SR Rate Indicator 策略
概述
本策略是 MetaTrader 5 专家顾问 Exp_SR-RateIndicator 的 C# 复刻版本。它在 StockSharp 高级 API 中重新实现了原始的交易逻辑,并内置了 SR Rate 振荡指标。该指标通过对加权收盘价进行高斯平滑,衡量价格在平滑支撑/阻力通道中的位置,并给出五种颜色信号以识别极端区域。
策略基于可配置周期的已完成 K 线工作。当振荡指标的颜色跳转到看涨或看跌极端值时,算法会平掉反向仓位,并在允许的情况下按照信号方向开仓。止损与止盈距离使用与原始 EA 相同的点数,并自动换算为绝对价格。
SR Rate 振荡指标
指标使用一个窗口期对价格进行归一化处理:
- 对每根 K 线的最高价、最低价和加权收盘价应用长度为 6 的单边高斯权重进行平滑。
- 取窗口内平滑最高价的最大值和平滑最低价的最小值,形成动态通道。
- 将当前平滑后的加权收盘价按上述通道归一化到
[-100, 100]区间。 - 最终数值对应五个颜色状态:
0(强烈看跌)、1(弱看跌)、2(中性)、3(弱看涨)、4(强烈看涨)。
当颜色为 4 时,意味着价格触及通道上沿;当颜色为 0 时,意味着价格靠近通道下沿。
交易规则
- 订阅所选周期的 K 线,并在每根完成的 K 线上计算 SR Rate 振荡指标。
- 使用
SignalBar参数将信号判定延迟若干根已完成 K 线(默认延迟 1 根),与原始 EA 的行为保持一致。 - 当延迟后的颜色变为
4且前一根颜色小于4时:- 如果允许,先平掉所有空头仓位。
- 若允许做多并且当前没有仓位,则开多单。
- 当延迟后的颜色变为
0且前一根颜色大于0时:- 如果允许,先平掉所有多头仓位。
- 若允许做空并且当前没有仓位,则开空单。
- 策略任何时刻仅持有一个方向的仓位,直到平仓信号出现。
- 止损和止盈以点数输入,并自动乘以品种的最小报价步长。
参数
| 名称 | 说明 |
|---|---|
OrderVolume |
每次下单使用的交易量。 |
EnableLongEntries |
是否允许开多单。 |
EnableShortEntries |
是否允许开空单。 |
EnableLongExits |
当出现强烈看跌颜色时是否平掉多头。 |
EnableShortExits |
当出现强烈看涨颜色时是否平掉空头。 |
StopLossPoints |
止损距离(点数,将转换为绝对价格)。 |
TakeProfitPoints |
止盈距离(点数,将转换为绝对价格)。 |
SlippagePoints |
平仓时可接受的最大滑点,保留以兼容原始 EA,高级 API 不会主动控制滑点。 |
CandleType |
用于计算指标的 K 线类型与周期。 |
SignalBar |
信号偏移的已完成 K 线数量(默认 1)。 |
WindowSize |
SR Rate 归一化窗口的长度。 |
HighLevel |
定义看涨极端区域的阈值(默认 +20)。 |
LowLevel |
定义看跌极端区域的阈值(默认 -20)。 |
说明
- 适用于提供标准 OHLC 数据的任意品种。
- 仅在 K 线收盘后处理信号,与 MetaTrader 原版的行为一致。
- 原始 EA 的滑点控制依赖于撮合设置,StockSharp 市价单遵循交易所规则,因此
SlippagePoints仅用于文档说明。 - 指标内部仅保存计算所需的最小历史数据,以避免无意义的内存占用。
- 按项目要求,本策略暂不提供 Python 版本。
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 SrRateIndicatorStrategy : 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 SrRateIndicatorStrategy()
{
_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 sr_rate_indicator_strategy(Strategy):
def __init__(self):
super(sr_rate_indicator_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(sr_rate_indicator_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(sr_rate_indicator_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 sr_rate_indicator_strategy()