添加新的判断

This commit is contained in:
jackyu66git
2026-02-08 14:19:52 +08:00
parent fe4486972d
commit b9c11b6163
5 changed files with 220 additions and 16 deletions
+88 -9
View File
@@ -18,12 +18,23 @@ from typing import Optional
import logging
logger = logging.getLogger(__name__)
"""
使用EMA周期52
1. 检查当前price是否穿越,如果穿越时,MACD也是归零轴反转,则开仓
2. 接近某个EMA周期后反转,此时MACD归零轴反转,则开仓
止损放到顶底分型的高低点
1. 从大周期开始找到价格接近ema52MACD也接近零轴的周期,需要看这个周期的长级别是否高位空,大趋势方向
2. 然后去小于这个时间周期的周期找买卖点,小级趋势方向和大趋势相反并且开始反向,小级别需要检查MACD是否归零轴反转,同时价格是否接近EMA52
大周期:1h
小周期:15m30m
大周期EMA156以下找做空机会
找到最近的中枢,中枢下跌以后穿过EMA156,EMA52均线,形成死叉,macd黄白线穿越0轴
EMA24EMA52EMA104EMA156成下跌趋势依次排列(EMA156 > EMA104 > EMA52 > EMA24
做空
1. 做空开始点位条件:
确定下跌周期,价格在大于大周期的时间周期找到MACD归零轴+EMA52阻力线,按照K线动能理论,小周期确认是否背驰,背驰则开仓并且MACD穿零轴
止损放到最近的顶分型高点或者价格突破EMA156
2. 开始点位止盈策略
计算盈亏比方式:至少1:2,到达1:2后平仓一半,移动止损到开仓价,1:3再平仓剩下的一半仓位,依次类推
如果大周期遇到底背离可以平完所有仓位
3. 加仓点位
小周期顶分型+价格接近或突破大周期EMA24但是不突破EMA52后下跌可以加仓到最大仓位+大周期黄白线归零轴/小周期顶分型+小周期EMA52归零轴
大周期顶分型+大周期macd归零轴可以加仓到最大仓位
大周期顶分型或顶分型后,macd穿零轴后价格和macd红绿柱背驰可以加仓到最大仓位
小周期顶分型+大周期macd归零轴
"""
### Now you can use logger.info('asfd') to log
@@ -31,7 +42,7 @@ logger = logging.getLogger(__name__)
# freqtrade trade -c ./user_data/Chan/config/ChanLun_EMA52.json --strategy ChanLun_EMA52 --strategy-path ./user_data/Chan/strategies
# freqtrade backtesting -c ./user_data/Chan/config/ChanLun_EMA52.json --strategy ChanLun_EMA52 --strategy-path ./user_data/Chan/strategies --timerange=20260101-
# freqtrade download-data -c ./user_data/Chan/config/ChanLun_EMA52.json -t 1m 1m 1h 1d 1M --pairs BTC/USDT:USDT --timerange=20250405-
# freqtrade download-data -c ./user_data/Chan/config/ChanLun_EMA52.json -t 1m 1m 1h 1d 1w 1M --pairs BTC/USDT:USDT --timerange=20240101-
# freqtrade download-data -c ./user_data/Chan/config/ChanLun_EMA52.json -t 1m 1h 1d 1M --pairs BTC/USDT --timerange=20170101-
# freqtrade hyperopt --hyperopt-loss SharpeHyperOptLossDaily --spaces roi --strategy ChanLun_EMA52 --strategy-path ./user_data/Chan/strategies -c ./user_data/Chan/config/ChanLun_EMA52.json -e 200 --timerange=20250201-20250901
# freqtrade edge -c ./user_data/Chan/config/ChanLun_EMA52.json --strategy ChanLun_EMA52 --strategy-path ./user_data/Chan/strategies --timerange 20250721-20250901
@@ -122,13 +133,83 @@ class ChanLun_EMA52(IStrategy):
logger.info("Date: " + date.strftime('%Y-%m-%d %H:%M:%S') + " Price: " + str(last_price) + " EMA52_list: " + str(tf_ema52_list) + " MACD: " + macdstr)
dataframe = resampled_merge(dataframe, long_df)
#print(dataframe.iloc[-1])
return dataframe
def ema_dir(self, dataframe):
"""
趋势方向综合判断,分为三个维度:
1. ema_dir: 主趋势方向 (基于MACD零轴 + 价格与EMA52/EMA156关系)
- 3: 强多(价格在EMA156上方 + MACD在零轴上方 + 价格在EMA24上方)
- 2: 中多(价格在EMA156上方 + MACD在零轴上方)
- 1: 弱多(价格在EMA52上方 或 MACD在零轴上方,满足其一)
- -1: 弱空(价格在EMA52下方 或 MACD在零轴下方,满足其一)
- -2: 中空(价格在EMA156下方 + MACD在零轴下方)
- -3: 强空(价格在EMA156下方 + MACD在零轴下方 + 价格在EMA24下方)
- 0: 盘整(无明确方向)
2. ema_align: EMA排列状态(辅助确认趋势强度)
- 1: 多头排列 (EMA24 > EMA52 > EMA104 > EMA156)
- -1: 空头排列 (EMA24 < EMA52 < EMA104 < EMA156)
- 0: 交叉/纠缠
3. ema_slope: EMA52斜率方向(趋势加速/减速判断)
- 正值: EMA52向上倾斜,趋势加速
- 负值: EMA52向下倾斜,趋势减速
"""
close = dataframe['close']
ema24 = dataframe['ema24']
ema52 = dataframe['ema52']
ema104 = dataframe['ema104']
ema156 = dataframe['ema156']
macd_signal = dataframe['macdsignal'] # 黄线(慢线),用于判断零轴
# === 1. 主趋势方向 ===
# 核心条件:价格与EMA156的关系(大趋势)+ MACD黄线与零轴的关系
above_ema156 = close > ema156
below_ema156 = close < ema156
above_ema52 = close > ema52
below_ema52 = close < ema52
above_ema24 = close > ema24
below_ema24 = close < ema24
macd_above_zero = macd_signal > 0
macd_below_zero = macd_signal < 0
dataframe['ema_dir'] = 0
# 强多:价格在EMA156上方 + MACD零轴上方 + 价格在EMA24上方(超强势结构)
dataframe.loc[above_ema156 & macd_above_zero & above_ema24, 'ema_dir'] = 3
# 中多:价格在EMA156上方 + MACD零轴上方
dataframe.loc[above_ema156 & macd_above_zero & ~above_ema24, 'ema_dir'] = 2
# 弱多:满足其一(价格在EMA52上方 或 MACD零轴上方)
dataframe.loc[(above_ema52 & ~macd_above_zero) | (macd_above_zero & ~above_ema156), 'ema_dir'] = 1
# 弱空:满足其一(价格在EMA52下方 或 MACD零轴下方)
dataframe.loc[(below_ema52 & ~macd_below_zero) | (macd_below_zero & ~below_ema156), 'ema_dir'] = -1
# 中空:价格在EMA156下方 + MACD零轴下方
dataframe.loc[below_ema156 & macd_below_zero & ~below_ema24, 'ema_dir'] = -2
# 强空:价格在EMA156下方 + MACD零轴下方 + 价格在EMA24下方(超强空势结构)
dataframe.loc[below_ema156 & macd_below_zero & below_ema24, 'ema_dir'] = -3
# === 2. EMA排列状态(辅助参考)===
bull_align = (ema24 > ema52) & (ema52 > ema104) & (ema104 > ema156)
bear_align = (ema24 < ema52) & (ema52 < ema104) & (ema104 < ema156)
dataframe['ema_align'] = 0
dataframe.loc[bull_align, 'ema_align'] = 1
dataframe.loc[bear_align, 'ema_align'] = -1
# === 3. EMA52斜率(趋势加速/减速)===
# 用EMA52的变化率判断趋势是否在加速
dataframe['ema_slope'] = (ema52 - ema52.shift(3)) / ema52.shift(3) * 100
return dataframe
def long_entry_condition(self, long_df):
long_entry_condition = (long_df['dir52'] > 0) & (long_df['dir156'] > 0) & (long_df['macdhist'] > 0)
return long_entry_condition
def add_indicators(self, dataframe):
dataframe['ema24'] = ta.EMA(dataframe, timeperiod=24)
dataframe['dir24'] = dataframe['close'] - dataframe['ema24']
dataframe['ema52'] = ta.EMA(dataframe, timeperiod=52)
dataframe['dir52'] = dataframe['close'] - dataframe['ema52']
dataframe['ema104'] = ta.EMA(dataframe, timeperiod=104)
dataframe['dir104'] = dataframe['close'] - dataframe['ema104']
dataframe['ema156'] = ta.EMA(dataframe, timeperiod=156)
dataframe['dir156'] = dataframe['close'] - dataframe['ema156']
dataframe['dir52_156'] = dataframe['dir52'] - dataframe['dir156']
@@ -182,7 +263,6 @@ class ChanLun_EMA52(IStrategy):
def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(dataframe['rsi'] < 30) &
(dataframe['dir156'] > 0) &
(dataframe['dir52_156'] > 0) &
(dataframe['macdhist'] > 0),
@@ -190,7 +270,6 @@ class ChanLun_EMA52(IStrategy):
return dataframe
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(dataframe['rsi'] > 70) &
(dataframe['dir156'] < 0) &
(dataframe['dir52_156'] < 0) &
(dataframe['macdhist'] < 0),