Three Indicators Strategy
Overview
This strategy is a StockSharp conversion of the original "Three indicators" MQL5 expert. It evaluates three classical oscillators—MACD, Stochastic Oscillator, and RSI—on every finished candle of the selected timeframe. Only when all filters align does the strategy enter a position, ensuring that each trade follows a consistent multi-indicator confirmation.
Trading Logic
- Candle Direction Filter – compares the open price of the current finished candle with the open price of the previous one. A higher open favours long trades, a lower open favours shorts.
- MACD Slope Filter – observes the slope of the MACD main line (difference between the current and the previous MACD main value). A falling MACD favours long positions, a rising MACD favours shorts, exactly as in the source expert.
- Stochastic Bias Filter – checks whether the %D value is below or above the 50 midpoint. Values below 50 support longs, values above 50 support shorts.
- RSI Bias Filter – uses the RSI value relative to 50. Values below 50 authorise longs, values above 50 authorise shorts.
Only if all four filters support the same direction will the strategy open a new trade. If an opposite signal appears while a position is open, the strategy immediately reverses by sending a single market order that closes the existing exposure and opens the new direction, mirroring the behaviour of the original MQL logic.
Parameters
| Parameter |
Description |
CandleType |
Timeframe of the candles supplied to the strategy. Default: 1 minute. |
TradeVolume |
Volume used when opening a position or reversing to the opposite side. |
MacdFastPeriod |
Fast EMA length inside the MACD calculation. |
MacdSlowPeriod |
Slow EMA length inside the MACD calculation. |
MacdSignalPeriod |
EMA length for the MACD signal line. |
MacdPriceType |
Applied price fed to the MACD indicator (Close, Open, High, Low, Median, Typical, Weighted). |
StochasticKPeriod |
Lookback period for the %K line. |
StochasticDPeriod |
Smoothing period for the %D line. |
StochasticSlowing |
Additional smoothing applied to %K before %D is calculated. |
RsiPeriod |
Averaging period used by the RSI filter. |
RsiPriceType |
Applied price used when feeding the RSI indicator. |
Indicators
- MACD (Moving Average Convergence Divergence) – configured with the user-specified fast, slow, and signal lengths.
- Stochastic Oscillator – uses the StockSharp implementation with configurable %K/%D lengths and slowing.
- Relative Strength Index (RSI) – provides the final momentum confirmation.
Behaviour Notes
- The strategy processes only finished candles, improving stability compared to the tick-based trigger in the original expert.
- The 30-second pause present in the MQL version is removed; reversals are issued immediately with the combined market order.
- Stochastic smoothing uses StockSharp's default moving average implementation, which corresponds to the standard SMA-based smoothing of the original script.
- Price-source selection for MACD and RSI is provided through the
IndicatorAppliedPrice enum, matching the options available in MetaTrader (Close, Open, High, Low, Median, Typical, Weighted).
Risk Management
No stop-loss or take-profit orders are placed automatically. Position management is driven exclusively by the multi-indicator reversal logic. Add external risk controls if required.
Usage Tips
- Select the desired instrument and timeframe through
CandleType.
- Adjust indicator parameters to suit the market's volatility and signal frequency.
- Monitor the chart objects added by the strategy (candles plus the three indicators) to validate signal alignment.
- Combine with external money management if fixed stops or profit targets are required.
namespace StockSharp.Samples.Strategies;
using System;
using StockSharp.Algo;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// Combines MACD, Stochastic Oscillator, and RSI filters.
/// All three indicators must agree on direction to enter a trade.
/// </summary>
public class ThreeIndicatorsStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _macdFastPeriod;
private readonly StrategyParam<int> _macdSlowPeriod;
private readonly StrategyParam<int> _macdSignalPeriod;
private readonly StrategyParam<int> _stochasticKPeriod;
private readonly StrategyParam<int> _stochasticDPeriod;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _signalCooldownBars;
private decimal? _previousOpen;
private decimal? _previousMacdMain;
private int _previousCompositeSignal;
private int _cooldownRemaining;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int MacdFastPeriod { get => _macdFastPeriod.Value; set => _macdFastPeriod.Value = value; }
public int MacdSlowPeriod { get => _macdSlowPeriod.Value; set => _macdSlowPeriod.Value = value; }
public int MacdSignalPeriod { get => _macdSignalPeriod.Value; set => _macdSignalPeriod.Value = value; }
public int StochasticKPeriod { get => _stochasticKPeriod.Value; set => _stochasticKPeriod.Value = value; }
public int StochasticDPeriod { get => _stochasticDPeriod.Value; set => _stochasticDPeriod.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public int SignalCooldownBars { get => _signalCooldownBars.Value; set => _signalCooldownBars.Value = value; }
public ThreeIndicatorsStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle type", "Primary timeframe", "General");
_macdFastPeriod = Param(nameof(MacdFastPeriod), 11)
.SetDisplay("MACD fast", "Fast EMA length", "MACD");
_macdSlowPeriod = Param(nameof(MacdSlowPeriod), 53)
.SetDisplay("MACD slow", "Slow EMA length", "MACD");
_macdSignalPeriod = Param(nameof(MacdSignalPeriod), 26)
.SetDisplay("MACD signal", "Signal smoothing", "MACD");
_stochasticKPeriod = Param(nameof(StochasticKPeriod), 40)
.SetDisplay("Stochastic %K", "%K length", "Stochastic");
_stochasticDPeriod = Param(nameof(StochasticDPeriod), 23)
.SetDisplay("Stochastic %D", "%D smoothing", "Stochastic");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetDisplay("RSI period", "RSI length", "RSI");
_signalCooldownBars = Param(nameof(SignalCooldownBars), 2)
.SetNotNegative()
.SetDisplay("Signal Cooldown Bars", "Closed candles to wait before a new entry", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_previousOpen = null;
_previousMacdMain = null;
_previousCompositeSignal = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_previousOpen = null;
_previousMacdMain = null;
_previousCompositeSignal = 0;
_cooldownRemaining = 0;
var macd = new MovingAverageConvergenceDivergenceSignal();
macd.Macd.ShortMa.Length = MacdFastPeriod;
macd.Macd.LongMa.Length = MacdSlowPeriod;
macd.SignalMa.Length = MacdSignalPeriod;
var stochastic = new StochasticOscillator();
stochastic.K.Length = StochasticKPeriod;
stochastic.D.Length = StochasticDPeriod;
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(macd, stochastic, rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue macdValue, IIndicatorValue stochValue, IIndicatorValue rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!macdValue.IsFinal || !stochValue.IsFinal || !rsiValue.IsFinal)
return;
if (_cooldownRemaining > 0)
_cooldownRemaining--;
if (!macdValue.IsFormed || !stochValue.IsFormed || !rsiValue.IsFormed)
return;
var macdVal = (MovingAverageConvergenceDivergenceSignalValue)macdValue;
var macdMain = macdVal.Macd ?? 0m;
var stoch = (StochasticOscillatorValue)stochValue;
var stochasticD = stoch.D ?? 50m;
var rsi = rsiValue.GetValue<decimal>();
if (_previousOpen == null || _previousMacdMain == null)
{
_previousOpen = candle.OpenPrice;
_previousMacdMain = macdMain;
return;
}
// Candle direction
var candleSignal = candle.OpenPrice > _previousOpen.Value ? 1 : candle.OpenPrice < _previousOpen.Value ? -1 : 0;
// MACD direction (difference decreasing = bullish momentum)
var macdDelta = macdMain - _previousMacdMain.Value;
var macdSignal = macdDelta < 0m ? 1 : macdDelta > 0m ? -1 : 0;
// Stochastic direction
var stochSignal = stochasticD < 50m ? 1 : stochasticD > 50m ? -1 : 0;
// RSI direction
var rsiSignal = rsi < 50m ? 1 : rsi > 50m ? -1 : 0;
var longSignal = candleSignal >= 0 && macdSignal >= 0 && stochSignal >= 0 && rsiSignal >= 0;
var shortSignal = candleSignal <= 0 && macdSignal <= 0 && stochSignal <= 0 && rsiSignal <= 0;
var compositeSignal = longSignal ? 1 : shortSignal ? -1 : 0;
if (_cooldownRemaining == 0 && compositeSignal != 0 && compositeSignal != _previousCompositeSignal)
{
if (compositeSignal > 0 && Position <= 0)
{
BuyMarket(Volume + (Position < 0 ? -Position : 0m));
_cooldownRemaining = SignalCooldownBars;
}
else if (compositeSignal < 0 && Position >= 0)
{
SellMarket(Volume + (Position > 0 ? Position : 0m));
_cooldownRemaining = SignalCooldownBars;
}
}
_previousOpen = candle.OpenPrice;
_previousMacdMain = macdMain;
_previousCompositeSignal = compositeSignal;
}
}
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 (
MovingAverageConvergenceDivergenceSignal,
StochasticOscillator,
RelativeStrengthIndex,
)
from StockSharp.Algo.Strategies import Strategy
class three_indicators_strategy(Strategy):
def __init__(self):
super(three_indicators_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle type", "Primary timeframe", "General")
self._macd_fast_period = self.Param("MacdFastPeriod", 11) \
.SetDisplay("MACD fast", "Fast EMA length", "MACD")
self._macd_slow_period = self.Param("MacdSlowPeriod", 53) \
.SetDisplay("MACD slow", "Slow EMA length", "MACD")
self._macd_signal_period = self.Param("MacdSignalPeriod", 26) \
.SetDisplay("MACD signal", "Signal smoothing", "MACD")
self._stochastic_k_period = self.Param("StochasticKPeriod", 40) \
.SetDisplay("Stochastic %K", "%K length", "Stochastic")
self._stochastic_d_period = self.Param("StochasticDPeriod", 23) \
.SetDisplay("Stochastic %D", "%D smoothing", "Stochastic")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI period", "RSI length", "RSI")
self._signal_cooldown_bars = self.Param("SignalCooldownBars", 2) \
.SetDisplay("Signal Cooldown Bars", "Closed candles to wait before a new entry", "General")
self._previous_open = None
self._previous_macd_main = None
self._previous_composite_signal = 0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
@property
def macd_fast_period(self):
return self._macd_fast_period.Value
@property
def macd_slow_period(self):
return self._macd_slow_period.Value
@property
def macd_signal_period(self):
return self._macd_signal_period.Value
@property
def stochastic_k_period(self):
return self._stochastic_k_period.Value
@property
def stochastic_d_period(self):
return self._stochastic_d_period.Value
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def signal_cooldown_bars(self):
return self._signal_cooldown_bars.Value
def OnReseted(self):
super(three_indicators_strategy, self).OnReseted()
self._previous_open = None
self._previous_macd_main = None
self._previous_composite_signal = 0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(three_indicators_strategy, self).OnStarted2(time)
self._previous_open = None
self._previous_macd_main = None
self._previous_composite_signal = 0
self._cooldown_remaining = 0
macd = MovingAverageConvergenceDivergenceSignal()
macd.Macd.ShortMa.Length = self.macd_fast_period
macd.Macd.LongMa.Length = self.macd_slow_period
macd.SignalMa.Length = self.macd_signal_period
stochastic = StochasticOscillator()
stochastic.K.Length = self.stochastic_k_period
stochastic.D.Length = self.stochastic_d_period
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(macd, stochastic, rsi, self._process_candle).Start()
def _process_candle(self, candle, macd_value, stoch_value, rsi_value):
if candle.State != CandleStates.Finished:
return
if not macd_value.IsFinal or not stoch_value.IsFinal or not rsi_value.IsFinal:
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
if not macd_value.IsFormed or not stoch_value.IsFormed or not rsi_value.IsFormed:
return
macd_main = macd_value.Macd if macd_value.Macd is not None else 0.0
stochastic_d = stoch_value.D if stoch_value.D is not None else 50.0
rsi = float(rsi_value)
if self._previous_open is None or self._previous_macd_main is None:
self._previous_open = float(candle.OpenPrice)
self._previous_macd_main = float(macd_main)
return
open_price = float(candle.OpenPrice)
# Candle direction
if open_price > self._previous_open:
candle_signal = 1
elif open_price < self._previous_open:
candle_signal = -1
else:
candle_signal = 0
# MACD direction
macd_delta = float(macd_main) - self._previous_macd_main
if macd_delta < 0:
macd_signal = 1
elif macd_delta > 0:
macd_signal = -1
else:
macd_signal = 0
# Stochastic direction
stoch_d_val = float(stochastic_d)
if stoch_d_val < 50.0:
stoch_signal = 1
elif stoch_d_val > 50.0:
stoch_signal = -1
else:
stoch_signal = 0
# RSI direction
if rsi < 50.0:
rsi_signal = 1
elif rsi > 50.0:
rsi_signal = -1
else:
rsi_signal = 0
long_signal = candle_signal >= 0 and macd_signal >= 0 and stoch_signal >= 0 and rsi_signal >= 0
short_signal = candle_signal <= 0 and macd_signal <= 0 and stoch_signal <= 0 and rsi_signal <= 0
if long_signal:
composite_signal = 1
elif short_signal:
composite_signal = -1
else:
composite_signal = 0
if self._cooldown_remaining == 0 and composite_signal != 0 and composite_signal != self._previous_composite_signal:
if composite_signal > 0 and self.Position <= 0:
vol = self.Volume + (-self.Position if self.Position < 0 else 0)
self.BuyMarket(vol)
self._cooldown_remaining = self.signal_cooldown_bars
elif composite_signal < 0 and self.Position >= 0:
vol = self.Volume + (self.Position if self.Position > 0 else 0)
self.SellMarket(vol)
self._cooldown_remaining = self.signal_cooldown_bars
self._previous_open = open_price
self._previous_macd_main = float(macd_main)
self._previous_composite_signal = composite_signal
def CreateClone(self):
return three_indicators_strategy()