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Low Volatility Stocks

Reglas de negociación

Calcular retornos diarios simples r[d] = P[d] / P[d−1] − 1 en VolWindowDays intervalos con VolWindowDays + 1 cierres completos. Volatilidad = desviación típica muestral sqrt(Σ(r−mean(r))² / (VolWindowDays−1)). Cada mes comprar el grupo Deciles de menor volatilidad y vender el de mayor: floor(cantidad elegible / Deciles) por lado. Exposición USD igual por lado, sin diferencial de referencia, filtro de tendencia ni umbral intradía.

Se evalúan únicamente velas cerradas sincronizadas. Las estadísticas cuentan fechas UTC distintas; las velas intradía sustituyen el valor de la misma fecha. Se rebalancea una vez en la primera vela conjunta apta de cada mes; los datos incompletos retrasan la decisión. Los empates se ordenan por Security.Id.

Las observaciones deben publicarse antes del cierre de la vela de señal. En intradía solo cuentan fechas UTC anteriores; una vela diaria completa aporta su propia fecha. Los datos CSV futuros no pueden anticipar decisiones.

Datos de entrada

PriceHistoryFile es un CSV opcional de cierres diarios positivos: SecurityId,Date,Close; fecha yyyy-MM-dd. Las fechas actuales o futuras no precalientan decisiones. Los cierres en vivo sustituyen el valor de su fecha UTC. Se rechazan duplicados. Permite preparar ventanas largas con un archivo de ejecución corto.

Parámetros

Parámetro Predeterminado
Universe obligatorio
Capital 100000
Leverage 1
MinTradeUsd 200
CandleType TimeSpan.FromDays(1).TimeFrame()
PriceHistoryFile opcional — sin configurar
VolWindowDays 60
Deciles 10

Ejecución

Universe se configura explícitamente. Los precios y Capital se expresan en USD por unidad negociada. Capital es un presupuesto fijo; Leverage determina la exposición bruta. No se añaden stop loss ni take profit.

Cada cesta recibe la mitad de Capital × Leverage, repartida por igual. Se convierte a unidades al cierre de señal y se redondea hacia cero según VolumeStep. Se usan posiciones realmente ejecutadas, se esperan órdenes pendientes y se respetan MinVolume/MaxVolume dividiendo ajustes grandes entre velas posteriores. MinTradeUsd filtra ajustes pequeños, pero no liquidaciones completas.

Verificación

Ambos lenguajes se prueban con ejecuciones BTC/TON incluidas y fixtures explícitas de tasas, informes, puntuaciones, textos e historial. Las fixtures de calendario trasladan OHLC/volumen y fijan cotizaciones; no son historia de mercado plurianual. Se verifican fórmulas independientes, dirección/tamaño de órdenes, ejecuciones reales, posiciones residuales y fechas prohibidas. Dos grupos, K=1 y AssetDecile=1 son perfiles de mecánica declarados, no prueba del universo completo. Sin promesas de rentabilidad.

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>Low Volatility Stocks with point-in-time inputs and execution-based portfolio accounting.</summary>
public class LowVolatilityStocksStrategy : 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> _volWindowDays;
	private readonly StrategyParam<int> _deciles;
	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>Explicit execution securities with valid native volume metadata.</summary>
	public IEnumerable<Security> Universe { get => _universe.Value; set => _universe.Value = value; }

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

	/// <summary>Finished execution candle type.</summary>
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

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

	/// <summary>Completed daily returns in the sample standard deviation.</summary>
	public int VolWindowDays { get => _volWindowDays.Value; set => _volWindowDays.Value = value; }

	/// <summary>Number of volatility buckets.</summary>
	public int Deciles { get => _deciles.Value; set => _deciles.Value = value; }

	/// <summary>Initialize the strategy parameters.</summary>
	public LowVolatilityStocksStrategy()
	{
		_universe = Param<IEnumerable<Security>>(nameof(Universe)).SetRequired()
			.SetDisplay("Universe", "Explicit execution securities with valid native volume metadata", "Parameters");
		_capital = Param(nameof(Capital), 100000m).SetGreaterThanZero()
			.SetDisplay("Capital", "Fixed 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), 200m).SetRange(0m, decimal.MaxValue)
			.SetDisplay("MinTradeUsd", "Minimum USD adjustment; complete liquidation bypasses this filter", "Parameters");
		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1440).TimeFrame())
			.SetDisplay("CandleType", "Finished execution candle type", "Parameters");
		_priceHistoryFile = Param<string>(nameof(PriceHistoryFile))
			.SetDisplay("PriceHistoryFile", "Optional daily close CSV; future dates cannot prefill a decision", "Parameters");
		_volWindowDays = Param(nameof(VolWindowDays), 60).SetRange(2, int.MaxValue)
			.SetDisplay("VolWindowDays", "Completed daily returns in the sample standard deviation", "Parameters");
		_deciles = Param(nameof(Deciles), 10).SetRange(2, int.MaxValue)
			.SetDisplay("Deciles", "Number of volatility buckets", "Parameters");
	}

	/// <inheritdoc />
	public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
		=> (Universe ?? []).Where(s => s is not null).DistinctBy(s => s.Id, StringComparer.OrdinalIgnoreCase).Select(s => (s, 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 _securities)
		{
			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 _securities)
			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 != _securities.Length || _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;
		ReconcileTargets();
	}

	private decimal Budget => Capital * Leverage;

	private DateTime AsOf(DateTime time)
		=> CandleType.Arg is TimeSpan frame ? time.Add(frame).AddTicks(-1) : time;

	private decimal UnitPrice(Security security) => _latest[security].price;

	private decimal Units(Security security, decimal notional)
		=> Math.Floor(notional / UnitPrice(security) / 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) * UnitPrice(security) < 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 = "0377Rebalance",
			};
			_pending.Add(order);
			RegisterOrder(order);
		}
	}

	private static DateTime ParseUtc(string value)
		=> DateTime.ParseExact(value.Trim(), "yyyy-MM-dd'T'HH:mm:ss'Z'", CultureInfo.InvariantCulture, DateTimeStyles.AssumeUniversal | DateTimeStyles.AdjustToUniversal);

	private static IEnumerable<string[]> ReadRows(string path, string header, int fields)
	{
		using var lines = File.ReadLines(path).GetEnumerator();
		if (!lines.MoveNext() || lines.Current.Trim() != header)
			throw new InvalidOperationException("Invalid CSV header: expected " + header + ".");
		while (lines.MoveNext())
		{
			if (string.IsNullOrWhiteSpace(lines.Current)) continue;
			var row = lines.Current.Split(',');
			if (row.Length != fields) throw new InvalidOperationException("Invalid CSV field count.");
			yield return row;
		}
	}

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

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

	private void LoadPriceHistory()
	{
		if (string.IsNullOrWhiteSpace(PriceHistoryFile)) return;
		foreach (var row in ReadRows(PriceHistoryFile, "SecurityId,Date,Close", 3))
		{
			var security = _securities.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)
	{
		var scores = new List<(Security security, double score)>();
		foreach (var security in _securities)
		{
			var prices = Daily(security, time, VolWindowDays + 1, DateTime.MaxValue);
			if (prices.Length != VolWindowDays + 1) continue;
			var returns = prices.Skip(1).Select((p, i) => (double)(p / prices[i] - 1m)).ToArray();
			var mean = returns.Average();
			var deviation = Math.Sqrt(returns.Sum(r => (r - mean) * (r - mean)) / (VolWindowDays - 1));
			scores.Add((security, deviation));
		}
		if (scores.Count < Deciles) return false;
		var ranked = scores.OrderBy(x => x.score).ThenBy(x => x.security.Id, StringComparer.Ordinal).Select(x => x.security).ToArray();
		var count = ranked.Length / Deciles;
		SetBasketTargets(ranked.Take(count), ranked.TakeLast(count), Budget);
		return true;
	}

	private void SetBasketTargets(IEnumerable<Security> longBasket, IEnumerable<Security> shortBasket, decimal grossCapital)
	{
		var longs = longBasket.ToArray();
		var shorts = shortBasket.ToArray();
		foreach (var security in _securities) _targets[security] = 0m;
		foreach (var security in longs) _targets[security] = Units(security, grossCapital / (2m * longs.Length));
		foreach (var security in shorts) _targets[security] = -Units(security, grossCapital / (2m * shorts.Length));
	}
}