ESG Factor Momentum
Trading rules
Universe must already contain ESG-screened securities; the strategy does not manufacture an ESG rating. Monthly momentum = P[d] / P[d−LookbackDays] − 1 from LookbackDays + 1 completed daily closes. Buy only the highest return, even if all returns are negative. At every monthly review completely liquidate all old positions and wait for their actual fills before buying the winner, including when the winner is unchanged. Use the full capital budget capped by reported portfolio value; no leverage or short positions.
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.
Input data
PriceHistoryFile is an optional CSV of positive daily closes: SecurityId,Date,Close. Dates use yyyy-MM-dd. Current and future dates cannot prefill a decision; live finished closes replace each UTC date. Duplicate dates are rejected. It is needed to warm long lookbacks when the execution archive is short.
Parameters
| Parameter | Default |
|---|---|
Universe |
required |
Capital |
100000 |
MinTradeUsd |
100 |
CandleType |
TimeSpan.FromDays(1).TimeFrame() |
PriceHistoryFile |
optional — not supplied |
LookbackDays |
252 |
Execution
Universe is explicit. Execution prices and Capital use USD per traded unit. Long-only exposure is capped at min(Capital, reported Portfolio.CurrentValue); an unavailable/nonpositive portfolio value leaves no buying budget. No leverage, stop loss or take profit.
Round target quantities toward zero to VolumeStep. Wait for actual liquidation fills before opening new positions; reconcile actual positions, respect MinVolume/MaxVolume and split large adjustments across later candles. MinTradeUsd filters nonzero target adjustments, while 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>ESG Factor Momentum with point-in-time inputs and execution-based portfolio accounting.</summary>
public class ESGFactorMomentumStrategy : Strategy
{
private readonly StrategyParam<IEnumerable<Security>> _universe;
private readonly StrategyParam<decimal> _capital;
private readonly StrategyParam<decimal> _minTradeUsd;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<string> _priceHistoryFile;
private readonly StrategyParam<int> _lookbackDays;
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 readonly Dictionary<Security, decimal> _nextTargets = [];
private bool _isRotating;
private bool _isReconciling;
/// <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>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 in the trailing momentum window.</summary>
public int LookbackDays { get => _lookbackDays.Value; set => _lookbackDays.Value = value; }
/// <summary>Initialize the strategy parameters.</summary>
public ESGFactorMomentumStrategy()
{
_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");
_minTradeUsd = Param(nameof(MinTradeUsd), 100m).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");
_lookbackDays = Param(nameof(LookbackDays), 252).SetRange(1, int.MaxValue)
.SetDisplay("LookbackDays", "Completed daily returns in the trailing momentum window", "Parameters");
Trades.TradeAdded += _ => ContinueRotation();
}
/// <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;
_nextTargets.Clear();
_isRotating = false;
_isReconciling = false;
}
/// <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();
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);
_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 (!_isRotating && _lastRebalance != month && SelectTargets(candle.OpenTime))
_lastRebalance = month;
ReconcileTargets();
}
private decimal Budget => Math.Max(0m, Math.Min(Capital, Portfolio.CurrentValue.GetValueOrDefault()));
private DateTime AsOf(DateTime time)
=> CandleType.Arg is TimeSpan frame ? time.Add(frame).AddTicks(-1) : time;
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 (_isReconciling) return;
if (_pending.Any(o => o.State is not (OrderStates.Done or OrderStates.Failed))) return;
_pending.Clear();
_isReconciling = true;
try
{
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 = "0371Rebalance",
};
_pending.Add(order);
RegisterOrder(order);
}
}
finally
{
_isReconciling = false;
}
ContinueRotation();
}
private void BeginRotation(Dictionary<Security, decimal> targets)
{
_nextTargets.Clear();
foreach (var target in targets) _nextTargets[target.Key] = target.Value;
foreach (var security in _securities) _targets[security] = 0m;
_isRotating = true;
}
private void ContinueRotation()
{
if (!_isRotating || _isReconciling || !IsFormedAndOnlineAndAllowTrading()
|| _pending.Any(o => o.State is not (OrderStates.Done or OrderStates.Failed))
|| _securities.Any(s => GetPositionValue(s, Portfolio).GetValueOrDefault() != 0m)) return;
_isRotating = false;
foreach (var security in _securities) _targets[security] = _nextTargets.GetValueOrDefault(security);
_nextTargets.Clear();
ReconcileTargets();
}
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 bool SelectTargets(DateTime time)
{
var scores = new List<(Security security, decimal score)>();
foreach (var security in _securities)
{
var prices = Daily(security, time, LookbackDays + 1, DateTime.MaxValue);
if (prices.Length == LookbackDays + 1) scores.Add((security, prices[^1] / prices[0] - 1m));
}
if (scores.Count == 0) return false;
var winner = scores.OrderByDescending(x => x.score).ThenBy(x => x.security.Id, StringComparer.Ordinal).First().security;
BeginRotation(new Dictionary<Security, decimal> { [winner] = Units(winner, Budget) });
return true;
}
}
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 esg_factor_momentum_strategy(Strategy):
"""ESG Factor Momentum with point-in-time inputs and execution-based portfolio accounting."""
def __init__(self):
super(esg_factor_momentum_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._min_trade_usd = self.Param("MinTradeUsd", Decimal(100)).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._lookback_days = self.Param("LookbackDays", 252).SetRange(1, 2147483647) \
.SetDisplay("LookbackDays", "Completed daily returns in the trailing momentum window", "Parameters")
self._clear_state()
self.Trades.TradeAdded += self._on_trade
def _clear_state(self):
self._securities = []
self._latest = {}
self._history = {}
self._targets = {}
self._pending = []
self._last_rebalance = 0
self._last_bar = None
self._next_targets = {}
self._is_rotating = False
self._is_reconciling = False
@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 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 LookbackDays(self):
return self._lookback_days.Value
@LookbackDays.setter
def LookbackDays(self, value):
self._lookback_days.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(esg_factor_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 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()
super(esg_factor_momentum_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)
self._history[security][candle.OpenTime.Date] = 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 not self._is_rotating and self._last_rebalance != month and self._select_targets(candle.OpenTime):
self._last_rebalance = month
self._reconcile_targets()
def _budget(self):
return max(Decimal(0), min(self.Capital, self.Portfolio.CurrentValue if self.Portfolio.CurrentValue is not None else Decimal(0)))
def _as_of(self, time):
return time.Add(self.CandleType.Arg).AddTicks(-1)
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 self._is_reconciling:
return
if any(o.State != OrderStates.Done and o.State != OrderStates.Failed for o in self._pending):
return
self._pending = []
self._is_reconciling = True
try:
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 = "0371Rebalance"
self._pending.append(order)
self.RegisterOrder(order)
finally:
self._is_reconciling = False
self._continue_rotation()
def _begin_rotation(self, targets):
self._next_targets = targets
self._targets = {s: Decimal(0) for s in self._securities}
self._is_rotating = True
def _on_trade(self, trade):
self._continue_rotation()
def _continue_rotation(self):
if not self._is_rotating or self._is_reconciling or not self.IsFormedAndOnlineAndAllowTrading():
return
if any(o.State != OrderStates.Done and o.State != OrderStates.Failed for o in self._pending):
return
if any((self.GetPositionValue(s, self.Portfolio) or Decimal(0)) != 0 for s in self._securities):
return
self._is_rotating = False
self._targets = {s: self._next_targets.get(s, Decimal(0)) for s in self._securities}
self._next_targets = {}
self._reconcile_targets()
@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 _select_targets(self, time):
scores = []
for security in self._securities:
prices = self._daily(security, time, self.LookbackDays + 1, DateTime.MaxValue)
if len(prices) == self.LookbackDays + 1:
scores.append((security, prices[-1] / prices[0] - Decimal(1)))
if not scores:
return False
winner = sorted(scores, key=lambda x: (-x[1], x[0].Id))[0][0]
self._begin_rotation({winner: self._units(winner, self._budget())})
return True
def CreateClone(self):
return esg_factor_momentum_strategy()