Consistent Momentum
Trading rules
Compute long momentum P[d] / P[d − LookbackDays] − 1 and short momentum P[d] / P[d − ShortLookbackDays] − 1 using distinct daily dates. Require LookbackDays + 1 closes. Independently rank both measures: buy the intersection of their top Deciles buckets and short the intersection of their bottom buckets. Each extreme contains floor(universe count / Deciles) candidates. Create one tranche per month with gross budget Capital × Leverage / HoldingMonths, half per side, equal within each intersection; an empty side stays cash. Freeze each tranche's rounded units at creation. Expire it at the start of its creation month plus HoldingMonths, preserving other tranches. Sum live tranche quantities and trade only the change. Later HoldingMonths changes do not move existing expiry dates.
Evaluate only synchronized finished candles. Statistics count distinct UTC dates, replacing earlier intraday closes of the same date. Rebalance once on the first eligible synchronized candle of each month; an unformed input delays the decision. Equal scores are ordered by Security.Id.
For intraday CandleType, daily statistics use only UTC dates strictly before the current signal date. The incomplete current day is excluded. A finished one-day candle may contribute its own completed date.
Input data
PriceHistoryFile is an optional CSV of positive daily closes: SecurityId,Date,Close. Dates use yyyy-MM-dd. Current and future dates cannot prefill a decision; live finished closes replace each UTC date. Duplicate dates are rejected. It is needed to warm long lookbacks when the execution archive is short.
Parameters
| Parameter | Default |
|---|---|
Universe |
required |
Capital |
100000 |
Leverage |
1 |
MinTradeUsd |
50 |
CandleType |
TimeSpan.FromMinutes(5).TimeFrame() |
Deciles |
10 |
PriceHistoryFile |
optional — not supplied |
LookbackDays |
147 |
ShortLookbackDays |
21 |
HoldingMonths |
6 |
Execution
Set Universe explicitly. Prices and Capital use USD, with one price unit per traded unit. Capital is a fixed budget; Leverage controls gross exposure. No stop loss or take profit is added.
See the strategy-specific allocation above. Divide each side equally, convert USD to units at the signal close and round toward zero to VolumeStep. Reconcile against actual filled positions, wait for pending orders, respect MinVolume/MaxVolume and split large adjustments across later candles. MinTradeUsd filters small adjustments; full liquidation bypasses it.
Verification
Tests use only packaged BTC/TON execution history. Explicit financial reports, option observations and price warmup fixtures test mechanics; they are not actual company fundamentals or option-market history. Reduced lookbacks, two buckets and March annual scheduling are identified test profiles, not proof of trading at unchanged long-horizon defaults. No return or profitability claim is made.
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()