Commodity Momentum
Regras de negociação
M é o mês da decisão e P[K] o último fechamento observado do mês completo K. Momentum = P[M − SkipMonths − 1] / P[M − LookbackMonths − 1] − 1. Todos os meses intermediários são exigidos. Em março, os padrões comparam janeiro com fevereiro do ano anterior, excluindo fevereiro e março em curso. Comprar até TopN melhores ativos com pesos iguais, apenas comprados. Momentum negativo é permitido. Fechar removidos no próximo rebalanceamento.
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.
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 |
200 |
CandleType |
TimeSpan.FromMinutes(5).TimeFrame() |
PriceHistoryFile |
opcional — não definido |
TopN |
5 |
LookbackMonths |
12 |
SkipMonths |
1 |
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>Commodity Momentum with explicit inputs and execution-based portfolio accounting.</summary>
public class CommodityMomentumStrategy : 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> _topN;
private readonly StrategyParam<int> _lookbackMonths;
private readonly StrategyParam<int> _skipMonths;
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>Maximum number of long commodity positions.</summary>
public int TopN { get => _topN.Value; set => _topN.Value = value; }
/// <summary>Calendar month lookback before the decision month.</summary>
public int LookbackMonths { get => _lookbackMonths.Value; set => _lookbackMonths.Value = value; }
/// <summary>Most recent completed calendar months excluded from momentum.</summary>
public int SkipMonths { get => _skipMonths.Value; set => _skipMonths.Value = value; }
/// <summary>Initialize the published strategy parameters.</summary>
public CommodityMomentumStrategy()
{
_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), 200m).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");
_priceHistoryFile = Param<string>(nameof(PriceHistoryFile))
.SetDisplay("PriceHistoryFile", "Optional daily close CSV for warmup; current and future dates cannot prefill a decision", "Parameters");
_topN = Param(nameof(TopN), 5).SetGreaterThanZero()
.SetDisplay("TopN", "Maximum number of long commodity positions", "Parameters");
_lookbackMonths = Param(nameof(LookbackMonths), 12).SetGreaterThanZero()
.SetDisplay("LookbackMonths", "Calendar month lookback before the decision month", "Parameters");
_skipMonths = Param(nameof(SkipMonths), 1).SetRange(0, 120)
.SetDisplay("SkipMonths", "Most recent completed calendar months excluded from momentum", "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] = [];
}
if (SkipMonths >= LookbackMonths) throw new InvalidOperationException("SkipMonths must be less than LookbackMonths.");
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;
ReconcileTargets();
}
private decimal[] Daily(Security security, DateTime time)
=> _history[security].Where(x => x.Key <= time.Date).Select(x => x.Value).ToArray();
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 = "0358Rebalance",
};
_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)
{
var month = new DateTime(time.Year, time.Month, 1);
var end = month.AddMonths(-SkipMonths - 1);
var start = month.AddMonths(-LookbackMonths - 1);
var scores = new List<(Security security, decimal score)>();
foreach (var s in _securities)
{
var monthly = _history[s].Where(p => p.Key < month)
.GroupBy(p => new DateTime(p.Key.Year, p.Key.Month, 1))
.ToDictionary(g => g.Key, g => g.Last().Value);
if (Enumerable.Range(0, LookbackMonths - SkipMonths + 1).Any(i => !monthly.ContainsKey(start.AddMonths(i)))) continue;
scores.Add((s, monthly[end] / monthly[start] - 1m));
}
if (scores.Count == 0) return false;
var selected = scores.OrderByDescending(x => x.score).ThenBy(x => x.security.Id, StringComparer.Ordinal)
.Take(TopN).Select(x => x.security).ToArray();
foreach (var s in _securities) _targets[s] = selected.Contains(s) ? Units(s, Capital * Leverage / selected.Length) : 0m;
return true;
}
}
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 commodity_momentum_strategy(Strategy):
"""Commodity Momentum with explicit inputs and execution-based portfolio accounting."""
def __init__(self):
super(commodity_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(200)).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._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._top_n = self.Param("TopN", 5).SetGreaterThanZero() \
.SetDisplay("TopN", "Maximum number of long commodity positions", "Parameters")
self._lookback_months = self.Param("LookbackMonths", 12).SetGreaterThanZero() \
.SetDisplay("LookbackMonths", "Calendar month lookback before the decision month", "Parameters")
self._skip_months = self.Param("SkipMonths", 1).SetRange(0, 120) \
.SetDisplay("SkipMonths", "Most recent completed calendar months excluded from momentum", "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 TopN(self):
return self._top_n.Value
@TopN.setter
def TopN(self, value):
self._top_n.Value = value
@property
def LookbackMonths(self):
return self._lookback_months.Value
@LookbackMonths.setter
def LookbackMonths(self, value):
self._lookback_months.Value = value
@property
def SkipMonths(self):
return self._skip_months.Value
@SkipMonths.setter
def SkipMonths(self, value):
self._skip_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(commodity_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.SkipMonths >= self.LookbackMonths:
raise InvalidOperationException("SkipMonths must be less than LookbackMonths.")
self._load_price_history()
super(commodity_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
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 <= time.Date]
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 = "0358Rebalance"
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):
month = DateTime(time.Year, time.Month, 1)
end = month.AddMonths(-self.SkipMonths - 1)
start = month.AddMonths(-self.LookbackMonths - 1)
scores = []
for s in self._securities:
monthly = {}
for date in sorted(self._history[s]):
if date < month:
monthly[DateTime(date.Year, date.Month, 1)] = self._history[s][date]
if any(start.AddMonths(i) not in monthly for i in range(self.LookbackMonths - self.SkipMonths + 1)):
continue
scores.append((s, monthly[end] / monthly[start] - Decimal(1)))
if not scores:
return False
selected = [s for s, score in sorted(scores, key=lambda x: (-x[1], x[0].Id))[:self.TopN]]
for s in self._securities:
self._targets[s] = self._units(s, self.Capital * self.Leverage / Decimal(len(selected))) if s in selected else Decimal(0)
return True
def CreateClone(self):
return commodity_momentum_strategy()