fix(web): 自动刷新保留 K 线视窗;威科夫与图表增量更新

自动刷新改用 tail update 与 scrollToPosition 恢复视窗,避免 setData 后跳到最右;拆分 chart_tv 模块并扩展 analyze/recent API。同步威科夫分析、pipeline 增量构建及相关策略与配置。

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
jackyu66git
2026-08-25 22:57:43 +08:00
co-authored by Cursor
parent 1e60ab3bfa
commit 8ee11317d3
104 changed files with 21452 additions and 4988 deletions
+163
View File
@@ -0,0 +1,163 @@
"""Phase AE rules (primarily weekly)."""
from __future__ import annotations
from typing import Any
from crypto_wyckoff.domain_models import WyckoffCycle, WyckoffPhase
from crypto_wyckoff.rules.base import RuleHit, WyckoffRule
def _f(ctx: dict[str, Any], key: str, default: float = 0.0) -> float:
v = ctx.get("features", {}).get(key, default)
try:
return float(v) if v is not None else default
except (TypeError, ValueError):
return default
def _cycle(ctx: dict[str, Any]) -> str:
return (ctx.get("cycle") or {}).get("cycle") or WyckoffCycle.UNKNOWN.value
class PhaseARule(WyckoffRule):
rule_id = "phase_a"
category = "phase"
timeframes = ("1w", "1d")
def evaluate(self, context: dict[str, Any]) -> RuleHit | None:
cycle = _cycle(context)
if cycle not in (WyckoffCycle.ACCUMULATION.value, WyckoffCycle.DISTRIBUTION.value,
WyckoffCycle.RE_ACCUMULATION.value, WyckoffCycle.RE_DISTRIBUTION.value):
return None
# Stopping action: high vol + large range recently, still range-bound
vol_ratio = _f(context, "volume_ratio")
range_last = _f(context, "bar_range_atr")
if vol_ratio >= 1.4 and range_last >= 1.2:
return RuleHit(
rule_id=self.rule_id,
phase=WyckoffPhase.A.value,
confidence=70.0,
score=65.0,
reasons=["放量宽幅波动,疑似 Phase A 停止行为"],
)
return None
class PhaseBRule(WyckoffRule):
rule_id = "phase_b"
category = "phase"
timeframes = ("1w", "1d")
def evaluate(self, context: dict[str, Any]) -> RuleHit | None:
cycle = _cycle(context)
if cycle not in (WyckoffCycle.ACCUMULATION.value, WyckoffCycle.DISTRIBUTION.value):
return None
adx = _f(context, "adx")
range_pct = _f(context, "range_pct_60")
pos = _f(context, "range_position") # 0=low 1=high of range
if adx < 20 and 0.25 < pos < 0.75 and range_pct < 0.30:
return RuleHit(
rule_id=self.rule_id,
phase=WyckoffPhase.B.value,
confidence=72.0,
score=68.0,
reasons=["区间中部震荡,疑似 Phase B 建仓/派发"],
)
return None
class PhaseCRule(WyckoffRule):
rule_id = "phase_c"
category = "phase"
timeframes = ("1w", "1d")
def evaluate(self, context: dict[str, Any]) -> RuleHit | None:
cycle = _cycle(context)
pos = _f(context, "range_position")
spring_like = _f(context, "spring_score_hint")
utad_like = _f(context, "utad_score_hint")
if cycle in (WyckoffCycle.ACCUMULATION.value, WyckoffCycle.RE_ACCUMULATION.value):
if pos < 0.25 or spring_like >= 50:
return RuleHit(
rule_id=self.rule_id,
phase=WyckoffPhase.C.value,
confidence=75.0 + min(15.0, spring_like * 0.15),
score=78.0,
reasons=["区间低位测试,疑似 Phase C (Spring/Test)"],
)
if cycle in (WyckoffCycle.DISTRIBUTION.value, WyckoffCycle.RE_DISTRIBUTION.value):
if pos > 0.75 or utad_like >= 50:
return RuleHit(
rule_id=self.rule_id,
phase=WyckoffPhase.C.value,
confidence=75.0,
score=78.0,
reasons=["区间高位测试,疑似 Phase C (UTAD)"],
)
return None
class PhaseDRule(WyckoffRule):
rule_id = "phase_d"
category = "phase"
timeframes = ("1w", "1d")
def evaluate(self, context: dict[str, Any]) -> RuleHit | None:
cycle = _cycle(context)
close = _f(context, "close")
ma20 = _f(context, "ma20")
range_high = _f(context, "range_high")
range_low = _f(context, "range_low")
vol_ratio = _f(context, "volume_ratio")
if cycle in (WyckoffCycle.ACCUMULATION.value, WyckoffCycle.RE_ACCUMULATION.value):
if close > ma20 and range_high > 0 and close >= range_high * 0.98 and vol_ratio >= 1.1:
return RuleHit(
rule_id=self.rule_id,
phase=WyckoffPhase.D.value,
confidence=80.0,
score=82.0,
reasons=["突破区间上沿放量,疑似 Phase D SOS"],
)
if cycle in (WyckoffCycle.DISTRIBUTION.value, WyckoffCycle.RE_DISTRIBUTION.value):
if close < ma20 and range_low > 0 and close <= range_low * 1.02:
return RuleHit(
rule_id=self.rule_id,
phase=WyckoffPhase.D.value,
confidence=80.0,
score=82.0,
reasons=["跌破区间下沿,疑似 Phase D SOW"],
)
return None
class PhaseERule(WyckoffRule):
rule_id = "phase_e"
category = "phase"
timeframes = ("1w", "1d")
def evaluate(self, context: dict[str, Any]) -> RuleHit | None:
cycle = _cycle(context)
# Markup/Markdown already imply trend continuation (Phase E of prior structure)
if cycle == WyckoffCycle.MARKUP.value:
return RuleHit(
rule_id=self.rule_id,
phase=WyckoffPhase.E.value,
confidence=78.0,
score=80.0,
reasons=["趋势上行,对应 Phase E Markup"],
)
if cycle == WyckoffCycle.MARKDOWN.value:
return RuleHit(
rule_id=self.rule_id,
phase=WyckoffPhase.E.value,
confidence=78.0,
score=80.0,
reasons=["趋势下行,对应 Phase E Markdown"],
)
return None
def build_rules() -> list[WyckoffRule]:
# More specific phases first
return [PhaseDRule(), PhaseCRule(), PhaseARule(), PhaseBRule(), PhaseERule()]