Momentum Factor Stocks
Regras de negociação
Em cada revisão mensal exigir LookbackDays + 1 fechamentos diários completos. Momentum = P[d−SkipDays] / P[d−LookbackDays] − 1; SkipDays deve ser menor que LookbackDays. Excluir os últimos SkipDays intervalos, sem subtrair dois indicadores ROC separados. Comprar o Quintile superior e vender o inferior, floor(quantidade elegível / Quintile) por lado. Manter as quantidades nativas arredondadas até a próxima revisão.
Somente velas encerradas sincronizadas são avaliadas. As estatísticas contam datas UTC distintas; novas velas intradiárias substituem o valor da mesma data. Há um rebalanceamento na primeira vela conjunta apta de cada mês; dados incompletos adiam a decisão. Empates são ordenados por Security.Id.
Observações devem ser publicadas até o fechamento da vela de sinal. No intradiário contam apenas datas UTC anteriores; uma vela diária completa contribui sua própria data. Datas CSV futuras não antecipam decisões.
Dados de entrada
PriceHistoryFile é um CSV opcional de fechamentos diários positivos: SecurityId,Date,Close; data yyyy-MM-dd. Datas atuais e futuras não antecipam o aquecimento. Fechamentos ao vivo substituem o valor da sua data UTC. Duplicatas são rejeitadas. Permite preparar janelas longas com um arquivo de execução curto.
Parâmetros
| Parâmetro | Padrão |
|---|---|
Universe |
obrigatório |
Capital |
100000 |
Leverage |
1 |
MinTradeUsd |
200 |
CandleType |
TimeSpan.FromDays(1).TimeFrame() |
PriceHistoryFile |
opcional — não definido |
LookbackDays |
252 |
SkipDays |
21 |
Quintile |
5 |
Execução
Universe é definido explicitamente. Preços e Capital usam USD por unidade negociada. Capital é um orçamento fixo; Leverage define a exposição bruta. Não são adicionados stop loss nem take profit.
Cada cesta recebe metade de Capital × Leverage, dividida igualmente. As unidades são calculadas pelo fechamento do sinal e arredondadas para zero conforme VolumeStep. Usam-se posições realmente executadas, aguardam-se ordens pendentes e respeitam-se MinVolume/MaxVolume, dividindo grandes ajustes entre velas posteriores. MinTradeUsd filtra pequenos ajustes, mas não liquidações completas.
Verificação
Ambas as linguagens usam execuções BTC/TON incluídas e fixtures explícitas de taxas, relatórios, pontuações, textos e aquecimento. Fixtures de calendário deslocam OHLC/volume e definem cotações; não são histórico plurianual. Fórmulas independentes, direção/tamanho das ordens, execuções reais, posições residuais e datas proibidas são verificadas. Dois grupos, K=1 e AssetDecile=1 são perfis declarados de mecânica, não prova do universo completo. Sem promessa de rentabilidade.
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>Momentum Factor Stocks with point-in-time inputs and execution-based portfolio accounting.</summary>
public class MomentumFactorStocksStrategy : 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> _lookbackDays;
private readonly StrategyParam<int> _skipDays;
private readonly StrategyParam<int> _quintile;
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>Daily return intervals from the start of the momentum window.</summary>
public int LookbackDays { get => _lookbackDays.Value; set => _lookbackDays.Value = value; }
/// <summary>Most recent daily return intervals excluded from momentum.</summary>
public int SkipDays { get => _skipDays.Value; set => _skipDays.Value = value; }
/// <summary>Number of momentum buckets.</summary>
public int Quintile { get => _quintile.Value; set => _quintile.Value = value; }
/// <summary>Initialize the strategy parameters.</summary>
public MomentumFactorStocksStrategy()
{
_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");
_lookbackDays = Param(nameof(LookbackDays), 252).SetRange(1, int.MaxValue)
.SetDisplay("LookbackDays", "Daily return intervals from the start of the momentum window", "Parameters");
_skipDays = Param(nameof(SkipDays), 21).SetRange(0, int.MaxValue)
.SetDisplay("SkipDays", "Most recent daily return intervals excluded from momentum", "Parameters");
_quintile = Param(nameof(Quintile), 5).SetRange(2, int.MaxValue)
.SetDisplay("Quintile", "Number of momentum 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();
if (SkipDays >= LookbackDays) throw new InvalidOperationException("SkipDays must be smaller than LookbackDays.");
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 = "0379Rebalance",
};
_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, decimal score)>();
foreach (var security in _securities)
{
var prices = Daily(security, time, LookbackDays + 1, DateTime.MaxValue);
if (prices.Length != LookbackDays + 1) continue;
scores.Add((security, prices[^(SkipDays + 1)] / prices[0] - 1m));
}
if (scores.Count < Quintile) return false;
var ranked = scores.OrderByDescending(x => x.score).ThenBy(x => x.security.Id, StringComparer.Ordinal).Select(x => x.security).ToArray();
var count = ranked.Length / Quintile;
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));
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.BusinessEntities")
clr.AddReference("StockSharp.Algo.Strategies")
from System import Boolean, DateTime, Decimal, Int32, Math, TimeSpan, InvalidOperationException
from System.Collections.Generic import IEnumerable
from System.Globalization import CultureInfo, DateTimeStyles
from System.IO import File, Path
from StockSharp.Algo.Strategies import Strategy
from StockSharp.BusinessEntities import Order, Security
from StockSharp.Messages import CandleStates, DataType, OrderStates, OrderTypes, Sides
class momentum_factor_stocks_strategy(Strategy):
"""Momentum Factor Stocks with point-in-time inputs and execution-based portfolio accounting."""
def __init__(self):
super(momentum_factor_stocks_strategy, self).__init__()
self._universe = self.Param[IEnumerable[Security]]("Universe", None).SetRequired() \
.SetDisplay("Universe", "Explicit execution securities with valid native volume metadata", "Parameters")
self._capital = self.Param("Capital", Decimal(100000)).SetGreaterThanZero() \
.SetDisplay("Capital", "Fixed capital budget in USD", "Parameters")
self._leverage = self.Param("Leverage", Decimal(1)).SetGreaterThanZero() \
.SetDisplay("Leverage", "Gross target exposure divided by the capital budget", "Parameters")
self._min_trade_usd = self.Param("MinTradeUsd", Decimal(200)).SetRange(Decimal(0), Decimal.MaxValue) \
.SetDisplay("MinTradeUsd", "Minimum USD adjustment; complete liquidation bypasses this filter", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1440))) \
.SetDisplay("CandleType", "Finished execution candle type", "Parameters")
self._price_history_file = self.Param[str]("PriceHistoryFile", None) \
.SetDisplay("PriceHistoryFile", "Optional daily close CSV; future dates cannot prefill a decision", "Parameters")
self._lookback_days = self.Param("LookbackDays", 252).SetRange(1, 2147483647) \
.SetDisplay("LookbackDays", "Daily return intervals from the start of the momentum window", "Parameters")
self._skip_days = self.Param("SkipDays", 21).SetRange(0, 2147483647) \
.SetDisplay("SkipDays", "Most recent daily return intervals excluded from momentum", "Parameters")
self._quintile = self.Param("Quintile", 5).SetRange(2, 2147483647) \
.SetDisplay("Quintile", "Number of momentum buckets", "Parameters")
self._clear_state()
def _clear_state(self):
self._securities = []
self._latest = {}
self._history = {}
self._targets = {}
self._pending = []
self._last_rebalance = 0
self._last_bar = None
@property
def Universe(self):
return self._universe.Value
@Universe.setter
def Universe(self, value):
self._universe.Value = value
@property
def Capital(self):
return self._capital.Value
@Capital.setter
def Capital(self, value):
self._capital.Value = value
@property
def Leverage(self):
return self._leverage.Value
@Leverage.setter
def Leverage(self, value):
self._leverage.Value = value
@property
def MinTradeUsd(self):
return self._min_trade_usd.Value
@MinTradeUsd.setter
def MinTradeUsd(self, value):
self._min_trade_usd.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def PriceHistoryFile(self):
return self._price_history_file.Value
@PriceHistoryFile.setter
def PriceHistoryFile(self, value):
self._price_history_file.Value = value
@property
def LookbackDays(self):
return self._lookback_days.Value
@LookbackDays.setter
def LookbackDays(self, value):
self._lookback_days.Value = value
@property
def SkipDays(self):
return self._skip_days.Value
@SkipDays.setter
def SkipDays(self, value):
self._skip_days.Value = value
@property
def Quintile(self):
return self._quintile.Value
@Quintile.setter
def Quintile(self, value):
self._quintile.Value = value
def GetWorkingSecurities(self):
return [(s, self.CandleType) for s in self.Universe] if self.Universe is not None else []
def OnReseted(self):
super(momentum_factor_stocks_strategy, self).OnReseted()
self._clear_state()
def OnStarted2(self, time):
self._securities = list(self.Universe) if self.Universe is not None else []
if not self._securities or any(s is None or not s.Id for s in self._securities) or len(set(s.Id.upper() for s in self._securities)) != len(self._securities):
raise InvalidOperationException("Universe must contain distinct execution securities.")
for security in self._securities:
if security.VolumeStep is None or security.MinVolume is None or security.MaxVolume is None or security.VolumeStep <= 0 or security.MinVolume <= 0 or security.MaxVolume <= 0:
raise InvalidOperationException("Every security needs positive VolumeStep, MinVolume and MaxVolume.")
self._history[security] = {}
self._load_price_history()
if self.SkipDays >= self.LookbackDays:
raise InvalidOperationException("SkipDays must be smaller than LookbackDays.")
super(momentum_factor_stocks_strategy, self).OnStarted2(time)
for security in self._securities:
self.SubscribeCandles(self.CandleType, True, security).Bind(lambda candle, s=security: self._process_candle(s, candle)).Start()
def _process_candle(self, security, candle):
if candle.State != CandleStates.Finished or candle.ClosePrice <= 0:
return
self._latest[security] = (candle.OpenTime, candle.ClosePrice)
self._history[security][candle.OpenTime.Date] = candle.ClosePrice
if len(self._latest) != len(self._securities) or any(t != candle.OpenTime for t, p in self._latest.values()) or self._last_bar == candle.OpenTime or not self.IsFormedAndOnlineAndAllowTrading():
return
self._last_bar = candle.OpenTime
month = candle.OpenTime.Year * 100 + candle.OpenTime.Month
if self._last_rebalance != month and self._select_targets(candle.OpenTime):
self._last_rebalance = month
self._reconcile_targets()
def _budget(self):
return self.Capital * self.Leverage
def _as_of(self, time):
return time.Add(self.CandleType.Arg).AddTicks(-1)
def _unit_price(self, security):
return self._latest[security][1]
def _units(self, security, notional):
return Math.Floor(notional / self._unit_price(security) / security.VolumeStep) * security.VolumeStep
def _reconcile_targets(self):
if any(o.State != OrderStates.Done and o.State != OrderStates.Failed for o in self._pending):
return
self._pending = []
for security in self._securities:
if security not in self._targets:
continue
target = self._targets[security]
position = self.GetPositionValue(security, self.Portfolio)
delta = target - (position if position is not None else Decimal(0))
if delta == 0 or (target != 0 and abs(delta) * self._unit_price(security) < self.MinTradeUsd):
continue
quantity = Math.Floor(min(abs(delta), security.MaxVolume) / security.VolumeStep) * security.VolumeStep
if quantity < security.MinVolume:
continue
order = Order()
order.Security = security
order.Portfolio = self.Portfolio
order.Type = OrderTypes.Market
order.Side = Sides.Buy if delta > 0 else Sides.Sell
order.Volume = quantity
order.Comment = "0379Rebalance"
self._pending.append(order)
self.RegisterOrder(order)
@staticmethod
def _parse_utc(value):
return DateTime.ParseExact(value.strip(), "yyyy-MM-dd'T'HH:mm:ss'Z'", CultureInfo.InvariantCulture, DateTimeStyles.AssumeUniversal | DateTimeStyles.AdjustToUniversal)
@staticmethod
def _read_rows(path, header, fields):
lines = list(File.ReadLines(path))
if not lines or lines[0].strip() != header:
raise InvalidOperationException("Invalid CSV header: expected " + header + ".")
for line in lines[1:]:
if not line.strip():
continue
row = line.split(",")
if len(row) != fields:
raise InvalidOperationException("Invalid CSV field count.")
yield row
def _last_closed_date(self, time):
return time.Date if self.CandleType.Arg == TimeSpan.FromDays(1) else time.Date.AddDays(-1)
def _daily(self, security, time, count, cutoff):
dates = [d for d in sorted(self._history[security]) if d <= self._last_closed_date(time) and d < cutoff]
return [self._history[security][d] for d in dates[-count:]]
def _load_price_history(self):
if not self.PriceHistoryFile:
return
for row in self._read_rows(self.PriceHistoryFile, "SecurityId,Date,Close", 3):
security = next((s for s in self._securities if s.Id.upper() == row[0].strip().upper()), None)
if security is None:
continue
date = DateTime.ParseExact(row[1].strip(), "yyyy-MM-dd", CultureInfo.InvariantCulture)
price = Decimal.Parse(row[2], CultureInfo.InvariantCulture)
if price <= 0 or date in self._history[security]:
raise InvalidOperationException("Daily prices must be positive and unique per security and UTC date.")
self._history[security][date] = price
def _select_targets(self, time):
scores = []
for security in self._securities:
prices = self._daily(security, time, self.LookbackDays + 1, DateTime.MaxValue)
if len(prices) == self.LookbackDays + 1:
scores.append((security, prices[-self.SkipDays - 1] / prices[0] - Decimal(1)))
if len(scores) < self.Quintile:
return False
ranked = [s for s, score in sorted(scores, key=lambda x: (-x[1], x[0].Id))]
count = len(ranked) // self.Quintile
self._set_basket_targets(ranked[:count], ranked[-count:], self._budget())
return True
def _set_basket_targets(self, longs, shorts, gross):
self._targets = {s: Decimal(0) for s in self._securities}
for security in longs:
self._targets[security] = self._units(security, gross / Decimal(2 * len(longs)))
for security in shorts:
self._targets[security] = -self._units(security, gross / Decimal(2 * len(shorts)))
def CreateClone(self):
return momentum_factor_stocks_strategy()