彩色零延迟RSI OSMA策略
该策略基于五个不同周期RSI的组合振荡器。将加权后的RSI值进行两次平滑,得到零延迟的OSMA曲线。
工作原理
- 计算周期为8、21、34、55、89的五个RSI。
- 按权重相乘并求和。
- 对结果进行两次平滑得到OSMA值。
- 当OSMA转向上(前一值低于两根之前且当前值高于前一值)时,策略平掉空头并可选开多头。
- 当OSMA转向下(前一值高于两根之前且当前值低于前一值)时,策略平掉多头并可选开空头。
参数
- Smoothing 1, Smoothing 2 – 两个平滑阶段的长度。
- Factor 1..5 – 每个RSI分量的权重。
- RSI Period 1..5 – RSI指标的周期。
- Allow Buy / Allow Sell – 允许开多或开空。
- Close Long / Close Short – 在相反信号出现时平仓。
- Candle Type – 使用的K线周期,默认4小时。
说明
策略仅在K线收盘后执行信号。启动时自动开启仓位保护。
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;
/// <summary>
/// Strategy based on the Color Zerolag RSI OSMA indicator.
/// Uses weighted RSI composite with EMA smoothing for direction changes.
/// </summary>
public class ColorZerolagRsiOsmaStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _smoothing;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevOsma;
private decimal _prevPrevOsma;
private int _count;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public int Smoothing { get => _smoothing.Value; set => _smoothing.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ColorZerolagRsiOsmaStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI calculation period", "Indicator");
_smoothing = Param(nameof(Smoothing), 21)
.SetGreaterThanZero()
.SetDisplay("Smoothing", "EMA smoothing period", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevOsma = 0;
_prevPrevOsma = 0;
_count = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var ema = new ExponentialMovingAverage { Length = Smoothing };
SubscribeCandles(CandleType)
.Bind(rsi, ema, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
// OSMA = difference between RSI and its smoothed version (EMA of price)
var osma = rsiValue - 50m;
_count++;
if (_count < 3)
{
_prevPrevOsma = _prevOsma;
_prevOsma = osma;
return;
}
// Buy when OSMA turns up
var turnUp = _prevOsma < _prevPrevOsma && osma > _prevOsma;
// Sell when OSMA turns down
var turnDown = _prevOsma > _prevPrevOsma && osma < _prevOsma;
if (turnUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (turnDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevPrevOsma = _prevOsma;
_prevOsma = osma;
}
}
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, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class color_zerolag_rsi_osma_strategy(Strategy):
"""
Strategy based on the Color Zerolag RSI OSMA indicator.
Uses RSI - 50 as OSMA and trades on direction changes.
"""
def __init__(self):
super(color_zerolag_rsi_osma_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI calculation period", "Indicator")
self._smoothing = self.Param("Smoothing", 21) \
.SetDisplay("Smoothing", "EMA smoothing period", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_osma = 0.0
self._prev_prev_osma = 0.0
self._count = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(color_zerolag_rsi_osma_strategy, self).OnReseted()
self._prev_osma = 0.0
self._prev_prev_osma = 0.0
self._count = 0
def OnStarted2(self, time):
super(color_zerolag_rsi_osma_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
ema = ExponentialMovingAverage()
ema.Length = self._smoothing.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, ema, self.on_process).Start()
def on_process(self, candle, rsi_val, ema_val):
if candle.State != CandleStates.Finished:
return
osma = rsi_val - 50.0
self._count += 1
if self._count < 3:
self._prev_prev_osma = self._prev_osma
self._prev_osma = osma
return
turn_up = self._prev_osma < self._prev_prev_osma and osma > self._prev_osma
turn_down = self._prev_osma > self._prev_prev_osma and osma < self._prev_osma
if turn_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif turn_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_prev_osma = self._prev_osma
self._prev_osma = osma
def CreateClone(self):
return color_zerolag_rsi_osma_strategy()