Angry Bird Scalping-Strategie
Diese Strategie repliziert den MetaTrader Expert Advisor "Angry Bird (Scalping)" mit der High-Level-API von StockSharp.
Logik
- Beobachtet 15-Minuten-Kerzen und berechnet das höchste Hoch und tiefste Tief über die letzten
DepthKerzen, um einen dynamischen Grid-Schritt abzuleiten. - Wenn keine Position offen ist und die vorherige Kerze über der aktuellen schließt, löst der RSI auf dem Stundenrahmen Einstiege aus: Werte über
RsiMinöffnen Short-Positionen, Werte unterRsiMaxöffnen Long-Positionen. - Wenn eine Position existiert und der Kurs sich um mindestens den Grid-Schritt dagegen bewegt, wird eine neue Position in dieselbe Richtung mit seinem Volumen, multipliziert mit
LotExponent, geöffnet, bisMaxTradeserreicht ist. - Ein starker CCI-Wert über
CciDropfür Shorts oder unter-CciDropfür Longs erzwingt das Schließen aller Positionen. - Positionen werden auch geschlossen, wenn der Gewinn
TakeProfitoder der VerlustStopLossrelativ zum durchschnittlichen Einstiegspreis erreicht.
Parameter
StopLoss– Stop-Loss in Punkten.TakeProfit– Take-Profit in Punkten.DefaultPips– minimaler Abstand zwischen Grid-Orders in Pips.Depth– Anzahl der Kerzen für die Hoch/Tief-Berechnung.LotExponent– Multiplikator für das nachfolgende Order-Volumen.MaxTrades– maximale Anzahl der Averaging-Positionen.RsiMin/RsiMax– RSI-Schwellenwerte für den Einstieg.CciDrop– absoluter CCI-Wert, der das Schließen von Positionen erzwingt.Volume– anfängliches Order-Volumen.CandleType– Zeitrahmen der Arbeitskerzen (Standard 15 Minuten).
Verwendung
Strategie einem Instrument zuweisen und starten. Die Strategie verwendet Marktorders und verwaltet eine einzige Nettoposition, die gemittelt wird, wenn der Kurs dagegen läuft.
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>
/// Angry Bird scalping strategy.
/// Uses RSI and CCI indicators with a dynamic grid for averaging positions.
/// </summary>
public class AngryBirdScalpingStrategy : Strategy
{
private readonly StrategyParam<int> _stopLoss;
private readonly StrategyParam<int> _takeProfit;
private readonly StrategyParam<int> _defaultPips;
private readonly StrategyParam<int> _depth;
private readonly StrategyParam<decimal> _lotExponent;
private readonly StrategyParam<int> _maxTrades;
private readonly StrategyParam<decimal> _rsiMin;
private readonly StrategyParam<decimal> _rsiMax;
private readonly StrategyParam<decimal> _cciDrop;
private readonly StrategyParam<DataType> _candleType;
private decimal _lastOpenBuyPrice;
private decimal _lastOpenSellPrice;
private decimal _entryPrice;
private int _tradeCount;
private bool _longTrade;
private bool _shortTrade;
private decimal _rsiValue;
private decimal? _prevClose;
public int StopLoss { get => _stopLoss.Value; set => _stopLoss.Value = value; }
public int TakeProfit { get => _takeProfit.Value; set => _takeProfit.Value = value; }
public int DefaultPips { get => _defaultPips.Value; set => _defaultPips.Value = value; }
public int Depth { get => _depth.Value; set => _depth.Value = value; }
public decimal LotExponent { get => _lotExponent.Value; set => _lotExponent.Value = value; }
public int MaxTrades { get => _maxTrades.Value; set => _maxTrades.Value = value; }
public decimal RsiMin { get => _rsiMin.Value; set => _rsiMin.Value = value; }
public decimal RsiMax { get => _rsiMax.Value; set => _rsiMax.Value = value; }
public decimal CciDrop { get => _cciDrop.Value; set => _cciDrop.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public AngryBirdScalpingStrategy()
{
_stopLoss = Param(nameof(StopLoss), 500)
.SetGreaterThanZero()
.SetDisplay("Stop Loss", "Stop loss in points", "Risk");
_takeProfit = Param(nameof(TakeProfit), 40)
.SetGreaterThanZero()
.SetDisplay("Take Profit", "Take profit in points", "Risk");
_defaultPips = Param(nameof(DefaultPips), 20)
.SetGreaterThanZero()
.SetDisplay("Default Pips", "Minimal grid step in pips", "Grid");
_depth = Param(nameof(Depth), 24)
.SetGreaterThanZero()
.SetDisplay("Depth", "Bars for high/low calculation", "Grid");
_lotExponent = Param(nameof(LotExponent), 1.62m)
.SetGreaterThanZero()
.SetDisplay("Lot Exponent", "Volume multiplier for averaging", "Grid");
_maxTrades = Param(nameof(MaxTrades), 3)
.SetGreaterThanZero()
.SetDisplay("Max Trades", "Maximum number of averaging orders", "Grid");
_rsiMin = Param(nameof(RsiMin), 70m)
.SetDisplay("RSI Min", "RSI threshold to sell", "Signals");
_rsiMax = Param(nameof(RsiMax), 30m)
.SetDisplay("RSI Max", "RSI threshold to buy", "Signals");
_cciDrop = Param(nameof(CciDrop), 500m)
.SetGreaterThanZero()
.SetDisplay("CCI Drop", "CCI value to close positions", "Signals");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Working candle timeframe", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_lastOpenBuyPrice = 0m;
_lastOpenSellPrice = 0m;
_entryPrice = 0m;
_tradeCount = 0;
_longTrade = false;
_shortTrade = false;
_rsiValue = 0m;
_prevClose = null;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_tradeCount = 0;
_longTrade = false;
_shortTrade = false;
_entryPrice = 0;
var cci = new CommodityChannelIndex { Length = 55 };
var rsi = new RelativeStrengthIndex { Length = 14 };
var highest = new Highest { Length = Depth };
var lowest = new Lowest { Length = Depth };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(cci, rsi, highest, lowest, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, cci);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal cci, decimal rsi, decimal highest, decimal lowest)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var close = candle.ClosePrice;
var stepPrice = Security.PriceStep ?? 1m;
var pipDistance = Math.Max((highest - lowest) / Math.Max(stepPrice, 1m), DefaultPips) * stepPrice;
_rsiValue = rsi;
// Close all positions on strong CCI movement
if ((cci > CciDrop && _shortTrade) || (cci < -CciDrop && _longTrade))
{
CloseAll();
return;
}
var tradeNow = false;
if (Position == 0m)
{
_tradeCount = 0;
_longTrade = false;
_shortTrade = false;
tradeNow = true;
}
else if (_tradeCount < MaxTrades)
{
if (_longTrade && _lastOpenBuyPrice - close >= pipDistance)
tradeNow = true;
if (_shortTrade && close - _lastOpenSellPrice >= pipDistance)
tradeNow = true;
}
if (tradeNow)
{
var volume = Volume * (decimal)Math.Pow((double)LotExponent, _tradeCount);
if (_longTrade)
{
BuyMarket(volume);
_lastOpenBuyPrice = close;
_tradeCount++;
}
else if (_shortTrade)
{
SellMarket(volume);
_lastOpenSellPrice = close;
_tradeCount++;
}
else if (_prevClose is decimal prev && prev > close)
{
if (_rsiValue > RsiMin)
{
SellMarket(volume);
_shortTrade = true;
_lastOpenSellPrice = close;
_entryPrice = close;
_tradeCount = 1;
}
else if (_rsiValue < RsiMax)
{
BuyMarket(volume);
_longTrade = true;
_lastOpenBuyPrice = close;
_entryPrice = close;
_tradeCount = 1;
}
}
}
if (Position != 0m)
{
if (_longTrade)
{
var tp = _entryPrice + TakeProfit * stepPrice;
var sl = _entryPrice - StopLoss * stepPrice;
if (close >= tp || close <= sl)
CloseAll();
}
else if (_shortTrade)
{
var tp = _entryPrice - TakeProfit * stepPrice;
var sl = _entryPrice + StopLoss * stepPrice;
if (close <= tp || close >= sl)
CloseAll();
}
}
_prevClose = close;
}
private void CloseAll()
{
if (Position > 0)
SellMarket(Math.Abs(Position));
else if (Position < 0)
BuyMarket(Math.Abs(Position));
_tradeCount = 0;
_longTrade = false;
_shortTrade = false;
_entryPrice = 0;
}
}
import clr
import math
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import CommodityChannelIndex, Highest, Lowest, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class angry_bird_scalping_strategy(Strategy):
def __init__(self):
super(angry_bird_scalping_strategy, self).__init__()
self._stop_loss = self.Param("StopLoss", 500)
self._take_profit = self.Param("TakeProfit", 40)
self._default_pips = self.Param("DefaultPips", 20)
self._depth = self.Param("Depth", 24)
self._lot_exponent = self.Param("LotExponent", 1.62)
self._max_trades = self.Param("MaxTrades", 3)
self._rsi_min = self.Param("RsiMin", 70.0)
self._rsi_max = self.Param("RsiMax", 30.0)
self._cci_drop = self.Param("CciDrop", 500.0)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._last_open_buy_price = 0.0
self._last_open_sell_price = 0.0
self._entry_price = 0.0
self._trade_count = 0
self._long_trade = False
self._short_trade = False
self._rsi_value = 0.0
self._prev_close = None
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(angry_bird_scalping_strategy, self).OnStarted2(time)
self._trade_count = 0
self._long_trade = False
self._short_trade = False
self._entry_price = 0.0
self._last_open_buy_price = 0.0
self._last_open_sell_price = 0.0
self._rsi_value = 0.0
self._prev_close = None
cci = CommodityChannelIndex()
cci.Length = 55
rsi = RelativeStrengthIndex()
rsi.Length = 14
highest = Highest()
highest.Length = int(self._depth.Value)
lowest = Lowest()
lowest.Length = int(self._depth.Value)
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(cci, rsi, highest, lowest, self.ProcessCandle).Start()
def ProcessCandle(self, candle, cci_value, rsi_value, highest_value, lowest_value):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
close = float(candle.ClosePrice)
cci_val = float(cci_value)
rsi_val = float(rsi_value)
high_val = float(highest_value)
low_val = float(lowest_value)
step_price = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
pip_distance = max((high_val - low_val) / max(step_price, 1.0), float(self._default_pips.Value)) * step_price
self._rsi_value = rsi_val
cci_drop = float(self._cci_drop.Value)
if (cci_val > cci_drop and self._short_trade) or (cci_val < -cci_drop and self._long_trade):
self._close_all()
return
trade_now = False
pos = float(self.Position)
if pos == 0:
self._trade_count = 0
self._long_trade = False
self._short_trade = False
trade_now = True
elif self._trade_count < int(self._max_trades.Value):
if self._long_trade and self._last_open_buy_price - close >= pip_distance:
trade_now = True
if self._short_trade and close - self._last_open_sell_price >= pip_distance:
trade_now = True
if trade_now:
vol = float(self.Volume) * math.pow(float(self._lot_exponent.Value), self._trade_count)
if self._long_trade:
self.BuyMarket(vol)
self._last_open_buy_price = close
self._trade_count += 1
elif self._short_trade:
self.SellMarket(vol)
self._last_open_sell_price = close
self._trade_count += 1
elif self._prev_close is not None and self._prev_close > close:
rsi_min = float(self._rsi_min.Value)
rsi_max = float(self._rsi_max.Value)
if self._rsi_value > rsi_min:
self.SellMarket(vol)
self._short_trade = True
self._last_open_sell_price = close
self._entry_price = close
self._trade_count = 1
elif self._rsi_value < rsi_max:
self.BuyMarket(vol)
self._long_trade = True
self._last_open_buy_price = close
self._entry_price = close
self._trade_count = 1
pos = float(self.Position)
if pos != 0:
sl = float(self._stop_loss.Value)
tp = float(self._take_profit.Value)
if self._long_trade:
tp_price = self._entry_price + tp * step_price
sl_price = self._entry_price - sl * step_price
if close >= tp_price or close <= sl_price:
self._close_all()
elif self._short_trade:
tp_price = self._entry_price - tp * step_price
sl_price = self._entry_price + sl * step_price
if close <= tp_price or close >= sl_price:
self._close_all()
self._prev_close = close
def _close_all(self):
pos = float(self.Position)
if pos > 0:
self.SellMarket(abs(pos))
elif pos < 0:
self.BuyMarket(abs(pos))
self._trade_count = 0
self._long_trade = False
self._short_trade = False
self._entry_price = 0.0
def OnReseted(self):
super(angry_bird_scalping_strategy, self).OnReseted()
self._last_open_buy_price = 0.0
self._last_open_sell_price = 0.0
self._entry_price = 0.0
self._trade_count = 0
self._long_trade = False
self._short_trade = False
self._rsi_value = 0.0
self._prev_close = None
def CreateClone(self):
return angry_bird_scalping_strategy()