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Asset Class Trend Following

交易规则

每个标的的 SMA 为最近 SmaLength 个不同日期收盘价的算术平均，包含当前已完成收盘。只在 Close > SMA 时持有多头。每月将 Capital × Leverage 在合格标的间等额分配；无候选时持现金。之后 Close <= SMA 立即完整平仓，不等待下个月；下次月度分配前不重新入场。不使用相对基准强弱过滤。

仅处理时间戳一致的已完成蜡烛。统计按不同 UTC 日期计数，同一天的盘中收盘值会被后续值替换。每月在第一个满足条件的同步收盘信号上再平衡一次；数据不足时延迟。相同分数按 Security.Id 排序。

盘中 CandleType 的日统计只使用严格早于当前信号日期的 UTC 日期，排除尚未完成的当天。已完成的一日蜡烛可计入自己的完整日期。

输入数据

PriceHistoryFile 为可选的正值日收盘价 CSV：SecurityId,Date,Close；日期格式 yyyy-MM-dd。当前或未来日期不能提前预热决策，实时已完成蜡烛覆盖对应 UTC 日期。禁止重复日期。执行历史较短时可用于长周期预热。

参数

参数 默认值
Universe 必填
Capital 100000
Leverage 1
MinTradeUsd 50
CandleType TimeSpan.FromDays(1).TimeFrame()
PriceHistoryFile 可选 — 未提供
SmaLength 210

成交与仓位

必须显式设置 Universe。价格与 Capital 采用 USD，每个价格单位对应一个交易单位。Capital 是固定预算，Leverage 控制总敞口。不添加止损或止盈。

按信号收盘价换算数量，并按 VolumeStep 向零取整。根据实际成交仓位调整，等待未完成订单，遵守 MinVolume/MaxVolume，并在后续蜡烛继续大额调整。MinTradeUsd 过滤小额调整，但完整平仓不受此过滤限制。

验证

成交测试仅使用已有 BTC/TON 执行档案。显式财报、期权观测和预热数据是机制测试夹具，不是真实企业财务或期权历史。缩短周期、两组排序和三月年度调仓是明确的测试配置，不代表原始长期默认值已完整交易验证。不声称任何收益率。

namespace StockSharp.Samples.Strategies;

using System;
using System.Collections.Generic;
using System.Globalization;
using System.IO;
using System.Linq;

using Ecng.Common;

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

/// <summary>Asset Class Trend Following with explicit inputs and execution-based portfolio accounting.</summary>
public class AssetClassTrendFollowingStrategy : Strategy
{
	private readonly StrategyParam<IEnumerable<Security>> _universe;
	private readonly StrategyParam<decimal> _capital;
	private readonly StrategyParam<decimal> _leverage;
	private readonly StrategyParam<decimal> _minTradeUsd;
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<string> _priceHistoryFile;
	private readonly StrategyParam<int> _smaLength;
	private Security[] _securities = [];
	private readonly Dictionary<Security, (DateTime time, decimal price)> _latest = [];
	private readonly Dictionary<Security, SortedDictionary<DateTime, decimal>> _history = [];
	private readonly Dictionary<Security, decimal> _targets = [];
	private readonly List<Order> _pending = [];
	private int _lastRebalance;
	private DateTime? _lastBar;

	/// <summary>Execution securities with USD prices and valid volume metadata.</summary>
	public IEnumerable<Security> Universe { get => _universe.Value; set => _universe.Value = value; }

	/// <summary>Fixed gross capital budget in USD.</summary>
	public decimal Capital { get => _capital.Value; set => _capital.Value = value; }

	/// <summary>Gross target exposure divided by the capital budget.</summary>
	public decimal Leverage { get => _leverage.Value; set => _leverage.Value = value; }

	/// <summary>Minimum notional adjustment; complete liquidation bypasses this filter.</summary>
	public decimal MinTradeUsd { get => _minTradeUsd.Value; set => _minTradeUsd.Value = value; }

	/// <summary>Closed candle type; daily statistics count distinct UTC dates.</summary>
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	/// <summary>Optional daily close CSV for warmup; current and future dates cannot prefill a decision.</summary>
	public string PriceHistoryFile { get => _priceHistoryFile.Value; set => _priceHistoryFile.Value = value; }

	/// <summary>Distinct daily closes in the simple moving average.</summary>
	public int SmaLength { get => _smaLength.Value; set => _smaLength.Value = value; }

	/// <summary>Initialize the published strategy parameters.</summary>
	public AssetClassTrendFollowingStrategy()
	{
		_universe = Param<IEnumerable<Security>>(nameof(Universe)).SetRequired()
			.SetDisplay("Universe", "Execution securities with USD prices and valid volume metadata", "Parameters");
		_capital = Param(nameof(Capital), 100000m).SetGreaterThanZero()
			.SetDisplay("Capital", "Fixed gross capital budget in USD", "Parameters");
		_leverage = Param(nameof(Leverage), 1m).SetGreaterThanZero()
			.SetDisplay("Leverage", "Gross target exposure divided by the capital budget", "Parameters");
		_minTradeUsd = Param(nameof(MinTradeUsd), 50m).SetRange(0m, decimal.MaxValue)
			.SetDisplay("MinTradeUsd", "Minimum notional adjustment; complete liquidation bypasses this filter", "Parameters");
		_candleType = Param(nameof(CandleType), TimeSpan.FromDays(1).TimeFrame())
			.SetDisplay("CandleType", "Closed candle type; daily statistics count distinct UTC dates", "Parameters");
		_priceHistoryFile = Param<string>(nameof(PriceHistoryFile))
			.SetDisplay("PriceHistoryFile", "Optional daily close CSV for warmup; current and future dates cannot prefill a decision", "Parameters");
		_smaLength = Param(nameof(SmaLength), 210).SetGreaterThanZero()
			.SetDisplay("SmaLength", "Distinct daily closes in the simple moving average", "Parameters");
	}

	/// <inheritdoc />
	public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
	{
		foreach (var security in (Universe ?? []).DistinctBy(s => s.Id, StringComparer.OrdinalIgnoreCase))
			yield return (security, CandleType);
	}

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_securities = [];
		_latest.Clear();
		_history.Clear();
		_targets.Clear();
		_pending.Clear();
		_lastRebalance = 0;
		_lastBar = null;

	}

	/// <inheritdoc />
	protected override void OnStarted2(DateTime time)
	{
		_securities = (Universe ?? []).ToArray();
		if (_securities.Length == 0 || _securities.Any(s => s is null || string.IsNullOrWhiteSpace(s.Id))
			|| _securities.Select(s => s.Id).Distinct(StringComparer.OrdinalIgnoreCase).Count() != _securities.Length)
			throw new InvalidOperationException("Universe must contain distinct execution securities.");
		foreach (var security in GetWorkingSecurities().Select(x => x.sec))
		{
			if (security.VolumeStep is not > 0m || security.MinVolume is not > 0m || security.MaxVolume is not > 0m)
				throw new InvalidOperationException("Every security needs positive VolumeStep, MinVolume and MaxVolume.");
			_history[security] = [];
		}

		LoadPriceHistory();
		base.OnStarted2(time);
		foreach (var security in GetWorkingSecurities().Select(x => x.sec))
			SubscribeCandles(CandleType, security: security).Bind(candle => ProcessCandle(security, candle)).Start();
	}

	private void ProcessCandle(Security security, ICandleMessage candle)
	{
		if (candle.State != CandleStates.Finished || candle.ClosePrice <= 0m) return;
		_latest[security] = (candle.OpenTime, candle.ClosePrice);
		_history[security][candle.OpenTime.Date] = candle.ClosePrice;
		if (_latest.Count != _history.Count || _latest.Values.Any(v => v.time != candle.OpenTime)
			|| _lastBar == candle.OpenTime || !IsFormedAndOnlineAndAllowTrading()) return;
		_lastBar = candle.OpenTime;
		var month = candle.OpenTime.Year * 100 + candle.OpenTime.Month;

		if (_lastRebalance != month && SelectTargets(candle.OpenTime))
			_lastRebalance = month;
		ApplyTrendExits(candle.OpenTime);
		ReconcileTargets();
	}

	private decimal[] Daily(Security security, DateTime time)
		=> _history[security].Where(x => x.Key <= LastClosedDate(time)).Select(x => x.Value).ToArray();

	private DateTime LastClosedDate(DateTime time)
		=> CandleType.Arg is TimeSpan frame && frame == TimeSpan.FromDays(1) ? time.Date : time.Date.AddDays(-1);

	private decimal Units(Security security, decimal notional)
		=> Math.Floor(notional / _latest[security].price / security.VolumeStep.Value) * security.VolumeStep.Value;

	private void ReconcileTargets()
	{
		if (_pending.Any(o => o.State is not (OrderStates.Done or OrderStates.Failed))) return;
		_pending.Clear();
		foreach (var security in _securities)
		{
			if (!_targets.TryGetValue(security, out var target)) continue;
			var delta = target - GetPositionValue(security, Portfolio).GetValueOrDefault();
			if (delta == 0m || (target != 0m && Math.Abs(delta) * _latest[security].price < MinTradeUsd)) continue;
			var step = security.VolumeStep.Value;
			var quantity = Math.Floor(Math.Min(Math.Abs(delta), security.MaxVolume.Value) / step) * step;
			if (quantity < security.MinVolume.Value) continue;
			var order = new Order
			{
				Security = security, Portfolio = Portfolio, Type = OrderTypes.Market,
				Side = delta > 0m ? Sides.Buy : Sides.Sell, Volume = quantity, Comment = "0352Rebalance",
			};
			_pending.Add(order);
			RegisterOrder(order);
		}
	}

	private void LoadPriceHistory()
	{
		if (string.IsNullOrWhiteSpace(PriceHistoryFile)) return;
		var lines = File.ReadLines(PriceHistoryFile).GetEnumerator();
		using (lines)
		{
			if (!lines.MoveNext() || lines.Current.Trim() != "SecurityId,Date,Close")
				throw new InvalidOperationException("Price history must begin with SecurityId,Date,Close.");
			while (lines.MoveNext())
			{
				if (string.IsNullOrWhiteSpace(lines.Current)) continue;
				var row = lines.Current.Split(',');
				if (row.Length != 3) throw new InvalidOperationException("A daily price row must have three fields.");
				var security = _history.Keys.SingleOrDefault(s => string.Equals(s.Id, row[0].Trim(), StringComparison.OrdinalIgnoreCase));
				if (security is null) continue;
				var date = DateTime.ParseExact(row[1].Trim(), "yyyy-MM-dd", CultureInfo.InvariantCulture);
				var price = decimal.Parse(row[2], CultureInfo.InvariantCulture);
				if (price <= 0m || !_history[security].TryAdd(date, price))
					throw new InvalidOperationException("Daily prices must be positive and unique per security and UTC date.");
			}
		}
	}

	private bool SelectTargets(DateTime time)
	{
		if (_securities.Any(s => Daily(s, time).Length < SmaLength)) return false;
		var eligible = _securities.Where(s => _latest[s].price > Daily(s, time).TakeLast(SmaLength).Average()).ToArray();
		foreach (var s in _securities)
			_targets[s] = eligible.Contains(s) ? Units(s, Capital * Leverage / eligible.Length) : 0m;
		return true;
	}

	private void ApplyTrendExits(DateTime time)
	{
		foreach (var s in _securities)
		{
			var history = Daily(s, time);
			if (history.Length >= SmaLength && _latest[s].price <= history.TakeLast(SmaLength).Average())
				_targets[s] = 0m;
		}
	}

}