PhythonML

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Apr 15, 2024
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Introduction​

PhythonML is a trading robot designed for the Forex market, marketed through MQL5. Based on user reviews and performance ratings, it has a mixed reception, with an average rating of 3.17 out of 5. This review will analyze the PhythonML robot, comparing it to one of the EASY Trading Team's robots to ascertain its effectiveness, reliability, and profitability.

Comparison with EASY Robot​

Compared to EASY Trendopedia, EASY Scalperology, or EASY Breakopedia, PhythonML falls short in several aspects. While PhythonML shows potential for profitability, particularly for larger accounts, it requires substantial capital to trade safely. Many users report significant losses, as highlighted by feedback from the user gohmander, who experienced a -50% return on a demo account.

In contrast, EASY Trendopedia and the other EASY robots are built with proven strategies that cater to a broader range of account sizes and risk appetites. They demonstrate consistent performance with lower drawdowns and more stable returns.

Pros and Cons​

PhythonML Pros:
  • Potential for decent yearly returns (10-20% on larger accounts).
  • Flexible trading options if users selectively trade fewer pairs.
  • Interesting algorithm with room for exploration.

PhythonML Cons:
  • Requires a large account size for safe trading.
  • Mixed user reviews, with significant losses reported.
  • Performance may vary greatly depending on the pairs selected and market conditions.

EASY Robot Pros:
  • Proven track record with consistent performance.
  • More reliability across various account sizes and market conditions.
  • Lower risk of large drawdowns.

EASY Robot Cons:
  • May require some initial learning curve to fully understand the strategies.
  • Performance can still vary based on market conditions, but is generally more stable.

Optimal Conditions for PhythonML Usage​

PhythonML works best in stable market conditions where individual currency pairs exhibit predictable movements. Users should ideally have a substantial account balance (e.g., $100,000) if they wish to utilize the full range of pairs offered by the robot. Selectively trading fewer pairs can enhance stability, making it suitable for users with higher risk tolerances.

PhythonML Source Code​

Currently, the original source code for the PhythonML robot is not publicly available. It can be inferred that the algorithm is developed based on the descriptions provided on MQL5, but the actual implementation details remain obscured. The EASY Trading Team does not market PhythonML; rather, they can provide code based on the available descriptions, allowing users to grasp its functionality without accessing the proprietary source code.

Code:
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Download PhythonML for Forex Trading​

For users interested in experimenting with PhythonML, you can find further information and trading statistics on the official site Forex Robot Easy: PhythonML.

If you have any questions regarding the code or would like to share your own experiences with PhythonML, feel free to engage in discussions on our forum. The EASY Trading Team is eager to hear your feedback and help clarify any inquiries related to trading strategies and code development based on PhythonML’s description.
 

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