Momentum Asset Growth
Trading rules
From the latest published annual report and the same fiscal date one year earlier calculate asset growth = TotalAssets[current] / TotalAssets[previous] − 1. Keep only the highest AssetDecile bucket, floor(eligible financial count / AssetDecile) securities. Within that subset compute MomLook-day momentum from MomLook + 1 completed daily closes ending before the first day of the decision month minus SkipMonths whole calendar months. Long the highest Quintile bucket and short the lowest; require at least Quintile fully warmed names after filtering. Rebalance monthly except January. January keeps existing holdings without allocation or forced liquidation.
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.
All observations must be published by the signal candle close. Intraday execution uses daily prices strictly before its UTC date; a finished one-day candle contributes its own completed date. Never warm a decision with future CSV dates.
The publication cutoff is the latest actual CloseTime among synchronized finished candles. A trading session can finish before the configured candle interval has elapsed.
Input data
FundamentalsFile is a required CSV: SecurityId,PeriodEnd,PublishedAt,TotalAssets,NetIncome,OperatingCashFlow,BookEquity,SharesOutstanding. PeriodEnd uses yyyy-MM-dd; PublishedAt uses yyyy-MM-ddTHH:mm:ssZ (UTC). Assets and shares must be positive. For each security select the newest fiscal period and latest revision published by the signal time. Reject duplicate revisions and publications before the fiscal period ends. No fundamental value is inferred from candles.
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 |
200 |
CandleType |
TimeSpan.FromDays(1).TimeFrame() |
PriceHistoryFile |
optional — not supplied |
MomLook |
252 |
SkipMonths |
1 |
AssetDecile |
10 |
Quintile |
5 |
MaxReportAgeDays |
550 |
FundamentalsFile |
required |
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.
Long and short baskets each receive half of Capital × Leverage. 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 run both languages using packaged BTC/TON execution data and explicit rate, financial, score, text and warmup fixtures. Calendar fixtures relocate archive OHLC/volume and provide deterministic execution quotes; they are not multi-year market history. Independent formulas, order direction/size, actual fills, residual positions and forbidden decision dates are checked. Two buckets, K=1 and AssetDecile=1 are declared mechanics profiles, not evidence of the complete production universe. No 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>Momentum Asset Growth with point-in-time inputs and execution-based portfolio accounting.</summary>
public class MomentumAssetGrowthStrategy : 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> _momLook;
private readonly StrategyParam<int> _skipMonths;
private readonly StrategyParam<int> _assetDecile;
private readonly StrategyParam<int> _quintile;
private readonly StrategyParam<int> _maxReportAgeDays;
private readonly StrategyParam<string> _fundamentalsFile;
private Security[] _securities = [];
private readonly Dictionary<Security, (DateTime time, decimal price, DateTime closed)> _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 Report(string Id, DateTime Period, DateTime Published, decimal Assets, decimal Income, decimal CashFlow);
private readonly List<Report> _reports = [];
/// <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>Completed daily returns ending before the skipped calendar months.</summary>
public int MomLook { get => _momLook.Value; set => _momLook.Value = value; }
/// <summary>Recent whole calendar months excluded from momentum.</summary>
public int SkipMonths { get => _skipMonths.Value; set => _skipMonths.Value = value; }
/// <summary>Number of asset-growth buckets; only the highest is eligible.</summary>
public int AssetDecile { get => _assetDecile.Value; set => _assetDecile.Value = value; }
/// <summary>Number of momentum buckets within the growth subset.</summary>
public int Quintile { get => _quintile.Value; set => _quintile.Value = value; }
/// <summary>Maximum age of the latest fiscal year end in calendar days.</summary>
public int MaxReportAgeDays { get => _maxReportAgeDays.Value; set => _maxReportAgeDays.Value = value; }
/// <summary>Required point-in-time annual financial reports.</summary>
public string FundamentalsFile { get => _fundamentalsFile.Value; set => _fundamentalsFile.Value = value; }
/// <summary>Initialize the strategy parameters.</summary>
public MomentumAssetGrowthStrategy()
{
_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");
_momLook = Param(nameof(MomLook), 252).SetRange(1, int.MaxValue)
.SetDisplay("MomLook", "Completed daily returns ending before the skipped calendar months", "Parameters");
_skipMonths = Param(nameof(SkipMonths), 1).SetRange(0, 24)
.SetDisplay("SkipMonths", "Recent whole calendar months excluded from momentum", "Parameters");
_assetDecile = Param(nameof(AssetDecile), 10).SetRange(1, int.MaxValue)
.SetDisplay("AssetDecile", "Number of asset-growth buckets; only the highest is eligible", "Parameters");
_quintile = Param(nameof(Quintile), 5).SetRange(2, int.MaxValue)
.SetDisplay("Quintile", "Number of momentum buckets within the growth subset", "Parameters");
_maxReportAgeDays = Param(nameof(MaxReportAgeDays), 550).SetRange(1, int.MaxValue)
.SetDisplay("MaxReportAgeDays", "Maximum age of the latest fiscal year end in calendar days", "Parameters");
_fundamentalsFile = Param<string>(nameof(FundamentalsFile)).SetRequired()
.SetDisplay("FundamentalsFile", "Required point-in-time annual financial reports", "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;
_reports.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 _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();
LoadReports();
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, candle.CloseTime);
_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, _latest.Values.Max(v => v.closed)))
_lastRebalance = month;
ReconcileTargets();
}
private decimal Budget => Capital * Leverage;
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 = "0378Rebalance",
};
_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 void LoadReports()
{
var keys = new HashSet<(string, DateTime, DateTime)>();
foreach (var row in ReadRows(FundamentalsFile, "SecurityId,PeriodEnd,PublishedAt,TotalAssets,NetIncome,OperatingCashFlow,BookEquity,SharesOutstanding", 8))
{
var id = row[0].Trim();
if (!_securities.Any(s => string.Equals(s.Id, id, StringComparison.OrdinalIgnoreCase))) continue;
var period = DateTime.ParseExact(row[1].Trim(), "yyyy-MM-dd", CultureInfo.InvariantCulture);
var published = ParseUtc(row[2]);
var values = row.Skip(3).Select(x => decimal.Parse(x, CultureInfo.InvariantCulture)).ToArray();
if (values[0] <= 0m || values[4] <= 0m || published.Date < period || !keys.Add((id.ToUpperInvariant(), period, published)))
throw new InvalidOperationException("Reports need positive assets/shares, causal publication dates and unique revisions.");
_reports.Add(new(id, period, published, values[0], values[1], values[2]));
}
}
private Report FindReport(Security security, DateTime asOf, DateTime? period = null)
=> _reports.Where(r => string.Equals(r.Id, security.Id, StringComparison.OrdinalIgnoreCase)
&& r.Published <= asOf && r.Period <= asOf.Date && (period is null || r.Period == period))
.OrderByDescending(r => r.Period).ThenByDescending(r => r.Published).FirstOrDefault();
private bool SelectTargets(DateTime time, DateTime asOf)
{
if (time.Month == 1) return false;
var growth = new List<(Security security, decimal score)>();
foreach (var security in _securities)
{
var latest = FindReport(security, asOf);
if (latest is null || (time.Date - latest.Period).TotalDays > MaxReportAgeDays) continue;
var previous = FindReport(security, asOf, latest.Period.AddYears(-1));
if (previous is null) continue;
growth.Add((security, latest.Assets / previous.Assets - 1m));
}
if (growth.Count < AssetDecile) return false;
var eligible = growth.OrderByDescending(x => x.score).ThenBy(x => x.security.Id, StringComparer.Ordinal)
.Take(growth.Count / AssetDecile).Select(x => x.security);
var cutoff = new DateTime(time.Year, time.Month, 1).AddMonths(-SkipMonths);
var momentum = new List<(Security security, decimal score)>();
foreach (var security in eligible)
{
var prices = Daily(security, time, MomLook + 1, cutoff);
if (prices.Length == MomLook + 1) momentum.Add((security, prices[^1] / prices[0] - 1m));
}
if (momentum.Count < Quintile) return false;
var ranked = momentum.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_asset_growth_strategy(Strategy):
"""Momentum Asset Growth with point-in-time inputs and execution-based portfolio accounting."""
def __init__(self):
super(momentum_asset_growth_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._mom_look = self.Param("MomLook", 252).SetRange(1, 2147483647) \
.SetDisplay("MomLook", "Completed daily returns ending before the skipped calendar months", "Parameters")
self._skip_months = self.Param("SkipMonths", 1).SetRange(0, 24) \
.SetDisplay("SkipMonths", "Recent whole calendar months excluded from momentum", "Parameters")
self._asset_decile = self.Param("AssetDecile", 10).SetRange(1, 2147483647) \
.SetDisplay("AssetDecile", "Number of asset-growth buckets; only the highest is eligible", "Parameters")
self._quintile = self.Param("Quintile", 5).SetRange(2, 2147483647) \
.SetDisplay("Quintile", "Number of momentum buckets within the growth subset", "Parameters")
self._max_report_age_days = self.Param("MaxReportAgeDays", 550).SetRange(1, 2147483647) \
.SetDisplay("MaxReportAgeDays", "Maximum age of the latest fiscal year end in calendar days", "Parameters")
self._fundamentals_file = self.Param[str]("FundamentalsFile", None).SetRequired() \
.SetDisplay("FundamentalsFile", "Required point-in-time annual financial reports", "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._reports = []
@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 MomLook(self):
return self._mom_look.Value
@MomLook.setter
def MomLook(self, value):
self._mom_look.Value = value
@property
def SkipMonths(self):
return self._skip_months.Value
@SkipMonths.setter
def SkipMonths(self, value):
self._skip_months.Value = value
@property
def AssetDecile(self):
return self._asset_decile.Value
@AssetDecile.setter
def AssetDecile(self, value):
self._asset_decile.Value = value
@property
def Quintile(self):
return self._quintile.Value
@Quintile.setter
def Quintile(self, value):
self._quintile.Value = value
@property
def MaxReportAgeDays(self):
return self._max_report_age_days.Value
@MaxReportAgeDays.setter
def MaxReportAgeDays(self, value):
self._max_report_age_days.Value = value
@property
def FundamentalsFile(self):
return self._fundamentals_file.Value
@FundamentalsFile.setter
def FundamentalsFile(self, value):
self._fundamentals_file.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_asset_growth_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()
self._load_reports()
super(momentum_asset_growth_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, candle.CloseTime)
self._history[security][candle.OpenTime.Date] = candle.ClosePrice
if len(self._latest) != len(self._securities) or any(value[0] != candle.OpenTime for value 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, max(value[2] for value in self._latest.values())):
self._last_rebalance = month
self._reconcile_targets()
def _budget(self):
return self.Capital * self.Leverage
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 = "0378Rebalance"
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 _load_reports(self):
keys = set()
for row in self._read_rows(self.FundamentalsFile, "SecurityId,PeriodEnd,PublishedAt,TotalAssets,NetIncome,OperatingCashFlow,BookEquity,SharesOutstanding", 8):
identifier = row[0].strip().upper()
if not any(s.Id.upper() == identifier for s in self._securities):
continue
period = DateTime.ParseExact(row[1].strip(), "yyyy-MM-dd", CultureInfo.InvariantCulture)
published = self._parse_utc(row[2])
values = [Decimal.Parse(x, CultureInfo.InvariantCulture) for x in row[3:]]
key = (identifier, period, published)
if values[0] <= 0 or values[4] <= 0 or published.Date < period or key in keys:
raise InvalidOperationException("Reports need positive assets/shares, causal publication dates and unique revisions.")
keys.add(key)
self._reports.append((identifier, period, published, values[0], values[1], values[2]))
def _find_report(self, security, as_of, period=None):
eligible = [r for r in self._reports if r[0] == security.Id.upper() and r[2] <= as_of and r[1] <= as_of.Date and (period is None or r[1] == period)]
return max(eligible, key=lambda r: (r[1], r[2])) if eligible else None
def _select_targets(self, time, as_of):
if time.Month == 1:
return False
growth = []
for security in self._securities:
latest = self._find_report(security, as_of)
if latest is None or (time.Date - latest[1]).TotalDays > self.MaxReportAgeDays:
continue
previous = self._find_report(security, as_of, latest[1].AddYears(-1))
if previous is not None:
growth.append((security, latest[3] / previous[3] - Decimal(1)))
if len(growth) < self.AssetDecile:
return False
eligible = sorted(growth, key=lambda x: (-x[1], x[0].Id))[:len(growth) // self.AssetDecile]
cutoff = DateTime(time.Year, time.Month, 1).AddMonths(-self.SkipMonths)
momentum = []
for security, score in eligible:
prices = self._daily(security, time, self.MomLook + 1, cutoff)
if len(prices) == self.MomLook + 1:
momentum.append((security, prices[-1] / prices[0] - Decimal(1)))
if len(momentum) < self.Quintile:
return False
ranked = [s for s, score in sorted(momentum, 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_asset_growth_strategy()