Aftershock Playbook Strategy
The Aftershock Playbook strategy trades post-earnings drift based on EPS surprises.
- Entry: On an earnings release, go long when surprise ≥
PositiveSurpriseor short when surprise ≤NegativeSurprise. Signals can be reversed withReverseSignals. - Stop: Optional ATR stop (
AtrLength,AtrMultiplier) applied to short positions. - Exit: Optionally close positions after
HoldDayscalendar days (UseTimeExit). - Re-entry: After a profitable exit the strategy re-enters once in the same direction. Losing trades block new entries until the next earnings release.
External earnings data feed is required.
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;
/// <summary>
/// Aftershock earnings drift strategy.
/// Uses large price moves relative to ATR as proxy for earnings surprise.
/// </summary>
public class AftershockPlaybookStrategy : Strategy
{
private readonly StrategyParam<decimal> _atrMult;
private readonly StrategyParam<int> _atrLen;
private readonly StrategyParam<decimal> _surpriseThreshold;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevClose;
private int _cooldownRemaining;
public decimal AtrMultiplier { get => _atrMult.Value; set => _atrMult.Value = value; }
public int AtrLength { get => _atrLen.Value; set => _atrLen.Value = value; }
public decimal SurpriseThreshold { get => _surpriseThreshold.Value; set => _surpriseThreshold.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public AftershockPlaybookStrategy()
{
_atrMult = Param(nameof(AtrMultiplier), 1.0m)
.SetDisplay("ATR Multiplier", "ATR multiplier for surprise threshold", "Strategy");
_atrLen = Param(nameof(AtrLength), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Length", "ATR lookback period", "Strategy");
_surpriseThreshold = Param(nameof(SurpriseThreshold), 1.0m)
.SetDisplay("Surprise Threshold", "ATR multiplier for detecting surprise moves", "Strategy");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevClose = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var atr = new AverageTrueRange { Length = AtrLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevClose = candle.ClosePrice;
return;
}
if (_prevClose == 0 || atrValue == 0)
{
_prevClose = candle.ClosePrice;
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevClose = candle.ClosePrice;
return;
}
var change = candle.ClosePrice - _prevClose;
var threshold = atrValue * SurpriseThreshold;
// Detect large price moves (earnings surprise proxy)
if (change > threshold && Position <= 0)
{
// Large positive move - go long (drift continuation)
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
else if (change < -threshold && Position >= 0)
{
// Large negative move - go short (drift continuation)
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Exit if price reverses by ATR amount
else if (Position > 0 && change < -atrValue * AtrMultiplier)
{
SellMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
else if (Position < 0 && change > atrValue * AtrMultiplier)
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
_prevClose = candle.ClosePrice;
}
}
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
from StockSharp.Algo.Strategies import Strategy
class aftershock_playbook_stock_earnings_drift_engine_strategy(Strategy):
def __init__(self):
super(aftershock_playbook_stock_earnings_drift_engine_strategy, self).__init__()
self._atr_mult = self.Param("AtrMultiplier", 1.0) \
.SetDisplay("ATR Multiplier", "ATR multiplier for surprise threshold", "Strategy")
self._atr_len = self.Param("AtrLength", 14) \
.SetGreaterThanZero() \
.SetDisplay("ATR Length", "ATR lookback period", "Strategy")
self._surprise_threshold = self.Param("SurpriseThreshold", 1.0) \
.SetDisplay("Surprise Threshold", "ATR multiplier for detecting surprise moves", "Strategy")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk")
self._prev_close = 0.0
self._cooldown_remaining = 0
@property
def AtrMultiplier(self):
return self._atr_mult.Value
@AtrMultiplier.setter
def AtrMultiplier(self, value):
self._atr_mult.Value = value
@property
def AtrLength(self):
return self._atr_len.Value
@AtrLength.setter
def AtrLength(self, value):
self._atr_len.Value = value
@property
def SurpriseThreshold(self):
return self._surprise_threshold.Value
@SurpriseThreshold.setter
def SurpriseThreshold(self, value):
self._surprise_threshold.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def CooldownBars(self):
return self._cooldown_bars.Value
@CooldownBars.setter
def CooldownBars(self, value):
self._cooldown_bars.Value = value
def OnReseted(self):
super(aftershock_playbook_stock_earnings_drift_engine_strategy, self).OnReseted()
self._prev_close = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(aftershock_playbook_stock_earnings_drift_engine_strategy, self).OnStarted2(time)
self._atr = AverageTrueRange()
self._atr.Length = self.AtrLength
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self._atr, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def ProcessCandle(self, candle, atr_value):
if candle.State != CandleStates.Finished:
return
atr_val = float(atr_value)
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_close = float(candle.ClosePrice)
return
if self._prev_close == 0.0 or atr_val == 0.0:
self._prev_close = float(candle.ClosePrice)
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_close = float(candle.ClosePrice)
return
close_price = float(candle.ClosePrice)
change = close_price - self._prev_close
threshold = atr_val * float(self.SurpriseThreshold)
# Detect large price moves (earnings surprise proxy)
if change > threshold and self.Position <= 0:
# Large positive move - go long (drift continuation)
if self.Position < 0:
self.BuyMarket(abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = self.CooldownBars
elif change < -threshold and self.Position >= 0:
# Large negative move - go short (drift continuation)
if self.Position > 0:
self.SellMarket(abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = self.CooldownBars
# Exit if price reverses by ATR amount
elif self.Position > 0 and change < -atr_val * float(self.AtrMultiplier):
self.SellMarket(abs(self.Position))
self._cooldown_remaining = self.CooldownBars
elif self.Position < 0 and change > atr_val * float(self.AtrMultiplier):
self.BuyMarket(abs(self.Position))
self._cooldown_remaining = self.CooldownBars
self._prev_close = close_price
def CreateClone(self):
return aftershock_playbook_stock_earnings_drift_engine_strategy()