refactor: 精简仓库为 chanlun 核心与 web 分析,移除威科夫与遗留模块
删除根目录旧 Chan 模块、策略、配置、文档及 wyckoff 相关代码;更新缠论 pipeline 与笔中枢计算;补充 research 研究与 web 测试。 Co-authored-by: Cursor <cursoragent@cursor.com>
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"""快速三类买卖点:不等笔确认,突破回抽当根即入场。
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引擎的 B3/S3 要等 pullback_bi.sure_time(回拉笔被确认),滞后 9~10 根,
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此时价格已从回抽低点反弹完毕,入场价被吃掉。
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但三买的形态条件本身是实时可判的:
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中枢已成 -> 收盘突破 zg -> 回抽最低不跌回中枢(low >= zg) -> 重新上行
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最后一步发生的当根就能下单,滞后 1~2 根。
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全部判定只使用当根及之前的数据,无未来函数。
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"""
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from __future__ import annotations
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import numpy as np
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import pandas as pd
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def find_fast_bsp3(
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df: pd.DataFrame,
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zones: pd.DataFrame,
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scan: int = 200,
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pullback_win: int = 30,
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tol: float = 0.003,
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max_per_zone: int = 1,
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diag: dict | None = None,
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) -> pd.DataFrame:
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"""扫描每个中枢,找突破后回抽不回中枢的入场点。
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zones 需含 zg / zd / available_ts,且 available_ts 已是可用时刻。
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max_per_zone > 1 时,同一中枢在首次入场后继续往后找二次、三次突破回抽,
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用来检验「趋势里同一中枢反复给机会」是否值得做。
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返回列:
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entry_idx 实时可下单的K线
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direction +1 三买 / -1 三卖
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bo_idx 突破根
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pb_idx 回抽极值根
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lag entry_idx - bo_idx
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depth 回抽深度(相对中枢边界,负值表示曾插入中枢)
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occ 这是该中枢的第几次入场
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"""
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if zones.empty:
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return pd.DataFrame()
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ts = df["timestamp"].to_numpy()
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close = df["close"].to_numpy(dtype=float)
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high = df["high"].to_numpy(dtype=float)
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low = df["low"].to_numpy(dtype=float)
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n = len(df)
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rows = []
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def note(key: str) -> None:
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if diag is not None:
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diag[key] = diag.get(key, 0) + 1
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for zone_i, (_, z) in enumerate(zones.iterrows()):
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note("中枢总数")
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zg, zd = float(z["zg"]), float(z["zd"])
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if zg <= zd:
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note("×无效中枢")
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continue
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start = int(np.searchsorted(ts, z["available_ts"], side="left"))
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if start >= n - 2:
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note("×中枢太靠后")
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continue
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# 允许多次入场时按比例放宽扫描窗口,否则后几次机会会被窗口截断
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scan_end = min(start + scan * max_per_zone, n)
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cursor = start
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for occ in range(1, max_per_zone + 1):
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if cursor >= n - 2:
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break
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# 第一步:找突破。要求突破前确实待在中枢内,避免把远处的价格当突破。
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was_inside = False
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bo_idx, d = None, 0
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for j in range(cursor, scan_end):
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c = close[j]
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if zd <= c <= zg:
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was_inside = True
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continue
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if not was_inside:
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continue
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bo_idx, d = j, (1 if c > zg else -1)
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break
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if bo_idx is None:
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if occ == 1:
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note("×窗口内未突破")
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break
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edge = zg if d == 1 else zd
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# 第二步:突破后监控回抽,回抽不跌回中枢且重新顺势 -> 入场
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touched = False
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pb_idx = None
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pb_ext = None
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entry_idx = None
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fell_back = False
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for j in range(bo_idx + 1, min(bo_idx + pullback_win + 1, n)):
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# 收盘跌回中枢 -> 突破失效
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if zd <= close[j] <= zg:
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fell_back = True
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break
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# 回抽触及边界附近(允许 tol 的毛刺)
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near = (low[j] <= edge * (1 + tol)) if d == 1 else (high[j] >= edge * (1 - tol))
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if near:
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touched = True
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ext = low[j] if d == 1 else high[j]
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if pb_ext is None or ((ext < pb_ext) if d == 1 else (ext > pb_ext)):
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pb_ext, pb_idx = ext, j
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continue
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# 回抽后重新顺势:收盘创出前一根之上(三买)/ 之下(三卖)
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if touched and pb_idx is not None:
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go = close[j] > high[j - 1] if d == 1 else close[j] < low[j - 1]
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if go:
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entry_idx = j
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break
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if entry_idx is None or pb_ext is None:
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if occ == 1:
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note("×突破后跌回中枢" if fell_back
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else "×回抽未触及边界" if not touched
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else "×触及边界但未转强")
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# 这次突破没走成,从突破点之后继续找下一次
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cursor = bo_idx + 1
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continue
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if occ == 1:
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note("√成交")
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# 回抽深度:>0 表示未插入中枢,越大表示回抽越浅
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depth = (pb_ext - zg) / zg if d == 1 else (zd - pb_ext) / zd
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rows.append({
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"entry_idx": entry_idx, "direction": d,
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"bo_idx": bo_idx, "pb_idx": pb_idx,
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"lag": entry_idx - bo_idx,
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"depth": depth,
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"zg": zg, "zd": zd,
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"width_pct": (zg - zd) / close[bo_idx],
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"occ": occ,
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"zone_i": zone_i,
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})
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cursor = entry_idx + 1
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return pd.DataFrame(rows)
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