Time Trader Intraday 策略
该策略在设定的时间开仓多头和/或空头,并设置固定的止损与止盈。适用于测试基于时间的入场,无需任何指标确认。
细节
- 入场条件:在设定的小时和分钟触发。
- 多/空:双向(可配置)。
- 出场条件:止损或止盈。
- 止损:有。
- 默认值:
TradeHour= 0TradeMinute= 0AllowBuy= trueAllowSell= trueTakeProfitTicks= 20StopLossTicks= 20CandleType= TimeSpan.FromMinutes(1)
- 筛选:
- 分类:其它
- 方向:双向
- 指标:无
- 止损:固定
- 复杂度:基础
- 时间框架:日内 (1分钟)
- 季节性:无
- 神经网络:无
- 背离:无
- 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 fixed SL/TP.
/// </summary>
public class TimeTraderIntradayStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _isInitialized;
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 TimeTraderIntradayStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 21)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
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 time_trader_intraday_strategy(Strategy):
def __init__(self):
super(time_trader_intraday_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 10) \
.SetDisplay("Fast Period", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 21) \
.SetDisplay("Slow Period", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._is_initialized = 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(time_trader_intraday_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._is_initialized = False
def OnStarted2(self, time):
super(time_trader_intraday_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 time_trader_intraday_strategy()