Многослойная стратегия Saucer по Awesome Oscillator
Бычья стратегия, использующая паттерн "saucer" индикатора Awesome Oscillator и фракталы для определения тренда. Считает последовательные сигналы и размещает до пяти ступенчатых заявок Buy Stop выше цены. Позиция закрывается при смене тренда.
Параметры
- EMA Length – период EMA-фильтра.
- Candle Type – тип свечей.
- Trade Start – начало периода торговли.
- Trade Stop – конец периода торговли.
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class MultiLayerAwesomeOscillatorSaucerStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MultiLayerAwesomeOscillatorSaucerStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame());
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = 8 };
var slow = new ExponentialMovingAverage { Length = 21 };
var rsi = new RelativeStrengthIndex { Length = 14 };
var prevF = 0m; var prevS = 0m; var init = false;
var sub = SubscribeCandles(CandleType);
sub.Bind(fast, slow, rsi, (c, f, s, r) =>
{
if (c.State != CandleStates.Finished || !fast.IsFormed || !slow.IsFormed || !rsi.IsFormed) return;
if (!init) { prevF = f; prevS = s; init = true; return; }
if (prevF <= prevS && f > s && r > 45 && Position <= 0) BuyMarket();
else if (prevF >= prevS && f < s && r < 55 && Position > 0) SellMarket();
prevF = f; prevS = s;
}).Start();
var area = CreateChartArea();
if (area != null) { DrawCandles(area, sub); DrawIndicator(area, fast); DrawIndicator(area, slow); DrawOwnTrades(area); }
}
}
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, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class multi_layer_awesome_oscillator_saucer_strategy(Strategy):
"""
MultiLayer Awesome Oscillator Saucer: EMA crossover with RSI filter.
"""
def __init__(self):
super(multi_layer_awesome_oscillator_saucer_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(multi_layer_awesome_oscillator_saucer_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
def OnStarted2(self, time):
super(multi_layer_awesome_oscillator_saucer_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = 8
slow = ExponentialMovingAverage()
slow.Length = 21
rsi = RelativeStrengthIndex()
rsi.Length = 14
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, rsi, 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_val, slow_val, rsi_val):
if candle.State != CandleStates.Finished:
return
fast = float(fast_val)
slow = float(slow_val)
rsi = float(rsi_val)
if not self._initialized:
self._prev_fast = fast
self._prev_slow = slow
self._initialized = True
return
if self._prev_fast <= self._prev_slow and fast > slow and rsi > 45 and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fast < slow and rsi < 55 and self.Position > 0:
self.SellMarket()
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return multi_layer_awesome_oscillator_saucer_strategy()