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FrAMA蜡烛趋势策略

该策略将MetaTrader的Exp_FrAMACandle专家顾问转换为StockSharp策略。

策略逻辑

  • 使用**Fractal Adaptive Moving Average (FrAMA)**分别计算蜡烛的开盘价和收盘价。
  • 当收盘价的FrAMA高于开盘价的FrAMA时产生看涨信号。如果前一根蜡烛不是看涨信号，则开多仓并平掉空仓。
  • 当收盘价的FrAMA低于开盘价的FrAMA时产生看跌信号。如果前一根蜡烛不是看跌信号，则开空仓并平掉多仓。
  • 仅处理已完成的蜡烛。为支持SignalBar参数，策略保存颜色历史。

参数

名称 说明
CandleType 指标计算的时间框架，默认4小时。
FramaPeriod FrAMA指标周期。
SignalBar 用于生成信号的蜡烛偏移。
BuyOpen / SellOpen 允许开多/开空。
BuyClose / SellClose 允许平多/平空。

备注

  • 策略只基于FrAMA交叉，不包含止损或止盈管理。
  • 仓位大小由基类的Volume属性控制。
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>
/// FrAMA candle trend-following strategy.
/// Uses FrAMA indicator for trend detection and trades on direction changes.
/// </summary>
public class FramaCandleTrendStrategy : Strategy
{
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _framaPeriod;

	private decimal _prevFramaValue;
	private decimal _prevPrevFramaValue;
	private bool _hasPrev;

	public DataType CandleType
	{
		get => _candleType.Value;
		set => _candleType.Value = value;
	}

	public int FramaPeriod
	{
		get => _framaPeriod.Value;
		set => _framaPeriod.Value = value;
	}

	public FramaCandleTrendStrategy()
	{
		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
			.SetDisplay("Candle Type", "Timeframe for indicator calculation", "General");

		_framaPeriod = Param(nameof(FramaPeriod), 15)
			.SetGreaterThanZero()
			.SetDisplay("FrAMA Period", "Length of the Fractal Adaptive Moving Average", "Indicator");
	}

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

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_prevFramaValue = 0;
		_prevPrevFramaValue = 0;
		_hasPrev = false;
	}

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

		_hasPrev = false;
		_prevFramaValue = 0;
		_prevPrevFramaValue = 0;

		var frama = new FractalAdaptiveMovingAverage { Length = FramaPeriod };

		var subscription = SubscribeCandles(CandleType);
		subscription
			.Bind(frama, OnProcess)
			.Start();

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

	private void OnProcess(ICandleMessage candle, decimal framaValue)
	{
		if (candle.State != CandleStates.Finished)
			return;

		if (!_hasPrev)
		{
			_prevFramaValue = framaValue;
			_hasPrev = true;
			return;
		}

		// Trend direction from FrAMA slope
		var rising = framaValue > _prevFramaValue;
		var falling = framaValue < _prevFramaValue;
		var wasRising = _prevFramaValue > _prevPrevFramaValue;
		var wasFalling = _prevFramaValue < _prevPrevFramaValue;

		// Buy on transition from falling to rising
		if (rising && wasFalling && Position <= 0)
		{
			if (Position < 0) BuyMarket();
			BuyMarket();
		}
		// Sell on transition from rising to falling
		else if (falling && wasRising && Position >= 0)
		{
			if (Position > 0) SellMarket();
			SellMarket();
		}

		_prevPrevFramaValue = _prevFramaValue;
		_prevFramaValue = framaValue;
	}
}