RAVI Histogram 策略
该策略将 MetaTrader 的 RAVI Histogram 专家移植到 StockSharp。RAVI 指标通过比较快 EMA 与慢 EMA 的百分比差异来衡量趋势强度,并与上下阈值比较以决定交易。
当 RAVI 高于上限时,被视为多头趋势:若允许,将平掉空头并开多。当 RAVI 低于下限时,策略关闭多头并可开空。默认使用四小时 K 线。
细节
- 入场条件:
- 多头:RAVI 向上突破
UpLevel。 - 空头:RAVI 向下跌破
DownLevel。
- 多头:RAVI 向上突破
- 方向:可做多也可做空。
- 出场条件:
- RAVI 产生相反信号时平仓。
- 止损:无。
- 过滤器:无。
- 时间框架:默认 4 小时。
- 参数:
FastLength与SlowLength— 用于计算 RAVI 的 EMA 周期。UpLevel与DownLevel— 定义趋势区域的阈值。BuyOpen、SellOpen、BuyClose、SellClose— 各方向操作的开关。
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>
/// RAVI Histogram trend strategy based on fast and slow EMA difference.
/// </summary>
public class RaviHistogramStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<decimal> _upLevel;
private readonly StrategyParam<decimal> _downLevel;
private readonly StrategyParam<bool> _buyOpen;
private readonly StrategyParam<bool> _sellOpen;
private readonly StrategyParam<bool> _buyClose;
private readonly StrategyParam<bool> _sellClose;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRavi;
private bool _isFirst = true;
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public decimal UpLevel { get => _upLevel.Value; set => _upLevel.Value = value; }
public decimal DownLevel { get => _downLevel.Value; set => _downLevel.Value = value; }
public bool BuyOpen { get => _buyOpen.Value; set => _buyOpen.Value = value; }
public bool SellOpen { get => _sellOpen.Value; set => _sellOpen.Value = value; }
public bool BuyClose { get => _buyClose.Value; set => _buyClose.Value = value; }
public bool SellClose { get => _sellClose.Value; set => _sellClose.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public RaviHistogramStrategy()
{
_fastLength = Param(nameof(FastLength), 7)
.SetGreaterThanZero()
.SetDisplay("Fast Length", "Fast EMA length", "General");
_slowLength = Param(nameof(SlowLength), 65)
.SetGreaterThanZero()
.SetDisplay("Slow Length", "Slow EMA length", "General");
_upLevel = Param(nameof(UpLevel), 0.1m)
.SetDisplay("Upper Level", "Upper threshold for trend", "General");
_downLevel = Param(nameof(DownLevel), -0.1m)
.SetDisplay("Lower Level", "Lower threshold for trend", "General");
_buyOpen = Param(nameof(BuyOpen), true)
.SetDisplay("Open Long", "Allow opening long positions", "Trading");
_sellOpen = Param(nameof(SellOpen), true)
.SetDisplay("Open Short", "Allow opening short positions", "Trading");
_buyClose = Param(nameof(BuyClose), true)
.SetDisplay("Close Long", "Allow closing long positions", "Trading");
_sellClose = Param(nameof(SellClose), true)
.SetDisplay("Close Short", "Allow closing short positions", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_prevRavi = 0;
_isFirst = true;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_isFirst = true;
_prevRavi = 0;
var fast = new ExponentialMovingAverage { Length = FastLength };
var slow = new ExponentialMovingAverage { Length = SlowLength };
// Subscribe to candle data and bind indicators.
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fast, slow, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fast);
DrawIndicator(area, slow);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished || slow == 0)
return;
// Calculate RAVI value from EMA difference.
var ravi = 100m * (fast - slow) / slow;
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevRavi = ravi;
_isFirst = false;
return;
}
if (_isFirst)
{
_prevRavi = ravi;
_isFirst = false;
return;
}
// Handle signals when RAVI crosses thresholds.
if (ravi > UpLevel)
{
if (SellClose && Position < 0)
BuyMarket();
if (BuyOpen && _prevRavi <= UpLevel && Position <= 0)
BuyMarket();
}
else if (ravi < DownLevel)
{
if (BuyClose && Position > 0)
SellMarket();
if (SellOpen && _prevRavi >= DownLevel && Position >= 0)
SellMarket();
}
_prevRavi = ravi;
}
}
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 ravi_histogram_strategy(Strategy):
def __init__(self):
super(ravi_histogram_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 7) \
.SetDisplay("Fast Length", "Fast EMA length", "General")
self._slow_length = self.Param("SlowLength", 65) \
.SetDisplay("Slow Length", "Slow EMA length", "General")
self._up_level = self.Param("UpLevel", 0.1) \
.SetDisplay("Upper Level", "Upper threshold for trend", "General")
self._down_level = self.Param("DownLevel", -0.1) \
.SetDisplay("Lower Level", "Lower threshold for trend", "General")
self._buy_open = self.Param("BuyOpen", True) \
.SetDisplay("Open Long", "Allow opening long positions", "Trading")
self._sell_open = self.Param("SellOpen", True) \
.SetDisplay("Open Short", "Allow opening short positions", "Trading")
self._buy_close = self.Param("BuyClose", True) \
.SetDisplay("Close Long", "Allow closing long positions", "Trading")
self._sell_close = self.Param("SellClose", True) \
.SetDisplay("Close Short", "Allow closing short positions", "Trading")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_ravi = 0.0
self._is_first = True
@property
def fast_length(self):
return self._fast_length.Value
@property
def slow_length(self):
return self._slow_length.Value
@property
def up_level(self):
return self._up_level.Value
@property
def down_level(self):
return self._down_level.Value
@property
def buy_open(self):
return self._buy_open.Value
@property
def sell_open(self):
return self._sell_open.Value
@property
def buy_close(self):
return self._buy_close.Value
@property
def sell_close(self):
return self._sell_close.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ravi_histogram_strategy, self).OnReseted()
self._prev_ravi = 0.0
self._is_first = True
def OnStarted2(self, time):
super(ravi_histogram_strategy, self).OnStarted2(time)
self._is_first = True
self._prev_ravi = 0.0
fast = ExponentialMovingAverage()
fast.Length = self.fast_length
slow = ExponentialMovingAverage()
slow.Length = self.slow_length
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
def process_candle(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
fast = float(fast)
slow = float(slow)
if slow == 0:
return
ravi = 100.0 * (fast - slow) / slow
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_ravi = ravi
self._is_first = False
return
if self._is_first:
self._prev_ravi = ravi
self._is_first = False
return
up_level = float(self.up_level)
down_level = float(self.down_level)
if ravi > up_level:
if self.sell_close and self.Position < 0:
self.BuyMarket()
if self.buy_open and self._prev_ravi <= up_level and self.Position <= 0:
self.BuyMarket()
elif ravi < down_level:
if self.buy_close and self.Position > 0:
self.SellMarket()
if self.sell_open and self._prev_ravi >= down_level and self.Position >= 0:
self.SellMarket()
self._prev_ravi = ravi
def CreateClone(self):
return ravi_histogram_strategy()