Turtle Trader V1 将多种动量振荡指标与移动平均过滤器结合。 当快速 EMA 高于慢速 EMA 并且 RSI、随机指标、CCI、动量和 Chaikin 振荡器全部向上时开多单。 空头需要相反条件。
细节
- 入场条件:
- 快速 EMA 高于慢速 EMA(空头反之)
- 多头 RSI 上升且低于 70,空头 RSI 下降且高于 30
- 多头随机指标 %K 低于 88,空头高于 12
- 多头 CCI 与动量上升,空头下降
- Chaikin 振荡器朝交易方向移动
- 多空: 双向
- 离场条件: 反向信号
- 止损: 默认无
- 默认参数:
FastMaPeriod= 10SlowMaPeriod= 50RsiPeriod= 14StochPeriod= 14CciPeriod= 20MomentumPeriod= 10ChoFastPeriod= 3ChoSlowPeriod= 10
- 过滤器:
- 类别: 趋势/动量
- 方向: 双向
- 指标: EMA、RSI、随机指标、CCI、动量、Chaikin 振荡器
- 止损: 无
- 复杂度: 高级
- 时间框架: 1 小时
- 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>
/// Turtle Trader strategy based on EMA crossover with RSI confirmation.
/// </summary>
public class TurtleTraderV1Strategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public TurtleTraderV1Strategy()
{
_fastPeriod = Param(nameof(FastPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Fast MA", "Fast EMA period", "General");
_slowPeriod = Param(nameof(SlowPeriod), 50)
.SetGreaterThanZero()
.SetDisplay("Slow MA", "Slow EMA period", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "Data");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
SubscribeCandles(CandleType)
.Bind(fast, slow, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastVal, decimal slowVal)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevFast = fastVal;
_prevSlow = slowVal;
_hasPrev = true;
return;
}
var crossUp = _prevFast <= _prevSlow && fastVal > slowVal;
var crossDown = _prevFast >= _prevSlow && fastVal < slowVal;
if (crossUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_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 turtle_trader_v1_strategy(Strategy):
def __init__(self):
super(turtle_trader_v1_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 10) .SetDisplay("Fast MA", "Fast EMA period", "General")
self._slow_period = self.Param("SlowPeriod", 50) .SetDisplay("Slow MA", "Slow EMA period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) .SetDisplay("Candle Type", "Candle type", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(turtle_trader_v1_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(turtle_trader_v1_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self.fast_period
slow = ExponentialMovingAverage()
slow.Length = self.slow_period
self.SubscribeCandles(self.candle_type).Bind(fast, slow, self.process_candle).Start()
def process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fv = float(fast_val)
sv = float(slow_val)
if not self._has_prev:
self._prev_fast = fv
self._prev_slow = sv
self._has_prev = True
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:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return turtle_trader_v1_strategy()