Files
Chan/chanlun/analysis/wyckoff/live.py
T
jackyu66gitandCursor 276481e02c feat(ECR-007): Wyckoff Live Structure with Confirmed/Live isolation
Add live.py lifecycle and event candidates; assemble confirmed vs live
in engine; Summary partition; execution_signal source=confirmed only.
Keep strategies untouched; do not lower Confirmed thresholds for Live.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-07 03:14:19 +08:00

259 lines
8.4 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""威科夫 Live / Developing 层(WYCKOFF-LIVE-STRUCTURE-001)。
独立于 Confirmed Engine:不修改 events 确认条件,不写入 confirmed.events。
Execution 不得消费本模块输出。
"""
from __future__ import annotations
from typing import Any, Dict, List, Optional, Set
import numpy as np
import pandas as pd
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 _empty_live() -> Dict[str, Any]:
return {
"lifecycle": "UNKNOWN",
"range_formation": None,
"phase_candidate": None,
"event_candidates": [],
"next_expected": None,
"confidence": {
"cycle": 0.0,
"phase": 0.0,
"event": 0.0,
"structure": 0.0,
"volume": 0.0,
"overall": 0.0,
},
"note": "",
}
def analyze_live_structure(
df: pd.DataFrame,
tr: Optional[Dict[str, Any]],
confirmed_events: Optional[List[Dict[str, Any]]] = None,
confirmed_phases: Optional[List[Dict[str, Any]]] = None,
bias: str = "unknown",
) -> Dict[str, Any]:
"""
基于当前 TradingRange 与已确认事件,推演 Live candidates。
confirmed_* 只读,用于避免重复提示已确认事件,不修改之。
"""
out = _empty_live()
if df is None or len(df) < 20 or tr is None:
out["note"] = "insufficient structure"
return out
confirmed_events = confirmed_events or []
confirmed_phases = confirmed_phases or []
confirmed_types: Set[str] = {str(e.get("type")) for e in confirmed_events if e.get("type")}
s = int(tr["abs_start_idx"])
e = int(tr["abs_end_idx"])
scan_end = int(tr.get("abs_scan_end_idx", len(df) - 1))
scan_end = min(len(df) - 1, max(scan_end, e))
hi = float(tr["high"])
lo = float(tr["low"])
mid = float(tr["mid"])
tol = float(tr.get("tol") or (hi - lo) * 0.05)
atr = float(tr.get("atr") or max((hi - lo) * 0.2, 1e-9))
seg = df.iloc[s : e + 1]
if len(seg) < 8:
out["note"] = "range too short"
return out
# —— Range Formation(横盘 / 波动收敛)——
closes = seg["close"].astype(float)
highs = seg["high"].astype(float)
lows = seg["low"].astype(float)
vols = seg["volume"].astype(float) if "volume" in seg.columns else pd.Series([1.0] * len(seg))
half = max(4, len(seg) // 2)
vol_early = float(np.std(closes.iloc[:half])) if half > 1 else 0.0
vol_late = float(np.std(closes.iloc[-half:])) if half > 1 else 0.0
width = hi - lo
width_atr = width / atr if atr > 0 else 99.0
converging = vol_early > 1e-12 and vol_late < vol_early * 0.85
range_ok = 1.2 <= width_atr <= 10.0 and len(seg) >= 16
structure_score = 0.35
if range_ok:
structure_score += 0.25
if converging:
structure_score += 0.2
if width_atr <= 6.0:
structure_score += 0.1
structure_score = float(min(0.95, structure_score))
out["range_formation"] = {
"potential_trading_range": bool(range_ok),
"converging": bool(converging),
"width_atr": round(width_atr, 3),
"bars": int(len(seg)),
}
# —— 最近 K 形态(Phase C / Event candidates)——
i = scan_end
row = df.iloc[i]
o = float(row["open"])
h = float(row["high"])
l = float(row["low"])
c = float(row["close"])
rng = max(h - l, 1e-9)
lower_wick = min(o, c) - l
upper_wick = h - max(o, c)
avg_v = _avg_vol(df, i)
vol = float(row["volume"]) if "volume" in df.columns else avg_v
vol_ratio = vol / avg_v if avg_v else 1.0
volume_score = float(np.clip(1.1 - abs(vol_ratio - 1.0) * 0.35, 0.2, 0.95))
phase_candidate = None
phase_conf = 0.0
# Phase C:测低 + 下影 + 缩量(吸筹语境)
near_lo = l <= lo + tol * 1.2
test_low = l < mid and lower_wick >= rng * 0.35
vol_contract = vol_ratio <= 1.05
if bias != "distribution" and near_lo and test_low and vol_contract:
phase_candidate = "C"
phase_conf = 0.55 + (0.1 if lower_wick >= rng * 0.5 else 0) + (0.08 if vol_ratio < 0.9 else 0)
# Phase D 候选:价格在箱上半、有上破意图但未确认 SOS
elif c >= mid and (h >= hi - tol or c > hi - tol * 0.5):
phase_candidate = "D"
phase_conf = 0.5 + (0.1 if c > mid else 0)
elif c < mid and (l <= lo + tol):
phase_candidate = "B"
phase_conf = 0.45
# 已有 confirmed phase 时,candidate 取「下一阶段」提示,不覆盖事实
confirmed_phase_set = {str(p.get("phase")) for p in confirmed_phases}
if "E" in confirmed_phase_set:
phase_candidate = phase_candidate or "E"
phase_conf = max(phase_conf, 0.7)
elif "D" in confirmed_phase_set and phase_candidate is None:
phase_candidate = "D"
phase_conf = max(phase_conf, 0.65)
out["phase_candidate"] = phase_candidate
phase_conf = float(min(0.92, phase_conf))
# —— Event candidates(仅 Spring / SOS / LPS / UTAD)——
candidates: List[Dict[str, Any]] = []
def _add(typ: str, conf: float, note: str) -> None:
if typ in confirmed_types:
return # 已确认则不再作为 candidate
candidates.append(
{
"type": typ,
"confidence": round(float(min(0.9, conf)), 3),
"confirmed": False,
"note": note,
}
)
# Spring candidate:刺破或贴近下沿,收盘收回,但未达 Confirmed 规则(或不在 confirmed
pierce_lo = l < lo - tol * 0.15
close_back = c >= lo - tol * 0.5
if pierce_lo and close_back:
_add("Spring", 0.5 + (0.12 if vol_ratio <= 1.2 else 0) + (0.08 if close_back else 0), "假破下沿收回(未确认)")
elif l <= lo + tol * 0.35 and close_back and lower_wick >= rng * 0.4:
_add("Spring", 0.45 + (0.1 if vol_contract else 0), "测下沿长下影(未确认)")
# UTAD candidate
pierce_hi = h > hi + tol * 0.15
close_back_dn = c <= hi + tol * 0.5
if pierce_hi and close_back_dn:
_add("UTAD", 0.5 + (0.1 if vol_ratio >= 0.9 else 0), "假破上沿跌回(未确认)")
# SOS candidate:接近/轻破上沿,量能一般,未确认
if c > hi - tol * 0.4 or h >= hi:
sos_conf = 0.48 + (0.12 if c > hi else 0) + (0.1 if vol_ratio >= 1.05 else 0)
_add("SOS", sos_conf, "上破/逼近箱顶(未确认)")
# LPS candidate:站上 mid/上沿带后回踩
if c >= mid and l >= mid - tol * 1.5 and l > lo + (hi - lo) * 0.25:
_add("LPS", 0.46 + (0.1 if vol_ratio <= 1.0 else 0), "箱内上沿带回踩(未确认)")
candidates.sort(key=lambda x: x["confidence"], reverse=True)
out["event_candidates"] = candidates[:4]
event_score = float(candidates[0]["confidence"]) if candidates else 0.25
# next_expected(简规则)
next_exp = None
if "Spring" in confirmed_types and "SOS" not in confirmed_types:
next_exp = "SOS"
elif "SOS" in confirmed_types and "LPS" not in confirmed_types:
next_exp = "LPS"
elif "UTAD" in confirmed_types and "SOW" not in confirmed_types:
next_exp = "SOW"
elif any(c["type"] == "Spring" for c in candidates):
next_exp = "Test"
elif any(c["type"] == "SOS" for c in candidates):
next_exp = "LPS"
out["next_expected"] = next_exp
# —— lifecycle ——
key_confirmed = confirmed_types & {"Spring", "SOS", "UTAD", "SOW", "LPS", "LPSY"}
if key_confirmed:
lifecycle = "CONFIRMED"
elif range_ok or phase_candidate or candidates:
lifecycle = "FORMING"
else:
lifecycle = "UNKNOWN"
out["lifecycle"] = lifecycle
cycle_c = structure_score
overall = 0.35 * cycle_c + 0.25 * phase_conf + 0.25 * event_score + 0.15 * volume_score
out["confidence"] = {
"cycle": round(cycle_c, 3),
"phase": round(phase_conf, 3),
"event": round(event_score, 3),
"structure": round(structure_score, 3),
"volume": round(volume_score, 3),
"overall": round(float(overall), 3),
}
parts = []
if out["range_formation"]["potential_trading_range"]:
parts.append("Potential TR")
if phase_candidate:
parts.append(f"Phase {phase_candidate} candidate")
if candidates:
parts.append(f"{candidates[0]['type']} candidate")
out["note"] = "; ".join(parts) if parts else "observing"
return out
def execution_signal_from_wyckoff(payload: Dict[str, Any]) -> Optional[Dict[str, Any]]:
"""
Execution 边界:只允许 Confirmed。
返回 source='confirmed' 的信号描述;Live-only 时返回 None。
"""
if not payload:
return None
cycles = payload.get("cycles") or []
active = cycles[0] if cycles else None
events = []
if active and isinstance(active.get("confirmed"), dict):
events = list(active["confirmed"].get("events") or [])
if not events:
# 兼容旧顶层 events(均为 confirmed 镜像)
events = list(payload.get("events") or [])
if not events:
return None
last = events[-1]
return {
"source": "confirmed",
"type": last.get("type"),
"time": last.get("time"),
"lifecycle": (active or {}).get("lifecycle") or "CONFIRMED",
}