Marius Guscius / Perfil
- Informações
6+ anos
experiência
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3
produtos
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109
versão demo
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0
trabalhos
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0
sinais
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assinantes
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![Marius Guscius](https://c.mql5.com/avatar/2018/1/5A53A206-418C.png)
MoneyMaker v8 Basic information: Trend based strategy Entry is confirmed with the 6 indicators Real take profit and stop-loss Low drawdawn Auto lots Recovery strategy No martingale, no grid, no dumb strategies Optimization is done for current market conditions (2015 and up) Time frame: M5 Min wallet size: 1000 of your base currency (for better growth at least 2000 is recommended) General recommendation for any EA: Test this on your demo account before going live. SET files (for 2.1
![Marius Guscius](https://c.mql5.com/avatar/2018/1/5A53A206-418C.png)
https://www.mql5.com/en/market/product/34593
Grid approach ditched. Real take profit / stop loss. Autolots based on Risk per order (usually 2%). Profit factor for EURUSD 2.08. Max drawdawn 8.66%. Expected payoff 32.60.
![](https://c.mql5.com/1/135/2019-01-20_23_32_16-Window.jpg)
MoneyMaker v2 This expert advisor is based on idea that market produces very strong movement to opposite side once trend reversal is imminent. So our core trigger is bar size relative to previous bars optionally filtered by Bollinger Bands, Money Flow Index, Simple Moving Averages and Commodity Channel Index. MoneyMaker v2 also implements autolot based on free margin / Risk per single order (in %) parameter. Spread filtering is done through Minimum bar body size / pair spread multiplier
![Marius Guscius](https://c.mql5.com/avatar/2018/1/5A53A206-418C.png)
https://www.mql5.com/en/market/product/31550
![](https://c.mql5.com/1/131/volatilityhunter-screen-4526n1o.jpg)
VolatilityHunter VolatilityHunter is an intelligent expert advisor that records unusually high movement bars to csv file. VolatilityHunter's generated csv file can be found in: Files/VolatilityHunter/{BROKER_NAME}/{PAIR_NAME} [{TIME_FRAME}].csv Afterwards it is possible to compare csv data with economic calendar such as: https://www.investing.com/economic-calendar/ for further analysis. RECOMMENDATIONS: Use history ticks data converted to GMT time zone