Simple Forecast - Keltner Worms Strategy
The strategy builds a dynamic Keltner channel and trades when price moves outside the band.
Details
- Entry Criteria:
- Close price above the upper channel opens a long.
- Close price below the lower channel opens a short.
- Long/Short: Both.
- Exit Criteria:
- Opposite signal closes the position.
- Stops: None.
- Default Values:
Length= 10
- Filters:
- Category: Channel
- Direction: Both
- Indicators: EMA, ATR
- Stops: No
- Complexity: Low
- Timeframe: Any
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk level: Medium
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Simple Forecast - Keltner Worms Strategy - trades when price crosses dynamic Keltner Channel boundaries.
/// </summary>
public class SimpleForecastKeltnerWormsStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _length;
private readonly StrategyParam<decimal> _multiplier;
private decimal _prevClose;
private decimal _prevUpper;
private decimal _prevLower;
private bool _hasPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int Length { get => _length.Value; set => _length.Value = value; }
public decimal Multiplier { get => _multiplier.Value; set => _multiplier.Value = value; }
public SimpleForecastKeltnerWormsStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for processing", "General");
_length = Param(nameof(Length), 20)
.SetDisplay("Length", "Channel calculation period", "Indicators");
_multiplier = Param(nameof(Multiplier), 2m)
.SetDisplay("Multiplier", "ATR multiplier for bands", "Indicators");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevClose = 0;
_prevUpper = 0;
_prevLower = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = Length };
var atr = new AverageTrueRange { Length = Length };
_prevClose = 0;
_prevUpper = 0;
_prevLower = 0;
_hasPrev = false;
var sub = SubscribeCandles(CandleType);
sub.Bind(ema, atr, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, sub);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal emaVal, decimal atrVal)
{
if (candle.State != CandleStates.Finished)
return;
var upper = emaVal + Multiplier * atrVal;
var lower = emaVal - Multiplier * atrVal;
if (!_hasPrev)
{
_prevClose = candle.ClosePrice;
_prevUpper = upper;
_prevLower = lower;
_hasPrev = true;
return;
}
// Breakout above upper Keltner band
if (_prevClose <= _prevUpper && candle.ClosePrice > upper && Position <= 0)
BuyMarket();
// Breakdown below lower Keltner band
else if (_prevClose >= _prevLower && candle.ClosePrice < lower && Position >= 0)
SellMarket();
_prevClose = candle.ClosePrice;
_prevUpper = upper;
_prevLower = lower;
}
}
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 AverageTrueRange, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class simple_forecast_keltner_worms_strategy(Strategy):
def __init__(self):
super(simple_forecast_keltner_worms_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Type of candles for processing", "General")
self._length = self.Param("Length", 20) \
.SetDisplay("Length", "Channel calculation period", "Indicators")
self._multiplier = self.Param("Multiplier", 2) \
.SetDisplay("Multiplier", "ATR multiplier for bands", "Indicators")
self._prev_close = 0.0
self._prev_upper = 0.0
self._prev_lower = 0.0
self._has_prev = False
@property
def candle_type(self):
return self._candle_type.Value
@property
def length(self):
return self._length.Value
@property
def multiplier(self):
return self._multiplier.Value
def OnReseted(self):
super(simple_forecast_keltner_worms_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_upper = 0.0
self._prev_lower = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(simple_forecast_keltner_worms_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.length
atr = AverageTrueRange()
atr.Length = self.length
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ema, atr, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
def on_process(self, candle, ema_val, atr_val):
if candle.State != CandleStates.Finished:
return
upper = ema_val + self.multiplier * atr_val
lower = ema_val - self.multiplier * atr_val
if not self._has_prev:
self._prev_close = candle.ClosePrice
self._prev_upper = upper
self._prev_lower = lower
self._has_prev = True
return
# Breakout above upper Keltner band
if self._prev_close <= self._prev_upper and candle.ClosePrice > upper and self.Position <= 0:
self.BuyMarket()
# Breakdown below lower Keltner band
elif self._prev_close >= self._prev_lower and candle.ClosePrice < lower and self.Position >= 0:
self.SellMarket()
self._prev_close = candle.ClosePrice
self._prev_upper = upper
self._prev_lower = lower
def CreateClone(self):
return simple_forecast_keltner_worms_strategy()