Estratégia de Scalping Angry Bird
Esta estratégia replica o consultor especialista MetaTrader "Angry Bird (Scalping)" usando a API de alto nível do StockSharp.
Lógica
- Observa velas de 15 minutos e calcula a máxima mais alta e a mínima mais baixa nas últimas barras
Depthpara derivar um passo de grade dinâmico. - Quando não há posição aberta e a vela anterior fecha acima da atual, o RSI no período horário dispara entradas: valores acima de
RsiMinabrem posições vendidas, valores abaixo deRsiMaxabrem posições compradas. - Se uma posição existe e o preço se move contra ela pelo menos o passo da grade, uma nova posição é aberta na mesma direção com seu volume multiplicado por
LotExponentaté queMaxTradesseja atingido. - Uma leitura forte do CCI acima de
CciDroppara vendidos ou abaixo de-CciDroppara comprados força o fechamento de todas as posições. - As posições também são fechadas quando o lucro atinge
TakeProfitou a perda atingeStopLossrelativo ao preço médio de entrada.
Parâmetros
StopLoss– stop loss em pontos.TakeProfit– take profit em pontos.DefaultPips– distância mínima entre ordens de grade em pips.Depth– número de velas usadas para cálculo de máxima/mínima.LotExponent– multiplicador para o volume de ordens subsequentes.MaxTrades– número máximo de posições de média.RsiMin/RsiMax– limiares de RSI para entrada.CciDrop– valor absoluto do CCI que força o fechamento de posições.Volume– volume inicial da ordem.CandleType– período das velas de trabalho (padrão 15 minutos).
Uso
Anexe a estratégia a um instrumento e inicie. A estratégia usa ordens a mercado e gerencia uma única posição líquida, fazendo média à medida que o preço se move contra ela.
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()