限价马丁策略
该策略在当前价格上下同时放置买入和卖出限价单。每笔交易使用可配置的间隔,并可选择马丁加仓以弥补先前亏损。
参数
- Step – 限价单距离当前价格的点数。
- Stop Loss – 止损点数。
- Take Profit – 止盈点数。
- Use Martingale – 是否在亏损后增加手数。
- Loss Limit – 连续亏损次数上限,超过后手数重置。
- Volume – 基础手数。
- Use MegaLot – 在马丁模式下倍增手数,而不是仅增加基础手数。
- Candle Type – 用于处理的K线类型。
交易逻辑
- 当没有持仓和挂单时,策略在收盘价下方
Step点放置买入限价单,在上方放置卖出限价单。 - 任一挂单成交后,另一侧挂单保留,保证同时只有一个方向的仓位。
- 持仓达到止损或止盈时平仓。
- 发生亏损后,根据马丁设置提高下次交易的手数。
说明
- 策略使用StockSharp的高级API,通过
Bind处理K线数据。 - 代码中的注释全部为英文,以符合仓库要求。
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>
/// Simple martingale strategy with RSI-based entries.
/// Buys when RSI is oversold, sells when overbought.
/// </summary>
public class LimitsMartinStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _oversold;
private readonly StrategyParam<decimal> _overbought;
private readonly StrategyParam<DataType> _candleType;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal Oversold { get => _oversold.Value; set => _oversold.Value = value; }
public decimal Overbought { get => _overbought.Value; set => _overbought.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public LimitsMartinStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Period for RSI", "Indicators");
_oversold = Param(nameof(Oversold), 30m)
.SetDisplay("Oversold", "RSI oversold level", "Indicators");
_overbought = Param(nameof(Overbought), 70m)
.SetDisplay("Overbought", "RSI overbought level", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (rsiValue < Oversold && Position <= 0)
BuyMarket();
else if (rsiValue > Overbought && Position >= 0)
SellMarket();
}
}
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 limits_martin_strategy(Strategy):
def __init__(self):
super(limits_martin_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "Period for RSI", "Indicators")
self._oversold = self.Param("Oversold", 30.0) \
.SetDisplay("Oversold", "RSI oversold level", "Indicators")
self._overbought = self.Param("Overbought", 70.0) \
.SetDisplay("Overbought", "RSI overbought level", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def oversold(self):
return self._oversold.Value
@property
def overbought(self):
return self._overbought.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(limits_martin_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def process_candle(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
rsi_value = float(rsi_value)
if rsi_value < float(self.oversold) and self.Position <= 0:
self.BuyMarket()
elif rsi_value > float(self.overbought) and self.Position >= 0:
self.SellMarket()
def CreateClone(self):
return limits_martin_strategy()