纯马丁策略
该策略实现了一个基本的马丁系统。没有持仓时随机选择买入或卖出,若上一笔交易亏损,则成倍增加仓位和止损/止盈距离;若盈利则恢复初始参数。
该方法假设价格最终会回到盈利区间,但风险呈指数级增长。仅建议用于点差小的流动性品种。
详情
- 入场条件:
- 无持仓时在收盘随机买入或卖出。
- 多空方向: 双向。
- 出场条件:
- 当价格按照配置的距离向有利或不利方向移动时平仓。
- 止损: 策略内部管理的虚拟止损/止盈。
- 过滤:
- 无。
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>
/// Momentum strategy with EMA trend filter.
/// </summary>
public class PureMartingaleStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevClose;
private decimal _prevPrevClose;
private int _barCount;
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public PureMartingaleStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA trend period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candles for trade timing", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevClose = 0;
_prevPrevClose = 0;
_barCount = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
SubscribeCandles(CandleType).Bind(ema, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue)
{
if (candle.State != CandleStates.Finished) return;
var close = candle.ClosePrice;
_barCount++;
if (_barCount >= 3)
{
// Two consecutive rising closes above EMA => buy
if (close > _prevClose && _prevClose > _prevPrevClose && close > emaValue && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
// Two consecutive falling closes below EMA => sell
else if (close < _prevClose && _prevClose < _prevPrevClose && close < emaValue && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
}
_prevPrevClose = _prevClose;
_prevClose = close;
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class pure_martingale_strategy(Strategy):
def __init__(self):
super(pure_martingale_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 20) \
.SetDisplay("EMA Period", "EMA trend period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candles for trade timing", "General")
self._prev_close = 0.0
self._prev_prev_close = 0.0
self._bar_count = 0
@property
def ema_period(self):
return self._ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(pure_martingale_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_prev_close = 0.0
self._bar_count = 0
def OnStarted2(self, time):
super(pure_martingale_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.ema_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ema, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def on_process(self, candle, ema_value):
if candle.State != CandleStates.Finished:
return
close = candle.ClosePrice
self._bar_count += 1
if self._bar_count >= 3:
# Two consecutive rising closes above EMA => buy
if close > self._prev_close and self._prev_close > self._prev_prev_close and close > ema_value and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
# Two consecutive falling closes below EMA => sell
elif close < self._prev_close and self._prev_close < self._prev_prev_close and close < ema_value and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_prev_close = self._prev_close
self._prev_close = close
def CreateClone(self):
return pure_martingale_strategy()