Accrual Anomaly
Regras de negociação
Ordenar relatórios anuais por (NetIncome − OperatingCashFlow) / TotalAssets. Comprar o grupo inferior de Deciles e vender o superior. Cada extremo contém floor(quantidade elegível / Deciles) ativos; exigem-se ao menos Deciles relatórios. O mês anual padrão é maio.
O rebalanceamento ocorre uma vez ao ano, em RebalanceMonth, na primeira vela conjunta encerrada apta. Relatórios publicados depois não alteram decisões anteriores. MaxReportAgeDays conta desde PeriodEnd.
Dados de entrada
FundamentalsFile é obrigatório: SecurityId,PeriodEnd,PublishedAt,TotalAssets,NetIncome,OperatingCashFlow,BookEquity,SharesOutstanding. PeriodEnd: yyyy-MM-dd; PublishedAt: yyyy-MM-ddTHH:mm:ssZ (UTC). Ativos e ações devem ser positivos. Seleciona-se o período mais recente e a última revisão publicada até o sinal. Revisões duplicadas e publicações antes do fim do período são rejeitadas. Não se extraem fundamentos de velas.
Parâmetros
| Parâmetro | Valor padrão |
|---|---|
Universe |
obrigatório |
Capital |
100000 |
Leverage |
1 |
MinTradeUsd |
50 |
CandleType |
TimeSpan.FromMinutes(5).TimeFrame() |
Deciles |
10 |
FundamentalsFile |
obrigatório |
RebalanceMonth |
5 |
MaxReportAgeDays |
550 |
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.
Cada cesta recebe metade de Capital × Leverage, dividida igualmente. 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>Accrual Anomaly with explicit inputs and execution-based portfolio accounting.</summary>
public class AccrualAnomalyStrategy : 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> _fundamentalsFile;
private readonly StrategyParam<int> _rebalanceMonth;
private readonly StrategyParam<int> _maxReportAgeDays;
private Security[] _securities = [];
private readonly Dictionary<Security, (DateTime time, decimal price)> _latest = [];
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, decimal Book, decimal Shares);
private readonly List<Report> _reports = [];
/// <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>Point-in-time annual financial reports in CSV format.</summary>
public string FundamentalsFile { get => _fundamentalsFile.Value; set => _fundamentalsFile.Value = value; }
/// <summary>UTC calendar month of the annual portfolio rebalance.</summary>
public int RebalanceMonth { get => _rebalanceMonth.Value; set => _rebalanceMonth.Value = value; }
/// <summary>Maximum age of the fiscal period at a rebalance.</summary>
public int MaxReportAgeDays { get => _maxReportAgeDays.Value; set => _maxReportAgeDays.Value = value; }
/// <summary>Initialize the published strategy parameters.</summary>
public AccrualAnomalyStrategy()
{
_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");
_fundamentalsFile = Param<string>(nameof(FundamentalsFile)).SetRequired()
.SetDisplay("FundamentalsFile", "Point-in-time annual financial reports in CSV format", "Parameters");
_rebalanceMonth = Param(nameof(RebalanceMonth), 5).SetRange(1, 12)
.SetDisplay("RebalanceMonth", "UTC calendar month of the annual portfolio rebalance", "Parameters");
_maxReportAgeDays = Param(nameof(MaxReportAgeDays), 550).SetGreaterThanZero()
.SetDisplay("MaxReportAgeDays", "Maximum age of the fiscal period at a rebalance", "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();
_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 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.");
}
if (string.IsNullOrWhiteSpace(FundamentalsFile)) throw new InvalidOperationException("FundamentalsFile is required.");
LoadReports();
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);
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 / 100 != candle.OpenTime.Year && SelectTargets(candle.OpenTime))
_lastRebalance = month;
ReconcileTargets();
}
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 = "0351Rebalance",
};
_pending.Add(order);
RegisterOrder(order);
}
}
private void LoadReports()
{
var lines = File.ReadLines(FundamentalsFile).GetEnumerator();
using (lines)
{
if (!lines.MoveNext() || lines.Current.Trim() != "SecurityId,PeriodEnd,PublishedAt,TotalAssets,NetIncome,OperatingCashFlow,BookEquity,SharesOutstanding")
throw new InvalidOperationException("Invalid annual financial report CSV header.");
var keys = new HashSet<(string, DateTime, DateTime)>();
while (lines.MoveNext())
{
if (string.IsNullOrWhiteSpace(lines.Current)) continue;
var row = lines.Current.Split(',');
if (row.Length != 8) throw new InvalidOperationException("A financial report must have eight fields.");
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 = DateTime.ParseExact(row[2].Trim(), "yyyy-MM-dd'T'HH:mm:ss'Z'", CultureInfo.InvariantCulture, DateTimeStyles.AssumeUniversal | DateTimeStyles.AdjustToUniversal);
var numbers = row.Skip(3).Select(x => decimal.Parse(x, CultureInfo.InvariantCulture)).ToArray();
if (numbers[0] <= 0m || numbers[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, numbers[0], numbers[1], numbers[2], numbers[3], numbers[4]));
}
}
}
private Report FindReport(Security security, DateTime time, DateTime? period = null)
=> _reports.Where(r => string.Equals(r.Id, security.Id, StringComparison.OrdinalIgnoreCase)
&& r.Published <= time && r.Period <= time.Date && (period is null || r.Period == period))
.OrderByDescending(r => r.Period).ThenByDescending(r => r.Published).FirstOrDefault();
private bool SelectTargets(DateTime time)
{
if (time.Month != RebalanceMonth) return false;
var scores = new List<(Security security, decimal score)>();
foreach (var security in _securities)
{
var report = FindReport(security, time);
if (report is null || (time.Date - report.Period).TotalDays > MaxReportAgeDays) continue;
var score = (report.Income - report.CashFlow) / report.Assets;
scores.Add((security, score));
}
if (scores.Count < Deciles) return false;
var ranked = scores.OrderBy(x => x.score).ThenBy(x => x.security.Id, StringComparer.Ordinal).Select(x => x.security).ToArray();
var count = ranked.Length / Deciles;
SetBasketTargets(ranked.Take(count), ranked.TakeLast(count), Capital * Leverage);
return true;
}
private void SetBasketTargets(IEnumerable<Security> longBasket, IEnumerable<Security> shortBasket, decimal grossCapital)
{
var longs = longBasket.ToArray();
var shorts = shortBasket.ToArray();
foreach (var s in _securities) _targets[s] = 0m;
foreach (var s in longs) _targets[s] = Units(s, grossCapital / (2m * longs.Length));
foreach (var s in shorts) _targets[s] = -Units(s, 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 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 accrual_anomaly_strategy(Strategy):
"""Accrual Anomaly with explicit inputs and execution-based portfolio accounting."""
def __init__(self):
super(accrual_anomaly_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._fundamentals_file = self.Param[str]("FundamentalsFile", None).SetRequired() \
.SetDisplay("FundamentalsFile", "Point-in-time annual financial reports in CSV format", "Parameters")
self._rebalance_month = self.Param("RebalanceMonth", 5).SetRange(1, 12) \
.SetDisplay("RebalanceMonth", "UTC calendar month of the annual portfolio rebalance", "Parameters")
self._max_report_age_days = self.Param("MaxReportAgeDays", 550).SetGreaterThanZero() \
.SetDisplay("MaxReportAgeDays", "Maximum age of the fiscal period at a rebalance", "Parameters")
self._clear_state()
def _clear_state(self):
self._securities = []
self._latest = {}
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 Deciles(self):
return self._deciles.Value
@Deciles.setter
def Deciles(self, value):
self._deciles.Value = value
@property
def FundamentalsFile(self):
return self._fundamentals_file.Value
@FundamentalsFile.setter
def FundamentalsFile(self, value):
self._fundamentals_file.Value = value
@property
def RebalanceMonth(self):
return self._rebalance_month.Value
@RebalanceMonth.setter
def RebalanceMonth(self, value):
self._rebalance_month.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
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(accrual_anomaly_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.")
if not self.FundamentalsFile:
raise InvalidOperationException("FundamentalsFile is required.")
self._load_reports()
super(accrual_anomaly_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)
if len(self._latest) != len(self._securities) 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 // 100 != candle.OpenTime.Year and self._select_targets(candle.OpenTime):
self._last_rebalance = month
self._reconcile_targets()
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 = "0351Rebalance"
self._pending.append(order)
self.RegisterOrder(order)
def _load_reports(self):
lines = iter(File.ReadLines(self.FundamentalsFile))
if next(lines, "").strip() != "SecurityId,PeriodEnd,PublishedAt,TotalAssets,NetIncome,OperatingCashFlow,BookEquity,SharesOutstanding":
raise InvalidOperationException("Invalid annual financial report CSV header.")
keys = set()
for line in lines:
if not line.strip():
continue
row = line.split(",")
if len(row) != 8:
raise InvalidOperationException("A financial report must have eight fields.")
security_id = row[0].strip()
if not any(s.Id.lower() == security_id.lower() for s in self._securities):
continue
period = DateTime.ParseExact(row[1].strip(), "yyyy-MM-dd", CultureInfo.InvariantCulture)
published = DateTime.ParseExact(row[2].strip(), "yyyy-MM-dd'T'HH:mm:ss'Z'", CultureInfo.InvariantCulture,
DateTimeStyles.AssumeUniversal | DateTimeStyles.AdjustToUniversal)
values = [Decimal.Parse(v, CultureInfo.InvariantCulture) for v in row[3:]]
key = (security_id.upper(), 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((security_id, period, published) + tuple(values))
def _find_report(self, security, time, period=None):
eligible = [r for r in self._reports if r[0].lower() == security.Id.lower()
and r[2] <= time and r[1] <= time.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):
if time.Month != self.RebalanceMonth:
return False
scores = []
for security in self._securities:
report = self._find_report(security, time)
if report is None or (time.Date - report[1]).TotalDays > self.MaxReportAgeDays:
continue
score = (report[4] - report[5]) / report[3]
scores.append((security, score))
if len(scores) < self.Deciles:
return False
ranked = [s for s, score in sorted(scores, key=lambda x: (x[1], x[0].Id))]
count = len(ranked) // self.Deciles
self._set_basket_targets(ranked[:count], ranked[-count:], self.Capital * self.Leverage)
return True
def _set_basket_targets(self, longs, shorts, gross_capital):
self._targets = dict((s, Decimal(0)) for s in self._securities)
for s in longs:
self._targets[s] = self._units(s, gross_capital / Decimal(2 * len(longs)))
for s in shorts:
self._targets[s] = -self._units(s, gross_capital / Decimal(2 * len(shorts)))
def CreateClone(self):
return accrual_anomaly_strategy()