Strategy trading on candle midpoints relative to highest and lowest range.
Buys when the current candle midpoint is below the average of the highest and lowest values and the normalized distance is below LowThreshold. Closes the long position when the midpoint rises above the average and the normalized distance is above HighThreshold.
Details
Entry Criteria: Midpoint below average and normalized distance below LowThreshold.
Long/Short: Long only.
Exit Criteria: Midpoint above average and normalized distance above HighThreshold.
Stops: No.
Default Values:
Range = 100
LowThreshold = 15m
HighThreshold = 85m
CandleType = TimeSpan.FromMinutes(240)
Filters:
Category: Range
Direction: Long
Indicators: Highest, Lowest
Stops: No
Complexity: Basic
Timeframe: Intraday (240m)
Seasonality: No
Neural Networks: No
Divergence: No
Risk Level: Medium
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;
public class HighsLowsStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFastEma;
private decimal _prevSlowEma;
public int FastEmaPeriod { get => _fastEmaPeriod.Value; set => _fastEmaPeriod.Value = value; }
public int SlowEmaPeriod { get => _slowEmaPeriod.Value; set => _slowEmaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public HighsLowsStrategy()
{
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 120)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 450)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_prevFastEma = 0m;
_prevSlowEma = 0m;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fastEma, slowEma, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastEmaValue, decimal slowEmaValue)
{
if (candle.State != CandleStates.Finished) return;
if (_prevFastEma == 0m || _prevSlowEma == 0m)
{
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
return;
}
if (_prevFastEma <= _prevSlowEma && fastEmaValue > slowEmaValue && Position <= 0)
BuyMarket();
else if (_prevFastEma >= _prevSlowEma && fastEmaValue < slowEmaValue && Position >= 0)
SellMarket();
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
}
}
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 highs_lows_strategy(Strategy):
"""
EMA crossover strategy.
Buys when fast EMA crosses above slow EMA, sells when it crosses below.
"""
def __init__(self):
super(highs_lows_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 120) \
.SetDisplay("Fast Period", "Fast EMA period", "General")
self._slow_period = self.Param("SlowPeriod", 450) \
.SetDisplay("Slow Period", "Slow EMA period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(highs_lows_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
def OnStarted2(self, time):
super(highs_lows_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self._fast_period.Value
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self._slow_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self._process_candle).Start()
def _process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fast = float(fast_val)
slow = float(slow_val)
if self._prev_fast != 0.0 and self._prev_slow != 0.0:
if self._prev_fast <= self._prev_slow and fast > slow:
if self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fast < slow:
if self.Position >= 0:
self.SellMarket()
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return highs_lows_strategy()