Fed Model
交易规则
Universe 顺序为 [股票 ETF,可选现金 ETF]。仅使用日蜡烛和第一个证券的交易所日历。在每月最后一个交易日收盘,要求此前已发布的 RegressionMonths 个连续月度观测。带截距回归:y = EarningsYield − BondYield,x = 0..N−1;slope = Σ((x−mean(x))×(y−mean(y))) / Σ(x−mean(x))²;预测 = mean(y) + slope×(N−mean(x))。正值持有股票,负值持有现金 ETF 或现金,零值保持原状态。仅在状态改变时交易,同一状态不按月重设仓位。必须先完成旧仓平仓成交再买入。
所有观测必须在信号蜡烛收盘前发布。日内执行仅使用当前 UTC 日期之前的日价格;完整日蜡烛可计入自身日期。未来 CSV 日期不得提前预热决策。
发布截止时刻为同步完成蜡烛中最晚的实际 CloseTime。交易时段可能早于所设完整蜡烛间隔结束。
输入数据
YieldHistoryFile 为必需 CSV:Month,PublishedAt,EarningsYield,BondYield。Month 用 yyyy-MM,PublishedAt 用 UTC yyyy-MM-ddTHH:mm:ssZ。两项收益率单位相同。仅采用截至决策收盘已发布的修订。需要连续月份并包含决策月,缺失则延迟该月预测。拒绝重复修订及早于观测月份的发布。使用实测市场/财务数据,不用反价格代理。
参数
| 参数 | 默认值 |
|---|---|
Universe |
必填 |
Capital |
100000 |
MinTradeUsd |
100 |
CandleType |
TimeSpan.FromDays(1).TimeFrame() |
RegressionMonths |
12 |
YieldHistoryFile |
必填 |
成交与仓位
明确指定 Universe,执行价格和 Capital 单位为每交易单位美元。多头敞口上限为 min(Capital, 已报告 Portfolio.CurrentValue),未知或非正组合价值不给出买入预算。无杠杆、止损或止盈。
目标数量按 VolumeStep 向零取整。新开仓前等待全部平仓实际成交,依据真实仓位协调,遵守 MinVolume/MaxVolume,大额调整分散到后续蜡烛。MinTradeUsd 过滤非零目标调整,完整平仓绕过此限制。
验证
两种语言均使用随附 BTC/TON 执行数据和明确的利率、财务、评分、文本及预热测试数据。日历测试重新定位归档 OHLC/成交量并提供确定性报价,并非多年市场历史。检查独立公式、订单方向/数量、真实成交、剩余仓位及禁止决策日期。两组、K=1 和 AssetDecile=1 是明确的机制测试配置,不能证明完整生产证券池。无盈利承诺。
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using System.Globalization;
using System.IO;
using System.Linq;
using Ecng.Common;
using Ecng.ComponentModel;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>Fed Model with point-in-time inputs and execution-based portfolio accounting.</summary>
public class FedModelStrategy : 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<int> _regressionMonths;
private readonly StrategyParam<string> _yieldHistoryFile;
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;
private readonly Dictionary<Security, decimal> _nextTargets = [];
private bool _isRotating;
private bool _isReconciling;
private sealed record Yield(DateTime Month, DateTime Published, decimal Spread);
private readonly List<Yield> _yields = [];
private bool? _equityRegime;
/// <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>Consecutive monthly yield spreads in the OLS forecast.</summary>
public int RegressionMonths { get => _regressionMonths.Value; set => _regressionMonths.Value = value; }
/// <summary>Required point-in-time monthly equity earnings and ten-year bond yields.</summary>
public string YieldHistoryFile { get => _yieldHistoryFile.Value; set => _yieldHistoryFile.Value = value; }
/// <summary>Initialize the strategy parameters.</summary>
public FedModelStrategy()
{
_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");
_regressionMonths = Param(nameof(RegressionMonths), 12).SetRange(2, 120)
.SetDisplay("RegressionMonths", "Consecutive monthly yield spreads in the OLS forecast", "Parameters");
_yieldHistoryFile = Param<string>(nameof(YieldHistoryFile)).SetRequired()
.SetDisplay("YieldHistoryFile", "Required point-in-time monthly equity earnings and ten-year bond yields", "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();
_targets.Clear();
_pending.Clear();
_lastRebalance = 0;
_lastBar = null;
_nextTargets.Clear();
_isRotating = false;
_isReconciling = false;
_yields.Clear();
_equityRegime = 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.");
}
if (_securities.Length > 2 || CandleType.Arg is not TimeSpan frame || frame != TimeSpan.FromDays(1) || _securities.Any(s => s.Board is null))
throw new InvalidOperationException("The Fed model requires daily candles, an equity security and at most one cash security, with exchange calendars.");
LoadYields();
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 (!_isRotating && _lastRebalance != month && SelectTargets(candle.OpenTime, _latest.Values.Max(v => v.closed)))
_lastRebalance = month;
ReconcileTargets();
}
private decimal Budget => Math.Max(0m, Math.Min(Capital, Portfolio.CurrentValue.GetValueOrDefault()));
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 = "0372Rebalance",
};
_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 void LoadYields()
{
var keys = new HashSet<(DateTime, DateTime)>();
foreach (var row in ReadRows(YieldHistoryFile, "Month,PublishedAt,EarningsYield,BondYield", 4))
{
var month = DateTime.ParseExact(row[0].Trim(), "yyyy-MM", CultureInfo.InvariantCulture);
var published = ParseUtc(row[1]);
var earnings = decimal.Parse(row[2], CultureInfo.InvariantCulture);
var bond = decimal.Parse(row[3], CultureInfo.InvariantCulture);
if (published.Date < month || !keys.Add((month, published)))
throw new InvalidOperationException("Monthly yield observations need causal, unique publication dates.");
_yields.Add(new(month, published, earnings - bond));
}
}
private bool SelectTargets(DateTime time, DateTime asOf)
{
var calendar = _securities[0].Board.WorkingTime;
if (!calendar.IsWorkingDate(time.Date, true)) return false;
for (var next = time.Date.AddDays(1); next.Month == time.Month; next = next.AddDays(1))
if (calendar.IsWorkingDate(next, true)) return false;
var month = new DateTime(time.Year, time.Month, 1);
var y = new List<decimal>();
for (var i = RegressionMonths - 1; i >= 0; i--)
{
var observation = _yields.Where(v => v.Month == month.AddMonths(-i) && v.Published <= asOf)
.OrderByDescending(v => v.Published).FirstOrDefault();
if (observation is null) return false;
y.Add(observation.Spread);
}
var meanX = (RegressionMonths - 1m) / 2m;
var meanY = y.Average();
var variance = Enumerable.Range(0, RegressionMonths).Sum(i => (i - meanX) * (i - meanX));
var slope = y.Select((v, i) => (i - meanX) * (v - meanY)).Sum() / variance;
var prediction = meanY + slope * (RegressionMonths - meanX);
if (prediction == 0m) return false;
var equity = prediction > 0m;
if (_equityRegime == equity) return true;
_equityRegime = equity;
var security = equity ? _securities[0] : _securities.ElementAtOrDefault(1);
var targets = new Dictionary<Security, decimal>();
if (security is not null) targets[security] = Units(security, Budget);
BeginRotation(targets);
return true;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.BusinessEntities")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("Ecng.ComponentModel")
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 Ecng.ComponentModel import WorkingTimeExtensions
from StockSharp.Algo.Strategies import Strategy
from StockSharp.BusinessEntities import Order, Security
from StockSharp.Messages import CandleStates, DataType, OrderStates, OrderTypes, Sides
class fed_model_strategy(Strategy):
"""Fed Model with point-in-time inputs and execution-based portfolio accounting."""
def __init__(self):
super(fed_model_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._regression_months = self.Param("RegressionMonths", 12).SetRange(2, 120) \
.SetDisplay("RegressionMonths", "Consecutive monthly yield spreads in the OLS forecast", "Parameters")
self._yield_history_file = self.Param[str]("YieldHistoryFile", None).SetRequired() \
.SetDisplay("YieldHistoryFile", "Required point-in-time monthly equity earnings and ten-year bond yields", "Parameters")
self._clear_state()
self.Trades.TradeAdded += self._on_trade
def _clear_state(self):
self._securities = []
self._latest = {}
self._targets = {}
self._pending = []
self._last_rebalance = 0
self._last_bar = None
self._next_targets = {}
self._is_rotating = False
self._is_reconciling = False
self._yields = []
self._equity_regime = 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 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 RegressionMonths(self):
return self._regression_months.Value
@RegressionMonths.setter
def RegressionMonths(self, value):
self._regression_months.Value = value
@property
def YieldHistoryFile(self):
return self._yield_history_file.Value
@YieldHistoryFile.setter
def YieldHistoryFile(self, value):
self._yield_history_file.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(fed_model_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.")
if len(self._securities) > 2 or self.CandleType.Arg != TimeSpan.FromDays(1) or any(s.Board is None for s in self._securities):
raise InvalidOperationException("The Fed model requires daily candles, an equity security and at most one cash security, with exchange calendars.")
self._load_yields()
super(fed_model_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(value[0] != candle.OpenTime for value 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, max(value[2] for value in self._latest.values())):
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 _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 = "0372Rebalance"
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 _load_yields(self):
keys = set()
for row in self._read_rows(self.YieldHistoryFile, "Month,PublishedAt,EarningsYield,BondYield", 4):
month = DateTime.ParseExact(row[0].strip(), "yyyy-MM", CultureInfo.InvariantCulture)
published = self._parse_utc(row[1])
earnings = Decimal.Parse(row[2], CultureInfo.InvariantCulture)
bond = Decimal.Parse(row[3], CultureInfo.InvariantCulture)
key = (month, published)
if published.Date < month or key in keys:
raise InvalidOperationException("Monthly yield observations need causal, unique publication dates.")
keys.add(key)
self._yields.append((month, published, earnings - bond))
def _select_targets(self, time, as_of):
calendar = self._securities[0].Board.WorkingTime
if not WorkingTimeExtensions.IsWorkingDate(calendar, time.Date, True):
return False
following = time.Date.AddDays(1)
while following.Month == time.Month:
if WorkingTimeExtensions.IsWorkingDate(calendar, following, True):
return False
following = following.AddDays(1)
month = DateTime(time.Year, time.Month, 1)
y = []
for i in range(self.RegressionMonths - 1, -1, -1):
available = [v for v in self._yields if v[0] == month.AddMonths(-i) and v[1] <= as_of]
if not available:
return False
y.append(max(available, key=lambda v: v[1])[2])
mean_x = Decimal(self.RegressionMonths - 1) / Decimal(2)
mean_y = sum(y, Decimal(0)) / Decimal(len(y))
variance = sum(((Decimal(i) - mean_x) * (Decimal(i) - mean_x) for i in range(len(y))), Decimal(0))
slope = sum(((Decimal(i) - mean_x) * (v - mean_y) for i, v in enumerate(y)), Decimal(0)) / variance
prediction = mean_y + slope * (Decimal(self.RegressionMonths) - mean_x)
if prediction == 0:
return False
equity = prediction > 0
if self._equity_regime == equity:
return True
self._equity_regime = equity
security = self._securities[0] if equity else self._securities[1] if len(self._securities) > 1 else None
self._begin_rotation({security: self._units(security, self._budget())} if security is not None else {})
return True
def CreateClone(self):
return fed_model_strategy()