在 GitHub 上查看
Mad Trader 策略
Mad Trader 是从原始 MQL 专家“madtrader-8.7”移植而来的趋势跟随策略。它结合 ATR 和 RSI 指标,在波动率较低但开始上升的时段寻找回调。当 ATR 低于设定阈值但仍在上升,并且 RSI 在总体趋势方向上增加时,若蜡烛实体位于设定范围内,策略将按 RSI 指示的方向开仓。仓位通过跟踪止损和篮子收益机制保护,当账户权益达到目标增幅时关闭所有交易。
细节
- 入场条件:
- ATR 小于
MaxAtr 且大于前一值。
- 蜡烛实体在
MinCandle 与 MaxCandle 之间。
- 交易时间位于
[StartHour, EndHour)。
- RSI 趋势高于 50 且当前 RSI 上升但低于
RsiLowerLevel → 买入。
- RSI 趋势低于 50 且当前 RSI 下降但高于
RsiUpperLevel → 卖出。
- 连续交易之间至少间隔
TradeInterval。
- 多/空:双向。
- 出场条件:
- 触发跟踪止损。
- 达到篮子收益目标(
BasketProfit 或 BasketProfit * BasketBoost)。
- 止损:使用价格点表示的跟踪止损。
- 默认值:
AtrPeriod = 14
RsiPeriod = 14
TrendBars = 60
MinCandle = 5
MaxCandle = 10
MaxAtr = 10
RsiUpperLevel = 50
RsiLowerLevel = 50
StartHour = 0
EndHour = 23
TradeInterval = 30 分钟
TrailingStop = 7
BasketProfit = 1.05
BasketBoost = 1.1
RefreshHours = 24
ExponentialGrowth = 0.01
- 过滤器:
- 类别:趋势跟随
- 方向:双向
- 指标:ATR、RSI
- 止损:跟踪止损
- 复杂度:中等
- 周期:短期(5 分钟蜡烛)
- 风险等级:中等
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// RSI-based trading strategy.
/// </summary>
public class MadTraderStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiUpper;
private readonly StrategyParam<decimal> _rsiLower;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRsi;
private bool _hasPrev;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal RsiUpper { get => _rsiUpper.Value; set => _rsiUpper.Value = value; }
public decimal RsiLower { get => _rsiLower.Value; set => _rsiLower.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MadTraderStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI period", "Indicators");
_rsiUpper = Param(nameof(RsiUpper), 70m)
.SetDisplay("RSI Upper", "Overbought level", "Indicators");
_rsiLower = Param(nameof(RsiLower), 30m)
.SetDisplay("RSI Lower", "Oversold level", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
SubscribeCandles(CandleType)
.Bind(rsi, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal rsiVal)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevRsi = rsiVal;
_hasPrev = true;
return;
}
// Buy when RSI crosses above lower level (oversold exit)
if (_prevRsi <= RsiLower && rsiVal > RsiLower && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
// Sell when RSI crosses below upper level (overbought exit)
else if (_prevRsi >= RsiUpper && rsiVal < RsiUpper && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevRsi = rsiVal;
}
}
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 RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class mad_trader_strategy(Strategy):
def __init__(self):
super(mad_trader_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI period", "Indicators")
self._rsi_upper = self.Param("RsiUpper", 70.0) \
.SetDisplay("RSI Upper", "Overbought level", "Indicators")
self._rsi_lower = self.Param("RsiLower", 30.0) \
.SetDisplay("RSI Lower", "Oversold level", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._prev_rsi = 0.0
self._has_prev = False
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def rsi_upper(self):
return self._rsi_upper.Value
@property
def rsi_lower(self):
return self._rsi_lower.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(mad_trader_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(mad_trader_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
self.SubscribeCandles(self.candle_type) \
.Bind(rsi, self.process_candle) \
.Start()
def process_candle(self, candle, rsi_val):
if candle.State != CandleStates.Finished:
return
rsi_val = float(rsi_val)
if not self._has_prev:
self._prev_rsi = rsi_val
self._has_prev = True
return
if self._prev_rsi <= float(self.rsi_lower) and rsi_val > float(self.rsi_lower) and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif self._prev_rsi >= float(self.rsi_upper) and rsi_val < float(self.rsi_upper) and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_rsi = rsi_val
def CreateClone(self):
return mad_trader_strategy()