Adaptive SMI Ergodic Strategy
The Adaptive SMI Ergodic strategy uses the True Strength Index (TSI) oscillator with an EMA signal line to detect reversals from overbought or oversold extremes. A long position is opened when TSI crosses above the oversold threshold while staying above its signal line. A short position is opened when TSI crosses below the overbought threshold and is below the signal line.
Details
- Entry Criteria:
- TSI crosses above oversold and TSI > signal (long).
- TSI crosses below overbought and TSI < signal (short).
- Long/Short: Both.
- Exit Criteria:
- Reverse signal triggers opposite trade.
- Stops: None.
- Default Values:
LongLength= 12ShortLength= 5SignalLength= 5OversoldThreshold= -0.4OverboughtThreshold= 0.4
- Filters:
- Category: Momentum oscillator
- Direction: Long/Short
- Indicators: True Strength Index, EMA
- Stops: No
- Complexity: Low
- Timeframe: Any
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk level: Low
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Adaptive SMI Ergodic Strategy - uses True Strength Index crossovers with signal line confirmation.
/// </summary>
public class AdaptiveSmiErgodicStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _firstLength;
private readonly StrategyParam<int> _secondLength;
private readonly StrategyParam<int> _signalLength;
private readonly StrategyParam<decimal> _oversoldThreshold;
private readonly StrategyParam<decimal> _overboughtThreshold;
private readonly StrategyParam<int> _cooldownBars;
private decimal _previousTsi;
private int _cooldownRemaining;
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 decimal OversoldThreshold { get => _oversoldThreshold.Value; set => _oversoldThreshold.Value = value; }
public decimal OverboughtThreshold { get => _overboughtThreshold.Value; set => _overboughtThreshold.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public AdaptiveSmiErgodicStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_firstLength = Param(nameof(FirstLength), 25)
.SetGreaterThanZero()
.SetDisplay("First Length", "First smoothing length for TSI", "TSI")
.SetOptimize(10, 30, 5);
_secondLength = Param(nameof(SecondLength), 13)
.SetGreaterThanZero()
.SetDisplay("Second Length", "Second smoothing length for TSI", "TSI")
.SetOptimize(5, 20, 3);
_signalLength = Param(nameof(SignalLength), 7)
.SetGreaterThanZero()
.SetDisplay("Signal Length", "Signal EMA length", "TSI")
.SetOptimize(3, 15, 2);
_oversoldThreshold = Param(nameof(OversoldThreshold), -10m)
.SetDisplay("Oversold Threshold", "Oversold level for TSI", "TSI");
_overboughtThreshold = Param(nameof(OverboughtThreshold), 10m)
.SetDisplay("Overbought Threshold", "Overbought level for TSI", "TSI");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_previousTsi = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_previousTsi = 0;
var tsi = new TrueStrengthIndex
{
FirstLength = FirstLength,
SecondLength = SecondLength,
SignalLength = SignalLength
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(tsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, tsi);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue tsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var tv = (ITrueStrengthIndexValue)tsiValue;
if (tv.Tsi is not decimal tsiVal || tv.Signal is not decimal signalVal)
return;
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_previousTsi = tsiVal;
return;
}
var crossAboveOversold = _previousTsi <= OversoldThreshold && tsiVal > OversoldThreshold;
var crossBelowOverbought = _previousTsi >= OverboughtThreshold && tsiVal < OverboughtThreshold;
if (crossAboveOversold && tsiVal > signalVal && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
else if (crossBelowOverbought && tsiVal < signalVal && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
_previousTsi = tsiVal;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import TrueStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class adaptive_smi_ergodic_strategy(Strategy):
def __init__(self):
super(adaptive_smi_ergodic_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._first_length = self.Param("FirstLength", 25) \
.SetGreaterThanZero() \
.SetDisplay("First Length", "First smoothing length for TSI", "TSI")
self._second_length = self.Param("SecondLength", 13) \
.SetGreaterThanZero() \
.SetDisplay("Second Length", "Second smoothing length for TSI", "TSI")
self._signal_length = self.Param("SignalLength", 7) \
.SetGreaterThanZero() \
.SetDisplay("Signal Length", "Signal EMA length", "TSI")
self._oversold_threshold = self.Param("OversoldThreshold", -10.0) \
.SetDisplay("Oversold Threshold", "Oversold level for TSI", "TSI")
self._overbought_threshold = self.Param("OverboughtThreshold", 10.0) \
.SetDisplay("Overbought Threshold", "Overbought level for TSI", "TSI")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk")
self._previous_tsi = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(adaptive_smi_ergodic_strategy, self).OnReseted()
self._previous_tsi = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(adaptive_smi_ergodic_strategy, self).OnStarted2(time)
self._previous_tsi = 0.0
tsi = TrueStrengthIndex()
tsi.FirstLength = int(self._first_length.Value)
tsi.SecondLength = int(self._second_length.Value)
tsi.SignalLength = int(self._signal_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(tsi, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, tsi)
self.DrawOwnTrades(area)
def _on_process(self, candle, tsi_value):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
if tsi_value.Tsi is None or tsi_value.Signal is None:
return
tsi_val = float(tsi_value.Tsi)
signal_val = float(tsi_value.Signal)
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._previous_tsi = tsi_val
return
oversold = float(self._oversold_threshold.Value)
overbought = float(self._overbought_threshold.Value)
cooldown = int(self._cooldown_bars.Value)
cross_above_oversold = self._previous_tsi <= oversold and tsi_val > oversold
cross_below_overbought = self._previous_tsi >= overbought and tsi_val < overbought
if cross_above_oversold and tsi_val > signal_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif cross_below_overbought and tsi_val < signal_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
self._previous_tsi = tsi_val
def CreateClone(self):
return adaptive_smi_ergodic_strategy()