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Trade Panel Autopilot Strategy

Overview

This strategy reproduces the core logic of the original MQL4 "trade panel with autopilot" expert. It aggregates price direction across multiple timeframes and opens or closes a single position according to the dominant market sentiment.

The strategy monitors the latest two candles on eight different timeframes (M1, M5, M15, M30, H1, H4, D1, W1). For each timeframe it compares several price components between the two most recent candles:

  • Open
  • High
  • Low
  • (High + Low) / 2
  • Close
  • (High + Low + Close) / 3
  • (High + Low + Close + Close) / 4

Each comparison contributes to either a buy or sell score. Scores from all timeframes are summed and converted to percentages. When the buy or sell percentage crosses a configured threshold the strategy enters a position. The existing position is closed if the opposite percentage drops below the closing threshold.

Parameters

  • Autopilot — enables or disables automatic trading.
  • OpenThreshold — percentage level required to open a new position. Default: 85.
  • CloseThreshold — percentage level to close an existing position. Default: 55.
  • LotFixed — fixed order volume when UseFixedLot is enabled.
  • LotPercent — volume as a percentage of portfolio value when UseFixedLot is disabled.
  • UseFixedLot — toggles between fixed and percentage volume.
  • UseStopLoss — starts position protection when enabled.

Trading Logic

  1. Subscribe to candles on all configured timeframes.
  2. Calculate buy/sell scores for each new finished candle.
  3. Sum scores across timeframes and compute buy/sell percentages.
  4. If Autopilot is disabled the strategy only tracks scores.
  5. If no position is open and the buy percentage exceeds OpenThreshold, enter a long position. If the sell percentage exceeds the threshold, enter a short position.
  6. If a long position exists and the buy percentage falls below CloseThreshold, exit the position. The same logic applies for short positions using the sell percentage.

Notes

  • The strategy maintains at most one open position at a time.
  • Optional stop-loss management is activated via StartProtection() when UseStopLoss is true.
using System;
using System.Collections.Generic;

using Ecng.Common;

using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Trade panel autopilot strategy v2.
/// Aggregates 7 price comparison metrics over rolling window.
/// Buys when buy percentage exceeds open threshold, sells on opposite.
/// </summary>
public class TradePanelAutopilotStrategy : Strategy
{
	private readonly StrategyParam<decimal> _openThreshold;
	private readonly StrategyParam<decimal> _closeThreshold;
	private readonly StrategyParam<int> _windowSize;
	private readonly StrategyParam<DataType> _candleType;

	private readonly Queue<(int buy, int sell)> _signalWindow = new();
	private ICandleMessage _prevCandle;

	public decimal OpenThreshold { get => _openThreshold.Value; set => _openThreshold.Value = value; }
	public decimal CloseThreshold { get => _closeThreshold.Value; set => _closeThreshold.Value = value; }
	public int WindowSize { get => _windowSize.Value; set => _windowSize.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public TradePanelAutopilotStrategy()
	{
		_openThreshold = Param(nameof(OpenThreshold), 65m)
			.SetDisplay("Open %", "Threshold for new position", "General");

		_closeThreshold = Param(nameof(CloseThreshold), 40m)
			.SetDisplay("Close %", "Threshold for closing", "General");

		_windowSize = Param(nameof(WindowSize), 8)
			.SetGreaterThanZero()
			.SetDisplay("Window Size", "Number of candles for signal aggregation", "General");

		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
			.SetDisplay("Candle Type", "Candle timeframe", "General");
	}

	/// <inheritdoc />
	public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
	{
		return [(Security, CandleType)];
	}

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_prevCandle = null;
		_signalWindow.Clear();
	}

	/// <inheritdoc />
	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		_prevCandle = null;
		_signalWindow.Clear();

		var subscription = SubscribeCandles(CandleType);
		subscription
			.Bind(ProcessCandle)
			.Start();

		var area = CreateChartArea();
		if (area != null)
		{
			DrawCandles(area, subscription);
			DrawOwnTrades(area);
		}
	}

	private void ProcessCandle(ICandleMessage candle)
	{
		if (candle.State != CandleStates.Finished)
			return;

		if (_prevCandle == null)
		{
			_prevCandle = candle;
			return;
		}

		int buy = 0, sell = 0;

		if (candle.OpenPrice > _prevCandle.OpenPrice) buy++; else sell++;
		if (candle.HighPrice > _prevCandle.HighPrice) buy++; else sell++;
		if (candle.LowPrice > _prevCandle.LowPrice) buy++; else sell++;
		if (candle.ClosePrice > _prevCandle.ClosePrice) buy++; else sell++;

		var hlCurr = (candle.HighPrice + candle.LowPrice) / 2m;
		var hlPrev = (_prevCandle.HighPrice + _prevCandle.LowPrice) / 2m;
		if (hlCurr > hlPrev) buy++; else sell++;

		var hlcCurr = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 3m;
		var hlcPrev = (_prevCandle.HighPrice + _prevCandle.LowPrice + _prevCandle.ClosePrice) / 3m;
		if (hlcCurr > hlcPrev) buy++; else sell++;

		var hlccCurr = (candle.HighPrice + candle.LowPrice + 2m * candle.ClosePrice) / 4m;
		var hlccPrev = (_prevCandle.HighPrice + _prevCandle.LowPrice + 2m * _prevCandle.ClosePrice) / 4m;
		if (hlccCurr > hlccPrev) buy++; else sell++;

		_signalWindow.Enqueue((buy, sell));

		while (_signalWindow.Count > WindowSize)
			_signalWindow.Dequeue();

		_prevCandle = candle;

		if (_signalWindow.Count < WindowSize)
			return;

		int totalBuy = 0, totalSell = 0;
		foreach (var (b, s) in _signalWindow)
		{
			totalBuy += b;
			totalSell += s;
		}

		var total = totalBuy + totalSell;
		if (total == 0) return;

		var buyPct = (decimal)totalBuy / total * 100m;
		var sellPct = (decimal)totalSell / total * 100m;

		if (Position > 0 && buyPct < CloseThreshold)
			SellMarket();
		else if (Position < 0 && sellPct < CloseThreshold)
			BuyMarket();

		if (Position == 0)
		{
			if (buyPct >= OpenThreshold)
				BuyMarket();
			else if (sellPct >= OpenThreshold)
				SellMarket();
		}
	}
}