Asset Growth Effect
Reglas de negociación
Crecimiento = TotalAssets(último ejercicio publicado) / TotalAssets(misma fecha fiscal un año antes) − 1. Ambos informes deben conocerse al generar la señal. Comprar el cuantil inferior y vender el superior, floor(cantidad / Quantiles) por lado. Se necesitan Quantiles pares completos. Rebalanceo anual en julio por defecto.
Se rebalancea una vez al año, en RebalanceMonth, en la primera vela cerrada conjunta apta. Los informes publicados después no afectan decisiones anteriores. MaxReportAgeDays se cuenta desde PeriodEnd.
Datos de entrada
FundamentalsFile es obligatorio: SecurityId,PeriodEnd,PublishedAt,TotalAssets,NetIncome,OperatingCashFlow,BookEquity,SharesOutstanding. PeriodEnd: yyyy-MM-dd; PublishedAt: yyyy-MM-ddTHH:mm:ssZ (UTC). Activos y acciones deben ser positivos. Se elige el período más reciente y la última revisión publicada antes de la señal. Se rechazan revisiones duplicadas y publicaciones anteriores al cierre del período. No se inventan fundamentales a partir de velas.
Parámetros
| Parámetro | Valor predeterminado |
|---|---|
Universe |
obligatorio |
Capital |
100000 |
Leverage |
1 |
MinTradeUsd |
50 |
CandleType |
TimeSpan.FromMinutes(5).TimeFrame() |
Quantiles |
10 |
FundamentalsFile |
obligatorio |
RebalanceMonth |
7 |
MaxReportAgeDays |
550 |
Ejecución
Universe se configura explícitamente. Los precios y Capital se expresan en USD por unidad negociada. Capital es un presupuesto fijo; Leverage determina la exposición bruta. No se añaden stop loss ni take profit.
Cada cesta recibe la mitad de Capital × Leverage, repartida por igual. Se convierte a unidades al cierre de señal y se redondea hacia cero según VolumeStep. Se usan posiciones realmente ejecutadas, se esperan órdenes pendientes y se respetan MinVolume/MaxVolume dividiendo ajustes grandes entre velas posteriores. MinTradeUsd filtra ajustes pequeños, pero no liquidaciones completas.
Verificación
Las ejecuciones usan únicamente el archivo BTC/TON disponible. Los informes, observaciones de opciones e historial de preparación explícitos son datos de prueba de la mecánica, no fundamentales ni historia de opciones reales. Las ventanas reducidas, dos grupos y marzo como mes anual son perfiles de prueba identificados, no validación de los valores largos originales. No se afirma rentabilidad.
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>Asset Growth Effect with explicit inputs and execution-based portfolio accounting.</summary>
public class AssetGrowthEffectStrategy : 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> _quantiles;
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 Quantiles { get => _quantiles.Value; set => _quantiles.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 AssetGrowthEffectStrategy()
{
_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");
_quantiles = Param(nameof(Quantiles), 10).SetRange(2, 10000)
.SetDisplay("Quantiles", "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), 7).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 = "0353Rebalance",
};
_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 prior = FindReport(security, time, report.Period.AddYears(-1));
if (prior is null) continue;
var score = report.Assets / prior.Assets - 1m;
scores.Add((security, score));
}
if (scores.Count < Quantiles) 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 / Quantiles;
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 asset_growth_effect_strategy(Strategy):
"""Asset Growth Effect with explicit inputs and execution-based portfolio accounting."""
def __init__(self):
super(asset_growth_effect_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._quantiles = self.Param("Quantiles", 10).SetRange(2, 10000) \
.SetDisplay("Quantiles", "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", 7).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 Quantiles(self):
return self._quantiles.Value
@Quantiles.setter
def Quantiles(self, value):
self._quantiles.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(asset_growth_effect_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(asset_growth_effect_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 = "0353Rebalance"
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
prior = self._find_report(security, time, report[1].AddYears(-1))
if prior is None:
continue
score = report[3] / prior[3] - Decimal(1)
scores.append((security, score))
if len(scores) < self.Quantiles:
return False
ranked = [s for s, score in sorted(scores, key=lambda x: (x[1], x[0].Id))]
count = len(ranked) // self.Quantiles
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 asset_growth_effect_strategy()