Consistent Momentum
Regras de negociação
Calcular momentum longo P[d] / P[d − LookbackDays] − 1 e curto P[d] / P[d − ShortLookbackDays] − 1 em datas diárias distintas. Exigir LookbackDays + 1 fechamentos. Classificar separadamente: comprar a interseção dos decis superiores e vender a dos inferiores, floor(tamanho / Deciles) candidatos. Criar uma tranche mensal com orçamento bruto Capital × Leverage / HoldingMonths, metade por lado; lados vazios ficam em caixa. Fixar quantidades arredondadas e vencimento na criação: mês inicial mais HoldingMonths. Negociar apenas a mudança da soma das tranches vivas. Alterações posteriores não movem vencimentos existentes.
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.
Com CandleType intradiário usam-se apenas datas UTC anteriores à data do sinal. O dia atual incompleto é excluído. Uma vela diária encerrada pode fornecer a sua própria data completa.
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 | Valor padrão |
|---|---|
Universe |
obrigatório |
Capital |
100000 |
Leverage |
1 |
MinTradeUsd |
50 |
CandleType |
TimeSpan.FromMinutes(5).TimeFrame() |
Deciles |
10 |
PriceHistoryFile |
opcional — não definido |
LookbackDays |
147 |
ShortLookbackDays |
21 |
HoldingMonths |
6 |
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.
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
As execuções usam apenas o arquivo BTC/TON existente. Relatórios, observações de opções e histórico de aquecimento explícitos verificam a mecânica e não são dados reais de empresas ou opções. Janelas menores, dois grupos e março como mês anual são perfis de teste identificados, não prova dos padrões originais de longo prazo. Não se afirma 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>Consistent Momentum with explicit inputs and execution-based portfolio accounting.</summary>
public class ConsistentMomentumStrategy : 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<int> _deciles;
private readonly StrategyParam<string> _priceHistoryFile;
private readonly StrategyParam<int> _lookbackDays;
private readonly StrategyParam<int> _shortLookbackDays;
private readonly StrategyParam<int> _holdingMonths;
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;
private sealed record Tranche(DateTime Expires, Dictionary<Security, decimal> Quantities);
private readonly List<Tranche> _tranches = [];
/// <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>Number of cross-sectional buckets, requiring at least this many eligible securities.</summary>
public int Deciles { get => _deciles.Value; set => _deciles.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>Long daily momentum lookback.</summary>
public int LookbackDays { get => _lookbackDays.Value; set => _lookbackDays.Value = value; }
/// <summary>Short daily momentum lookback.</summary>
public int ShortLookbackDays { get => _shortLookbackDays.Value; set => _shortLookbackDays.Value = value; }
/// <summary>Lifetime and gross capital denominator of each monthly tranche.</summary>
public int HoldingMonths { get => _holdingMonths.Value; set => _holdingMonths.Value = value; }
/// <summary>Initialize the published strategy parameters.</summary>
public ConsistentMomentumStrategy()
{
_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.FromMinutes(5).TimeFrame())
.SetDisplay("CandleType", "Closed candle type; daily statistics count distinct UTC dates", "Parameters");
_deciles = Param(nameof(Deciles), 10).SetRange(2, 10000)
.SetDisplay("Deciles", "Number of cross-sectional buckets, requiring at least this many eligible securities", "Parameters");
_priceHistoryFile = Param<string>(nameof(PriceHistoryFile))
.SetDisplay("PriceHistoryFile", "Optional daily close CSV for warmup; current and future dates cannot prefill a decision", "Parameters");
_lookbackDays = Param(nameof(LookbackDays), 147).SetGreaterThanZero()
.SetDisplay("LookbackDays", "Long daily momentum lookback", "Parameters");
_shortLookbackDays = Param(nameof(ShortLookbackDays), 21).SetGreaterThanZero()
.SetDisplay("ShortLookbackDays", "Short daily momentum lookback", "Parameters");
_holdingMonths = Param(nameof(HoldingMonths), 6).SetGreaterThanZero()
.SetDisplay("HoldingMonths", "Lifetime and gross capital denominator of each monthly tranche", "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;
_tranches.Clear();
}
/// <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] = [];
}
if (ShortLookbackDays >= LookbackDays) throw new InvalidOperationException("ShortLookbackDays must be less than LookbackDays.");
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;
UpdateTrancheTargets(new DateTime(candle.OpenTime.Year, candle.OpenTime.Month, 1));
if (_lastRebalance != month && SelectTargets(candle.OpenTime))
_lastRebalance = month;
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 = "0359Rebalance",
};
_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.Length < Deciles || _securities.Any(s => Daily(s, time).Length < LookbackDays + 1)) return false;
decimal Momentum(Security s, int length)
{
var values = Daily(s, time);
return values[^1] / values[values.Length - length - 1] - 1m;
}
var count = _securities.Length / Deciles;
var longRank = _securities.OrderBy(s => Momentum(s, LookbackDays)).ThenBy(s => s.Id, StringComparer.Ordinal).ToArray();
var shortRank = _securities.OrderBy(s => Momentum(s, ShortLookbackDays)).ThenBy(s => s.Id, StringComparer.Ordinal).ToArray();
var longs = longRank.TakeLast(count).Intersect(shortRank.TakeLast(count)).ToArray();
var shorts = longRank.Take(count).Intersect(shortRank.Take(count)).ToArray();
var quantities = _securities.ToDictionary(s => s, _ => 0m);
foreach (var s in longs) quantities[s] = Units(s, Capital * Leverage / (2m * HoldingMonths * longs.Length));
foreach (var s in shorts) quantities[s] = -Units(s, Capital * Leverage / (2m * HoldingMonths * shorts.Length));
var month = new DateTime(time.Year, time.Month, 1);
_tranches.Add(new(month.AddMonths(HoldingMonths), quantities));
UpdateTrancheTargets(month);
return true;
}
private void UpdateTrancheTargets(DateTime month)
{
_tranches.RemoveAll(t => t.Expires <= month);
foreach (var s in _securities) _targets[s] = _tranches.Sum(t => t.Quantities[s]);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.BusinessEntities")
clr.AddReference("StockSharp.Algo.Strategies")
from System import DateTime, Decimal, Math, TimeSpan, InvalidOperationException
from System.Collections.Generic import IEnumerable
from System.Globalization import CultureInfo, DateTimeStyles
from System.IO import File
from StockSharp.Algo.Strategies import Strategy
from StockSharp.BusinessEntities import Order, Security
from StockSharp.Messages import CandleStates, DataType, OrderStates, OrderTypes, Sides
class consistent_momentum_strategy(Strategy):
"""Consistent Momentum with explicit inputs and execution-based portfolio accounting."""
def __init__(self):
super(consistent_momentum_strategy, self).__init__()
self._universe = self.Param[IEnumerable[Security]]("Universe", None).SetRequired() \
.SetDisplay("Universe", "Execution securities with USD prices and valid volume metadata", "Parameters")
self._capital = self.Param("Capital", Decimal(100000)).SetGreaterThanZero() \
.SetDisplay("Capital", "Fixed gross 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(50)).SetRange(Decimal(0), Decimal.MaxValue) \
.SetDisplay("MinTradeUsd", "Minimum notional adjustment; complete liquidation bypasses this filter", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("CandleType", "Closed candle type; daily statistics count distinct UTC dates", "Parameters")
self._deciles = self.Param("Deciles", 10).SetRange(2, 10000) \
.SetDisplay("Deciles", "Number of cross-sectional buckets, requiring at least this many eligible securities", "Parameters")
self._price_history_file = self.Param[str]("PriceHistoryFile", None) \
.SetDisplay("PriceHistoryFile", "Optional daily close CSV for warmup; current and future dates cannot prefill a decision", "Parameters")
self._lookback_days = self.Param("LookbackDays", 147).SetGreaterThanZero() \
.SetDisplay("LookbackDays", "Long daily momentum lookback", "Parameters")
self._short_lookback_days = self.Param("ShortLookbackDays", 21).SetGreaterThanZero() \
.SetDisplay("ShortLookbackDays", "Short daily momentum lookback", "Parameters")
self._holding_months = self.Param("HoldingMonths", 6).SetGreaterThanZero() \
.SetDisplay("HoldingMonths", "Lifetime and gross capital denominator of each monthly tranche", "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
self._tranches = []
@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 Deciles(self):
return self._deciles.Value
@Deciles.setter
def Deciles(self, value):
self._deciles.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 ShortLookbackDays(self):
return self._short_lookback_days.Value
@ShortLookbackDays.setter
def ShortLookbackDays(self, value):
self._short_lookback_days.Value = value
@property
def HoldingMonths(self):
return self._holding_months.Value
@HoldingMonths.setter
def HoldingMonths(self, value):
self._holding_months.Value = value
def GetWorkingSecurities(self):
securities = list(self.Universe) if self.Universe is not None else []
return [(s, self.CandleType) for s in securities]
def OnReseted(self):
super(consistent_momentum_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 s, dt in self.GetWorkingSecurities():
if s.VolumeStep is None or s.MinVolume is None or s.MaxVolume is None or s.VolumeStep <= 0 or s.MinVolume <= 0 or s.MaxVolume <= 0:
raise InvalidOperationException("Every security needs positive VolumeStep, MinVolume and MaxVolume.")
self._history[s] = {}
if self.ShortLookbackDays >= self.LookbackDays:
raise InvalidOperationException("ShortLookbackDays must be less than LookbackDays.")
self._load_price_history()
super(consistent_momentum_strategy, self).OnStarted2(time)
for security, dt in self.GetWorkingSecurities():
self.SubscribeCandles(dt, 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._history) 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
self._update_tranche_targets(DateTime(candle.OpenTime.Year, candle.OpenTime.Month, 1))
if self._last_rebalance != month and self._select_targets(candle.OpenTime):
self._last_rebalance = month
self._reconcile_targets()
def _daily(self, security, time):
return [self._history[security][d] for d in sorted(self._history[security]) if d <= self._last_closed_date(time)]
def _last_closed_date(self, time):
return time.Date if self.CandleType.Arg == TimeSpan.FromDays(1) else time.Date.AddDays(-1)
def _units(self, security, notional):
return Math.Floor(notional / self._latest[security][1] / 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._latest[security][1] < 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 = "0359Rebalance"
self._pending.append(order)
self.RegisterOrder(order)
def _load_price_history(self):
if not self.PriceHistoryFile:
return
lines = iter(File.ReadLines(self.PriceHistoryFile))
if next(lines, "").strip() != "SecurityId,Date,Close":
raise InvalidOperationException("Price history must begin with SecurityId,Date,Close.")
for line in lines:
if not line.strip():
continue
row = line.split(",")
if len(row) != 3:
raise InvalidOperationException("A daily price row must have three fields.")
security = next((s for s in self._history if s.Id.lower() == row[0].strip().lower()), 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):
if len(self._securities) < self.Deciles or any(len(self._daily(s, time)) < self.LookbackDays + 1 for s in self._securities):
return False
def momentum(s, length):
values = self._daily(s, time)
return values[-1] / values[-length - 1] - Decimal(1)
count = len(self._securities) // self.Deciles
long_rank = sorted(self._securities, key=lambda s: (momentum(s, self.LookbackDays), s.Id))
short_rank = sorted(self._securities, key=lambda s: (momentum(s, self.ShortLookbackDays), s.Id))
longs = [s for s in long_rank[-count:] if s in short_rank[-count:]]
shorts = [s for s in long_rank[:count] if s in short_rank[:count]]
quantities = dict((s, Decimal(0)) for s in self._securities)
for s in longs:
quantities[s] = self._units(s, self.Capital * self.Leverage / Decimal(2 * self.HoldingMonths * len(longs)))
for s in shorts:
quantities[s] = -self._units(s, self.Capital * self.Leverage / Decimal(2 * self.HoldingMonths * len(shorts)))
month = DateTime(time.Year, time.Month, 1)
self._tranches.append((month.AddMonths(self.HoldingMonths), quantities))
self._update_tranche_targets(month)
return True
def _update_tranche_targets(self, month):
self._tranches = [(expiry, quantities) for expiry, quantities in self._tranches if expiry > month]
for s in self._securities:
self._targets[s] = sum((quantities[s] for expiry, quantities in self._tranches), Decimal(0))
def CreateClone(self):
return consistent_momentum_strategy()