MA With Logistic
MA With Logistic 是一种基于移动平均线的策略,使用快慢均线判断入场,并支持百分比或逻辑概率的出场方式。
细节
- 数据:价格K线。
- 入场条件:
- 多头:收盘价 > 快速均线 且 快速均线 > 慢速均线。
- 空头:收盘价 < 快速均线 且 快速均线 < 慢速均线。
- 出场条件:百分比目标或逻辑概率阈值。
- 止损:百分比或逻辑概率。
- 默认值:
FastLength= 9SlowLength= 21MaType= MaTypeEnum.EMAExitType= ExitTypeEnum.PercentTakeProfitPercent= 20StopLossPercent= 5LogisticSlope= 10LogisticMidpoint= 0TakeProfitProbability= 0.8StopLossProbability= 0.2
- 过滤器:
- 分类:趋势跟随
- 方向:多头 & 空头
- 指标:MA
- 复杂度:低
- 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>
/// MA crossover strategy with percent-based exits.
/// </summary>
public class MaWithLogisticStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<decimal> _takeProfitPercent;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private ExponentialMovingAverage _fastMa;
private ExponentialMovingAverage _slowMa;
private decimal _entryPrice;
private decimal _prevFast;
private decimal _prevSlow;
private bool _initialized;
private int _cooldown;
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public decimal TakeProfitPercent { get => _takeProfitPercent.Value; set => _takeProfitPercent.Value = value; }
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MaWithLogisticStrategy()
{
_fastLength = Param(nameof(FastLength), 12).SetGreaterThanZero()
.SetDisplay("Fast MA", "Fast MA period", "Indicators");
_slowLength = Param(nameof(SlowLength), 25).SetGreaterThanZero()
.SetDisplay("Slow MA", "Slow MA period", "Indicators");
_takeProfitPercent = Param(nameof(TakeProfitPercent), 8m).SetGreaterThanZero()
.SetDisplay("TP %", "Take profit percent", "Risk");
_stopLossPercent = Param(nameof(StopLossPercent), 5m).SetGreaterThanZero()
.SetDisplay("SL %", "Stop loss percent", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(20).TimeFrame())
.SetDisplay("Candle Type", "Candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_entryPrice = default;
_prevFast = default;
_prevSlow = default;
_initialized = false;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fastMa = new ExponentialMovingAverage { Length = FastLength };
_slowMa = new ExponentialMovingAverage { Length = SlowLength };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(_fastMa, _slowMa, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _fastMa);
DrawIndicator(area, _slowMa);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished)
return;
if (!_fastMa.IsFormed || !_slowMa.IsFormed)
return;
if (!_initialized)
{
_prevFast = fast;
_prevSlow = slow;
_initialized = true;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevFast = fast;
_prevSlow = slow;
return;
}
var close = candle.ClosePrice;
// MA crossover entry
var crossUp = _prevFast <= _prevSlow && fast > slow;
var crossDown = _prevFast >= _prevSlow && fast < slow;
if (crossUp && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_entryPrice = close;
_cooldown = 5;
}
else if (crossDown && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
_entryPrice = close;
_cooldown = 5;
}
_prevFast = fast;
_prevSlow = slow;
}
}
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 ma_with_logistic_strategy(Strategy):
"""
MA crossover strategy with percent-based exits.
"""
def __init__(self):
super(ma_with_logistic_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 12).SetDisplay("Fast MA", "Fast MA period", "Indicators")
self._slow_length = self.Param("SlowLength", 25).SetDisplay("Slow MA", "Slow MA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(20))).SetDisplay("Candle Type", "Candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._is_init = False
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ma_with_logistic_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._is_init = False
self._cooldown = 0
def OnStarted2(self, time):
super(ma_with_logistic_strategy, self).OnStarted2(time)
self._fast_ma = ExponentialMovingAverage()
self._fast_ma.Length = self._fast_length.Value
self._slow_ma = ExponentialMovingAverage()
self._slow_ma.Length = self._slow_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast_ma, self._slow_ma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._fast_ma)
self.DrawIndicator(area, self._slow_ma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
if not self._fast_ma.IsFormed or not self._slow_ma.IsFormed:
return
fast = float(fast_val)
slow = float(slow_val)
if not self._is_init:
self._prev_fast = fast
self._prev_slow = slow
self._is_init = True
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast
self._prev_slow = slow
return
cross_up = self._prev_fast <= self._prev_slow and fast > slow
cross_down = self._prev_fast >= self._prev_slow and fast < slow
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._cooldown = 5
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._cooldown = 5
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return ma_with_logistic_strategy()