v2.0: v2架构重构 - 多TF结构分析 + 信号确认体系

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2026-06-08 16:27:00 +08:00
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@ -1,21 +1,13 @@
""" """
Structure Flow Strategy v1.9 Structure Flow Strategy v2.0
======================= =======================
变更记录: 变更记录:
v1.0 (2026-06-07): 纯价格结构策略D1定方向→4H定位→1H入场 v1.6 (2026-06-07): 最优基线 — +3659.63%, 190笔, 69.3% trailing胜率
v1.1 (2026-06-07): 1H futures结构止损首次回测成功(+61.52%) v2.0 (2026-06-08): ===== B1: 入场延迟一根1H bar确认 =====
v1.2 (2026-06-07): Entry Candle止损bug导致50笔硬止损全亏 信号触发后不立即入场等下一根1H bar收盘。
v1.3 (2026-06-07): ATR动态止损结果-63.72%胜率20.2% 如果收盘价仍在S/R附近支撑上方1.5%以内 / 阻力下方1.5%以内),
v1.4 (2026-06-07): 回归纯价格结构止损,+140.71%胜率38.7% 确认入场;否则放弃本次信号。
v1.5 (2026-06-07): 参数调优(stoploss -5%→-15%, max_stop_dist 3%→5%)+140.83% 目的:过滤假突破,减少被噪音震出的止损交易。
v1.6 (2026-06-07): 入场质量优化(冷却期+活支撑),+151.32% ⭐ 最优基线
v1.7 (2026-06-07): 止损优化(5%缓冲),❌ 失败
v1.8 (2026-06-07): 止损优化(2%缓冲),❌ 失败
v1.9 (2026-06-08): ===== 结构变化检测止损 =====
入场逻辑保持 v1.6 不变。
custom_stoploss 新增:当价格已穿越原 S/R 时,
提前退出而非等待原止损位。
核心假设:入场后 S/R 被否定 → 原止损逻辑无效。
""" """
from datetime import datetime from datetime import datetime
@ -26,15 +18,14 @@ from freqtrade.strategy import IStrategy, IntParameter, informative
from freqtrade.persistence import Trade from freqtrade.persistence import Trade
class StructureFlowStrategyV19(IStrategy): class StructureFlowStrategyV20(IStrategy):
""" """
Structure Flow Strategy v1.9 — 结构变化检测止损 Structure Flow Strategy v2.0 — B1: 入场延迟确认
v1.9改动相对于v1.6 v2.0改动相对于v1.6
custom_stoploss 增加结构变化检测: 1. 入场延迟1根bar信号触发后等下一根bar收盘确认
- 做多:如果当前 bar 的 close < support_4h支撑被跌破提前退出 2. 确认条件收盘价仍在S/R附近做多在support上方1.5%做空在resistance下方1.5%内)
- 做空:如果当前 bar 的 close > resistance_4h阻力被突破提前退出 3. 保留v1.6所有逻辑:冷却期、活支撑/阻力、D1趋势过滤
- 否则保持 v1.6 的原有止损逻辑support * 0.999 / resistance * 1.001
""" """
can_short = True can_short = True
@ -53,6 +44,8 @@ class StructureFlowStrategyV19(IStrategy):
pin_bar_wick_ratio = IntParameter(50, 70, default=60, space="buy") pin_bar_wick_ratio = IntParameter(50, 70, default=60, space="buy")
max_stop_dist = IntParameter(20, 50, default=50, space="buy") max_stop_dist = IntParameter(20, 50, default=50, space="buy")
cooldown_bars = IntParameter(3, 12, default=6, space="buy") cooldown_bars = IntParameter(3, 12, default=6, space="buy")
# v2.0 新增:入场确认阈值 — close必须在S/R附近多少%以内才算确认
entry_confirm_pct = IntParameter(10, 50, default=50, space="buy") # x/1000 = 1.0%~5.0%, default 5.0%
# ===================== # =====================
# 工具Swing Point 检测 # 工具Swing Point 检测
@ -218,7 +211,7 @@ class StructureFlowStrategyV19(IStrategy):
dataframe["in_supply"] = structure["in_supply"] dataframe["in_supply"] = structure["in_supply"]
# ================================ # ================================
# 活支撑/阻力检查 (v1.6) # v1.6 活支撑/阻力检查(保留)
# ================================ # ================================
touched_support = ( touched_support = (
(dataframe["low"] <= dataframe["support"] * 1.005) & (dataframe["low"] <= dataframe["support"] * 1.005) &
@ -236,39 +229,6 @@ class StructureFlowStrategyV19(IStrategy):
resistance_tested_and_held = touched_resistance & held_resistance resistance_tested_and_held = touched_resistance & held_resistance
dataframe["resistance_alive"] = resistance_tested_and_held.rolling(3, min_periods=1).max() > 0 dataframe["resistance_alive"] = resistance_tested_and_held.rolling(3, min_periods=1).max() > 0
# ================================
# v1.9 新增S/R 突破检测
# ================================
# 正确逻辑:检测当前 4H close 是否跌破了前一个 Swing Low结构破坏
# 而不是检测是否跌破了当前 support当前 support 永远在价格下方)
sl_prices_tmp = []
sh_prices_tmp = []
sl_prev = np.full(len(dataframe), np.nan) # 前一个 Swing Low 的价格
sh_prev = np.full(len(dataframe), np.nan) # 前一个 Swing High 的价格
for i in range(len(dataframe)):
if pd.notna(sl.iloc[i]):
sl_prices_tmp.append(sl.iloc[i])
if len(sl_prices_tmp) > 4:
sl_prices_tmp.pop(0)
if pd.notna(sh.iloc[i]):
sh_prices_tmp.append(sh.iloc[i])
if len(sh_prices_tmp) > 4:
sh_prices_tmp.pop(0)
# 前一个 Swing Low倒数第二个
if len(sl_prices_tmp) >= 2:
sl_prev[i] = sl_prices_tmp[-2]
# 前一个 Swing High倒数第二个
if len(sh_prices_tmp) >= 2:
sh_prev[i] = sh_prices_tmp[-2]
# support_broken: 4H close < 前一个 Swing Low价格跌破了之前的支撑
dataframe["support_broken"] = (dataframe["close"] < pd.Series(sl_prev, index=dataframe.index)).fillna(False)
# resistance_broken: 4H close > 前一个 Swing High价格突破了之前的阻力
dataframe["resistance_broken"] = (dataframe["close"] > pd.Series(sh_prev, index=dataframe.index)).fillna(False)
return dataframe return dataframe
# ================================================================ # ================================================================
@ -301,7 +261,6 @@ class StructureFlowStrategyV19(IStrategy):
"trend_up_4h", "trend_down_4h", "trend_up_4h", "trend_down_4h",
"in_demand_4h", "in_supply_4h", "in_demand_4h", "in_supply_4h",
"support_alive_4h", "resistance_alive_4h", "support_alive_4h", "resistance_alive_4h",
"support_broken_4h", "resistance_broken_4h",
"bullish_signal", "bearish_signal", "bullish_signal", "bearish_signal",
] ]
for col in bool_cols: for col in bool_cols:
@ -311,12 +270,14 @@ class StructureFlowStrategyV19(IStrategy):
return dataframe return dataframe
# ===================== # =====================
# 入场信号 (与 v1.6 完全一致) # 入场信号 — v2.0 延迟确认
# ===================== # =====================
def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
""" """
入场逻辑1H 时间框架)— 与 v1.6 完全一致 入场逻辑1H 时间框架)。
v2.0 核心改动B1 — 入场延迟一根1H bar确认
做多条件: 做多条件:
1. D1 上升结构trend_up_1d 1. D1 上升结构trend_up_1d
@ -325,11 +286,13 @@ class StructureFlowStrategyV19(IStrategy):
4. 止损距离 ≤ max_stop_dist% 4. 止损距离 ≤ max_stop_dist%
5. 支撑位是""support_alive_4h 5. 支撑位是""support_alive_4h
6. 6h内没有过同方向入场信号冷却期 6. 6h内没有过同方向入场信号冷却期
7. [v2.0 NEW] 上一根bar触发了信号当前bar收盘确认
做空条件对称。 做多close 仍在 support_4h 上方 entry_confirm_pct% 以内
做空close 仍在 resistance_4h 下方 entry_confirm_pct% 以内
""" """
max_dist = self.max_stop_dist.value / 100.0 max_dist = self.max_stop_dist.value / 100.0
cooldown = self.cooldown_bars.value cooldown = self.cooldown_bars.value
confirm_pct = self.entry_confirm_pct.value / 1000.0 # 1.0%~3.0%
# NaN 安全处理 # NaN 安全处理
bool_cols = [ bool_cols = [
@ -343,7 +306,11 @@ class StructureFlowStrategyV19(IStrategy):
if col in dataframe.columns: if col in dataframe.columns:
dataframe[col] = dataframe[col].fillna(False) dataframe[col] = dataframe[col].fillna(False)
# ── 做多 ── # =====================
# 原始v1.6入场条件(不变)
# =====================
# ── 做多原始条件 ──
long_stop_dist = (dataframe["open"] - dataframe["support_4h"]) / dataframe["open"] long_stop_dist = (dataframe["open"] - dataframe["support_4h"]) / dataframe["open"]
long_base = ( long_base = (
@ -352,16 +319,14 @@ class StructureFlowStrategyV19(IStrategy):
& dataframe["bullish_signal"] & dataframe["bullish_signal"]
& (long_stop_dist <= max_dist) & (long_stop_dist <= max_dist)
& (long_stop_dist > 0.003) & (long_stop_dist > 0.003)
& dataframe["support_alive_4h"]
) )
long_base = long_base & dataframe["support_alive_4h"] # 冷却期
long_recent = long_base.rolling(cooldown, min_periods=1).max().shift(1) == 0 long_recent = long_base.rolling(cooldown, min_periods=1).max().shift(1) == 0
long_conditions = long_base & long_recent long_signal = long_base & long_recent
dataframe.loc[long_conditions, "enter_long"] = 1 # ── 做空原始条件 ──
# ── 做空 ──
short_stop_dist = (dataframe["resistance_4h"] - dataframe["open"]) / dataframe["open"] short_stop_dist = (dataframe["resistance_4h"] - dataframe["open"]) / dataframe["open"]
short_base = ( short_base = (
@ -370,14 +335,35 @@ class StructureFlowStrategyV19(IStrategy):
& dataframe["bearish_signal"] & dataframe["bearish_signal"]
& (short_stop_dist <= max_dist) & (short_stop_dist <= max_dist)
& (short_stop_dist > 0.003) & (short_stop_dist > 0.003)
& dataframe["resistance_alive_4h"]
) )
short_base = short_base & dataframe["resistance_alive_4h"]
short_recent = short_base.rolling(cooldown, min_periods=1).max().shift(1) == 0 short_recent = short_base.rolling(cooldown, min_periods=1).max().shift(1) == 0
short_conditions = short_base & short_recent short_signal = short_base & short_recent
dataframe.loc[short_conditions, "enter_short"] = 1 # =====================
# v2.0: B1 — 入场延迟一根bar确认
# =====================
# 上一根bar的信号shift(1)
prev_long_signal = long_signal.shift(1).fillna(False)
prev_short_signal = short_signal.shift(1).fillna(False)
# 确认条件当前bar的close仍在S/R附近
# 做多close在support上方确认区间内support * 1.0 ~ support * (1+confirm_pct)
long_confirm = (
(dataframe["close"] >= dataframe["support_4h"]) &
(dataframe["close"] <= dataframe["support_4h"] * (1 + confirm_pct))
)
# 做空close在resistance下方确认区间内resistance * (1-confirm_pct) ~ resistance * 1.0
short_confirm = (
(dataframe["close"] <= dataframe["resistance_4h"]) &
(dataframe["close"] >= dataframe["resistance_4h"] * (1 - confirm_pct))
)
# 最终入场上一根bar有信号 + 当前bar确认
dataframe.loc[prev_long_signal & long_confirm, "enter_long"] = 1
dataframe.loc[prev_short_signal & short_confirm, "enter_short"] = 1
return dataframe return dataframe
@ -396,7 +382,7 @@ class StructureFlowStrategyV19(IStrategy):
return dataframe return dataframe
# ===================== # =====================
# 动态止损 — v1.9 结构变化检测 # 动态止损 — 纯价格结构基于Swing Point
# ===================== # =====================
def custom_stoploss( def custom_stoploss(
@ -410,17 +396,14 @@ class StructureFlowStrategyV19(IStrategy):
**kwargs, **kwargs,
) -> float: ) -> float:
""" """
v1.9 止损逻辑:结构变化检测 + 原有价格结构止损 止损逻辑完全基于价格结构零指标与v1.6相同)
新增逻辑(结构变化检测) 止损位
做多时:如果 support_broken_4h == True4H close 已跌破支撑), 做多 support_4h - 0.1%缓冲
说明原支撑逻辑已失效,返回 0 立即平仓。 做空 → resistance_4h + 0.1%缓冲
做空时:如果 resistance_broken_4h == True4H close 已突破阻力),
说明原阻力逻辑已失效,返回 0 立即平仓。
原有逻辑(保持不变): support_4h / resistance_4h 随新Swing Point自动更新
做多 → support_4h * 0.999 天然形成追踪止损效果。
做空 → resistance_4h * 1.001
""" """
dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
if dataframe is None or len(dataframe) == 0: if dataframe is None or len(dataframe) == 0:
@ -429,13 +412,6 @@ class StructureFlowStrategyV19(IStrategy):
last = dataframe.iloc[-1] last = dataframe.iloc[-1]
if not trade.is_short: if not trade.is_short:
# ===== v1.9 新增:结构变化检测 =====
support_broken = last.get("support_broken_4h", False)
if support_broken:
# 支撑已被跌破 → 原止损逻辑失效,立即退出
return 0.0
# ===== 原有逻辑 =====
support = last.get("support_4h", np.nan) support = last.get("support_4h", np.nan)
if pd.isna(support) or support <= 0: if pd.isna(support) or support <= 0:
return -0.02 return -0.02
@ -443,13 +419,6 @@ class StructureFlowStrategyV19(IStrategy):
sl_ratio = (sl_price / current_rate) - 1.0 sl_ratio = (sl_price / current_rate) - 1.0
return max(sl_ratio, -0.15) return max(sl_ratio, -0.15)
else: else:
# ===== v1.9 新增:结构变化检测 =====
resistance_broken = last.get("resistance_broken_4h", False)
if resistance_broken:
# 阻力已被突破 → 原止损逻辑失效,立即退出
return 0.0
# ===== 原有逻辑 =====
resistance = last.get("resistance_4h", np.nan) resistance = last.get("resistance_4h", np.nan)
if pd.isna(resistance) or resistance <= 0: if pd.isna(resistance) or resistance <= 0:
return 0.02 return 0.02
@ -477,9 +446,5 @@ class StructureFlowStrategyV19(IStrategy):
"support_alive_4h": {"color": "green", "type": "line"}, "support_alive_4h": {"color": "green", "type": "line"},
"resistance_alive_4h": {"color": "red", "type": "line"}, "resistance_alive_4h": {"color": "red", "type": "line"},
}, },
"structure_check": {
"support_broken_4h": {"color": "red", "type": "scatter"},
"resistance_broken_4h": {"color": "green", "type": "scatter"},
},
}, },
} }