Consistent Momentum
取引規則
長期 P[d] / P[d − LookbackDays] − 1 と短期 P[d] / P[d − ShortLookbackDays] − 1 を別日付の終値で計算し、LookbackDays + 1 個を要求します。独立した順位の上位 Deciles 共通銘柄を買い、下位の共通銘柄を売ります。各端は floor(Universe 数 / Deciles) 候補です。毎月 Capital × Leverage / HoldingMonths の総予算で一口を作り、半分ずつ配分し、空側は現金にします。作成時に丸め数量と満期(作成月+HoldingMonths)を固定し、存続口の合計数量との差分だけ取引します。後のパラメーター変更は既存満期を変えません。
時刻が一致する確定足だけを評価します。統計は異なる UTC 日付を数え、同じ日の後続足が日次価格を更新します。毎月最初の条件を満たす同期確定足で一度リバランスします。データ不足時は延期し、同点は Security.Id 順に並べます。
日中 CandleType の日次統計は現在の信号日より前の UTC 日付のみを使い、未完了の当日は除外します。確定済み一日足は自身の完了日を含められます。
入力データ
PriceHistoryFile は正の日次終値の任意 CSV です:SecurityId,Date,Close。日付は yyyy-MM-dd。現在・将来の日付で判断を先取りせず、実際の確定足で該当 UTC 日の価格を上書きします。重複日付は禁止です。短い約定履歴で長い期間を準備するために使えます。
パラメーター
| パラメーター | 既定値 |
|---|---|
Universe |
必須 |
Capital |
100000 |
Leverage |
1 |
MinTradeUsd |
50 |
CandleType |
TimeSpan.FromMinutes(5).TimeFrame() |
Deciles |
10 |
PriceHistoryFile |
任意 — 未指定 |
LookbackDays |
147 |
ShortLookbackDays |
21 |
HoldingMonths |
6 |
約定と保有数量
Universe を明示的に設定します。価格と Capital は取引単位当たりの USD です。Capital は固定予算、Leverage は総エクスポージャーを指定します。損切りや利食い注文は追加しません。
信号終値で数量に換算し、VolumeStep 単位でゼロ方向へ丸めます。実際の約定残高を使い、未完了注文を待ち、MinVolume/MaxVolume を守って大口調整を後続足へ分割します。MinTradeUsd は小口調整を除外しますが、全決済には適用しません。
検証
約定検証には既存 BTC/TON アーカイブのみを使います。明示した財務報告、オプション観測、準備価格は仕組みのテスト用で、実企業財務やオプション履歴ではありません。短縮期間、二分位、三月の年次調整は明示的な検証設定で、元の長期既定値の取引を証明しません。収益率は主張しません。
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()