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Bonjour !
Merci d’avoir visité mon profil — je vous en suis très reconnaissant !
Je suis un voyageur à temps plein. Avant cela, j’ai travaillé comme spécialiste en automatisation dans le domaine des tests et du développement de logiciels. J’ai collaboré avec des entreprises comme Vodafone, NCR et Global Payments à Prague, en République tchèque.
J’ai terminé mon dernier projet en entreprise en 2021. Depuis 2011, je m’intéresse aux technologies liées aux cryptomonnaies (j’ai commencé par le minage), et en 2019, j’ai décidé de clôturer mes projets en cours pour voyager à travers le monde et approfondir mes connaissances en trading crypto. Fin 2020, j’ai commencé à combiner mes compétences en automatisation et en trading pour créer mes premiers bots de trading.
J’ai commencé par automatiser des logiciels de minage (allocation des ressources), puis j’ai développé des indicateurs sur TradingView en apprenant le langage Pine Script. Aujourd’hui, je me concentre sur l’amélioration de mes compétences en MQL5 et je souhaite partager mes connaissances avec le monde. L’essor des « prop firms » et des entreprises d’investissement qui proposent des défis aux traders me passionne — et je suis convaincu qu’un investisseur quelque part saura reconnaître la valeur de ces années de travail.
J’aime aussi rencontrer de nouvelles personnes et élargir mon réseau, alors n’hésitez pas à m’envoyer un message ! Ce sera un plaisir de vous aider à avancer vers la vie de vos rêves.
Merci d’avoir visité mon profil — je vous en suis très reconnaissant !
Je suis un voyageur à temps plein. Avant cela, j’ai travaillé comme spécialiste en automatisation dans le domaine des tests et du développement de logiciels. J’ai collaboré avec des entreprises comme Vodafone, NCR et Global Payments à Prague, en République tchèque.
J’ai terminé mon dernier projet en entreprise en 2021. Depuis 2011, je m’intéresse aux technologies liées aux cryptomonnaies (j’ai commencé par le minage), et en 2019, j’ai décidé de clôturer mes projets en cours pour voyager à travers le monde et approfondir mes connaissances en trading crypto. Fin 2020, j’ai commencé à combiner mes compétences en automatisation et en trading pour créer mes premiers bots de trading.
J’ai commencé par automatiser des logiciels de minage (allocation des ressources), puis j’ai développé des indicateurs sur TradingView en apprenant le langage Pine Script. Aujourd’hui, je me concentre sur l’amélioration de mes compétences en MQL5 et je souhaite partager mes connaissances avec le monde. L’essor des « prop firms » et des entreprises d’investissement qui proposent des défis aux traders me passionne — et je suis convaincu qu’un investisseur quelque part saura reconnaître la valeur de ces années de travail.
J’aime aussi rencontrer de nouvelles personnes et élargir mon réseau, alors n’hésitez pas à m’envoyer un message ! Ce sera un plaisir de vous aider à avancer vers la vie de vos rêves.
Amis
3
Frantisek Juris
Free MetaTrader 5 Expert Advisors for Testing and Learning
Hi traders,While experimenting with different automated trading ideas in MetaTrader 5, I built a couple of small Expert Advisors mainly for testing strategy logic and understanding how different systems behave over time.
Instead of keeping them private, I decided to release two of these EAs completely free on the MQL5 Market so other traders can study them, test them, and maybe get inspiration for their own algorithmic trading systems.
The first EA is based on a simple long-term Dollar Cost Averaging idea.The strategy splits the position into 100 buy orders and gradually averages in when price drops. When the combined position moves into overall profit, the EA closes the basket. The logic is intentionally simple and designed for assets that historically tend to grow over time, such as Bitcoin, Gold, or stock indices like the S&P500.
Free EA (DCA strategy): https://www.mql5.com/en/market/product/167501
The second EA is a small experiment focused on recovery logic and position sizing.The strategy opens a LONG trade when the previous candle closes bullish. It uses a Take Profit of 1 percent price movement and a Stop Loss of 1 percent price movement. Position size is calibrated so that a theoretical −100 percent price move would equal roughly a −1 percent loss of the account balance. Because the real stop loss is only −1 percent price movement, the first losing trade typically results in a very small balance change as −0.01%.
If the stop loss is hit, the EA activates a recovery step that slightly increases the next position size. The idea is that when a trade reaches take profit, it can recover previous losses and reset the cycle. This creates a structure similar to strategies often described as recovery systems, grid logic, or martingale-style progression.
Free EA (recovery experiment): https://www.mql5.com/en/market/product/167506
I decided to release these versions for free mainly so traders can see real working examples of Expert Advisors and experiment with them in strategy tester or demo accounts.
Of course, before running any automated system on a live account, it is always wise to run long backtests (5–10 years if possible) and fully understand the risks of the strategy.
I would also be genuinely interested to hear from other traders here.Do you prefer long-term strategies like DCA and position building, or more active trading systems?And when you started using Expert Advisors in MetaTrader 5, what helped you the most to understand automated trading?
Wishing everyone successful testing and good trading!
Hi traders,While experimenting with different automated trading ideas in MetaTrader 5, I built a couple of small Expert Advisors mainly for testing strategy logic and understanding how different systems behave over time.
Instead of keeping them private, I decided to release two of these EAs completely free on the MQL5 Market so other traders can study them, test them, and maybe get inspiration for their own algorithmic trading systems.
The first EA is based on a simple long-term Dollar Cost Averaging idea.The strategy splits the position into 100 buy orders and gradually averages in when price drops. When the combined position moves into overall profit, the EA closes the basket. The logic is intentionally simple and designed for assets that historically tend to grow over time, such as Bitcoin, Gold, or stock indices like the S&P500.
Free EA (DCA strategy): https://www.mql5.com/en/market/product/167501
The second EA is a small experiment focused on recovery logic and position sizing.The strategy opens a LONG trade when the previous candle closes bullish. It uses a Take Profit of 1 percent price movement and a Stop Loss of 1 percent price movement. Position size is calibrated so that a theoretical −100 percent price move would equal roughly a −1 percent loss of the account balance. Because the real stop loss is only −1 percent price movement, the first losing trade typically results in a very small balance change as −0.01%.
If the stop loss is hit, the EA activates a recovery step that slightly increases the next position size. The idea is that when a trade reaches take profit, it can recover previous losses and reset the cycle. This creates a structure similar to strategies often described as recovery systems, grid logic, or martingale-style progression.
Free EA (recovery experiment): https://www.mql5.com/en/market/product/167506
I decided to release these versions for free mainly so traders can see real working examples of Expert Advisors and experiment with them in strategy tester or demo accounts.
Of course, before running any automated system on a live account, it is always wise to run long backtests (5–10 years if possible) and fully understand the risks of the strategy.
I would also be genuinely interested to hear from other traders here.Do you prefer long-term strategies like DCA and position building, or more active trading systems?And when you started using Expert Advisors in MetaTrader 5, what helped you the most to understand automated trading?
Wishing everyone successful testing and good trading!