Ergodic Ticks Volume 指标策略
该策略对指定周期的蜡烛数据应用 True Strength Index (TSI),并与指数移动平均线形成的信号线比较。当 TSI 上穿信号线时做多,下穿信号线时做空。
参数
- Candle Type – 计算所用的蜡烛周期。
- Short Length – TSI 的快速平滑周期。
- Long Length – TSI 的慢速平滑周期。
- Signal Length – 作为信号线的 EMA 周期。
逻辑
- 订阅选定周期的蜡烛。
- 对每根完成的蜡烛计算 TSI。
- 通过 EMA 处理 TSI 得到信号线。
- 当 TSI 上穿信号线时,关闭空头并开多头。
- 当 TSI 下穿信号线时,关闭多头并开空头。
该策略改编自 MQL 示例 "exp_ergodic_ticks_volume_indicator.mq5",仅使用 StockSharp 内置指标。
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>
/// Strategy based on True Strength Index crossovers of the signal line.
/// </summary>
public class ErgodicTicksVolumeIndicatorStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _firstLength;
private readonly StrategyParam<int> _secondLength;
private readonly StrategyParam<int> _signalLength;
private decimal _prevTsi;
private decimal _prevSignal;
private bool _prevReady;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int FirstLength { get => _firstLength.Value; set => _firstLength.Value = value; }
public int SecondLength { get => _secondLength.Value; set => _secondLength.Value = value; }
public int SignalLength { get => _signalLength.Value; set => _signalLength.Value = value; }
public ErgodicTicksVolumeIndicatorStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_firstLength = Param(nameof(FirstLength), 25)
.SetGreaterThanZero()
.SetDisplay("First Length", "First smoothing length", "Indicator");
_secondLength = Param(nameof(SecondLength), 13)
.SetGreaterThanZero()
.SetDisplay("Second Length", "Second smoothing length", "Indicator");
_signalLength = Param(nameof(SignalLength), 7)
.SetGreaterThanZero()
.SetDisplay("Signal Length", "Signal line length", "Indicator");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevTsi = default;
_prevSignal = default;
_prevReady = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var tsi = new TrueStrengthIndex
{
FirstLength = FirstLength,
SecondLength = SecondLength,
SignalLength = SignalLength
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(tsi, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue value)
{
if (candle.State != CandleStates.Finished)
return;
var tsiVal = (ITrueStrengthIndexValue)value;
if (tsiVal.Tsi is not decimal tsi || tsiVal.Signal is not decimal signal)
return;
if (!_prevReady)
{
_prevTsi = tsi;
_prevSignal = signal;
_prevReady = true;
return;
}
// TSI crosses above signal - buy
if (_prevTsi <= _prevSignal && tsi > signal && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
// TSI crosses below signal - sell
else if (_prevTsi >= _prevSignal && tsi < signal && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
}
_prevTsi = tsi;
_prevSignal = signal;
}
}
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 TrueStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class ergodic_ticks_volume_indicator_strategy(Strategy):
def __init__(self):
super(ergodic_ticks_volume_indicator_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._first_length = self.Param("FirstLength", 25) \
.SetDisplay("First Length", "First smoothing length", "Indicator")
self._second_length = self.Param("SecondLength", 13) \
.SetDisplay("Second Length", "Second smoothing length", "Indicator")
self._signal_length = self.Param("SignalLength", 7) \
.SetDisplay("Signal Length", "Signal line length", "Indicator")
self._prev_tsi = 0.0
self._prev_signal = 0.0
self._prev_ready = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def FirstLength(self):
return self._first_length.Value
@FirstLength.setter
def FirstLength(self, value):
self._first_length.Value = value
@property
def SecondLength(self):
return self._second_length.Value
@SecondLength.setter
def SecondLength(self, value):
self._second_length.Value = value
@property
def SignalLength(self):
return self._signal_length.Value
@SignalLength.setter
def SignalLength(self, value):
self._signal_length.Value = value
def OnStarted2(self, time):
super(ergodic_ticks_volume_indicator_strategy, self).OnStarted2(time)
tsi = TrueStrengthIndex()
tsi.FirstLength = self.FirstLength
tsi.SecondLength = self.SecondLength
tsi.SignalLength = self.SignalLength
self.SubscribeCandles(self.CandleType) \
.BindEx(tsi, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, value):
if candle.State != CandleStates.Finished:
return
tsi_val = value.Tsi
signal_val = value.Signal
if tsi_val is None or signal_val is None:
return
tsi = float(tsi_val)
signal = float(signal_val)
if not self._prev_ready:
self._prev_tsi = tsi
self._prev_signal = signal
self._prev_ready = True
return
if self._prev_tsi <= self._prev_signal and tsi > signal and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif self._prev_tsi >= self._prev_signal and tsi < signal and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_tsi = tsi
self._prev_signal = signal
def OnReseted(self):
super(ergodic_ticks_volume_indicator_strategy, self).OnReseted()
self._prev_tsi = 0.0
self._prev_signal = 0.0
self._prev_ready = False
def CreateClone(self):
return ergodic_ticks_volume_indicator_strategy()