添加新的策略

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jackyu66git
2026-03-06 22:08:24 +08:00
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"""
SOL5mStrategy_ShortTerm - 真正的短线交易策略
核心特征:
★ 使用5分钟快速EMA交叉(EMA9/EMA21)作为信号源
★ 无延迟入场,信号出现立即入场
★ 小止损(-1%),快速止盈(+0.8%
★ 平均持仓时间:15-60分钟
★ 交易频率:每天5-20笔
逻辑:
- 5分钟K线,EMA9/EMA21交叉入场
- RSI过滤(避免极端超买超卖)
- 成交量确认
- 快速止盈止损,不持仓过夜
使用命令:
freqtrade backtesting -c ./user_data/Chan/config/Local_Test.json \
--strategy SOL5mStrategy_ShortTerm --strategy-path ./user_data/Chan/strategies \
--timerange=20250301-
"""
import logging
from datetime import datetime
from typing import Optional
import talib.abstract as ta
from pandas import DataFrame
from freqtrade.strategy import IStrategy
logger = logging.getLogger(__name__)
class SOL5mStrategy_ShortTerm(IStrategy):
INTERFACE_VERSION: int = 3
# === 基础配置 ===
timeframe = "5m" # 使用5分钟K线
can_short = True
startup_candle_count: int = 100
# 小止损(-1%),适合短线
stoploss = -0.01
use_custom_stoploss = False
# Trailing stop:盈利0.5%后激活,回撤0.3%退出
trailing_stop = True
trailing_stop_positive = 0.003 # 回撤0.3%触发退出
trailing_stop_positive_offset = 0.005 # 盈利0.5%后才开始追踪
trailing_only_offset_is_reached = True
# ROI:快速止盈,从0.8%逐步递减
minimal_roi = {
"0": 0.008, # 0.8% 立即止盈
"15": 0.005, # 15分钟后 0.5%
"30": 0.003, # 30分钟后 0.3%
"60": 0.001, # 60分钟后 0.1%
"120": 0, # 120分钟后不设止盈(但trailing会保护)
}
order_types = {
"entry": "market",
"exit": "market",
"stoploss": "market",
"stoploss_on_exchange": False,
}
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""计算快速EMA交叉信号"""
# 快速EMA9)和慢速EMA21
dataframe["ema_fast"] = ta.EMA(dataframe, timeperiod=9)
dataframe["ema_slow"] = ta.EMA(dataframe, timeperiod=21)
# RSI用于过滤极端情况
dataframe["rsi"] = ta.EMA(dataframe, timeperiod=14)
# 成交量均线用于确认
dataframe["volume_mean"] = dataframe["volume"].rolling(window=20).mean()
# 上穿:本根 EMA9 > EMA21,上一根 EMA9 ≤ EMA21
dataframe["ema_cross_up"] = (
(dataframe["ema_fast"] > dataframe["ema_slow"])
& (dataframe["ema_fast"].shift(1) <= dataframe["ema_slow"].shift(1))
)
# 下穿:本根 EMA9 < EMA21,上一根 EMA9 ≥ EMA21
dataframe["ema_cross_down"] = (
(dataframe["ema_fast"] < dataframe["ema_slow"])
& (dataframe["ema_fast"].shift(1) >= dataframe["ema_slow"].shift(1))
)
return dataframe
def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""5分钟EMA交叉立即入场,无延迟"""
# 做多:EMA9上穿EMA21 + RSI > 45(避免极端超卖)+ 成交量确认
dataframe.loc[
(dataframe["ema_cross_up"] == True) &
(dataframe["rsi"] > 45) & # RSI过滤,避免极端超卖
(dataframe["volume"] > dataframe["volume_mean"] * 0.8), # 成交量确认(稍微宽松)
["enter_long", "enter_tag"],
] = (1, "ema9x21_long")
# 做空:EMA9下穿EMA21 + RSI < 55(避免极端超买)+ 成交量确认
dataframe.loc[
(dataframe["ema_cross_down"] == True) &
(dataframe["rsi"] < 55) & # RSI过滤,避免极端超买
(dataframe["volume"] > dataframe["volume_mean"] * 0.8), # 成交量确认
["enter_short", "enter_tag"],
] = (1, "ema9x21_short")
return dataframe
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""不使用信号退出,完全依赖 ROI / trailing stop / 硬止损"""
return dataframe
def leverage(
self,
pair: str,
current_time: datetime,
current_rate: float,
proposed_leverage: float,
max_leverage: float,
entry_tag: Optional[str],
side: str,
**kwargs,
) -> float:
return 1.0