using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Port of the MetaTrader expert "KA-Gold Bot".
/// Trades breakouts of a Keltner-style channel confirmed by trend filters from fast and slow EMA.
/// Buys when close breaks above upper Keltner band and fast EMA is above slow EMA.
/// Sells when close breaks below lower Keltner band and fast EMA is below slow EMA.
/// Exits when price crosses the opposite Keltner band or when EMA trend reverses.
/// </summary>
public class KAGoldBotStrategy : Strategy
{
private readonly StrategyParam<int> _keltnerPeriod;
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _bandMultiplier;
private ExponentialMovingAverage _fastEma;
private ExponentialMovingAverage _slowEma;
private ExponentialMovingAverage _keltnerEma;
private SimpleMovingAverage _rangeAverage;
private bool _prevAboveUpper;
private bool _prevBelowLower;
private decimal _entryPrice;
/// <summary>
/// Keltner channel length used for the midline EMA and range average.
/// </summary>
public int KeltnerPeriod
{
get => _keltnerPeriod.Value;
set => _keltnerPeriod.Value = value;
}
/// <summary>
/// Fast EMA period for crossover signal.
/// </summary>
public int FastEmaPeriod
{
get => _fastEmaPeriod.Value;
set => _fastEmaPeriod.Value = value;
}
/// <summary>
/// Slow EMA period for trend filter.
/// </summary>
public int SlowEmaPeriod
{
get => _slowEmaPeriod.Value;
set => _slowEmaPeriod.Value = value;
}
/// <summary>
/// Multiplier for Keltner channel band width.
/// </summary>
public decimal BandMultiplier
{
get => _bandMultiplier.Value;
set => _bandMultiplier.Value = value;
}
/// <summary>
/// Candle type used for signal generation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public KAGoldBotStrategy()
{
_keltnerPeriod = Param(nameof(KeltnerPeriod), 50)
.SetGreaterThanZero()
.SetDisplay("Keltner Period", "Length of the EMA and range average", "Indicators");
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Period of the fast EMA filter", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 30)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Period of the slow EMA trend filter", "Indicators");
_bandMultiplier = Param(nameof(BandMultiplier), 3m)
.SetGreaterThanZero()
.SetDisplay("Band Multiplier", "Multiplier for Keltner band width", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for calculations", "General");
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
_slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
_keltnerEma = new ExponentialMovingAverage { Length = KeltnerPeriod };
_rangeAverage = new SimpleMovingAverage { Length = KeltnerPeriod };
_prevAboveUpper = false;
_prevBelowLower = false;
_entryPrice = 0;
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 fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished)
return;
var close = candle.ClosePrice;
// Process Keltner EMA and range average manually (IsFinal=true for finished candles)
var midResult = _keltnerEma.Process(new DecimalIndicatorValue(_keltnerEma, close, candle.OpenTime) { IsFinal = true });
var rangeResult = _rangeAverage.Process(new DecimalIndicatorValue(_rangeAverage, candle.HighPrice - candle.LowPrice, candle.OpenTime) { IsFinal = true });
if (!_keltnerEma.IsFormed || !_rangeAverage.IsFormed)
return;
var mid = midResult.GetValue<decimal>();
var avgRange = rangeResult.GetValue<decimal>();
var upper = mid + avgRange * BandMultiplier;
var lower = mid - avgRange * BandMultiplier;
var aboveUpper = close > upper;
var belowLower = close < lower;
// Exit logic: close crosses opposite band
if (Position > 0 && close < lower)
{
SellMarket();
}
else if (Position < 0 && close > upper)
{
BuyMarket();
}
// Entry logic: Keltner breakout + EMA trend confirmation
if (Position == 0)
{
// Buy: close breaks above upper band, fast EMA above slow EMA
if (!_prevAboveUpper && aboveUpper && fastValue > slowValue)
{
BuyMarket();
_entryPrice = close;
}
// Sell: close breaks below lower band, fast EMA below slow EMA
else if (!_prevBelowLower && belowLower && fastValue < slowValue)
{
SellMarket();
_entryPrice = close;
}
}
_prevAboveUpper = aboveUpper;
_prevBelowLower = belowLower;
}
/// <inheritdoc />
protected override void OnReseted()
{
_fastEma = null;
_slowEma = null;
_keltnerEma = null;
_rangeAverage = null;
_prevAboveUpper = false;
_prevBelowLower = false;
_entryPrice = 0;
base.OnReseted();
}
}
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, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class ka_gold_bot_strategy(Strategy):
def __init__(self):
super(ka_gold_bot_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._keltner_period = self.Param("KeltnerPeriod", 50)
self._fast_ema_period = self.Param("FastEmaPeriod", 10)
self._slow_ema_period = self.Param("SlowEmaPeriod", 30)
self._band_multiplier = self.Param("BandMultiplier", 3.0)
self._keltner_ema_value = None
self._range_buffer = []
self._candle_count = 0
self._prev_above_upper = False
self._prev_below_lower = False
self._entry_price = 0.0
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def KeltnerPeriod(self):
return self._keltner_period.Value
@KeltnerPeriod.setter
def KeltnerPeriod(self, value):
self._keltner_period.Value = value
@property
def FastEmaPeriod(self):
return self._fast_ema_period.Value
@FastEmaPeriod.setter
def FastEmaPeriod(self, value):
self._fast_ema_period.Value = value
@property
def SlowEmaPeriod(self):
return self._slow_ema_period.Value
@SlowEmaPeriod.setter
def SlowEmaPeriod(self, value):
self._slow_ema_period.Value = value
@property
def BandMultiplier(self):
return self._band_multiplier.Value
@BandMultiplier.setter
def BandMultiplier(self, value):
self._band_multiplier.Value = value
def OnReseted(self):
self._keltner_ema_value = None
self._range_buffer = []
self._candle_count = 0
self._prev_above_upper = False
self._prev_below_lower = False
self._entry_price = 0.0
super(ka_gold_bot_strategy, self).OnReseted()
def OnStarted2(self, time):
super(ka_gold_bot_strategy, self).OnStarted2(time)
self._keltner_ema_value = None
self._range_buffer = []
self._candle_count = 0
self._prev_above_upper = False
self._prev_below_lower = False
self._entry_price = 0.0
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.FastEmaPeriod
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.SlowEmaPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(fast_ema, slow_ema, self._process_candle).Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
high = float(candle.HighPrice)
low = float(candle.LowPrice)
candle_range = high - low
period = self.KeltnerPeriod
mult = float(self.BandMultiplier)
# EMA for Keltner midline (manual computation)
if self._keltner_ema_value is None:
self._keltner_ema_value = close
else:
k = 2.0 / (period + 1.0)
self._keltner_ema_value = close * k + self._keltner_ema_value * (1.0 - k)
# SMA for range average (manual computation)
self._range_buffer.append(candle_range)
if len(self._range_buffer) > period:
self._range_buffer.pop(0)
self._candle_count += 1
if self._candle_count < period:
return
mid = self._keltner_ema_value
avg_range = sum(self._range_buffer) / len(self._range_buffer)
upper = mid + avg_range * mult
lower = mid - avg_range * mult
above_upper = close > upper
below_lower = close < lower
fast_val = float(fast_value)
slow_val = float(slow_value)
# Exit logic: close crosses opposite band
if self.Position > 0 and close < lower:
self.SellMarket()
elif self.Position < 0 and close > upper:
self.BuyMarket()
# Entry logic: Keltner breakout + EMA trend confirmation
if self.Position == 0:
if not self._prev_above_upper and above_upper and fast_val > slow_val:
self.BuyMarket()
self._entry_price = close
elif not self._prev_below_lower and below_lower and fast_val < slow_val:
self.SellMarket()
self._entry_price = close
self._prev_above_upper = above_upper
self._prev_below_lower = below_lower
def CreateClone(self):
return ka_gold_bot_strategy()