FX Carry Trade
Handelsregeln
Monatliche Carry = beobachteter jährlicher BaseRate − QuoteRate. Die TopK höchsten Differenzen kaufen und TopK niedrigsten leerverkaufen; mindestens 2×TopK geeignete Paare verhindern Überschneidungen. Jede Seite erhält die Hälfte des USD-Bruttobudgets zu gleichen Teilen. Mit dem ausdrücklich beobachteten UsdPerUnit in native Paareinheiten umrechnen, auch wenn die Kurswährung nicht USD ist. Ausgeschiedene Titel schließen und verbleibende Bestände beim nächsten Termin abgleichen.
Nur abgeschlossene Kerzen mit gleichem Zeitstempel werden gemeinsam ausgewertet. Statistiken zählen verschiedene UTC-Daten; weitere Intraday-Kerzen ersetzen den Tageswert. Die erste geeignete gemeinsame Kerze jedes Monats löst genau eine Umschichtung aus. Unvollständige Daten verschieben sie. Gleiche Werte werden nach Security.Id sortiert.
Alle Beobachtungen müssen bis zum Schluss der Signalkerze veröffentlicht sein. Intraday zählen nur Tageskurse vor dem aktuellen UTC-Datum; eine abgeschlossene Tageskerze zählt ihr eigenes Datum. Zukünftige CSV-Daten dürfen keine Entscheidung vorwärmen.
Die Veröffentlichungsgrenze ist die späteste tatsächliche CloseTime der synchronisierten abgeschlossenen Kerzen. Eine Handelssitzung kann vor Ablauf des eingestellten Kerzenintervalls enden.
Eingabedaten
RatesFile ist eine erforderliche CSV: SecurityId,PublishedAt,BaseRate,QuoteRate,UsdPerUnit. PublishedAt: UTC yyyy-MM-ddTHH:mm:ssZ; beide Zinssätze in gleichen jährlichen Dezimaleinheiten. UsdPerUnit ist der positive USD-Wert einer nativen Handelseinheit. Nur der jüngste veröffentlichte Stand bis MaxRateAgeDays ist gültig. Doppelte Titel/Publikationszeit-Paare werden abgelehnt. Zinssätze werden nicht aus Kerzen erzeugt.
Parameter
| Parameter | Standard |
|---|---|
Universe |
erforderlich |
Capital |
100000 |
Leverage |
1 |
MinTradeUsd |
100 |
CandleType |
TimeSpan.FromDays(1).TimeFrame() |
TopK |
3 |
RatesFile |
erforderlich |
MaxRateAgeDays |
45 |
Ausführung
Capital ist ein festes USD-Budget; Leverage steuert die Bruttoexposition. RatesFile.UsdPerUnit für Mengen und MinTradeUsd verwenden. Zu null auf VolumeStep runden, tatsächliche Ausführungen abgleichen und offene Orders abwarten. MinVolume/MaxVolume beachten und große Anpassungen auf spätere Kerzen verteilen. Vollständige Schließung umgeht MinTradeUsd. Keine Stop-Loss- oder Gewinnmitnahmeorders.
Prüfung
Beide Sprachen werden mit gebündelten BTC/TON-Ausführungsdaten sowie expliziten Zins-, Finanz-, Bewertungs-, Text- und Aufwärmfixtures geprüft. Kalenderfixtures verschieben Archiv-OHLC/Volumina und setzen Ausführungskurse; dies ist keine mehrjährige Markthistorie. Unabhängige Formeln, Orderrichtung/-menge, echte Ausführungen, Restpositionen und gesperrte Termine werden geprüft. Zwei Gruppen, K=1 und AssetDecile=1 sind deklarierte Mechanikprofile, kein Nachweis für ein vollständiges Handelsuniversum. Keine Renditezusage.
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>FX Carry Trade with point-in-time inputs and execution-based portfolio accounting.</summary>
public class FXCarryTradeStrategy : 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> _topK;
private readonly StrategyParam<string> _ratesFile;
private readonly StrategyParam<int> _maxRateAgeDays;
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 sealed record Rate(Security Security, DateTime Published, decimal BaseRate, decimal QuoteRate, decimal UsdPerUnit);
private readonly List<Rate> _rates = [];
private readonly Dictionary<Security, decimal> _usdPrices = [];
/// <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>Gross target exposure divided by the capital budget.</summary>
public decimal Leverage { get => _leverage.Value; set => _leverage.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>Currency pairs in each carry basket.</summary>
public int TopK { get => _topK.Value; set => _topK.Value = value; }
/// <summary>Required point-in-time base and quote interest rates and USD unit values.</summary>
public string RatesFile { get => _ratesFile.Value; set => _ratesFile.Value = value; }
/// <summary>Maximum age of the published rate snapshot in calendar days.</summary>
public int MaxRateAgeDays { get => _maxRateAgeDays.Value; set => _maxRateAgeDays.Value = value; }
/// <summary>Initialize the strategy parameters.</summary>
public FXCarryTradeStrategy()
{
_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");
_leverage = Param(nameof(Leverage), 1m).SetGreaterThanZero()
.SetDisplay("Leverage", "Gross target exposure divided by the capital budget", "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");
_topK = Param(nameof(TopK), 3).SetRange(1, int.MaxValue)
.SetDisplay("TopK", "Currency pairs in each carry basket", "Parameters");
_ratesFile = Param<string>(nameof(RatesFile)).SetRequired()
.SetDisplay("RatesFile", "Required point-in-time base and quote interest rates and USD unit values", "Parameters");
_maxRateAgeDays = Param(nameof(MaxRateAgeDays), 45).SetRange(1, int.MaxValue)
.SetDisplay("MaxRateAgeDays", "Maximum age of the published rate snapshot in calendar days", "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();
_targets.Clear();
_pending.Clear();
_lastRebalance = 0;
_lastBar = null;
_rates.Clear();
_usdPrices.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 _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.");
}
LoadRates();
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) => _usdPrices[security];
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 = "0374Rebalance",
};
_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 LoadRates()
{
var keys = new HashSet<(Security, DateTime)>();
foreach (var row in ReadRows(RatesFile, "SecurityId,PublishedAt,BaseRate,QuoteRate,UsdPerUnit", 5))
{
var security = _securities.SingleOrDefault(s => string.Equals(s.Id, row[0].Trim(), StringComparison.OrdinalIgnoreCase));
if (security is null) continue;
var published = ParseUtc(row[1]);
var baseRate = decimal.Parse(row[2], CultureInfo.InvariantCulture);
var quoteRate = decimal.Parse(row[3], CultureInfo.InvariantCulture);
var usd = decimal.Parse(row[4], CultureInfo.InvariantCulture);
if (usd <= 0m || !keys.Add((security, published)))
throw new InvalidOperationException("Rate snapshots need positive USD unit values and unique publication timestamps.");
_rates.Add(new(security, published, baseRate, quoteRate, usd));
}
}
private bool SelectTargets(DateTime time, DateTime asOf)
{
var ranked = _securities.Select(s => _rates.Where(r => r.Security == s && r.Published <= asOf)
.OrderByDescending(r => r.Published).FirstOrDefault())
.Where(r => r is not null && (asOf - r.Published).TotalDays <= MaxRateAgeDays)
.OrderBy(r => r.BaseRate - r.QuoteRate)
.ThenBy(r => r.Security.Id, StringComparer.Ordinal).ToArray();
if (ranked.Length < 2 * TopK) return false;
foreach (var rate in ranked) _usdPrices[rate.Security] = rate.UsdPerUnit;
foreach (var security in _securities) _targets[security] = 0m;
SetBasketTargets(ranked.TakeLast(TopK).Select(r => r.Security), ranked.Take(TopK).Select(r => r.Security), 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 fx_carry_trade_strategy(Strategy):
"""FX Carry Trade with point-in-time inputs and execution-based portfolio accounting."""
def __init__(self):
super(fx_carry_trade_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._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(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._top_k = self.Param("TopK", 3).SetRange(1, 2147483647) \
.SetDisplay("TopK", "Currency pairs in each carry basket", "Parameters")
self._rates_file = self.Param[str]("RatesFile", None).SetRequired() \
.SetDisplay("RatesFile", "Required point-in-time base and quote interest rates and USD unit values", "Parameters")
self._max_rate_age_days = self.Param("MaxRateAgeDays", 45).SetRange(1, 2147483647) \
.SetDisplay("MaxRateAgeDays", "Maximum age of the published rate snapshot in calendar days", "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._rates = []
self._usd_prices = {}
@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 TopK(self):
return self._top_k.Value
@TopK.setter
def TopK(self, value):
self._top_k.Value = value
@property
def RatesFile(self):
return self._rates_file.Value
@RatesFile.setter
def RatesFile(self, value):
self._rates_file.Value = value
@property
def MaxRateAgeDays(self):
return self._max_rate_age_days.Value
@MaxRateAgeDays.setter
def MaxRateAgeDays(self, value):
self._max_rate_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(fx_carry_trade_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_rates()
super(fx_carry_trade_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 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 self.Capital * self.Leverage
def _unit_price(self, security):
return self._usd_prices[security]
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 = "0374Rebalance"
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_rates(self):
keys = set()
for row in self._read_rows(self.RatesFile, "SecurityId,PublishedAt,BaseRate,QuoteRate,UsdPerUnit", 5):
security = next((s for s in self._securities if s.Id.upper() == row[0].strip().upper()), None)
if security is None:
continue
published = self._parse_utc(row[1])
base_rate, quote_rate, usd = [Decimal.Parse(x, CultureInfo.InvariantCulture) for x in row[2:5]]
if usd <= 0 or (security, published) in keys:
raise InvalidOperationException("Rate snapshots need positive USD unit values and unique publication timestamps.")
keys.add((security, published))
self._rates.append((security, published, base_rate, quote_rate, usd))
def _select_targets(self, time, as_of):
ranked = []
for security in self._securities:
available = [r for r in self._rates if r[0] == security and r[1] <= as_of]
rate = max(available, key=lambda r: r[1]) if available else None
if rate is not None and (as_of - rate[1]).TotalDays <= self.MaxRateAgeDays:
ranked.append(rate)
ranked.sort(key=lambda r: (r[2] - r[3], r[0].Id))
if len(ranked) < 2 * self.TopK:
return False
for rate in ranked:
self._usd_prices[rate[0]] = rate[4]
self._targets = {s: Decimal(0) for s in self._securities}
self._set_basket_targets([r[0] for r in ranked[-self.TopK:]], [r[0] for r in ranked[:self.TopK]], 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 fx_carry_trade_strategy()