Charles SMA Trailing 策略
该策略利用两条简单移动平均线的交叉并可选使用跟踪止损。当快速 SMA 上穿慢速 SMA 时开多单;当快速 SMA 下穿慢速 SMA 时开空单。策略支持固定的止损、止盈以及在达到预设盈利后激活的跟踪止损。
细节
- 入场条件:
- 快速 SMA 上穿慢速 SMA → 做多。
- 快速 SMA 下穿慢速 SMA → 做空。
- 多空方向:双向。
- 离场条件:
- 反向交叉。
- 触发止损或止盈。
- 当盈利达到
TrailStart后启动跟踪止损,间距为TrailingAmount。
- 止损/止盈:
StopLoss定义固定的止损价格距离。TakeProfit定义固定的止盈目标。TrailStart与TrailingAmount控制跟踪止损。
- 默认参数:
FastPeriod= 18SlowPeriod= 60StopLoss= 0TakeProfit= 25TrailStart= 25TrailingAmount= 5
- 过滤器:
- 类型:趋势跟随
- 方向:多 & 空
- 指标:SMA
- 止损:是
- 复杂度:中等
- 时间周期:任意
- 季节性:否
- 神经网络:否
- 背离:否
- 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>
/// EMA crossover strategy with trailing stop management.
/// </summary>
public class CharlesSmaTrailingStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private decimal _prevFast;
private decimal _prevSlow;
private bool _isInitialized;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public CharlesSmaTrailingStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Working candle timeframe", "General");
_fastPeriod = Param(nameof(FastPeriod), 18)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Length of fast EMA", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 60)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Length of slow EMA", "Indicators");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_isInitialized = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowPeriod };
SubscribeCandles(CandleType)
.Bind(fastEma, slowEma, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished) return;
if (!_isInitialized)
{
_prevFast = fast;
_prevSlow = slow;
_isInitialized = true;
return;
}
var crossUp = _prevFast <= _prevSlow && fast > slow;
var crossDown = _prevFast >= _prevSlow && fast < slow;
_prevFast = fast;
_prevSlow = slow;
if (crossUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0) SellMarket();
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class charles_sma_trailing_strategy(Strategy):
def __init__(self):
super(charles_sma_trailing_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Working candle timeframe", "General")
self._fast_period = self.Param("FastPeriod", 18) \
.SetDisplay("Fast Period", "Length of fast EMA", "Indicators")
self._slow_period = self.Param("SlowPeriod", 60) \
.SetDisplay("Slow Period", "Length of slow EMA", "Indicators")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._is_initialized = False
@property
def candle_type(self):
return self._candle_type.Value
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
def OnReseted(self):
super(charles_sma_trailing_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._is_initialized = False
def OnStarted2(self, time):
super(charles_sma_trailing_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_period
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_period
self.SubscribeCandles(self.candle_type).Bind(fast_ema, slow_ema, self.process_candle).Start()
def process_candle(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
fv = float(fast)
sv = float(slow)
if not self._is_initialized:
self._prev_fast = fv
self._prev_slow = sv
self._is_initialized = True
return
cross_up = self._prev_fast <= self._prev_slow and fv > sv
cross_down = self._prev_fast >= self._prev_slow and fv < sv
self._prev_fast = fv
self._prev_slow = sv
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
def CreateClone(self):
return charles_sma_trailing_strategy()