MQL5 Algo Trading
388K subscribers
2.57K photos
2.57K links
The best publications of the largest community of algotraders.

Subscribe to stay up-to-date with modern technologies and trading programs development.
Download Telegram
Explore the integration of Python-like time modules in MQL5 to enhance algorithmic trading capabilities. Addressing the limitations of native MQL5, this implementation introduces Python-inspired classes such as CTime, CDate, and CDatetime for efficient time manipulation, timezone handling, and accurate timestamp conversions. These additions facilitate sophisticated backtesting and time-sensitive systems in MetaTrader 5. The complete implementation is available for community collaboration on GitHub. Each module provides essential methods similar to Python's datetime, improving accessibility and precision in trading applications. Access the repository to explore these innovative tools for trading and development.

👉 Read | AppStore | @mql5dev

#MQL5 #MT5 #python
7👍41👌1👨‍💻1
Multi-timeframe analysis is essential for understanding market direction in trading. A lower timeframe signal can conflict with higher timeframe trends, leading to unreliable results. The Timeframe Visual Analyzer enhances this by overlaying two higher-timeframe candles on the current chart, maintaining market focus. This allows traders to confirm directional bias across timeframes and receive alerts when alignments are detected, offering settings for sound, push notifications, and emails. The tool ensures seamless chart integration with customizable visual styling and performance optimization, supporting traders' workflows without chart switching, aiding quick decision-making in dynamic market conditions.

👉 Read | Docs | @mql5dev

#MQL5 #MT5 #EA
111👨‍💻1