr-crosshair-line, .macd-crosshair-line, .chanmacd-crosshair-line'
+        ).forEach(function (el) { try { el.remove(); } catch (e) {} });
+
+        if (typeof clearEMA52Series === 'function') {
+            try { clearEMA52Series(); } catch (e) {}
+        }
+
+        if (tvWidget) {
+            ['mainChart', 'volumeChart', 'macdChart', 'chanMacdChart', 'atrChart'].forEach(function (key) {
                 try {
-    if (tvWidget && tvWidget.state && tvWidget.state.isInitialized) {
+                    if (tvWidget[key] && typeof tvWidget[key].remove === 'function') {
-        // 主图
+                        tvWidget[key].remove();
-        if (tvWidget.mainChart && typeof tvWidget.mainChart.remove === 'function') {
-            tvWidget.mainChart.remove();
                     }
-        // 成交量
+                } catch (e) {}
-        if (tvWidget.volumeChart && typeof tvWidget.volumeChart.remove === 'function') {
+                tvWidget[key] = null;
-            tvWidget.volumeChart.remove();
+            });
+            if (tvWidget.state) {
+                tvWidget.state.isInitialized = false;
             }
-        // 旧 MACD（若存在）
-        if (tvWidget.macdChart && typeof tvWidget.macdChart.remove === 'function') {
-            tvWidget.macdChart.remove();
-        }
-        // 新 ChanMACD（若存在）
-        if (tvWidget.chanMacdChart && typeof tvWidget.chanMacdChart.remove === 'function') {
-            tvWidget.chanMacdChart.remove();
-        }
-        // ATR
-        if (tvWidget.atrChart && typeof tvWidget.atrChart.remove === 'function') {
-            tvWidget.atrChart.remove();
         }
+
+        var chartRoot = document.getElementById('tradingview_chart');
+        if (chartRoot) {
+            chartRoot.innerHTML = '';
         }
     } catch (e) {
-    console.warn('释放旧图表资源失败（可忽略）:', e);
+        console.warn('disposeTradingViewCharts 失败（可忽略）:', e);
     }
+}
+
+function initTradingView(symbol, timeframe) {
+    try {
+        // 每次重建前完整释放，防止自动刷新导致 GPU/监听器泄漏
+        disposeTradingViewCharts();
         console.log('初始化TradingView图表:', symbol, timeframe);
         
         // 获取当前交易对的配置
@@ -98,11 +121,7 @@ try {
             candles = filterTradingHours(candles, symbolConfig);
             console.log(`A股数据过滤: ${originalLength} -> ${candles.length} 条记录`);
         }
-    // 清除图表容器（释放旧 DOM 与 Canvas）
+        // 重置图表对象（容器已在 disposeTradingViewCharts 清空）
-    const chartRoot = document.getElementById('tradingview_chart');
-    if (chartRoot) chartRoot.innerHTML = '';
-        
-        // 重置图表对象
         tvWidget = {
             mainChart: null,
             volumeChart: null,
@@ -235,8 +254,7 @@ try {
             container.appendChild(chanMacdChartContainer);
         }
         
-        // 防止同步过程中的无限循环
+        // 防止同步过程中的无限循环（实际同步由 bindSyncEvents 负责）
-        let syncInProgress = false;
         
         // 创建统一的图表选项
         const createChartOptions = (showTimeScale = true, chartType = 'main') => {
@@ -1052,243 +1070,8 @@ try {
             window.kluDivMarkersSubSub = [];
         }
 
-        // 实现三图联动滚动
+        // 图表同步事件统一由文末 bindSyncEvents 注册（带 cleanup），此处不再重复 addEventListener，
-        
+        // 否则每次自动刷新/重建都会在 document/window 上堆积监听导致内存泄漏。
-        // 同步图表的时间范围
-        function syncCharts(sourceChart, sourceContainer) {
-            // 防止无限循环 - 使用更精确的检查
-            if (syncInProgress) {
-                console.log('🔄 同步正在进行中，跳过此次同步');
-                return;
-            }
-            
-            syncInProgress = true;
-            console.log('🚀 开始同步图表，来源:', 
-                sourceChart === mainChart ? '主图' : 
-                sourceChart === volumeChart ? '成交量图' : 
-                sourceChart === atrChart ? 'ATR图' : 
-                sourceChart === macdChart ? 'MACD图' : 
-                sourceChart === chanMacdChart ? 'ChanMACD图' : '未知图表');
-            
-            try {
-                if (sourceChart && sourceChart.timeScale) {
-                    const logicalRange = sourceChart.timeScale().getVisibleLogicalRange();
-                    
-                    if (logicalRange && logicalRange.from !== undefined && logicalRange.to !== undefined) {
-                        console.log('📊 同步时间范围:', logicalRange);
-                        
-                        // 同步主图
-                        if (sourceChart !== mainChart && mainChart && mainChart.timeScale) {
-                            try {
-                                mainChart.timeScale().setVisibleLogicalRange(logicalRange);
-                                console.log('✅ 主图同步完成');
-                            } catch (e) {
-                                console.error('❌ 主图同步失败:', e);
-                            }
-                        }
-                        
-                        // 同步成交量图
-                        if (sourceChart !== volumeChart && volumeChart && volumeChart.timeScale) {
-                            try {
-                                volumeChart.timeScale().setVisibleLogicalRange(logicalRange);
-                                console.log('✅ 成交量图同步完成');
-                            } catch (e) {
-                                console.error('❌ 成交量图同步失败:', e);
-                            }
-                        }
-                        
-                        // 同步ATR图
-                        if (sourceChart !== atrChart && atrChart && atrChart.timeScale) {
-                            try {
-                                atrChart.timeScale().setVisibleLogicalRange(logicalRange);
-                                console.log('✅ ATR图同步完成');
-                            } catch (e) {
-                                console.error('❌ ATR图同步失败:', e);
-                            }
-                        }
-                        
-                        // 同步MACD图
-                        if (showMacd && macdChart && sourceChart !== macdChart && macdChart.timeScale) {
-                            try {
-                                macdChart.timeScale().setVisibleLogicalRange(logicalRange);
-                                console.log('✅ MACD图同步完成');
-                            } catch (e) {
-                                console.error('❌ MACD图同步失败:', e);
-                            }
-                        }
-                        
-                        // 同步ChanMACD图
-                        if (showMacd && chanMacdChart && sourceChart !== chanMacdChart && chanMacdChart.timeScale) {
-                            try {
-                                chanMacdChart.timeScale().setVisibleLogicalRange(logicalRange);
-                                console.log('✅ ChanMACD图同步完成');
-                            } catch (e) {
-                                console.error('❌ ChanMACD图同步失败:', e);
-                            }
-                        }
-                        
-                        // 保存当前的可见范围到全局状态
-                        if (tvWidget && tvWidget.state) {
-                            tvWidget.state.logicalRange = logicalRange;
-                        }
-                    } else {
-                        console.warn('⚠️ 无效的逻辑范围:', logicalRange);
-                    }
-                } else {
-                    console.warn('⚠️ 无效的源图表或时间刻度');
-                }
-            } catch (e) {
-                console.error('💥 同步图表出错:', e);
-            }
-            
-            // 立即重置同步标志，提高响应速度
-            setTimeout(() => { 
-                syncInProgress = false; 
-                console.log('🔓 同步标志已重置');
-            }, 1);
-        }
-        
-        // 用于跟踪所有图表的拖动状态
-        let localDragStates = {
-            main: false,
-            volume: false,
-            atr: false,
-            macd: false,
-            chanmacd: false
-        };
-        
-        // 全局鼠标抬起事件（只添加一次）
-        document.addEventListener('mouseup', () => {
-            // 重置所有拖动状态
-            Object.keys(localDragStates).forEach(key => {
-                if (localDragStates[key]) {
-                    console.log(`全局鼠标抬起，重置${key}图表拖动状态`);
-                    localDragStates[key] = false;
-                }
-            });
-        });
-        
-        // 为每个图表添加事件监听
-        const addChartSyncEvents = (chartContainer, chart) => {
-            console.log('为图表添加同步事件监听:', 
-                chart === mainChart ? '主图' : 
-                chart === volumeChart ? '成交量图' : 
-                chart === atrChart ? 'ATR图' : 
-                chart === macdChart ? 'MACD图' : 
-                chart === chanMacdChart ? 'ChanMACD图' : '未知图表');
-            
-            // 确定当前图表类型
-            const chartType = chart === mainChart ? 'main' : 
-                            chart === volumeChart ? 'volume' : 
-                            chart === atrChart ? 'atr' : 
-                            chart === macdChart ? 'macd' : 
-                            chart === chanMacdChart ? 'chanmacd' : 'unknown';
-            
-            // 使用LightweightCharts内置的时间范围变化事件（这是最可靠的方法）
-            chart.timeScale().subscribeVisibleTimeRangeChange(() => {
-                // 使用图表特定的同步标志防止递归
-                if (!syncInProgress) {
-                    console.log('✅ 检测到时间范围变化，触发同步:', chartType, '当前范围:', chart.timeScale().getVisibleLogicalRange());
-                    syncCharts(chart, chartContainer);
-                } else {
-                    console.log('⏸️ 同步进行中，跳过时间范围变化事件:', chartType);
-                }
-            });
-            
-            // 备用的DOM事件监听（用于调试和额外保障）
-            let isScrolling = false;
-            
-            // 鼠标按下事件
-            chartContainer.addEventListener('mousedown', (e) => {
-                localDragStates[chartType] = true;
-                console.log('鼠标按下开始拖动:', chartType);
-            });
-            
-            // 鼠标抬起事件
-            chartContainer.addEventListener('mouseup', (e) => {
-                if (localDragStates[chartType]) {
-                    localDragStates[chartType] = false;
-                    console.log('鼠标抬起，结束拖动:', chartType);
-                }
-            });
-            
-            // 鼠标离开事件
-            chartContainer.addEventListener('mouseleave', (e) => {
-                if (localDragStates[chartType]) {
-                    localDragStates[chartType] = false;
-                    console.log('鼠标离开容器，结束拖动:', chartType);
-                }
-            });
-            
-            // 滚轮缩放事件（保持原有逻辑）
-            chartContainer.addEventListener('wheel', (e) => {
-                if (!isScrolling) {
-                    isScrolling = true;
-                    console.log('滚轮缩放:', chartType);
-                    setTimeout(() => {
-                        if (!syncInProgress) {
-                            syncCharts(chart, chartContainer);
-                        }
-                        isScrolling = false;
-                    }, 50);
-                }
-            });
-        };
-        
-        // 添加事件监听
-        addChartSyncEvents(mainChartContainer, mainChart);
-        addChartSyncEvents(volumeChartContainer, volumeChart);
-        addChartSyncEvents(atrChartContainer, atrChart);
-        if (showMacd && macdChart) {
-            addChartSyncEvents(macdChartContainer, macdChart);
-        }
-        if (showMacd && chanMacdChart) {
-            addChartSyncEvents(chanMacdChartContainer, chanMacdChart);
-        }
-        
-        // 窗口大小变化时重绘图表
-        window.addEventListener('resize', () => {
-            // 调整主图大小
-            mainChart.applyOptions({
-                width: mainChartContainer.clientWidth,
-                height: mainChartContainer.clientHeight
-            });
-            
-            // 调整成交量图大小
-            volumeChart.applyOptions({
-                width: volumeChartContainer.clientWidth,
-                height: volumeChartContainer.clientHeight
-            });
-            
-            // 调整ATR图大小
-            atrChart.applyOptions({
-                width: atrChartContainer.clientWidth,
-                height: atrChartContainer.clientHeight
-            });
-            
-            // 调整MACD图大小
-            if (showMacd && macdChart && macdChartContainer) {
-                macdChart.applyOptions({
-                    width: macdChartContainer.clientWidth,
-                    height: macdChartContainer.clientHeight
-                });
-            }
-            
-            // 调整ChanMACD图大小
-            if (showMacd && chanMacdChart && chanMacdChartContainer) {
-                chanMacdChart.applyOptions({
-                    width: chanMacdChartContainer.clientWidth,
-                    height: chanMacdChartContainer.clientHeight
-                });
-            }
-            
-            // 重新同步 - 使用主图作为同步源
-            setTimeout(() => {
-                if (mainChart) {
-                    syncCharts(mainChart, mainChartContainer);
-                }
-            }, 200);
-        });
         // 显示笔的绘制 - 分别处理主周期、次周期和次次周期
         if ($('#showMainBi').is(':checked') || $('#showElementBi').is(':checked') || $('#showSubSubBi').is(':checked')) {
             console.log('绘制笔 - 已启用');
@@ -2416,6 +2199,175 @@ try {
                 }
             } catch (e) { console.error('结构区整体绘制出错:', e); }
         }
+        // 威科夫叠层：区间 / 阶段 / 事件 / VP
+        if ($('#showWyckoff').is(':checked') && currentData.wyckoff) {
+            try {
+                const w = currentData.wyckoff;
+                const tr = w.trading_range;
+                const parseTs = function(t) {
+                    if (t == null) return NaN;
+                    if (typeof t === 'number') return Math.floor(t > 1e12 ? t / 1000 : t);
+                    const ms = new Date(t).getTime();
+                    return isNaN(ms) ? NaN : Math.floor(ms / 1000);
+                };
+                const kd = currentData.kline_data || [];
+                const chartEnd = kd.length
+                    ? Math.floor(new Date(kd[kd.length - 1].date).getTime() / 1000)
+                    : NaN;
+
+                if ($('#showWyckoffRange').is(':checked') && tr) {
+                    const t0 = parseTs(tr.start_time);
+                    const t1 = tr.end_time ? parseTs(tr.end_time) : chartEnd;
+                    const hi = parseFloat(tr.high), lo = parseFloat(tr.low), mid = parseFloat(tr.mid);
+                    if (!isNaN(t0) && !isNaN(t1) && !isNaN(hi) && !isNaN(lo)) {
+                        const fill = 'rgba(52, 152, 219, 0.07)';
+                        const border = 'rgba(52, 152, 219, 0.75)';
+                        // ECR-004：填充线 6→3，减 series
+                        const fillLines = 3;
+                        const step = (hi - lo) / (fillLines + 1);
+                        for (let fi = 1; fi <= fillLines; fi++) {
+                            const fy = lo + step * fi;
+                            mainChart.addLineSeries({ color: fill, lineWidth: 2, lastValueVisible: false, priceLineVisible: false })
+                                .setData([{ time: t0, value: fy }, { time: t1, value: fy }]);
+                        }
+                        mainChart.addLineSeries({ color: border, lineWidth: 2, lastValueVisible: false, priceLineVisible: false })
+                            .setData([{ time: t0, value: hi }, { time: t1, value: hi }]);
+                        mainChart.addLineSeries({ color: border, lineWidth: 2, lastValueVisible: false, priceLineVisible: false })
+                            .setData([{ time: t0, value: lo }, { time: t1, value: lo }]);
+                        if (!isNaN(mid)) {
+                            mainChart.addLineSeries({ color: border, lineWidth: 1, lineStyle: 2, lastValueVisible: false, priceLineVisible: false })
+                                .setData([{ time: t0, value: mid }, { time: t1, value: mid }]);
+                        }
+                        mainChart.addLineSeries({ color: border, lineWidth: 1, lastValueVisible: false, priceLineVisible: false })
+                            .setData([{ time: t0, value: lo }, { time: t0, value: hi }]);
+                        mainChart.addLineSeries({ color: border, lineWidth: 1, lastValueVisible: false, priceLineVisible: false })
+                            .setData([{ time: t1, value: lo }, { time: t1, value: hi }]);
+                    }
+                }
+
+                if ($('#showWyckoffPhases').is(':checked') && w.phases && w.phases.length) {
+                    const phaseColors = {
+                        A: 'rgba(241, 196, 15, 0.85)',
+                        B: 'rgba(155, 89, 182, 0.85)',
+                        C: 'rgba(230, 126, 34, 0.85)',
+                        D: 'rgba(46, 204, 113, 0.85)',
+                        E: 'rgba(52, 152, 219, 0.85)'
+                    };
+                    const phaseMarkers = [];
+                    w.phases.forEach(function(ph) {
+                        const t0 = parseTs(ph.start_time);
+                        const t1 = ph.end_time ? parseTs(ph.end_time) : chartEnd;
+                        if (isNaN(t0) || isNaN(t1) || !tr) return;
+                        const hi = parseFloat(tr.high);
+                        if (isNaN(hi)) return;
+                        const col = phaseColors[ph.phase] || 'rgba(149,165,166,0.85)';
+                        // 阶段顶部分段色带（略高于区间高）
+                        const y = hi * 1.002;
+                        mainChart.addLineSeries({ color: col, lineWidth: 3, lastValueVisible: false, priceLineVisible: false })
+                            .setData([{ time: t0, value: y }, { time: t1, value: y }]);
+                        phaseMarkers.push({
+                            time: t0,
+                            position: 'aboveBar',
+                            color: col,
+                            shape: 'square',
+                            text: String(ph.phase || ph.label || ''),
+                            size: 1
+                        });
+                    });
+                    if (phaseMarkers.length) {
+                        const phSeries = mainChart.addLineSeries({ lastValueVisible: false, priceLineVisible: false });
+                        phSeries.setMarkers(phaseMarkers);
+                    }
+                }
+
+                if ($('#showWyckoffEvents').is(':checked') && w.events && w.events.length) {
+                    const eventColors = {
+                        Spring: '#27ae60',
+                        SOS: '#2ecc71',
+                        LPS: '#16a085',
+                        UTAD: '#e74c3c',
+                        SOW: '#c0392b',
+                        LPSY: '#d35400'
+                    };
+                    const checks = (w.volume_confirm && w.volume_confirm.event_checks) || {};
+                    const markers = [];
+                    w.events.forEach(function(ev) {
+                        const t = parseTs(ev.time);
+                        if (isNaN(t)) return;
+                        const typ = ev.type || '';
+                        const chk = checks[typ] || {};
+                        const volOk = (chk.volume_ok != null) ? chk.volume_ok : ev.volume_ok;
+                        const ratioVal = (chk.volume_ratio != null) ? chk.volume_ratio : ev.volume_ratio;
+                        const ok = volOk === true ? '✓' : (volOk === false ? '✗' : '');
+                        const note = ev.note || '';
+                        const ratio = (ratioVal != null) ? (' vol×' + Number(ratioVal).toFixed(2)) : '';
+                        markers.push({
+                            time: t,
+                            position: (typ === 'Spring' || typ === 'LPS' || typ === 'SOW') ? 'belowBar' : 'aboveBar',
+                            color: eventColors[typ] || '#7f8c8d',
+                            shape: 'arrowUp',
+                            text: typ + (ok ? ' ' + ok : '') + (note ? ' ' + note : '') + ratio,
+                            size: 1
+                        });
+                    });
+                    if (markers.length) {
+                        const evSeries = mainChart.addLineSeries({ lastValueVisible: false, priceLineVisible: false });
+                        evSeries.setMarkers(markers);
+                    }
+                }
+
+                if ($('#showWyckoffVP').is(':checked') && w.volume_profile && tr) {
+                    const vp = w.volume_profile;
+                    const t1 = tr.end_time ? parseTs(tr.end_time) : chartEnd;
+                    if (!isNaN(t1)) {
+                        const bins = vp.bins || [];
+                        // ECR-004 A+C：只画有量 Top-N，避免每 bin 一条 series
+                        const TOP_N = 8;
+                        const ranked = bins
+                            .filter(function(b) { return b && b.volume > 0; })
+                            .slice()
+                            .sort(function(a, b) { return b.volume - a.volume; })
+                            .slice(0, TOP_N);
+                        let maxVol = 0;
+                        ranked.forEach(function(b) { if (b.volume > maxVol) maxVol = b.volume; });
+                        const tStart = parseTs(tr.start_time);
+                        const maxWidthSec = Math.max(60, Math.floor((t1 - (isNaN(tStart) ? t1 : tStart)) * 0.15));
+                        ranked.forEach(function(b) {
+                            if (!b.volume || maxVol <= 0) return;
+                            const wSec = Math.max(1, Math.floor(maxWidthSec * (b.volume / maxVol)));
+                            const alpha = 0.2 + 0.55 * (b.volume / maxVol);
+                            const leftT = Math.max(isNaN(tStart) ? (t1 - wSec) : tStart, t1 - wSec);
+                            mainChart.addLineSeries({
+                                color: 'rgba(142, 68, 173, ' + alpha.toFixed(2) + ')',
+                                lineWidth: 1,
+                                lastValueVisible: false,
+                                priceLineVisible: false
+                            }).setData([
+                                { time: leftT, value: b.price },
+                                { time: t1, value: b.price }
+                            ]);
+                        });
+                        const levels = [
+                            { p: vp.poc, c: 'rgba(142, 68, 173, 0.95)', w: 2, style: 0 },
+                            { p: vp.vah, c: 'rgba(155, 89, 182, 0.7)', w: 1, style: 2 },
+                            { p: vp.val, c: 'rgba(155, 89, 182, 0.7)', w: 1, style: 2 }
+                        ];
+                        const t0 = parseTs(tr.start_time);
+                        levels.forEach(function(lv) {
+                            const p = parseFloat(lv.p);
+                            if (isNaN(p) || isNaN(t0)) return;
+                            mainChart.addLineSeries({
+                                color: lv.c,
+                                lineWidth: lv.w,
+                                lineStyle: lv.style,
+                                lastValueVisible: false,
+                                priceLineVisible: false
+                            }).setData([{ time: t0, value: p }, { time: t1, value: p }]);
+                        });
+                    }
+                }
+            } catch (e) { console.error('威科夫绘制出错:', e); }
+        }
         // 显示未完成中枢 - 分别处理主周期、次周期和次次周期
         if ($('#showMainZs').is(':checked') || $('#showElementZs').is(':checked') || $('#showSubSubZs').is(':checked') || $('#showSubSubBiZs').is(':checked')) {
             console.log('绘制未完成中枢 - 已启用');

web/static/js/app/chart_view.js

@@ -1,5 +1,6 @@
 /* chart_view.js — split from chart.js */
-function updateChart() {
+function updateChart(options) {
+    options = options || {};
     // 只显示旋转加载图标
     $('#refreshLoadingSpinner').show();
     
@@ -18,7 +19,7 @@ function updateChart() {
     const subSubTimeframe = $('#subSubTimeframe').val() || '';
     
     // 确保时区参数有效
-    console.log('更新图表使用时区:', timezone);
+    console.log('更新图表使用时区:', timezone, 'reason:', options.reason || (options.fromAutoRefresh ? 'auto' : 'manual'));
     console.log('数据源:', dataSource, '交易对/股票:', symbol);
     
     // 如果symbol为空，不发送请求
@@ -42,9 +43,14 @@ function updateChart() {
         endTimeMs = new Date($('#end_time').val()).getTime();
     }
 
+    // 自动刷新：取消进行中的上一请求，避免响应堆积
+    if (options.fromAutoRefresh && window._analyzeXhr && window._analyzeXhr.readyState !== 4) {
+        try { window._analyzeXhr.abort(); } catch (e) {}
+    }
+    
     // 发送请求
     const requestId = ++lastRequestId; // 标记本次请求
-    $.ajax({
+    window._analyzeXhr = $.ajax({
         url: '/api/analyze',
         data: {
             symbol: symbol,
@@ -56,7 +62,8 @@ function updateChart() {
             end_time: endTimeMs,
             elements_only: false,
             zone_kl_lines: parseInt($('#zoneKlLines').val()) || 1000,
-            include_structure_zones: $('#showMainStructureZone').is(':checked') ? 1 : 0
+            include_structure_zones: $('#showMainStructureZone').is(':checked') ? 1 : 0,
+            include_wyckoff: $('#showWyckoff').is(':checked') ? 1 : 0
         },
         success: function(data) {
             // 隐藏加载图标
@@ -75,16 +82,26 @@ function updateChart() {
             }
             currentData = data;
             
-            refreshChart(data);
+            refreshChart(data, {
+                incremental: options.incremental !== undefined
+                    ? !!options.incremental
+                    : !!options.fromAutoRefresh
+            });
         },
         error: function(jqXHR, textStatus, errorThrown) {
             // 隐藏加载图标
             $('#refreshLoadingSpinner').hide();
+            if (textStatus === 'abort') {
+                return;
+            }
             
             // 显示错误信息
             console.error('加载数据失败:', errorThrown);
+            // 自动刷新失败不弹窗打扰
+            if (!options.fromAutoRefresh) {
                 alert('加载数据失败: ' + (jqXHR.responseJSON?.error || errorThrown));
             }
+        }
     });
 }
 function captureChartViewState(chart) {

web/static/js/app/datafeed.js

@@ -1,20 +1,27 @@
 /**
  * TradingView Datafeed — 对接 Data Provider 微服务
  *
- * 数据源: http://103.179.242.166
+ * REST: https://provider.jackyu66.com
- * - GET /timeframes        → 可用周期
+ * WS:   wss://jackyu66.com/ws  （可通过 window.DATA_SERVICE_* 或 URL 参数覆盖）
- * - GET /api/candles       → 历史 OHLCV
- * - WS  /ws                → 实时 K 线推送
  *
- * 实现 IDatafeedChartApi 核心接口：
+ * 实时：subscribeBars → 收到 kline 后调用 onTick（由 Charting Library 增量更新，不重置缩放）
- *   onReady, resolveSymbol, getBars, subscribeBars, unsubscribeBars
  */
 
 var ChanTVDatafeed = (function () {
   'use strict'
 
-  // 默认 data_provider 地址，可通过 URL param 覆盖
+  function getParam(name) {
-  var DATA_HOST = 'http://103.179.242.166'
+    try {
+      var m = (new RegExp('[?&]' + name + '=([^&]*)')).exec(location.search)
+      return m ? decodeURIComponent(m[1]) : ''
+    } catch (e) {
+      return ''
+    }
+  }
+
+  // REST 与 WS 可分离（nginx 反代）
+  var DATA_HOST = (window.DATA_SERVICE_URL || getParam('data_host') || 'https://provider.jackyu66.com').replace(/\/$/, '')
+  var WS_URL = (window.DATA_SERVICE_WS_URL || getParam('ws_url') || 'wss://jackyu66.com/ws').replace(/\/$/, '')
 
   // ---- resolution <-> timeframe 转换 ----
   var RES_TO_TF = {
@@ -36,13 +43,12 @@ var ChanTVDatafeed = (function () {
   var ws = null
   var wsReconnectTimer = null
   var wsSubs = {} // listenerGuid -> { symbol, tf, onTick, lastTickTime }
-  var wsUrl = DATA_HOST.replace(/^http/, 'ws') + '/ws'
 
   function wsConnect() {
     if (ws && (ws.readyState === WebSocket.OPEN || ws.readyState === WebSocket.CONNECTING)) return
 
     try {
-      ws = new WebSocket(wsUrl)
+      ws = new WebSocket(WS_URL)
     } catch (e) {
       console.warn('[TV Datafeed] WS 连接失败', e)
       scheduleReconnect()
@@ -50,7 +56,7 @@ var ChanTVDatafeed = (function () {
     }
 
     ws.onopen = function () {
-      console.log('[TV Datafeed] WS 已连接')
+      console.log('[TV Datafeed] WS 已连接', WS_URL)
       // 重新订阅
       Object.keys(wsSubs).forEach(function (guid) {
         var sub = wsSubs[guid]
@@ -62,28 +68,35 @@ var ChanTVDatafeed = (function () {
       try {
         var msg = JSON.parse(evt.data)
         var bars = msg.data || msg.bars  // data_provider 用 'data' 字段
+        // 历史快照交给 getBars；实时只走 kline → onTick，避免冲掉缩放
+        if (msg.type === 'snapshot' || msg.type === 'subscribed') return
         if ((msg.type === 'kline' || msg.type === 'candles') && bars && bars.length > 0) {
-          // 只推送最新一根 bar，避免历史快照造成时间顺序冲突
-          // 按时间升序排列取最后一个
           var sorted = bars.slice().sort(function (a, b) { return (a.timestamp || 0) - (b.timestamp || 0) })
           var latest = sorted[sorted.length - 1]
-          // 广播给所有匹配的 subscriber
+          if (!latest || latest.timestamp == null) return
           Object.keys(wsSubs).forEach(function (guid) {
             var sub = wsSubs[guid]
             if (sub.symbol === msg.symbol && sub.tf === msg.timeframe) {
-              // 跳过已处理过的时间戳
+              // 允许同 timestamp 更新未收盘棒（用 < 而不是 <=）
-              if (sub.lastTickTime && latest.timestamp <= sub.lastTickTime) return
+              if (sub.lastTickTime != null && latest.timestamp < sub.lastTickTime) return
-              try {
+              var tick = {
-                sub.onTick({
                 time: latest.timestamp,
                 open: latest.open,
                 high: latest.high,
                 low: latest.low,
                 close: latest.close,
                 volume: latest.volume,
-                })
+              }
+              try {
+                sub.onTick(tick)
                 sub.lastTickTime = latest.timestamp
               } catch (e) { /* ignore */ }
+              // 通知页面：更新缠论缓存（K 线由 TV onTick 处理，不重置缩放）
+              try {
+                if (window.ChanTvRealtime && typeof window.ChanTvRealtime.onBar === 'function') {
+                  window.ChanTvRealtime.onBar(msg.symbol, msg.timeframe, latest)
+                }
+              } catch (e2) { /* ignore */ }
             }
           })
         }

web/static/js/app/macd_ui.js

@@ -93,6 +93,26 @@ $(document).on('change', '#showMainStructureZone', function() {
     }
 });
 
+// 威科夫主开关：勾选才请求；子项仅本地重绘
+function syncWyckoffSubControls() {
+    const on = $('#showWyckoff').is(':checked');
+    $('#showWyckoffRange, #showWyckoffPhases, #showWyckoffEvents, #showWyckoffVP').prop('disabled', !on);
+}
+$(document).on('change', '#showWyckoff', function() {
+    const on = $('#showWyckoff').is(':checked');
+    syncWyckoffSubControls();
+    console.log('威科夫切换为:', on);
+    if (on) {
+        updateChart();
+    } else {
+        updateChartDisplay();
+    }
+});
+$(document).on('change', '#showWyckoffRange, #showWyckoffPhases, #showWyckoffEvents, #showWyckoffVP', function() {
+    updateChartDisplay();
+});
+$(function() { syncWyckoffSubControls(); });
+
 // 添加趋势显示复选框变更事件（主/元素），变更后刷新主图
 $('#showMainTrend').change(function() {
     updateChartDisplay();

web/static/js/app/ui.js

@@ -88,15 +88,13 @@ $(document).ready(function() {
             .always(function() {
                 loadAStockSymbols();
                 startAStockStatusUpdater();
+                // A 股：metadata 完成后再拉数（下方不再重复 updateChart）
                 setTimeout(function() {
                     updateChart();
                 }, 300);
             });
-    } else {
-        setTimeout(function() {
-            updateChart();
-        }, 500);
     }
+    // 加密货币：统一在文末单次 updateChart，避免重复请求
     
     // 初始化交易对下拉菜单
     $('#symbol').val('BTC/USDT:USDT');
@@ -245,6 +243,7 @@ $(document).ready(function() {
 // 自动刷新相关变量
 let autoRefreshTimer = null;
 let nextRefreshTime = null;
+let autoRefreshTick = 0;
 // 初始化自动刷新功能
 function initAutoRefresh() {
     // 监听自动刷新勾选框变化
@@ -281,12 +280,18 @@ function startAutoRefresh() {
     updateNextRefreshTimeDisplay();
     
     // 启动定时器
+    autoRefreshTick = 0;
     autoRefreshTimer = setInterval(function() {
         // 更新结束时间为当前时间
         updateEndTimeToNow();
         
-        // 刷新图表
+        // 多数周期增量更新；每隔若干次全量重建以刷新笔/段/中枢（dispose 已防泄漏）
-        updateChart();
+        autoRefreshTick += 1;
+        const fullRebuild = (autoRefreshTick % 6) === 0;
+        updateChart({
+            fromAutoRefresh: true,
+            incremental: !fullRebuild
+        });
         
         // 更新下次刷新时间
         nextRefreshTime = new Date(Date.now() + intervalMs);
@@ -512,7 +517,7 @@ function updateFractalTables() {
 }
 
 // 刷新图表并更新表格
-function refreshChart(data) {
+function refreshChart(data, options) {
     // 检查是否接收到数据
     if (!data) {
         console.error('未收到数据，无法刷新图表');
@@ -523,6 +528,31 @@ function refreshChart(data) {
         $('#elementTimeframe').val(data.element_timeframe);
     }
 
+    options = options || {};
+    const preferIncremental = !!options.incremental;
+    const chartsReady = tvWidget && tvWidget.state && tvWidget.state.isInitialized && tvWidget.mainChart;
+
+    // 自动刷新：增量更新，避免每次销毁/重建 Lightweight Charts
+    if (preferIncremental && chartsReady) {
+        try {
+            if (tvWidget.mainChart) {
+                try {
+                    window._pendingRestoreView = captureChartViewState(tvWidget.mainChart);
+                } catch (e) {
+                    window._pendingRestoreView = null;
+                }
+            }
+            updateTradingViewData();
+            updateTables(data);
+            if (currentData && currentData.ema52_dict) {
+                updateEMA52Display(currentData);
+            }
+            return;
+        } catch (e) {
+            console.warn('增量刷新失败，回退全量重建:', e);
+        }
+    }
+    
     // 保存当前缩放(barSpacing)和滚动位置(scrollPosition)到 window
     // tvWidget 会在 initTradingView 内被重建，所以必须存到 window 上
     if (tvWidget && tvWidget.mainChart) {

web/templates/chan_tv.html

@@ -119,7 +119,7 @@
 
   <!-- 控制栏 -->
   <div class="toolbar">
-    <span class="logo">缠<span>论</span></span>
+    <span class="logo">缠<span>论</span> <small style="font-weight:500;color:#888;font-size:12px;">全版</small></span>
     <input id="symbol-input" type="text" value="BTC/USDT:USDT" title="交易对">
     <select id="tf-select" title="周期">
       <option value="1m">1m</option>
@@ -135,6 +135,7 @@
     </select>
     <button id="btn-reload" class="btn btn-reload" title="刷新数据">↻ 刷新</button>
     <button id="btn-theme" class="btn btn-theme" title="切换主题">🌙</button>
+    <span style="font-size:12px;color:#666;white-space:nowrap;">指标会自动存到本机，刷新后恢复</span>
     <span class="status" id="status-bar">
       <span class="dot yellow"></span> 初始化...
     </span>
@@ -147,26 +148,28 @@
   <!-- TV charting library -->
   <script src="/charting_library/charting_library.js"></script>
   <!-- 自定义模块 -->
+  <script>
+    window.DATA_SERVICE_URL = "{{ data_service_url }}";
+    window.DATA_SERVICE_WS_URL = "{{ data_service_ws_url }}";
+  </script>
   <script src="/static/js/app/api_client.js?v=1"></script>
-  <script src="/static/js/app/chan_engine.js?v=4"></script>
+  <script src="/static/js/app/chan_engine.js?v=5"></script>
-  <script src="/static/js/app/datafeed.js?v=6"></script>
+  <script src="/static/js/app/datafeed.js?v=8"></script>
-  <script src="/static/js/app/chan_indicator.js?v=10"></script>
+  <script src="/static/js/app/chan_indicator.js?v=11"></script>
 
   <script>
   (function () {
     'use strict'
 
-    // ---- 配置 ----
-    var DATA_HOST = 'http://103.179.242.166'
-    // WebSocket URL
-    var WS_URL = DATA_HOST.replace(/^http/, 'ws') + '/ws'
-
     // ---- 读取 URL params ----
     function getParam(name, def) {
       var m = (new RegExp('[?&]' + name + '=([^&]*)')).exec(location.search)
       return m ? decodeURIComponent(m[1]) : def
     }
 
+    // ---- 配置（REST / WS 可分离）----
+    var DATA_HOST = (window.DATA_SERVICE_URL || getParam('data_host', 'https://provider.jackyu66.com')).replace(/\/$/, '')
+
     var defaultSymbol = getParam('symbol', 'BTC/USDT:USDT')
     var defaultTf = getParam('tf', '5m')
 
@@ -191,7 +194,6 @@
     var lastChanKey = ''
     var fetchPromise = null  // 防止并发请求
     var computePending = false  // 标记是否有待处理的计算
-    var computeTimeout = null  // 防抖，避免 WS 洪水
 
     // ---- 工具：resolution ↔ timeframe ----
     function tfToRes(tf) {
@@ -378,6 +380,36 @@
       setStatus('ok')
     }
 
+    // ---- 本地缓存图表布局（含已开指标）----
+    var CHART_STATE_KEY = 'chan_tv_chart_state_v1'
+
+    function loadSavedChartState() {
+      try {
+        var raw = localStorage.getItem(CHART_STATE_KEY)
+        if (!raw) return null
+        return JSON.parse(raw)
+      } catch (e) {
+        console.warn('[布局] 读取本地缓存失败', e)
+        return null
+      }
+    }
+
+    function persistChartState() {
+      if (!widget || typeof widget.save !== 'function') return
+      try {
+        widget.save(function (state) {
+          try {
+            localStorage.setItem(CHART_STATE_KEY, JSON.stringify(state))
+            console.log('[布局] 已缓存到本地（含指标）')
+          } catch (e) {
+            console.warn('[布局] 写入 localStorage 失败', e)
+          }
+        })
+      } catch (e) {
+        console.warn('[布局] save 失败', e)
+      }
+    }
+
     // ---- 初始化 TV Widget ----
     function initTvWidget() {
       var symbol = symbolInput.value.trim()
@@ -394,15 +426,15 @@
               computeAndRefreshChan(true)
             }
           })
-          // WS 重新订阅新周期
+          // WS 重新订阅由 datafeed.subscribeBars 自动处理
-          if (window._resubscribeChanWS) window._resubscribeChanWS()
         } catch (e) {
           console.warn('setSymbol failed', e)
         }
         return
       }
 
-      widget = new TradingView.widget({
+      var savedState = loadSavedChartState()
+      var widgetOpts = {
         container: chartContainer,
         library_path: '/charting_library/',
         datafeed: ChanTVDatafeed,
@@ -413,31 +445,65 @@
         theme: getTheme(),
         timezone: 'Asia/Shanghai',
         locale: 'zh',
-        toolbar_bg: '#f8f9fa',
+        toolbar_bg: getTheme() === 'dark' ? '#131722' : '#f8f9fa',
         client_id: 'chan-core',
         user_id: 'local',
+        auto_save_delay: 3, // 秒；变更后自动触发 onAutoSaveNeeded
+        // 仅注入缠论；其余全部走 TradingView 内置指标库（不设 studies_access = 不限制）
         custom_indicators_getter: function () {
           return Promise.resolve([makeChanIndicator()])
         },
+        // 币安式：顶部可点「指标」添加全部内置指标；左侧绘图工具栏
+        // 注意：不要开 study_templates（无 charts_storage_url 会 404 打断工具栏）
         disabled_features: [
-          'header_compare',
           'header_saveload',
           'study_templates',
-          'create_volume_indicator_by_default',
+          'volume_force_overlay', // 关：成交量独立副图，不叠主图
-          'save_chart_properties_to_local_storage',
         ],
         enabled_features: [
-          'hide_left_toolbar_by_default',
+          'header_widget',
+          'header_indicators',
+          'header_fullscreen_button',
+          'header_chart_type',
+          'header_resolutions',
+          'header_settings',
+          'header_undo_redo',
+          'header_screenshot',
+          'left_toolbar',
+          'control_bar',
+          'timeframes_toolbar',
+          'edit_buttons_in_legend',
+          'context_menus',
+          'legend_context_menu',
+          'pane_context_menu',
+          'scales_context_menu',
+          'show_object_tree',
           'items_favoriting',
+          'insert_indicator_dialog_shortcut',
+          'caption_buttons_text_if_possible',
+          'create_volume_indicator_by_default',
+          // 不用 volume_force_overlay：成交量单独副图，与主图分开
+          'display_legend_on_all_charts',
+          'use_localstorage_for_settings',
         ],
         favorites: {
-          intervals: ['1', '5', '15', '30', '60', '240', 'D'],
+          intervals: ['1', '3', '5', '15', '30', '60', '240', 'D'],
-          chartTypes: ['Candles'],
+          chartTypes: ['Candles', 'Line', 'Area'],
+          indicators: [
+            'Moving Average',
+            'EMA Cross',
+            'MACD',
+            'Relative Strength Index',
+            'Bollinger Bands',
+            'Volume',
+            'Stochastic',
+            'Average True Range',
+            '缠论',
+          ],
         },
         studies_overrides: {
-          'macd.macd.display': 3,
+          'volume.volume.color.0': 'rgba(8, 153, 129, 0.4)',
-          'macd.signal.display': 3,
+          'volume.volume.color.1': 'rgba(239, 68, 68, 0.4)',
-          'macd.histogram.display': 3,
         },
         overrides: {
           'paneProperties.background': getTheme() === 'light' ? '#ffffff' : '#131722',
@@ -449,28 +515,54 @@
           'mainSeriesProperties.candleStyle.wickUpColor': '#ef4444',
           'mainSeriesProperties.candleStyle.wickDownColor': '#089981',
         },
-      })
+      }
+      // 有本地缓存则恢复布局（含已开指标）；会覆盖构造时的 symbol/interval
+      if (savedState) {
+        widgetOpts.saved_data = savedState
+        console.log('[布局] 从本地恢复上次指标/布局')
+      }
+
+      widget = new TradingView.widget(widgetOpts)
 
       widget.onChartReady(function () {
         chart = widget.activeChart()
         window._chanChart = chart  // for debugging
         if (!chart) return
 
-        // 创建 MACD
+        // 缓存恢复后，若工具栏交易对/周期与缓存不一致，切回工具栏选择（保留指标）
         try {
-          chart.createStudy('MACD', false, false)
+          var curSym = chart.symbol()
+          var curRes = chart.resolution()
+          var wantRes = tfToRes(tf)
+          if (curSym !== symbol || String(curRes) !== String(wantRes)) {
+            widget.setSymbol(symbol, wantRes, function () {
+              chart = widget.activeChart()
+            })
+          }
         } catch (e) {
-          console.warn('createStudy MACD failed', e)
+          console.warn('同步工具栏 symbol/tf 失败', e)
         }
 
-        // 调整 MACD 副图大小
+        // 自动保存：加指标/改设置后写入 localStorage
         try {
-          var panes = chart.getPanes()
+          widget.subscribe('onAutoSaveNeeded', function () {
-          if (panes.length >= 2) {
+            persistChartState()
-            panes[panes.length - 1].setHeight(150)
+          })
-          }
         } catch (e) {
-          console.warn('resize MACD pane failed', e)
+          console.warn('subscribe onAutoSaveNeeded failed', e)
+        }
+        // 兜底：指标增删时也存一份
+        try {
+          widget.subscribe('study', function () {
+            setTimeout(persistChartState, 500)
+          })
+        } catch (e) { /* 部分版本无此事件 */ }
+
+        // 确保缠论指标挂上（自定义）
+        try {
+          ensureAndPokeChanStudy(chart)
+        } catch (e) {
+          console.warn('ensure Chan study failed', e)
         }
 
         // 监听数据加载完 → 刷新缠论
@@ -479,7 +571,7 @@
         // 监听可视范围变化 → 刷新缠论
         attachVisibleRangeListener(chart)
 
-        // 监听样式变化 → 持久化
+        // 监听样式变化 → 持久化缠论样式 + 整图布局
         try {
           widget.subscribe('study_properties_changed', function (entityId) {
             var studies = chart.getAllStudies ? chart.getAllStudies() : []
@@ -491,6 +583,7 @@
               var sv = api ? api.getStyleValues() : null
               if (sv) saveChanStyles(sv)
             }
+            persistChartState()
           })
         } catch (e) {
           console.warn('subscribe study_properties_changed failed', e)
@@ -570,289 +663,52 @@
     setStatus('loading');
     initTvWidget();
 
-    // ---- WebSocket 实时 K 线 → 增量缠论更新 ----
+    // ---- 实时：只用 TV datafeed 的 onTick 更新 K（不重置缩放）----
-    (function () {
+    // 缠论缓存由 datafeed 回调同步；新棒出现（收盘）再重算缠论
-      var ws = null
+    ;(function () {
-      var reconnectTimer = null
+      var chanDebounce = null
-      var pendingBars = []        // 收集待处理的新 bar
+      var lastTs = null
-      var lastWsMsgTime = 0       // 上次收到消息的时间（心跳检测）
-      var heartbeatTimer = null   // 心跳超时检测
-      var backfillTimer = null    // 回补延迟
 
-      function getTfMs(tf) {
+      window.ChanTvRealtime = {
-        var map = { '1m':60000, '3m':180000, '5m':300000, '15m':900000, '30m':1800000,
+        onBar: function (symbol, tf, bar) {
-                    '1h':3600000, '2h':7200000, '4h':14400000, '6h':21600000, '8h':28800000,
+          if (!bar || bar.timestamp == null) return
-                    '12h':43200000, '1d':86400000, '3d':259200000, '1w':604800000, '1M':2592000000 }
-        return map[tf] || 300000
-      }
-
-      function startHeartbeat(tf) {
-        stopHeartbeat()
-        // 期望每根 bar 至少收到一次数据，超时设为 3 倍周期 + 10 秒
-        var interval = Math.min(getTfMs(tf) * 3 + 10000, 60000) // 最长 60s
-        heartbeatTimer = setTimeout(function () {
-          console.warn('[WS] 心跳超时，重连...')
-          if (ws) { try { ws.close() } catch (e) { /* ignore */ } }
-          reconnectWS()
-        }, interval)
-      }
-
-      function stopHeartbeat() {
-        if (heartbeatTimer) clearTimeout(heartbeatTimer)
-        heartbeatTimer = null
-      }
-
-      function touchHeartbeat() {
-        lastWsMsgTime = Date.now()
-        var tf
-        try { tf = resToTf(chart.resolution()) } catch (e) { tf = tfSelect.value }
-        startHeartbeat(tf)
-      }
-
-      function wsConnect() {
-        if (ws && (ws.readyState === WebSocket.OPEN || ws.readyState === WebSocket.CONNECTING)) return
-
-        try { ws = new WebSocket(WS_URL) }
-        catch (e) { return }
-
-        ws.onopen = function () {
-          console.log('[WS] 已连接')
-          setStatus('ok')
-          var sym, tf
-          try { sym = chart.symbol() } catch (e) { sym = symbolInput.value.trim() }
-          try { tf = resToTf(chart.resolution()) } catch (e) { tf = tfSelect.value }
-          var subMsg = JSON.stringify({ action: 'subscribe', symbol: sym, timeframe: tf })
-          console.log('[WS] 发送订阅', subMsg)
-          ws.send(subMsg)
-          touchHeartbeat()
-        }
-
-        ws.onmessage = function (evt) {
-          touchHeartbeat()
-          try {
-            var msg = JSON.parse(evt.data)
-            var bars = msg.data || msg.bars
-            if (msg.type === 'subscribed') {
-              console.log('[WS] 已订阅', msg.symbol, msg.timeframe)
-              return
-            }
-            if (msg.type === 'snapshot' && bars) {
-              console.log('[WS] 收到快照', bars.length, '根 bar')
-              // 仅在 REST 数据尚未到达且没有进行中的请求时才用快照初始化
-              if (cachedOhlcvBars.length === 0 && !fetchPromise) {
-                for (var i = 0; i < bars.length; i++) {
-                  var b = bars[i]
-                  cachedOhlcvBars.push({
-                    timestamp: b.timestamp, datetime: b.datetime || new Date(b.timestamp).toISOString(),
-                    open: b.open, high: b.high, low: b.low, close: b.close, volume: b.volume || 0,
-                  })
-                }
-                var dpS, tF
-                try { dpS = chart.symbol() } catch (e) { dpS = symbolInput.value.trim() }
-                try { tF = resToTf(chart.resolution()) } catch (e) { tF = tfSelect.value }
-                doChanCompute(cachedOhlcvBars, dpS, tF)
-              }
-              // 回补缺失数据：检查快照与缓存之间的缺口
-              scheduleBackfill(bars)
-              return
-            }
-            if ((msg.type === 'kline' || msg.type === 'candles') && bars && bars.length > 0) {
           var curSym, curTf
-              try { curSym = chart.symbol() } catch (e) { curSym = symbolInput.value.trim() }
+          try { curSym = chart && chart.symbol() } catch (e) { curSym = symbolInput.value.trim() }
-              try { curTf = resToTf(chart.resolution()) } catch (e) { curTf = tfSelect.value }
+          try { curTf = chart && resToTf(chart.resolution()) } catch (e) { curTf = tfSelect.value }
-              if (msg.symbol !== curSym || msg.timeframe !== curTf) return
+          if (symbol !== curSym || tf !== curTf) return
 
-              for (var i = 0; i < bars.length; i++) {
+          var closed = false
-                var bar = bars[i]
+          if (cachedOhlcvBars && cachedOhlcvBars.length) {
-                var exists = false
+            var last = cachedOhlcvBars[cachedOhlcvBars.length - 1]
-                for (var j = cachedOhlcvBars.length - 1; j >= Math.max(0, cachedOhlcvBars.length - 100); j--) {
+            if (bar.timestamp === last.timestamp) {
-                  if (cachedOhlcvBars[j].timestamp === bar.timestamp) { exists = true; break }
+              last.open = bar.open; last.high = bar.high; last.low = bar.low
-                }
+              last.close = bar.close; last.volume = bar.volume || 0
-                if (exists) continue
+            } else if (bar.timestamp > last.timestamp) {
-                // 也检查 pendingBars 去重
-                var inPending = false
-                for (var k = 0; k < pendingBars.length; k++) {
-                  if (pendingBars[k].timestamp === bar.timestamp) { inPending = true; break }
-                }
-                if (inPending) continue
-
-                pendingBars.push({
-                  timestamp: bar.timestamp, datetime: bar.datetime || new Date(bar.timestamp).toISOString(),
-                  open: bar.open, high: bar.high, low: bar.low, close: bar.close, volume: bar.volume || 0,
-                })
-              }
-
-              if (computeTimeout) clearTimeout(computeTimeout)
-              computeTimeout = setTimeout(flushPendingBars, 100)
-            }
-          } catch (e) { /* ignore */ }
-        }
-
-        ws.onclose = function () {
-          ws = null
-          // 断线前立即处理待处理数据
-          if (pendingBars.length > 0) {
-            flushPendingBars()
-          }
-          scheduleReconnect()
-        }
-
-        ws.onerror = function () { /* onclose fires next */ }
-      }
-
-      function scheduleReconnect() {
-        if (reconnectTimer) clearTimeout(reconnectTimer)
-        // 自适应重连延迟：短周期用短延迟
-        var tf, delay = 3000
-        try { tf = resToTf(chart.resolution()) } catch (e) { tf = tfSelect.value }
-        if (tf === '1m' || tf === '3m') delay = 1000
-        else if (tf === '5m' || tf === '15m') delay = 2000
-        reconnectTimer = setTimeout(reconnectWS, delay)
-      }
-
-      function reconnectWS() {
-        reconnectTimer = null
-        stopHeartbeat()
-        if (ws) { try { ws.close() } catch (e) { /* ignore */ } ws = null }
-        wsConnect()
-      }
-
-      // ---- 回补缺失数据 ----
-      function scheduleBackfill(snapshotBars) {
-        if (backfillTimer) clearTimeout(backfillTimer)
-        backfillTimer = setTimeout(function () { backfillGaps(snapshotBars) }, 500)
-      }
-
-      function backfillGaps(snapshotBars) {
-        if (cachedOhlcvBars.length === 0) return
-
-        // 按时间排序缓存
-        cachedOhlcvBars.sort(function (a, b) { return a.timestamp - b.timestamp })
-        var lastTs = cachedOhlcvBars[cachedOhlcvBars.length - 1].timestamp
-
-        var tf
-        try { tf = resToTf(chart.resolution()) } catch (e) { tf = tfSelect.value }
-        var periodMs = getTfMs(tf)
-
-        // 检查最后一根 bar 到当前时间的缺口
-        var now = Date.now()
-        var expectedBars = Math.floor((now - lastTs) / periodMs) - 1
-        if (expectedBars <= 1) return // 缺口 <= 1 根无需回补
-
-        console.log('[WS] 检测到数据缺口:', expectedBars, '根 bar, 回补中...')
-
-        // 从快照中提取缺失的 bar
-        if (snapshotBars && snapshotBars.length > 0) {
-          var filled = 0
-          for (var i = 0; i < snapshotBars.length; i++) {
-            var b = snapshotBars[i]
-            if (b.timestamp <= lastTs) continue
-            // 去重
-            var dup = false
-            for (var j = cachedOhlcvBars.length - 1; j >= Math.max(0, cachedOhlcvBars.length - 200); j--) {
-              if (cachedOhlcvBars[j].timestamp === b.timestamp) { dup = true; break }
-            }
-            if (dup) continue
               cachedOhlcvBars.push({
-              timestamp: b.timestamp, datetime: b.datetime || new Date(b.timestamp).toISOString(),
+                timestamp: bar.timestamp,
-              open: b.open, high: b.high, low: b.low, close: b.close, volume: b.volume || 0,
+                datetime: bar.datetime || new Date(bar.timestamp).toISOString(),
+                open: bar.open, high: bar.high, low: bar.low, close: bar.close,
+                volume: bar.volume || 0,
               })
-            filled++
+              if (cachedOhlcvBars.length > 5000) {
+                cachedOhlcvBars = cachedOhlcvBars.slice(cachedOhlcvBars.length - 5000)
               }
-          if (filled > 0) {
+              closed = true
-            console.log('[WS] 从快照回补', filled, '根 bar')
             }
           }
 
-        // 如果快照不够，从 REST API 拉取
+          // 仅在上一根走完时重算缠论（K/MACD 已由 TV 自带更新）
-        if (expectedBars > 10) {
+          if (closed || (lastTs != null && bar.timestamp > lastTs)) {
-          console.log('[WS] 缺口较大，从 REST 回补...')
+            if (chanDebounce) clearTimeout(chanDebounce)
-          var dpSymbol
+            chanDebounce = setTimeout(function () {
-          try { dpSymbol = chart.symbol() } catch (e) { dpSymbol = symbolInput.value.trim() }
+              chanDebounce = null
-          var start = lastTs + periodMs
+              if (cachedOhlcvBars && cachedOhlcvBars.length) {
-          var url = DATA_HOST + '/api/candles?symbol=' + encodeURIComponent(dpSymbol) +
+                doChanCompute(cachedOhlcvBars, curSym, curTf)
-                    '&tf=' + encodeURIComponent(tf) + '&start=' + start + '&end=' + now + '&limit=500'
-          fetch(url).then(function (r) { return r.json() }).then(function (data) {
-            if (!Array.isArray(data)) return
-            var added = 0
-            for (var i = 0; i < data.length; i++) {
-              var d = data[i]
-              if (d.timestamp <= lastTs) continue
-              var dup = false
-              for (var j = cachedOhlcvBars.length - 1; j >= Math.max(0, cachedOhlcvBars.length - 200); j--) {
-                if (cachedOhlcvBars[j].timestamp === d.timestamp) { dup = true; break }
               }
-              if (dup) continue
+            }, 400)
-              cachedOhlcvBars.push({
-                timestamp: d.timestamp, datetime: d.datetime || new Date(d.timestamp).toISOString(),
-                open: d.open, high: d.high, low: d.low, close: d.close, volume: d.volume || 0,
-              })
-              added++
           }
-            if (added > 0) {
+          lastTs = bar.timestamp
-              cachedOhlcvBars.sort(function (a, b) { return a.timestamp - b.timestamp })
-              console.log('[WS] REST 回补', added, '根 bar')
-              doChanCompute(cachedOhlcvBars, dpSymbol, tf)
         }
-          }).catch(function (err) { console.warn('[WS] REST 回补失败', err.message) })
-        } else if (expectedBars > 1) {
-          // 小缺口直接触发重算
-          cachedOhlcvBars.sort(function (a, b) { return a.timestamp - b.timestamp })
-          var s, t
-          try { s = chart.symbol() } catch (e) { s = symbolInput.value.trim() }
-          try { t = resToTf(chart.resolution()) } catch (e) { t = tfSelect.value }
-          doChanCompute(cachedOhlcvBars, s, t)
-        }
-      }
-
-      function flushPendingBars() {
-        computeTimeout = null
-        if (pendingBars.length === 0) return
-        if (cachedOhlcvBars.length === 0) {
-          pendingBars = []
-          return
-        }
-
-        console.log('[WS] 增量更新', pendingBars.length, '根新 bar')
-
-        for (var i = 0; i < pendingBars.length; i++) {
-          cachedOhlcvBars.push(pendingBars[i])
-        }
-        pendingBars = []
-
-        // 去重并排序
-        var seen = {}
-        var deduped = []
-        for (var i = 0; i < cachedOhlcvBars.length; i++) {
-          var ts = cachedOhlcvBars[i].timestamp
-          if (!seen[ts]) { seen[ts] = true; deduped.push(cachedOhlcvBars[i]) }
-        }
-        deduped.sort(function (a, b) { return a.timestamp - b.timestamp })
-        cachedOhlcvBars = deduped
-
-        // 限制缓存大小（保留最近数据）
-        var maxBars = 5000
-        if (cachedOhlcvBars.length > maxBars) {
-          cachedOhlcvBars = cachedOhlcvBars.slice(cachedOhlcvBars.length - maxBars)
-        }
-
-        var dpSymbol, tf
-        try { dpSymbol = chart.symbol() } catch (e) { dpSymbol = null }
-        try { tf = resToTf(chart.resolution()) } catch (e) { tf = null }
-        if (!dpSymbol || !tf) return
-
-        doChanCompute(cachedOhlcvBars, dpSymbol, tf)
-      }
-
-      // 延迟连接
-      setTimeout(wsConnect, 2000)
-
-      // 暴露给 initTvWidget
-      window._resubscribeChanWS = function () {
-        stopHeartbeat()
-        if (ws) { try { ws.close() } catch (e) { /* ignore */ } ws = null }
-        if (reconnectTimer) clearTimeout(reconnectTimer)
-        reconnectTimer = setTimeout(reconnectWS, 500)
       }
     })()
   })()

web/templates/index.html

@@ -972,6 +972,26 @@
                                 <label class="form-check-label" for="showMainStructureZone">结构区</label>
                             </div>
                             <input type="number" id="zoneKlLines" class="form-control form-control-sm" value="1000" min="100" max="5000" step="100" style="width:80px;" title="结构区K线数量">
+                            <div class="form-check form-check-inline me-1 ms-2">
+                                <input class="form-check-input" type="checkbox" id="showWyckoff">
+                                <label class="form-check-label" for="showWyckoff">威科夫</label>
+                            </div>
+                            <div class="form-check form-check-inline me-1">
+                                <input class="form-check-input" type="checkbox" id="showWyckoffRange" checked disabled>
+                                <label class="form-check-label" for="showWyckoffRange">区间</label>
+                            </div>
+                            <div class="form-check form-check-inline me-1">
+                                <input class="form-check-input" type="checkbox" id="showWyckoffPhases" checked disabled>
+                                <label class="form-check-label" for="showWyckoffPhases">阶段</label>
+                            </div>
+                            <div class="form-check form-check-inline me-1">
+                                <input class="form-check-input" type="checkbox" id="showWyckoffEvents" checked disabled>
+                                <label class="form-check-label" for="showWyckoffEvents">事件</label>
+                            </div>
+                            <div class="form-check form-check-inline me-1">
+                                <input class="form-check-input" type="checkbox" id="showWyckoffVP" checked disabled>
+                                <label class="form-check-label" for="showWyckoffVP">VP</label>
+                            </div>
                             <span id="nextRefreshTime" class="text-muted" style="display:none;font-size:0.85rem;"></span>
                             <div id="refreshLoadingSpinner" class="loading-spinner ms-2" style="display:none;"></div>
                         </div>
@@ -1264,11 +1284,11 @@
     <script defer src="{{ url_for('static', filename='js/app/trend.js') }}"></script>
     <script defer src="{{ url_for('static', filename='js/app/macd_ui.js') }}"></script>
     <script defer src="{{ url_for('static', filename='js/app/chart_format.js') }}"></script>
-    <script defer src="{{ url_for('static', filename='js/app/chart_view.js') }}"></script>
+    <script defer src="{{ url_for('static', filename='js/app/chart_view.js') }}?v=20260806a"></script>
-    <script defer src="{{ url_for('static', filename='js/app/chart_tv.js') }}"></script>
+    <script defer src="{{ url_for('static', filename='js/app/chart_tv.js') }}?v=20260806a"></script>
-    <script defer src="{{ url_for('static', filename='js/app/chart_sync.js') }}"></script>
+    <script defer src="{{ url_for('static', filename='js/app/chart_sync.js') }}?v=20260806a"></script>
     <script defer src="{{ url_for('static', filename='js/app/chart_tables.js') }}"></script>
-    <script defer src="{{ url_for('static', filename='js/app/ui.js') }}"></script>
+    <script defer src="{{ url_for('static', filename='js/app/ui.js') }}?v=20260806a"></script>
     <script defer src="{{ url_for('static', filename='js/app/overlays.js') }}"></script>
     <script defer src="{{ url_for('static', filename='js/app/main.js') }}"></script>
 

web/tests/test_analyze_contract.py

@@ -1,14 +1,63 @@
-""" /api/analyze 契约冒烟：关键字段存在于契约清单。"""
+"""ECR-002：加深 /api/analyze 相关契约 —— mock 行情 + analyze_chan 关键字段快照。"""
 from __future__ import annotations
 
 import json
 import sys
 from pathlib import Path
+from unittest.mock import patch
+
+import pandas as pd
+import pytest
 
 ROOT = Path(__file__).resolve().parents[2]
 sys.path.insert(0, str(ROOT))
 sys.path.insert(0, str(ROOT / "web"))
 
+from tests.generate_golden import make_ohlcv  # noqa: E402
+
+
+_CONTRACT_DOC = json.loads(
+    (ROOT / "tests" / "fixtures" / "analyze_contract_keys.json").read_text(encoding="utf-8")
+)
+CONTRACT_KEYS = (
+    _CONTRACT_DOC["required"]
+    if isinstance(_CONTRACT_DOC, dict) and "required" in _CONTRACT_DOC
+    else _CONTRACT_DOC
+)
+WYCKOFF_KEYS = (
+    _CONTRACT_DOC.get("wyckoff_keys", [])
+    if isinstance(_CONTRACT_DOC, dict)
+    else []
+)
+
+# analyze_chan 直接返回的对象字段（未序列化前）
+ANALYZE_CHAN_KEYS = {
+    "klc_list",
+    "klu_list",
+    "bi_list",
+    "seg_list",
+    "zs_list",
+    "bi_zs_list",
+    "bsp_list",
+    "klc_fx_info",
+    "chan_macd",
+    "ema52_dict",
+}
+
+CHAN_MACD_SERIALIZED_KEYS = {
+    "seg_list",
+    "unittf_list",
+    "histset_list",
+    "high_position_list",
+    "high_empty_list",
+    "low_position_list",
+    "low_empty_list",
+    "return_zero_list",
+    "cross0_up_list",
+    "cross0_down_list",
+    "klu_list",
+}
+
 
 def test_analyze_route_registered():
     from app import app
@@ -21,9 +70,119 @@ def test_analyze_route_registered():
 
 
 def test_contract_keys_stable():
-    keys = json.loads(
+    assert "bi_list" in CONTRACT_KEYS and "seg_list" in CONTRACT_KEYS
-        (ROOT / "tests" / "fixtures" / "analyze_contract_keys.json").read_text(
+    for k in ("kline_data", "macd", "zs_list", "bsp_list", "chan_macd"):
-            encoding="utf-8"
+        assert k in CONTRACT_KEYS
+
+
+def test_analyze_chan_keys_on_fixture():
+    from services.runtime import add_indicators, analyze_chan
+
+    df = add_indicators(make_ohlcv(400))
+    result = analyze_chan(df, symbol="TEST/USDT:USDT", timeframe="5m")
+    assert set(result.keys()) == ANALYZE_CHAN_KEYS
+    assert isinstance(result["bi_list"], list)
+    assert isinstance(result["seg_list"], list)
+    assert isinstance(result["chan_macd"], dict)
+    for k in ("seg_list", "unittf_list", "histset_list"):
+        assert k in result["chan_macd"]
+
+
+def test_serialize_chan_macd_shape():
+    from pytz import timezone
+
+    from services.runtime import add_indicators, analyze_chan, serialize_chan_macd_data
+
+    df = add_indicators(make_ohlcv(200))
+    result = analyze_chan(df)
+    serialized = serialize_chan_macd_data(result["chan_macd"], timezone("Asia/Shanghai"))
+    assert set(serialized.keys()) == CHAN_MACD_SERIALIZED_KEYS
+    # JSON 可序列化
+    json.dumps(serialized)
+
+
+def test_analyze_http_contract_with_mocked_kl():
+    """Flask 测试客户端：mock get_kl_data，断言响应含契约关键字段。"""
+    from app import app
+    from services.runtime import add_indicators
+
+    df = add_indicators(make_ohlcv(300))
+    df = df.copy()
+    if "timestamp" not in df.columns:
+        df["timestamp"] = (pd.to_datetime(df["date"]).astype("int64") // 10**6).astype("int64")
+
+    # analyze 路由使用 `from services.runtime import *`，须 patch 其模块命名空间
+    with patch("api.analyze.get_kl_data", return_value=df):
+        client = app.test_client()
+        resp = client.get(
+            "/api/analyze",
+            query_string={
+                "symbol": "BTC/USDT:USDT",
+                "timeframe": "5m",
+                "timezone": "Asia/Shanghai",
+            },
         )
+    assert resp.status_code == 200, resp.data[:500]
+    payload = resp.get_json()
+    assert payload is not None and "error" not in payload
+    missing = [k for k in CONTRACT_KEYS if k not in payload]
+    assert not missing, f"missing contract keys: {missing}"
+    assert "wyckoff" not in payload
+
+
+def test_analyze_http_wyckoff_opt_in():
+    """include_wyckoff=1 时响应含 wyckoff 约定键；默认不返回。"""
+    from app import app
+    from services.runtime import add_indicators
+
+    df = add_indicators(make_ohlcv(300))
+    df = df.copy()
+    if "timestamp" not in df.columns:
+        df["timestamp"] = (pd.to_datetime(df["date"]).astype("int64") // 10**6).astype("int64")
+
+    with patch("api.analyze.get_kl_data", return_value=df):
+        client = app.test_client()
+        resp = client.get(
+            "/api/analyze",
+            query_string={
+                "symbol": "BTC/USDT:USDT",
+                "timeframe": "5m",
+                "timezone": "Asia/Shanghai",
+                "include_wyckoff": 1,
+            },
         )
-    assert "bi_list" in keys and "seg_list" in keys
+    assert resp.status_code == 200, resp.data[:500]
+    payload = resp.get_json()
+    assert payload is not None and "wyckoff" in payload
+    w = payload["wyckoff"]
+    for k in WYCKOFF_KEYS:
+        assert k in w, f"missing wyckoff key: {k}"
+
+
+def test_analyze_http_wyckoff_skipped_when_elements_only():
+    """elements_only=true 时即使 include_wyckoff=1 也不返回 wyckoff。"""
+    from app import app
+    from services.runtime import add_indicators
+
+    df = add_indicators(make_ohlcv(300))
+    df = df.copy()
+    if "timestamp" not in df.columns:
+        df["timestamp"] = (pd.to_datetime(df["date"]).astype("int64") // 10**6).astype("int64")
+
+    with patch("api.analyze.get_kl_data", return_value=df):
+        client = app.test_client()
+        resp = client.get(
+            "/api/analyze",
+            query_string={
+                "symbol": "BTC/USDT:USDT",
+                "timeframe": "5m",
+                "element_timeframe": "1m",
+                "timezone": "Asia/Shanghai",
+                "elements_only": "true",
+                "include_wyckoff": 1,
+            },
+        )
+    assert resp.status_code == 200, resp.data[:500]
+    payload = resp.get_json()
+    assert payload is not None
+    assert "wyckoff" not in payload

web/tests/test_runtime_facade.py

@@ -0,0 +1,55 @@
+"""ECR-002：runtime 门面公开符号 + 子模块可导入。"""
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[2]
+sys.path.insert(0, str(ROOT))
+sys.path.insert(0, str(ROOT / "web"))
+
+REQUIRED = [
+    "get_kl_data",
+    "analyze_chan",
+    "add_indicators",
+    "serialize_chan_macd_data",
+    "clean_dataframe_for_json",
+    "classify_trend_stage",
+    "refresh_data_service_metadata",
+    "TIMEFRAMES",
+    "SYMBOLS",
+    "_zone_cache",
+    "macd_fast_period",
+    "is_smaller_or_equal_timeframe",
+    "get_uncompleted_seg_list",
+]
+
+
+def test_runtime_facade_exports():
+    from services import runtime as R
+
+    for name in REQUIRED:
+        assert hasattr(R, name), f"missing facade export: {name}"
+
+
+def test_runtime_submodules_importable():
+    from services.runtime import state, timeframes, market_data, indicators, analyze, serialize
+
+    assert state.exchange is not None
+    assert callable(timeframes.timeframe_to_minutes)
+    assert callable(market_data.get_kl_data)
+    assert callable(indicators.add_indicators)
+    assert callable(analyze.analyze_chan)
+    assert callable(serialize.convert_direction)
+
+
+def test_thin_shims_still_reexport():
+    from services import market_data as md
+    from services import chan_analyze as ca
+    from services import serializers as ser
+    from services import timeframes as tf
+
+    assert callable(md.get_kl_data)
+    assert callable(ca.analyze_chan)
+    assert callable(ser.serialize_chan_macd_data)
+    assert callable(tf.timeframe_to_minutes)