动量多空策略
该策略在三小时周期内同时进行多头和空头交易。做多时要求价格位于100和500周期均线上方,并可启用RSI、ADX、ATR和趋势方向等过滤条件。做空条件是价格跌破布林带下轨并低于两条均线,可选的ATR过滤器和强势上升趋势阻挡功能可用来限制在强劲上涨期间的空头。
细节
- 入场条件:
- 多头:价格高于MA100和MA500,可选的RSI、ADX、ATR和趋势过滤。
- 空头:价格低于MA100和MA500并跌破布林带下轨,RSI低于阈值,ATR高于其平滑值,可选的强势趋势阻挡。
- 多空方向:双向。
- 出场条件:
- 多头:止损位于入场价下方
slPercentLong%,若价格跌破MA500则提前平仓。 - 空头:根据
slPercentShort和tpPercentShort设置止损和止盈。
- 多头:止损位于入场价下方
- 止损:是。
- 默认值:
slPercentLong = 3slPercentShort = 3tpPercentShort = 4rsiLengthLong = 14rsiLengthShort = 14adxLength = 14atrLength = 14bbLength = 20
- 过滤器:
- 类别:动量
- 方向:双向
- 指标:多个
- 止损:是
- 复杂度:中等
- 周期:中期
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>
/// Momentum strategy with EMA cross, RSI filter and cooldown.
/// </summary>
public class MomentumLongShortStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _signalCooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
private int _barsFromSignal;
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public int RsiLength { get => _rsiLength.Value; set => _rsiLength.Value = value; }
public int SignalCooldownBars { get => _signalCooldownBars.Value; set => _signalCooldownBars.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MomentumLongShortStrategy()
{
_fastLength = Param(nameof(FastLength), 20).SetGreaterThanZero();
_slowLength = Param(nameof(SlowLength), 50).SetGreaterThanZero();
_rsiLength = Param(nameof(RsiLength), 14).SetGreaterThanZero();
_signalCooldownBars = Param(nameof(SignalCooldownBars), 10).SetGreaterThanZero();
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame());
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0m;
_prevSlow = 0m;
_hasPrev = false;
_barsFromSignal = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
StartProtection(null, null);
_prevFast = 0m;
_prevSlow = 0m;
_hasPrev = false;
_barsFromSignal = SignalCooldownBars;
var maFast = new ExponentialMovingAverage { Length = FastLength };
var maSlow = new ExponentialMovingAverage { Length = SlowLength };
var rsi = new RelativeStrengthIndex { Length = RsiLength };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(maFast, maSlow, rsi, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal maFast, decimal maSlow, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
_barsFromSignal++;
if (!_hasPrev)
{
_prevFast = maFast;
_prevSlow = maSlow;
_hasPrev = true;
return;
}
var crossUp = _prevFast <= _prevSlow && maFast > maSlow;
var crossDown = _prevFast >= _prevSlow && maFast < maSlow;
if (_barsFromSignal >= SignalCooldownBars && crossUp && rsiValue <= 65m && Position <= 0)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
_barsFromSignal = 0;
}
else if (_barsFromSignal >= SignalCooldownBars && crossDown && rsiValue >= 35m && Position >= 0)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
_barsFromSignal = 0;
}
_prevFast = maFast;
_prevSlow = maSlow;
}
}
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, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class momentum_long_short_strategy(Strategy):
def __init__(self):
super(momentum_long_short_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 20) \
.SetGreaterThanZero()
self._slow_length = self.Param("SlowLength", 50) \
.SetGreaterThanZero()
self._rsi_length = self.Param("RsiLength", 14) \
.SetGreaterThanZero()
self._signal_cooldown_bars = self.Param("SignalCooldownBars", 10) \
.SetGreaterThanZero()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15)))
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._bars_from_signal = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(momentum_long_short_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._bars_from_signal = 0
def OnStarted2(self, time):
super(momentum_long_short_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._bars_from_signal = self._signal_cooldown_bars.Value
self._ma_fast = ExponentialMovingAverage()
self._ma_fast.Length = self._fast_length.Value
self._ma_slow = ExponentialMovingAverage()
self._ma_slow.Length = self._slow_length.Value
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self._rsi_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._ma_fast, self._ma_slow, self._rsi, self.OnProcess).Start()
def OnProcess(self, candle, ma_fast, ma_slow, rsi_value):
if candle.State != CandleStates.Finished:
return
fv = float(ma_fast)
sv = float(ma_slow)
rv = float(rsi_value)
self._bars_from_signal += 1
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
cd = self._signal_cooldown_bars.Value
if self._bars_from_signal >= cd and cross_up and rv <= 65.0 and self.Position <= 0:
self.BuyMarket()
self._bars_from_signal = 0
elif self._bars_from_signal >= cd and cross_down and rv >= 35.0 and self.Position >= 0:
self.SellMarket()
self._bars_from_signal = 0
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return momentum_long_short_strategy()