Momentum Rev Vol
Trading rules
For each security use distinct completed daily closes P. M = P[t]/P[t−Lookback12]−1, R = P[t]/P[t−Lookback1]−1 and V is the sample standard deviation of the last VolWindow simple daily returns (denominator N−1). Score = WM×M − WR×R − WV×V, without cross-sectional normalization. Rank descending; buy floor(n/Decile) leaders and short the same number of laggards. Require at least Decile eligible securities. Freeze quantities between monthly reviews.
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.
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.
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.
Parameters
| Parameter | Default |
|---|---|
Universe |
required |
Capital |
100000 |
Leverage |
1 |
MinTradeUsd |
200 |
CandleType |
TimeSpan.FromMinutes(1440).TimeFrame() |
PriceHistoryFile |
not supplied |
Lookback12 |
252 |
Lookback1 |
21 |
VolWindow |
60 |
WM |
1 |
WR |
1 |
WV |
1 |
Decile |
10 |
Input data
Optional PriceHistoryFile CSV: SecurityId,Date,Close, positive close, distinct security/date, date yyyy-MM-dd. Intraday decisions use only dates before the current UTC date; a finished one-day candle contributes its own completed close. Future rows cannot prefill earlier decisions. Execution candles replace their own daily value.
Verification
Both languages are checked with the packaged BTC/TON history, independent formulas, actual order sides/quantities, fills, positions and exits. Dated price/factor and calendar fixtures test mechanics; relocated OHLC/volume is not multi-year market history. Two rank buckets, TopN=1 and SMA=2 are explicit small-universe test profiles. Published long lookbacks/defaults are checked separately. 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 Rev Vol with point-in-time inputs and execution-based portfolio accounting.</summary>
public class MomentumRevVolStrategy : 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> _lookback12;
private readonly StrategyParam<int> _lookback1;
private readonly StrategyParam<int> _volWindow;
private readonly StrategyParam<decimal> _wM;
private readonly StrategyParam<decimal> _wR;
private readonly StrategyParam<decimal> _wV;
private readonly StrategyParam<int> _decile;
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;
/// <summary>Explicit execution universe with native volume metadata.</summary>
public IEnumerable<Security> Universe { get => _universe.Value; set => _universe.Value = value; }
/// <summary>Fixed USD capital budget.</summary>
public decimal Capital { get => _capital.Value; set => _capital.Value = value; }
/// <summary>Gross exposure divided by capital.</summary>
public decimal Leverage { get => _leverage.Value; set => _leverage.Value = value; }
/// <summary>Minimum USD adjustment; complete liquidation is exempt.</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 CSV of causal daily close prices.</summary>
public string PriceHistoryFile { get => _priceHistoryFile.Value; set => _priceHistoryFile.Value = value; }
/// <summary>Daily return intervals for long-term momentum.</summary>
public int Lookback12 { get => _lookback12.Value; set => _lookback12.Value = value; }
/// <summary>Daily return intervals for reversal.</summary>
public int Lookback1 { get => _lookback1.Value; set => _lookback1.Value = value; }
/// <summary>Daily returns in the sample volatility window.</summary>
public int VolWindow { get => _volWindow.Value; set => _volWindow.Value = value; }
/// <summary>Weight of long-term momentum.</summary>
public decimal WM { get => _wM.Value; set => _wM.Value = value; }
/// <summary>Weight of negative short-term returns.</summary>
public decimal WR { get => _wR.Value; set => _wR.Value = value; }
/// <summary>Weight of negative sample return volatility.</summary>
public decimal WV { get => _wV.Value; set => _wV.Value = value; }
/// <summary>Number of equal rank buckets.</summary>
public int Decile { get => _decile.Value; set => _decile.Value = value; }
/// <summary>Initialize the strategy parameters.</summary>
public MomentumRevVolStrategy()
{
_universe = Param<IEnumerable<Security>>(nameof(Universe)).SetRequired()
.SetDisplay("Universe", "Explicit execution universe with native volume metadata.", "Parameters");
_capital = Param(nameof(Capital), 100000m).SetRange(0.000001m, decimal.MaxValue)
.SetDisplay("Capital", "Fixed USD capital budget.", "Parameters");
_leverage = Param(nameof(Leverage), 1m).SetRange(0.000001m, decimal.MaxValue)
.SetDisplay("Leverage", "Gross exposure divided by capital.", "Parameters");
_minTradeUsd = Param(nameof(MinTradeUsd), 200m).SetRange(0m, decimal.MaxValue)
.SetDisplay("MinTradeUsd", "Minimum USD adjustment; complete liquidation is exempt.", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1440).TimeFrame())
.SetDisplay("CandleType", "Finished execution candle type.", "Parameters");
_priceHistoryFile = Param<string>(nameof(PriceHistoryFile))
.SetDisplay("PriceHistoryFile", "Optional CSV of causal daily close prices.", "Parameters");
_lookback12 = Param(nameof(Lookback12), 252).SetRange(1, int.MaxValue)
.SetDisplay("Lookback12", "Daily return intervals for long-term momentum.", "Parameters");
_lookback1 = Param(nameof(Lookback1), 21).SetRange(1, int.MaxValue)
.SetDisplay("Lookback1", "Daily return intervals for reversal.", "Parameters");
_volWindow = Param(nameof(VolWindow), 60).SetRange(2, int.MaxValue)
.SetDisplay("VolWindow", "Daily returns in the sample volatility window.", "Parameters");
_wM = Param(nameof(WM), 1m).SetRange(0m, decimal.MaxValue)
.SetDisplay("WM", "Weight of long-term momentum.", "Parameters");
_wR = Param(nameof(WR), 1m).SetRange(0m, decimal.MaxValue)
.SetDisplay("WR", "Weight of negative short-term returns.", "Parameters");
_wV = Param(nameof(WV), 1m).SetRange(0m, decimal.MaxValue)
.SetDisplay("WV", "Weight of negative sample return volatility.", "Parameters");
_decile = Param(nameof(Decile), 10).SetRange(2, int.MaxValue)
.SetDisplay("Decile", "Number of equal rank buckets.", "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;
}
/// <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 (_lastRebalance != month && SelectTargets(candle.OpenTime))
_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 = "0380Rebalance",
};
_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 bool SelectTargets(DateTime time)
{
var scores = new List<(Security security, decimal score)>();
var lookback = Math.Max(Lookback12, Math.Max(Lookback1, VolWindow));
foreach (var security in _securities)
{
var prices = Daily(security, time, lookback + 1, DateTime.MaxValue);
if (prices.Length != lookback + 1) continue;
var returns = prices.TakeLast(VolWindow + 1).Zip(prices.TakeLast(VolWindow), (a, b) => b / a - 1m).ToArray();
var mean = returns.Average();
var variance = returns.Sum(r => (r - mean) * (r - mean)) / (returns.Length - 1);
var volatility = (decimal)Math.Sqrt((double)variance);
var score = WM * (prices[^1] / prices[^(Lookback12 + 1)] - 1m)
- WR * (prices[^1] / prices[^(Lookback1 + 1)] - 1m) - WV * volatility;
scores.Add((security, score));
}
if (scores.Count < Decile) return false;
var ranked = scores.OrderByDescending(x => x.score).ThenBy(x => x.security.Id, StringComparer.Ordinal).Select(x => x.security).ToArray();
var count = ranked.Length / Decile;
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_rev_vol_strategy(Strategy):
"""Momentum Rev Vol with point-in-time inputs and execution-based portfolio accounting."""
def __init__(self):
super(momentum_rev_vol_strategy, self).__init__()
self._universe = self.Param[IEnumerable[Security]]("Universe", None).SetRequired() \
.SetDisplay("Universe", "Explicit execution universe with native volume metadata.", "Parameters")
self._capital = self.Param("Capital", Decimal(100000)).SetRange(Decimal(0.000001), Decimal.MaxValue) \
.SetDisplay("Capital", "Fixed USD capital budget.", "Parameters")
self._leverage = self.Param("Leverage", Decimal(1)).SetRange(Decimal(0.000001), Decimal.MaxValue) \
.SetDisplay("Leverage", "Gross exposure divided by capital.", "Parameters")
self._min_trade_usd = self.Param("MinTradeUsd", Decimal(200)).SetRange(Decimal(0), Decimal.MaxValue) \
.SetDisplay("MinTradeUsd", "Minimum USD adjustment; complete liquidation is exempt.", "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 CSV of causal daily close prices.", "Parameters")
self._lookback12 = self.Param("Lookback12", 252).SetRange(1, 2147483647) \
.SetDisplay("Lookback12", "Daily return intervals for long-term momentum.", "Parameters")
self._lookback1 = self.Param("Lookback1", 21).SetRange(1, 2147483647) \
.SetDisplay("Lookback1", "Daily return intervals for reversal.", "Parameters")
self._vol_window = self.Param("VolWindow", 60).SetRange(2, 2147483647) \
.SetDisplay("VolWindow", "Daily returns in the sample volatility window.", "Parameters")
self._wm = self.Param("WM", Decimal(1)).SetRange(Decimal(0), Decimal.MaxValue) \
.SetDisplay("WM", "Weight of long-term momentum.", "Parameters")
self._wr = self.Param("WR", Decimal(1)).SetRange(Decimal(0), Decimal.MaxValue) \
.SetDisplay("WR", "Weight of negative short-term returns.", "Parameters")
self._wv = self.Param("WV", Decimal(1)).SetRange(Decimal(0), Decimal.MaxValue) \
.SetDisplay("WV", "Weight of negative sample return volatility.", "Parameters")
self._decile = self.Param("Decile", 10).SetRange(2, 2147483647) \
.SetDisplay("Decile", "Number of equal rank buckets.", "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
@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 Lookback12(self):
return self._lookback12.Value
@Lookback12.setter
def Lookback12(self, value):
self._lookback12.Value = value
@property
def Lookback1(self):
return self._lookback1.Value
@Lookback1.setter
def Lookback1(self, value):
self._lookback1.Value = value
@property
def VolWindow(self):
return self._vol_window.Value
@VolWindow.setter
def VolWindow(self, value):
self._vol_window.Value = value
@property
def WM(self):
return self._wm.Value
@WM.setter
def WM(self, value):
self._wm.Value = value
@property
def WR(self):
return self._wr.Value
@WR.setter
def WR(self, value):
self._wr.Value = value
@property
def WV(self):
return self._wv.Value
@WV.setter
def WV(self, value):
self._wv.Value = value
@property
def Decile(self):
return self._decile.Value
@Decile.setter
def Decile(self, value):
self._decile.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_rev_vol_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(momentum_rev_vol_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 self._last_rebalance != month and self._select_targets(candle.OpenTime):
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 = "0380Rebalance"
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 _select_targets(self, time):
scores = []
lookback = max(self.Lookback12, self.Lookback1, self.VolWindow)
for security in self._securities:
prices = self._daily(security, time, lookback + 1, DateTime.MaxValue)
if len(prices) != lookback + 1:
continue
sample = prices[-self.VolWindow - 1:]
returns = [sample[i + 1] / sample[i] - Decimal(1) for i in range(len(sample) - 1)]
mean = sum(returns, Decimal(0)) / Decimal(len(returns))
variance = sum(((r - mean) * (r - mean) for r in returns), Decimal(0)) / Decimal(len(returns) - 1)
volatility = Decimal(Math.Sqrt(float(variance)))
score = self.WM * (prices[-1] / prices[-self.Lookback12 - 1] - Decimal(1)) - self.WR * (prices[-1] / prices[-self.Lookback1 - 1] - Decimal(1)) - self.WV * volatility
scores.append((security, score))
if len(scores) < self.Decile:
return False
ranked = [s for s, score in sorted(scores, key=lambda x: (-x[1], x[0].Id))]
count = len(ranked) // self.Decile
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_rev_vol_strategy()