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Exp RSIOMA V2 策略
概述
Exp RSIOMA V2 策略基于 MetaTrader 5 平台的同名专家顾问,将其迁移到 StockSharp 高级 API。策略依旧围绕 RSIOMA(移动平均的 RSI)指标运行:先对价格进行平滑处理,再计算动量,随后构建 RSI 式的加权平均,以监测指标进入或离开关键区域时的交易机会。
交易逻辑
- 价格预处理:从 K 线中选取
AppliedPrice 指定的价格(默认收盘价),并使用四种可选移动平均之一(简单、指数、平滑或加权)进行平滑。
- 动量计算:将平滑后的价格与
MomentumPeriod 根 K 线之前的值相减,得到当前动量。
- RSIOMA 计算:把正动量与负动量分别进行长度为
RsiomaLength 的指数平滑,构成 0 到 100 之间的 RSIOMA 数值。
- 信号判定:根据
Mode 设定检查最近的已完成 K 线:
- Breakdown:当 RSIOMA 离开主要趋势区 (
MainTrendLong / MainTrendShort) 时触发。指标从上方区间跌回通道时平掉空头并允许做多,反之亦然。
- Twist:寻找拐点。当 RSIOMA 的斜率由下降转为上升时买入,由上升转为下降时卖出。
- CloudTwist:模拟 MT5 指标中的彩云,当 RSIOMA 从超买 / 超卖区回到通道内时开仓,并同时关闭相反方向的持仓。
信号在 SignalBar 指定的已收 K 线上进行评估(默认上一根 K 线),确保只使用完全确认的数据。
参数
| 参数 |
说明 |
默认值 |
OrderVolume |
市价单使用的默认下单量。 |
1 |
CandleType |
策略订阅的 K 线类型。 |
4 小时 |
EnableLongEntries / EnableShortEntries |
是否允许开多 / 开空。 |
true |
EnableLongExits / EnableShortExits |
是否允许平多 / 平空。 |
true |
Mode |
交易模式(Breakdown、Twist 或 CloudTwist)。 |
Breakdown |
PriceSmoothing |
在计算 RSIOMA 前对价格使用的移动平均方式。 |
Exponential |
RsiomaLength |
RSIOMA 平滑周期。 |
14 |
MomentumPeriod |
动量计算时的滞后周期。 |
1 |
AppliedPrice |
指标使用的价格(收盘、开盘、中值、DeMark 等)。 |
Close |
MainTrendLong / MainTrendShort |
定义超买 / 超卖区的 RSIOMA 阈值。 |
60 / 40 |
SignalBar |
用于评估信号的已收 K 线数量。 |
1 |
实现说明
- 目前仅支持 StockSharp 中现成的四种平滑方式(SMA、EMA、SMMA、WMA),原始版本中的 JJMA、VIDYA、AMA 等高级算法未纳入实现。
- RSI 初值会使用前
RsiomaLength 个动量值进行初始化,从而与 MT5 EA 保持一致,之后采用指数递推更新。
- 在发出反向信号前会先平掉现有仓位。可通过
EnableLongEntries / EnableShortEntries 与 EnableLongExits / EnableShortExits 控制允许的方向。
SignalBar = 0 可用于响应当前已完成的 K 线,更大的数值则对应等待更多根 K 线确认的逻辑。
使用步骤
- 将策略添加到 StockSharp 项目中,并指定交易品种。
- 通过
CandleType 设置 K 线周期(默认 4 小时),并根据品种波动性调整阈值参数。
- 根据需求选择交易模式:突破型(Breakdown)、拐点型(Twist)或云颜色切换型(CloudTwist)。
- 启动策略后,会自动订阅所选 K 线,计算 RSIOMA 指标,并在条件满足时发送市价单。
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// RSIOMA strategy using RSI with overbought/oversold levels.
/// Buys when RSI crosses above oversold, sells when crosses below overbought.
/// </summary>
public class ExpRsiomaV2Strategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _overbought;
private readonly StrategyParam<decimal> _oversold;
private decimal? _prevRsi;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
public decimal Overbought
{
get => _overbought.Value;
set => _overbought.Value = value;
}
public decimal Oversold
{
get => _oversold.Value;
set => _oversold.Value = value;
}
public ExpRsiomaV2Strategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Timeframe", "General");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI calculation period", "Indicators");
_overbought = Param(nameof(Overbought), 65m)
.SetDisplay("Overbought", "Overbought RSI level", "Levels");
_oversold = Param(nameof(Oversold), 35m)
.SetDisplay("Oversold", "Oversold RSI level", "Levels");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = null;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevRsi = null;
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
var indArea = CreateChartArea();
if (indArea != null)
{
DrawIndicator(indArea, rsi);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevRsi = rsiValue;
return;
}
if (_prevRsi == null)
{
_prevRsi = rsiValue;
return;
}
// RSI crosses above oversold → buy signal
if (_prevRsi.Value <= Oversold && rsiValue > Oversold && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
// RSI crosses below overbought → sell signal
else if (_prevRsi.Value >= Overbought && rsiValue < Overbought && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
}
_prevRsi = rsiValue;
}
}
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 RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class exp_rsioma_v2_strategy(Strategy):
def __init__(self):
super(exp_rsioma_v2_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Timeframe", "General")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI calculation period", "Indicators")
self._overbought = self.Param("Overbought", 65.0) \
.SetDisplay("Overbought", "Overbought RSI level", "Levels")
self._oversold = self.Param("Oversold", 35.0) \
.SetDisplay("Oversold", "Oversold RSI level", "Levels")
self._prev_rsi = None
@property
def CandleType(self):
return self._candle_type.Value
@property
def RsiPeriod(self):
return self._rsi_period.Value
@property
def Overbought(self):
return self._overbought.Value
@property
def Oversold(self):
return self._oversold.Value
def OnReseted(self):
super(exp_rsioma_v2_strategy, self).OnReseted()
self._prev_rsi = None
def OnStarted2(self, time):
super(exp_rsioma_v2_strategy, self).OnStarted2(time)
self._prev_rsi = None
rsi = RelativeStrengthIndex()
rsi.Length = self.RsiPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(rsi, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
ind_area = self.CreateChartArea()
if ind_area is not None:
self.DrawIndicator(ind_area, rsi)
def _on_process(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
rv = float(rsi_value)
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_rsi = rv
return
if self._prev_rsi is None:
self._prev_rsi = rv
return
ob = float(self.Overbought)
os_level = float(self.Oversold)
# RSI crosses above oversold
if self._prev_rsi <= os_level and rv > os_level and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
# RSI crosses below overbought
elif self._prev_rsi >= ob and rv < ob and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_rsi = rv
def CreateClone(self):
return exp_rsioma_v2_strategy()