长短方向风险管理策略
此示例策略展示如何使用百分比风控来管理多空头寸。策略依赖价格等于预设值的触发条件,并可选用时间退出。
详情
- 入场条件:收盘价等于设定的多头或空头数值。
- 多/空:双向。
- 出场条件:止损、止盈或在 N 根K线后时间退出。
- 止损:百分比止损和止盈,可选跟踪止损。
- 默认值:
StopLossPercent= 2TakeProfitPercent= 3ExitBars= 10BarsToWait= 10MaxTradesPerDay= 3CandleType= TimeSpan.FromMinutes(1)
- 过滤器:
- 类别:风险管理
- 方向:双向
- 指标:无
- 止损:有
- 复杂度:基础
- 时间框架:日内
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:中等
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Long/short strategy with SMA crossover entry and risk management via StartProtection.
/// </summary>
public class LongShortExitRiskManagementStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<decimal> _takeProfitPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private int _barsSinceSignal;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
public decimal TakeProfitPercent { get => _takeProfitPercent.Value; set => _takeProfitPercent.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public LongShortExitRiskManagementStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 10)
.SetDisplay("Fast SMA", "Fast SMA period", "Indicators")
.SetGreaterThanZero();
_slowPeriod = Param(nameof(SlowPeriod), 25)
.SetDisplay("Slow SMA", "Slow SMA period", "Indicators")
.SetGreaterThanZero();
_stopLossPercent = Param(nameof(StopLossPercent), 3m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
.SetGreaterThanZero();
_takeProfitPercent = Param(nameof(TakeProfitPercent), 5m)
.SetDisplay("Take Profit %", "Take profit percentage", "Risk")
.SetGreaterThanZero();
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_cooldownBars = Param(nameof(CooldownBars), 5)
.SetDisplay("Cooldown Bars", "Min bars between signals", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_fast = null;
_slow = null;
_prevFast = 0;
_prevSlow = 0;
_barsSinceSignal = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = 0;
_prevSlow = 0;
_barsSinceSignal = 0;
_fast = new ExponentialMovingAverage { Length = FastPeriod };
_slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_fast, _slow, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _fast);
DrawIndicator(area, _slow);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastVal, decimal slowVal)
{
if (candle.State != CandleStates.Finished)
return;
_barsSinceSignal++;
if (!_fast.IsFormed || !_slow.IsFormed || _prevFast == 0 || _prevSlow == 0)
{
_prevFast = fastVal;
_prevSlow = slowVal;
return;
}
if (_barsSinceSignal < CooldownBars)
{
_prevFast = fastVal;
_prevSlow = slowVal;
return;
}
var crossUp = _prevFast <= _prevSlow && fastVal > slowVal;
var crossDown = _prevFast >= _prevSlow && fastVal < slowVal;
if (crossUp && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
_barsSinceSignal = 0;
}
else if (crossDown && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
_barsSinceSignal = 0;
}
_prevFast = fastVal;
_prevSlow = slowVal;
}
}
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 long_short_exit_risk_management_strategy(Strategy):
def __init__(self):
super(long_short_exit_risk_management_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 10) \
.SetGreaterThanZero() \
.SetDisplay("Fast SMA", "Fast SMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 25) \
.SetGreaterThanZero() \
.SetDisplay("Slow SMA", "Slow SMA period", "Indicators")
self._stop_loss_percent = self.Param("StopLossPercent", 3.0) \
.SetGreaterThanZero() \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
self._take_profit_percent = self.Param("TakeProfitPercent", 5.0) \
.SetGreaterThanZero() \
.SetDisplay("Take Profit %", "Take profit percentage", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._cooldown_bars = self.Param("CooldownBars", 5) \
.SetDisplay("Cooldown Bars", "Min bars between signals", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._bars_since_signal = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(long_short_exit_risk_management_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._bars_since_signal = 0
def OnStarted2(self, time):
super(long_short_exit_risk_management_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._bars_since_signal = 0
self._fast = ExponentialMovingAverage()
self._fast.Length = self._fast_period.Value
self._slow = ExponentialMovingAverage()
self._slow.Length = self._slow_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast, self._slow, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._fast)
self.DrawIndicator(area, self._slow)
self.DrawOwnTrades(area)
def OnProcess(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
self._bars_since_signal += 1
fv = float(fast_val)
sv = float(slow_val)
if not self._fast.IsFormed or not self._slow.IsFormed or self._prev_fast == 0.0 or self._prev_slow == 0.0:
self._prev_fast = fv
self._prev_slow = sv
return
if self._bars_since_signal < self._cooldown_bars.Value:
self._prev_fast = fv
self._prev_slow = sv
return
cross_up = self._prev_fast <= self._prev_slow and fv > sv
cross_down = self._prev_fast >= self._prev_slow and fv < sv
if cross_up and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._bars_since_signal = 0
elif cross_down and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._bars_since_signal = 0
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return long_short_exit_risk_management_strategy()