MA L World Strategy 策略 (中文)
该文档的中文版本尚未完整,详细说明请参阅英文版 README.md。
基于加权移动平均线交叉的策略,并使用92周期EMA作为跟踪止损,同时设置固定的止损和止盈。
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>
/// Moving average crossover strategy with trailing EMA and fixed stop levels.
/// </summary>
public class MaLWorldStrategy : Strategy
{
private readonly StrategyParam<int> _fastMaLength;
private readonly StrategyParam<int> _slowMaLength;
private readonly StrategyParam<int> _trailingMaPeriod;
private readonly StrategyParam<decimal> _stopLoss;
private readonly StrategyParam<decimal> _takeProfit;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _minSpreadPercent;
private readonly StrategyParam<int> _cooldownBars;
private WeightedMovingAverage _fastMa = null!;
private WeightedMovingAverage _slowMa = null!;
private ExponentialMovingAverage _trailingMa = null!;
private bool _initialized;
private decimal _prevFast;
private decimal _prevSlow;
private int _cooldownRemaining;
public int FastMaLength
{
get => _fastMaLength.Value;
set => _fastMaLength.Value = value;
}
public int SlowMaLength
{
get => _slowMaLength.Value;
set => _slowMaLength.Value = value;
}
public int TrailingMaPeriod
{
get => _trailingMaPeriod.Value;
set => _trailingMaPeriod.Value = value;
}
public decimal StopLoss
{
get => _stopLoss.Value;
set => _stopLoss.Value = value;
}
public decimal TakeProfit
{
get => _takeProfit.Value;
set => _takeProfit.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public decimal MinSpreadPercent
{
get => _minSpreadPercent.Value;
set => _minSpreadPercent.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
public MaLWorldStrategy()
{
_fastMaLength = Param(nameof(FastMaLength), 12)
.SetGreaterThanZero()
.SetDisplay("Fast MA", "Period of the fast weighted MA", "Parameters");
_slowMaLength = Param(nameof(SlowMaLength), 25)
.SetGreaterThanZero()
.SetDisplay("Slow MA", "Period of the slow weighted MA", "Parameters");
_trailingMaPeriod = Param(nameof(TrailingMaPeriod), 92)
.SetGreaterThanZero()
.SetDisplay("Trailing EMA", "Period of trailing EMA", "Risk");
_stopLoss = Param(nameof(StopLoss), 95m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss", "Fixed stop loss distance", "Risk");
_takeProfit = Param(nameof(TakeProfit), 670m)
.SetGreaterThanZero()
.SetDisplay("Take Profit", "Fixed take profit distance", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_minSpreadPercent = Param(nameof(MinSpreadPercent), 0.0008m)
.SetDisplay("Minimum Spread %", "Minimum normalized spread between fast and slow MA", "Filters");
_cooldownBars = Param(nameof(CooldownBars), 3)
.SetDisplay("Cooldown Bars", "Completed candles to wait after a position change", "Trading");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_fastMa = null!;
_slowMa = null!;
_trailingMa = null!;
_initialized = false;
_prevFast = 0m;
_prevSlow = 0m;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fastMa = new WeightedMovingAverage { Length = FastMaLength };
_slowMa = new WeightedMovingAverage { Length = SlowMaLength };
_trailingMa = new ExponentialMovingAverage { Length = TrailingMaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(_fastMa, _slowMa, _trailingMa, ProcessCandle).Start();
StartProtection(
stopLoss: new Unit(StopLoss, UnitTypes.Absolute),
takeProfit: new Unit(TakeProfit, UnitTypes.Absolute));
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _fastMa);
DrawIndicator(area, _slowMa);
DrawIndicator(area, _trailingMa);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow, decimal trail)
{
if (candle.State != CandleStates.Finished || !_fastMa.IsFormed || !_slowMa.IsFormed || !_trailingMa.IsFormed)
return;
if (_cooldownRemaining > 0)
_cooldownRemaining--;
if (!_initialized)
{
_prevFast = fast;
_prevSlow = slow;
_initialized = true;
return;
}
var spreadPercent = candle.ClosePrice != 0m ? Math.Abs(fast - slow) / candle.ClosePrice : 0m;
var crossUp = _prevFast <= _prevSlow && fast > slow && spreadPercent >= MinSpreadPercent;
var crossDown = _prevFast >= _prevSlow && fast < slow && spreadPercent >= MinSpreadPercent;
if (_cooldownRemaining == 0)
{
if (crossUp && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_cooldownRemaining = CooldownBars;
}
else if (crossDown && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
_cooldownRemaining = CooldownBars;
}
}
_prevFast = fast;
_prevSlow = slow;
if (Position > 0 && candle.LowPrice <= trail)
{
SellMarket();
_cooldownRemaining = CooldownBars;
}
else if (Position < 0 && candle.HighPrice >= trail)
{
BuyMarket();
_cooldownRemaining = CooldownBars;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import WeightedMovingAverage, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class ma_l_world_strategy(Strategy):
def __init__(self):
super(ma_l_world_strategy, self).__init__()
self._fast_ma_length = self.Param("FastMaLength", 12) \
.SetDisplay("Fast MA", "Period of the fast weighted MA", "Parameters")
self._slow_ma_length = self.Param("SlowMaLength", 25) \
.SetDisplay("Slow MA", "Period of the slow weighted MA", "Parameters")
self._trailing_ma_period = self.Param("TrailingMaPeriod", 92) \
.SetDisplay("Trailing EMA", "Period of trailing EMA", "Risk")
self._stop_loss = self.Param("StopLoss", 95.0) \
.SetDisplay("Stop Loss", "Fixed stop loss distance", "Risk")
self._take_profit = self.Param("TakeProfit", 670.0) \
.SetDisplay("Take Profit", "Fixed take profit distance", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._min_spread_percent = self.Param("MinSpreadPercent", 0.0008) \
.SetDisplay("Minimum Spread %", "Minimum normalized spread between fast and slow MA", "Filters")
self._cooldown_bars = self.Param("CooldownBars", 3) \
.SetDisplay("Cooldown Bars", "Completed candles to wait after a position change", "Trading")
self._initialized = False
self._prev_fast = 0.0
self._prev_slow = 0.0
self._cooldown_remaining = 0
@property
def fast_ma_length(self):
return self._fast_ma_length.Value
@property
def slow_ma_length(self):
return self._slow_ma_length.Value
@property
def trailing_ma_period(self):
return self._trailing_ma_period.Value
@property
def stop_loss(self):
return self._stop_loss.Value
@property
def take_profit(self):
return self._take_profit.Value
@property
def candle_type(self):
return self._candle_type.Value
@property
def min_spread_percent(self):
return self._min_spread_percent.Value
@property
def cooldown_bars(self):
return self._cooldown_bars.Value
def OnReseted(self):
super(ma_l_world_strategy, self).OnReseted()
self._initialized = False
self._prev_fast = 0.0
self._prev_slow = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(ma_l_world_strategy, self).OnStarted2(time)
fast_ma = WeightedMovingAverage()
fast_ma.Length = self.fast_ma_length
slow_ma = WeightedMovingAverage()
slow_ma.Length = self.slow_ma_length
trailing_ma = ExponentialMovingAverage()
trailing_ma.Length = self.trailing_ma_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ma, slow_ma, trailing_ma, self.process_candle).Start()
self.StartProtection(
Unit(float(self.take_profit), UnitTypes.Absolute),
Unit(float(self.stop_loss), UnitTypes.Absolute))
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ma)
self.DrawIndicator(area, slow_ma)
self.DrawIndicator(area, trailing_ma)
self.DrawOwnTrades(area)
def process_candle(self, candle, fast, slow, trail):
if candle.State != CandleStates.Finished:
return
fast = float(fast)
slow = float(slow)
trail = float(trail)
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
if not self._initialized:
self._prev_fast = fast
self._prev_slow = slow
self._initialized = True
return
close = float(candle.ClosePrice)
spread_percent = abs(fast - slow) / close if close != 0 else 0.0
min_sp = float(self.min_spread_percent)
cross_up = self._prev_fast <= self._prev_slow and fast > slow and spread_percent >= min_sp
cross_down = self._prev_fast >= self._prev_slow and fast < slow and spread_percent >= min_sp
if self._cooldown_remaining == 0:
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._cooldown_remaining = self.cooldown_bars
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._cooldown_remaining = self.cooldown_bars
self._prev_fast = fast
self._prev_slow = slow
if self.Position > 0 and float(candle.LowPrice) <= trail:
self.SellMarket()
self._cooldown_remaining = self.cooldown_bars
elif self.Position < 0 and float(candle.HighPrice) >= trail:
self.BuyMarket()
self._cooldown_remaining = self.cooldown_bars
def CreateClone(self):
return ma_l_world_strategy()