ROAEffect Stocks
交易规则
RoaFile 提供外部发布、单位一致的十进制资产回报率,不能由蜡烛实体或振幅推断。每月将最新有效 ROA 降序排列,买入前 floor(n/Decile) 个并做空同数末尾证券。至少需要 Decile 个有效证券。
必须显式设置 Universe。价格与 Capital 采用 USD,每个价格单位对应一个交易单位。Capital 是固定预算,Leverage 控制总敞口。不添加止损或止盈。
仅处理时间戳一致的已完成蜡烛。统计按不同 UTC 日期计数,同一天的盘中收盘值会被后续值替换。每月在第一个满足条件的同步收盘信号上再平衡一次;数据不足时延迟。相同分数按 Security.Id 排序。
多头和空头各分配 Capital × Leverage 的一半,各篮子内等额分配。按信号收盘价换算数量,并按 VolumeStep 向零取整。根据实际成交仓位调整,等待未完成订单,遵守 MinVolume/MaxVolume,并在后续蜡烛继续大额调整。MinTradeUsd 过滤小额调整,但完整平仓不受此过滤限制。
参数
| 参数 | 默认值 |
|---|---|
Universe |
必填 |
Capital |
100000 |
Leverage |
1 |
MinTradeUsd |
200 |
CandleType |
TimeSpan.FromMinutes(5).TimeFrame() |
RoaFile |
必填 |
Decile |
10 |
MaxScoreAgeDays |
400 |
输入数据
必需评分 CSV:SecurityId,PeriodEnd,PublishedAt,Score。PeriodEnd 用 yyyy-MM-dd,PublishedAt 用 UTC yyyy-MM-ddTHH:mm:ssZ,Score 为十进制数。拒绝重复修订或期末前发布。按真实同步蜡烛 CloseTime 选择最新已发布期间及其最新修订。MaxScoreAgeDays 从 PeriodEnd 起算。缺失、过期或证券不足则延迟审查并保留仓位,价格不能代替评分。
验证
两种语言使用随附 BTC/TON,检查独立公式、订单方向/数量、真实成交、仓位与退出。带日期的价格、因子、日历数据验证机制,重定位 OHLC/成交量不是多年历史。两个排名组、TopN=1、SMA=2 是明确的小证券池测试配置,长窗口和原始默认值另行检查。不承诺盈利。
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>ROAEffect Stocks with point-in-time inputs and execution-based portfolio accounting.</summary>
public class ROAEffectStocksStrategy : 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> _roaFile;
private readonly StrategyParam<int> _decile;
private readonly StrategyParam<int> _maxScoreAgeDays;
private sealed record Score(Security Security, DateTime Period, DateTime Published, decimal Value);
private readonly List<Score> _scores = [];
private Security[] _securities = [];
private readonly Dictionary<Security, (DateTime time, decimal price, DateTime closed)> _latest = [];
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>Required CSV of externally published scores.</summary>
public string RoaFile { get => _roaFile.Value; set => _roaFile.Value = value; }
/// <summary>Number of equal monthly rank buckets.</summary>
public int Decile { get => _decile.Value; set => _decile.Value = value; }
/// <summary>Maximum age of a published score's period end.</summary>
public int MaxScoreAgeDays { get => _maxScoreAgeDays.Value; set => _maxScoreAgeDays.Value = value; }
/// <summary>Initialize the strategy parameters.</summary>
public ROAEffectStocksStrategy()
{
_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(5).TimeFrame())
.SetDisplay("CandleType", "Finished execution candle type.", "Parameters");
_roaFile = Param<string>(nameof(RoaFile)).SetRequired()
.SetDisplay("RoaFile", "Required CSV of externally published scores.", "Parameters");
_decile = Param(nameof(Decile), 10).SetRange(2, int.MaxValue)
.SetDisplay("Decile", "Number of equal monthly rank buckets.", "Parameters");
_maxScoreAgeDays = Param(nameof(MaxScoreAgeDays), 400).SetRange(1, int.MaxValue)
.SetDisplay("MaxScoreAgeDays", "Maximum age of a published score's period end.", "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();
_scores.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.");
}
LoadScores();
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);
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 = "0393Rebalance",
};
_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 void LoadScores()
{
var keys = new HashSet<(Security, DateTime, DateTime)>();
foreach (var row in ReadRows(RoaFile, "SecurityId,PeriodEnd,PublishedAt,Score", 4))
{
var security = _securities.SingleOrDefault(s => string.Equals(s.Id, row[0].Trim(), StringComparison.OrdinalIgnoreCase));
if (security is null) continue;
var period = DateTime.ParseExact(row[1].Trim(), "yyyy-MM-dd", CultureInfo.InvariantCulture);
var published = ParseUtc(row[2]);
var value = decimal.Parse(row[3], CultureInfo.InvariantCulture);
if (published.Date < period || !keys.Add((security, period, published)))
throw new InvalidOperationException("Scores need causal, unique publication timestamps.");
_scores.Add(new(security, period, published, value));
}
}
private bool SelectTargets(DateTime time, DateTime asOf)
{
var scores = new List<(Security security, decimal score)>();
foreach (var security in _securities)
{
var score = _scores.Where(r => r.Security == security && r.Published <= asOf && r.Period <= time.Date)
.OrderByDescending(r => r.Period).ThenByDescending(r => r.Published).FirstOrDefault();
if (score is null || (time.Date - score.Period).TotalDays > MaxScoreAgeDays) continue;
scores.Add((security, score.Value));
}
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 roa_effect_stocks_strategy(Strategy):
"""ROAEffect Stocks with point-in-time inputs and execution-based portfolio accounting."""
def __init__(self):
super(roa_effect_stocks_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(5))) \
.SetDisplay("CandleType", "Finished execution candle type.", "Parameters")
self._roa_file = self.Param[str]("RoaFile", None).SetRequired() \
.SetDisplay("RoaFile", "Required CSV of externally published scores.", "Parameters")
self._decile = self.Param("Decile", 10).SetRange(2, 2147483647) \
.SetDisplay("Decile", "Number of equal monthly rank buckets.", "Parameters")
self._max_score_age_days = self.Param("MaxScoreAgeDays", 400).SetRange(1, 2147483647) \
.SetDisplay("MaxScoreAgeDays", "Maximum age of a published score's period end.", "Parameters")
self._clear_state()
def _clear_state(self):
self._securities = []
self._latest = {}
self._scores = []
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 RoaFile(self):
return self._roa_file.Value
@RoaFile.setter
def RoaFile(self, value):
self._roa_file.Value = value
@property
def Decile(self):
return self._decile.Value
@Decile.setter
def Decile(self, value):
self._decile.Value = value
@property
def MaxScoreAgeDays(self):
return self._max_score_age_days.Value
@MaxScoreAgeDays.setter
def MaxScoreAgeDays(self, value):
self._max_score_age_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(roa_effect_stocks_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._load_scores()
super(roa_effect_stocks_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)
if len(self._latest) != len(self._securities) or any(v[0] != candle.OpenTime for v 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(v[2] for v 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 = "0393Rebalance"
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 _load_scores(self):
keys = set()
for row in self._read_rows(self.RoaFile, "SecurityId,PeriodEnd,PublishedAt,Score", 4):
security = next((s for s in self._securities if s.Id.upper() == row[0].strip().upper()), None)
if security is None:
continue
period = DateTime.ParseExact(row[1].strip(), "yyyy-MM-dd", CultureInfo.InvariantCulture)
published = self._parse_utc(row[2])
value = Decimal.Parse(row[3], CultureInfo.InvariantCulture)
if published.Date < period or (security, period, published) in keys:
raise InvalidOperationException("Scores need causal, unique publication timestamps.")
keys.add((security, period, published))
self._scores.append((security, period, published, value))
def _select_targets(self, time, as_of):
scores = []
for security in self._securities:
reports = [r for r in self._scores if r[0] == security and r[2] <= as_of and r[1] <= time.Date]
if not reports:
continue
report = max(reports, key=lambda r: (r[1], r[2]))
if (time.Date - report[1]).TotalDays <= self.MaxScoreAgeDays:
scores.append((security, report[3]))
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 roa_effect_stocks_strategy()