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FitFul 13 时间过滤策略
概述
FitFul 13 时间过滤策略 是 MetaTrader 4 指标顾问 "FitFul_13" 的 StockSharp 版本。策略使用上一周的最高价、最低价和收盘价构建枢轴价位阶梯(PP、R0.5、R1、R1.5、R2、R2.5、R3 以及对应的支撑位)。交易决策在主时间框架(默认 1 小时)上完成,并可通过更快的确认时间框架(默认 15 分钟)验证。为了保持原始 EA 的节奏,只允许在特定分钟触发新仓位。
信号逻辑
- 周枢轴计算
- 每根周线收盘后重新计算整个枢轴阶梯。
- 止损和止盈在基础价位的基础上加入可配置的点数偏移。
- 主时间框架条件
- 最近完成的主时间框架 K 线必须收阳才能寻找多头信号,收阴才能寻找空头信号。
- 更早一根主时间框架 K 线需要跨越某个枢轴位(开盘价在下方收盘价在上方表示向上突破,反之亦然)。
- 确认时间框架条件
- 如果当前确认 K 线收阳,则前两根确认 K 线的最低价必须下穿并收于同一枢轴位之上。
- 如果当前确认 K 线收阴,则前两根确认 K 线的最高价必须上穿并收于同一枢轴位之下。
- 入场时间
- 只有当已完成主 K 线的开盘分钟等于四个配置分钟之一(默认 0、15、30、45)时才允许入场。
- 净仓位通过
MaxNetPositions × Volume 限制,以模拟原版 EA 中“最多三单”的控制。
风险管理
- 止损 / 止盈:建仓后立即分配基于枢轴位的止损和止盈。
- 跟踪止损:一旦价格按设定点数向有利方向移动,就沿趋势方向移动止损。
- 最长持仓时间:当持仓时间超过设定值且仍有盈利(默认 48 小时)时立即平仓。
- 周五清仓规则:周五在指定小时内、配置的分钟区间(默认 21:50–21:59)平掉所有仓位。
参数
| 名称 |
说明 |
PrimaryCandleType |
用于枢轴突破检测的主时间框架。 |
ConfirmationCandleType |
用于验证枢轴反应的较快时间框架。 |
Volume |
市价单净成交量。 |
MaxNetPositions |
以 Volume 的倍数衡量的最大净敞口。 |
OffsetPoints |
在每个枢轴位周围加入的价格点数偏移。 |
TrailingStopPoints |
跟踪止损距离(价格点)。 |
CloseAfter |
有盈利仓位的最长持仓时间。 |
CloseHour、CloseMinuteFrom、CloseMinuteTo |
周五强制平仓的时间窗口。 |
EntryMinute0..3 |
每小时中允许开仓的分钟。 |
说明
- 转换版本保留了原始 EA 对上一周枢轴阶梯和 15 分钟节奏的依赖。
- 资金管理做了简化:直接使用
Volume 控制下单规模,而不是复刻 MT4 的动态手数算法。
- 所有代码注释均为英文,以符合项目规范。
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// FitFul 13 Time Gated strategy - channel midpoint crossover.
/// Buys when close crosses above the midpoint of Highest/Lowest channel.
/// Sells when close crosses below the midpoint.
/// </summary>
public class FitFul13TimeGatedStrategy : Strategy
{
private readonly StrategyParam<int> _channelPeriod;
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevClose;
private decimal _prevMid;
private bool _hasPrev;
public int ChannelPeriod { get => _channelPeriod.Value; set => _channelPeriod.Value = value; }
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public FitFul13TimeGatedStrategy()
{
_channelPeriod = Param(nameof(ChannelPeriod), 13)
.SetDisplay("Channel Period", "Highest/Lowest lookback", "Indicators");
_emaPeriod = Param(nameof(EmaPeriod), 13)
.SetDisplay("EMA Period", "EMA trend filter", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities() => [(Security, CandleType)];
protected override void OnReseted() { base.OnReseted(); _prevClose = 0m; _prevMid = 0m; _hasPrev = false; }
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
var highest = new Highest { Length = ChannelPeriod };
var lowest = new Lowest { Length = ChannelPeriod };
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(highest, lowest, ema, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal highest, decimal lowest, decimal ema)
{
if (candle.State != CandleStates.Finished)
return;
var close = candle.ClosePrice;
var mid = (highest + lowest) / 2;
if (!_hasPrev)
{
_prevClose = close;
_prevMid = mid;
_hasPrev = true;
return;
}
// Cross above midpoint with EMA confirmation
if (_prevClose <= _prevMid && close > mid && close > ema && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
// Cross below midpoint with EMA confirmation
else if (_prevClose >= _prevMid && close < mid && close < ema && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
}
_prevClose = close;
_prevMid = mid;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import Highest, Lowest, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class fit_ful13_time_gated_strategy(Strategy):
def __init__(self):
super(fit_ful13_time_gated_strategy, self).__init__()
self._channel_period = self.Param("ChannelPeriod", 13) \
.SetDisplay("Channel Period", "Highest/Lowest lookback", "Indicators")
self._ema_period = self.Param("EmaPeriod", 13) \
.SetDisplay("EMA Period", "EMA trend filter", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
@property
def channel_period(self):
return self._channel_period.Value
@property
def ema_period(self):
return self._ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(fit_ful13_time_gated_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(fit_ful13_time_gated_strategy, self).OnStarted2(time)
self._has_prev = False
highest = Highest()
highest.Length = self.channel_period
lowest = Lowest()
lowest.Length = self.channel_period
ema = ExponentialMovingAverage()
ema.Length = self.ema_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(highest, lowest, ema, self.process_candle).Start()
def process_candle(self, candle, highest, lowest, ema):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
high_val = float(highest)
low_val = float(lowest)
ema_val = float(ema)
mid = (high_val + low_val) / 2.0
if not self._has_prev:
self._prev_close = close
self._prev_mid = mid
self._has_prev = True
return
if self._prev_close <= self._prev_mid and close > mid and close > ema_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif self._prev_close >= self._prev_mid and close < mid and close < ema_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_close = close
self._prev_mid = mid
def CreateClone(self):
return fit_ful13_time_gated_strategy()