Стратегия Zonal Trading
Стратегия использует осцилляторы Awesome (AO) и Accelerator (AC) для отслеживания изменений импульса рынка.
Логика
- Покупка, когда значения AO и AC растут, как минимум один из индикаторов меняет направление вверх, и оба индикатора положительны.
- Продажа, когда AO и AC падают, как минимум один из индикаторов меняет направление вниз, и оба индикатора отрицательны.
- Закрытие длинной позиции при одновременном развороте AO и AC вниз.
- Закрытие короткой позиции при одновременном развороте AO и AC вверх.
Параметры
- Candle Type – тип свечей, используемый в расчётах.
- Take Profit – фиксированное значение тейк-профита в ценовых единицах.
Стратегия открывает только одну позицию и использует рыночные ордера.
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>
/// Zonal Trading strategy based on Awesome and Accelerator oscillators.
/// </summary>
public class ZonalTradingStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private decimal _aoPrev1;
private decimal _aoPrev2;
private decimal _acPrev1;
private decimal _acPrev2;
private int _historyCount;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ZonalTradingStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_aoPrev1 = _aoPrev2 = _acPrev1 = _acPrev2 = 0m;
_historyCount = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_aoPrev1 = _aoPrev2 = _acPrev1 = _acPrev2 = 0m;
_historyCount = 0;
var ao = new AwesomeOscillator();
var aoEma = new ExponentialMovingAverage { Length = 5 };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ao, (candle, aoValue) =>
{
if (candle.State != CandleStates.Finished)
return;
// Calculate AC = AO - SMA(AO, 5)
var smaResult = aoEma.Process(aoValue, candle.OpenTime, true);
if (!aoEma.IsFormed)
{
_aoPrev2 = _aoPrev1;
_aoPrev1 = aoValue;
return;
}
var smaValue = smaResult.GetValue<decimal>();
var acValue = aoValue - smaValue;
if (_historyCount < 2)
{
_aoPrev2 = _aoPrev1;
_aoPrev1 = aoValue;
_acPrev2 = _acPrev1;
_acPrev1 = acValue;
_historyCount++;
return;
}
if (!IsFormedAndOnlineAndAllowTrading())
return;
var buySignal = aoValue > _aoPrev1 && acValue > _acPrev1 &&
(_acPrev1 < _acPrev2 || _aoPrev1 < _aoPrev2) &&
aoValue > 0 && acValue > 0;
var sellSignal = aoValue < _aoPrev1 && acValue < _acPrev1 &&
(_acPrev1 > _acPrev2 || _aoPrev1 > _aoPrev2) &&
aoValue < 0 && acValue < 0;
if (buySignal && Position <= 0)
BuyMarket();
if (sellSignal && Position >= 0)
SellMarket();
// Exit conditions
if (Position > 0 && aoValue < _aoPrev1 && acValue < _acPrev1)
SellMarket();
if (Position < 0 && aoValue > _aoPrev1 && acValue > _acPrev1)
BuyMarket();
_aoPrev2 = _aoPrev1;
_aoPrev1 = aoValue;
_acPrev2 = _acPrev1;
_acPrev1 = acValue;
})
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ao);
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 AwesomeOscillator, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class zonal_trading_strategy(Strategy):
def __init__(self):
super(zonal_trading_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._ao_prev1 = 0.0
self._ao_prev2 = 0.0
self._ac_prev1 = 0.0
self._ac_prev2 = 0.0
self._history_count = 0
self._ao_ema = None
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(zonal_trading_strategy, self).OnReseted()
self._ao_prev1 = 0.0
self._ao_prev2 = 0.0
self._ac_prev1 = 0.0
self._ac_prev2 = 0.0
self._history_count = 0
self._ao_ema = None
def OnStarted2(self, time):
super(zonal_trading_strategy, self).OnStarted2(time)
self._ao_prev1 = 0.0
self._ao_prev2 = 0.0
self._ac_prev1 = 0.0
self._ac_prev2 = 0.0
self._history_count = 0
ao = AwesomeOscillator()
self._ao_ema = ExponentialMovingAverage()
self._ao_ema.Length = 5
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ao, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ao)
self.DrawOwnTrades(area)
def process_candle(self, candle, ao_value):
if candle.State != CandleStates.Finished:
return
ao_val = float(ao_value)
sma_result = process_float(self._ao_ema, ao_val, candle.OpenTime, True)
if not self._ao_ema.IsFormed:
self._ao_prev2 = self._ao_prev1
self._ao_prev1 = ao_val
return
sma_value = float(sma_result)
ac_value = ao_val - sma_value
if self._history_count < 2:
self._ao_prev2 = self._ao_prev1
self._ao_prev1 = ao_val
self._ac_prev2 = self._ac_prev1
self._ac_prev1 = ac_value
self._history_count += 1
return
buy_signal = (ao_val > self._ao_prev1 and ac_value > self._ac_prev1 and
(self._ac_prev1 < self._ac_prev2 or self._ao_prev1 < self._ao_prev2) and
ao_val > 0 and ac_value > 0)
sell_signal = (ao_val < self._ao_prev1 and ac_value < self._ac_prev1 and
(self._ac_prev1 > self._ac_prev2 or self._ao_prev1 > self._ao_prev2) and
ao_val < 0 and ac_value < 0)
if buy_signal and self.Position <= 0:
self.BuyMarket()
if sell_signal and self.Position >= 0:
self.SellMarket()
# Exit conditions
if self.Position > 0 and ao_val < self._ao_prev1 and ac_value < self._ac_prev1:
self.SellMarket()
if self.Position < 0 and ao_val > self._ao_prev1 and ac_value > self._ac_prev1:
self.BuyMarket()
self._ao_prev2 = self._ao_prev1
self._ao_prev1 = ao_val
self._ac_prev2 = self._ac_prev1
self._ac_prev1 = ac_value
def CreateClone(self):
return zonal_trading_strategy()