FX Carry Trade
交易规则
每月 carry = 实测年 BaseRate − QuoteRate。做多最高 TopK 个差值、做空最低 TopK 个;至少需要 2×TopK 个有效货币对以避免重叠。两侧各占美元总预算的一半,侧内等额分配。使用明确观测的 UsdPerUnit 把美元敞口换为原生交易单位,支持报价货币不是美元的货币对。下次审核时平掉离组证券并调整继续持有的仓位。
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。
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
RatesFile 为必需 CSV:SecurityId,PublishedAt,BaseRate,QuoteRate,UsdPerUnit。PublishedAt 为 UTC yyyy-MM-ddTHH:mm:ssZ,利率使用相同的年化小数单位。UsdPerUnit 是每个原生交易单位的正美元价值。只采用最新发布且年龄不超过 MaxRateAgeDays 的记录,拒绝证券/发布时间重复项。禁止用蜡烛推算利率。
参数
| 参数 | 默认值 |
|---|---|
Universe |
必填 |
Capital |
100000 |
Leverage |
1 |
MinTradeUsd |
100 |
CandleType |
TimeSpan.FromDays(1).TimeFrame() |
TopK |
3 |
RatesFile |
必填 |
MaxRateAgeDays |
45 |
成交与仓位
Capital 为固定美元预算,Leverage 控制总敞口。数量及 MinTradeUsd 采用 RatesFile.UsdPerUnit。按 VolumeStep 向零取整,依据真实成交协调并等待未完成订单,遵守 MinVolume/MaxVolume,大额调整分散到后续蜡烛。完整平仓不受 MinTradeUsd 限制。无止损或止盈。
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 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()