This article is obsolete and no longer maintained.
Trading style: opens a basket of up to 4 positions based on volatility; takes profit at 20 pips and has a hard SL of 380 pips for GBPUSD (9/300 for EURUSD), but closes way before that most of the time.
Currency pairs: GBPUSD, EURUSD
Timeframe: M15
Price: $299 (EURUSD is a separate premium license charged $14.90 per month)
License: 1 live account, unlimited demo accounts
NFA compliance: yes
Refund policy: 60 days unconditional
Read more at the Volatility Factor website

Buy Volatility Factor

Note: as specified in the manual, one should carefully choose their risk when using this EA. It can have drawdowns in excess of 1500 pips. Hitting a full SL for all 4 trades would mean a drawdown of 380 * 4 = 1520 pips. My live account used an AutoMM of 0.5 in an attempt to keep the relative drawdown below 20-25%. The manual offers quite a few details and recommendations on account sizes vs lot sizes.

Birt’s forward test

Settings: GBPUSD_settings_3.set, AutoMM 3, AvoidNews enabled
Started: 13.07.2015
Broker: FXOpen (why?)
Current version: 6.0
Currency pairs: only GBPUSD, as recommended by the vendor

Volatility Factor forward test

Birt’s live forward test

Settings: default, AutoMM 0.5, AvoidNews enabled
Started: 27.03.2012
Stopped: 12.06.2015
Broker: PrivateFx
Account type: live, micro
Starting balance: $300
Current EA version: 6.0
Currency pairs: EURUSD, GBPUSD

Volatility Factor live forward test

Official accounts

Settings: unspecified
Started: 06.01.2012
Broker: Alpari NZ
Account type: demo
Currency pairs: GBPUSD

Volatility Factor official Alpari NZ demo account


Settings: unspecified
Started: 06.01.2012
Broker: FxPro
Account type: demo
Currency pairs: GBPUSD

Volatility Factor official FxPro demo account

Backtests

Note: the EA does not open any positions prior to 2008 in backtests. This seems to be a hardcoded limitation. My best guess is that its optimized for the past 3-4 years.

History center data

Volatility Factor 3.0 2008-2012 EURUSD history center data backtest, spread 1.0, default settings, AutoMM 1
Volatility Factor 3.0 2008-2012 EURUSD history center data backtest, spread 1.0, default settings, AutoMM 1
Volatility Factor 3.0 2008-2012 GBPUSD history center data backtest, spread 1.5, default settings, AutoMM 1
Volatility Factor 3.0 2008-2012 GBPUSD history center data backtest, spread 1.5, default settings, AutoMM 1

Tick data

Volatility Factor 3.0 2008-2012 EURUSD tick data backtest, real spread, default settings, AutoMM 1
Volatility Factor 3.0 2008-2012 EURUSD tick data backtest, real spread, default settings, AutoMM 1
Volatility Factor 3.0 2008-2012 GBPUSD tick data backtest, real spread, default settings, AutoMM 1
Volatility Factor 3.0 2008-2012 GBPUSD tick data backtest, real spread, default settings, AutoMM 1

I decided the drawdowns in the tick data backtests (albeit mostly floating) are a bit too much for my taste so I also ran some more backtests with AutoMM 0.5, which is the setting that I ended up running with on my live account. The drawdown was – naturally – much lower.

Volatility Factor 3.0 2008-2012 EURUSD tick data backtest, real spread, default settings, AutoMM 0.5
Volatility Factor 3.0 2008-2012 EURUSD tick data backtest, real spread, default settings, AutoMM 0.5
Volatility Factor 3.0 2008-2012 GBPUSD tick data backtest, real spread, default settings, AutoMM 0.5
Volatility Factor 3.0 2008-2012 GBPUSD tick data backtest, real spread, default settings, AutoMM 0.5

Oanda tick data, timeshifted 28 years in the future

Since the EA has a hardcoded limitation and it only starts trading in backtests when 2008 is reached, there were a few requests to run some backtests with the data shifted in the future. The only “good” shift that makes the days of the month land on the same day of the week is 28 years; the problem is that MT4 has a limitation and is unable to run backtests past January 2038 so it follows that it’s impossible to test past 2010 using this method. Even knowing this, creating the files up to 2010 (shifted to 2038) is a royal pain in the ass and I don’t recommend trying this at home. I chose the Oanda tick data because it spans a larger interval (2004-2012 vs 2007-2012 for Dukascopy) and consequently yields a longer backtest period. Both backtests are using real spread.

Volatility Factor 3.0 2004-2010 (timeshifted 28 years ahead) EURUSD Oanda tick data backtest, real spread, default settings, AutoMM 0.5
Volatility Factor 3.0 2004-2010 (timeshifted 28 years ahead) EURUSD Oanda tick data backtest, real spread, default settings, AutoMM 0.5
Volatility Factor 3.0 2004-2010 (timeshifted 28 years ahead) GBPUSD Oanda tick data backtest, real spread, default settings, AutoMM 0.5
Volatility Factor 3.0 2004-2010 (timeshifted 28 years ahead) GBPUSD Oanda tick data backtest, real spread, default settings, AutoMM 0.5