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Spearman Rank Correlation Histogram 周期交易窗口策略
概览
本策略在 StockSharp 高级 API 上复现 MetaTrader 专家顾问 Exp_SpearmanRankCorrelation_Histogram_TimeWeekPeriod。策略订阅单一周期的 K 线(默认 4 小时)并重算原始指标中的 Spearman 排名相关系数直方图。直方图的颜色代表短期趋势的多空倾向(大于零为多头,小于零为空头),同时借助一个可配置的周内时间窗口还原 MQL 中的 TimeTrade 逻辑。
交易规则
指标计算
- 每根收盘 K 线都会记录收盘价并使用
RangeLength 个收盘价计算 Spearman 排名相关系数。
- 颜色映射与指标完全一致:相关值大于
HighLevel 标记为 4,介于 0 与 HighLevel 之间为 3,介于 LowLevel 与 0 之间为 1,小于 LowLevel 为 0,恰好为零时记为 2。
- 信号来自编号为
SignalBar 的已完成 K 线(默认上一根),并结合更早一根的颜色判断趋势切换。
交易模式 (TradeMode)
- Mode1:颜色上穿
2(且前值 < 3)开多;颜色下穿 2(且前值 > 1)开空。多头颜色同时触发空单平仓,空头颜色触发多单平仓。
- Mode2:颜色等于
4(且前值 < 4)开多;颜色等于 0(且前值 > 0)开空。颜色 > 2 平空,颜色 < 2 平多。
- Mode3:颜色
4 同时平空并开多;颜色 0 同时平多并开空。
- 成功建仓后会设置与 K 线长度相同的冷却时间,下一笔同向交易要等到下一根 K 线在 MetaTrader 中闭合。
资金管理与下单量
MoneyManagement 配合 MarginMode 将账户资金或风险比例转换为下单量。参数为正时复现原脚本的资金管理;为零时回退到策略的 Volume;为负值时视为固定手数。
- 风险模式(
LossFreeMargin, LossBalance)必须提供正的 StopLossPoints。当止损为零时,逻辑回退到 Volume,与原 EA 拒绝下单的行为一致。
风控管理
StopLossPoints 与 TakeProfitPoints 通过 Security.PriceStep 转换成价格。每根收盘 K 线都会使用最高价/最低价检查是否触发止损或止盈,触发后立即平掉全部仓位。
DeviationPoints 仅用于界面显示,StockSharp 的市价单不会使用该值。
周内交易窗口
TimeTrade 为真时,系统时间必须位于 (StartDay, StartHour, StartMinute, StartSecond) 与 (EndDay, EndHour, EndMinute, EndSecond) 之间;否则会立即强制平仓,完全对应原策略的保护逻辑。
- 默认假设
StartDay 不晚于 EndDay。若需要跨周的时间段,请手动调整参数。
其他说明
- 至少需要
RangeLength + SignalBar + 1 根完成的 K 线,策略才能生成交易信号。
Direction 为原指标保留的参数,在本移植中不参与计算。
参数
| 参数 |
说明 |
默认值 |
MoneyManagement |
资金管理系数或固定手数。 |
0.1 |
MarginMode |
资金管理模式(FreeMargin, Balance, LossFreeMargin, LossBalance, Lot)。 |
Lot |
StopLossPoints |
止损距离(价格点)。 |
1000 |
TakeProfitPoints |
止盈距离(价格点)。 |
2000 |
DeviationPoints |
允许的滑点(仅展示)。 |
10 |
BuyOpen / SellOpen |
是否允许开多/开空。 |
true |
BuyClose / SellClose |
是否允许按信号平多/平空。 |
true |
TradeMode |
颜色信号模式(Mode1, Mode2, Mode3)。 |
Mode1 |
TimeTrade |
是否启用周内交易窗口。 |
true |
StartDay, StartHour, StartMinute, StartSecond |
交易窗口开始的星期与时间。 |
星期二, 8, 0, 0 |
EndDay, EndHour, EndMinute, EndSecond |
交易窗口结束的星期与时间。 |
星期五, 20, 59, 40 |
CandleType |
处理的 K 线周期。 |
H4 |
RangeLength |
参与 Spearman 计算的收盘价数量。 |
14 |
MaxRange |
RangeLength 的上限,用于安全限制。 |
30 |
Direction |
指标保留参数,对策略无影响。 |
true |
HighLevel, LowLevel |
直方图上/下阈值。 |
0.5, -0.5 |
SignalBar |
读取信号的已收盘 K 线编号。 |
1 |
其余设置(组合、标的、基础 Volume、风险参数等)按照标准的 StockSharp 工作流程配置即可。
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class SpearmanRankCorrelationHistogramTimeWeekPeriodStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int StopLossPoints { get => _stopLossPoints.Value; set => _stopLossPoints.Value = value; }
public int TakeProfitPoints { get => _takeProfitPoints.Value; set => _takeProfitPoints.Value = value; }
public SpearmanRankCorrelationHistogramTimeWeekPeriodStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 14).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 50).SetGreaterThanZero().SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200).SetNotNegative().SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400).SetNotNegative().SetDisplay("Take Profit", "Take-profit in price steps", "Risk");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnReseted()
{
base.OnReseted();
_fast = null; _slow = null;
_prevFast = 0; _prevSlow = 0; _entryPrice = 0; _cooldown = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new ExponentialMovingAverage { Length = FastPeriod };
_slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.Bind(_fast, _slow, ProcessCandle);
subscription.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_fast.IsFormed || !_slow.IsFormed) { _prevFast = fastValue; _prevSlow = slowValue; return; }
if (_cooldown > 0) { _cooldown--; _prevFast = fastValue; _prevSlow = slowValue; return; }
var close = candle.ClosePrice;
var step = Security?.PriceStep ?? 1m;
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{ if (Position < 0) BuyMarket(); BuyMarket(); _entryPrice = close; _cooldown = 100; }
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{ if (Position > 0) SellMarket(); SellMarket(); _entryPrice = close; _cooldown = 100; }
_prevFast = fastValue; _prevSlow = slowValue;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class spearman_rank_correlation_histogram_time_week_period_strategy(Strategy):
def __init__(self):
super(spearman_rank_correlation_histogram_time_week_period_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 14) \
.SetDisplay("Fast Period", "Fast MA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 50) \
.SetDisplay("Slow Period", "Slow MA period", "Indicator")
self._stop_loss_points = self.Param("StopLossPoints", 200) \
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400) \
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def stop_loss_points(self):
return self._stop_loss_points.Value
@property
def take_profit_points(self):
return self._take_profit_points.Value
def OnReseted(self):
super(spearman_rank_correlation_histogram_time_week_period_strategy, self).OnReseted()
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(spearman_rank_correlation_histogram_time_week_period_strategy, self).OnStarted2(time)
self._fast = ExponentialMovingAverage()
self._fast.Length = self.fast_period
self._slow = ExponentialMovingAverage()
self._slow.Length = self.slow_period
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.Bind(self._fast, self._slow, self._process_candle)
subscription.Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if not self._fast.IsFormed or not self._slow.IsFormed:
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
close = float(candle.ClosePrice)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close <= self._entry_price - self.stop_loss_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close >= self._entry_price + self.take_profit_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
elif self.Position < 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close >= self._entry_price + self.stop_loss_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close <= self._entry_price - self.take_profit_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 100
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return spearman_rank_correlation_histogram_time_week_period_strategy()