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In this article, we propel the MQL5 Economic Calendar series forward by optimizing our trading system for lightning-fast, visually intuitive backtesting, seamlessly integrating data visualization for both live and offline modes to enhance news-driven strategy development. Building on Part 7’s foundation of resource-based event analysis for Strategy Tester compatibility, we now introduce smart event filtering and targeted logging to streamline performance, ensuring we can efficiently visualize ...
As data volumes in today's world grow rapidly and tasks become increasingly complex and energy-intensive, the need for effective optimization methods is becoming more urgent than ever. Metaheuristic algorithms with high convergence and processing speed open up new horizons for solving a variety of problems in various fields, from financial markets to scientific research. more...
Candlestick patterns are widely used across many different trading strategies and styles by most algorithmic traders in our community. However, our understanding of these patterns is limited to the candlesticks that we have uncovered, while in truth there may be many other profitable candlestick patterns we are simply not aware of yet. Due to the wealth of information covering most modern markets, it is materially challenging for traders to be confident that they are always using the most reliable ...
Mini-articles with technical and fundamental analysis on the way as forecasts and levels - https://www.mql5.com/en/channels/forecast
In the preceding article of this series, we delved into the process of sending chart snapshots with captions from MetaTrader 5 to Telegram. Our approach, while effective, was rather straightforward and somewhat inflexible. We chained together the components necessary to capture a screenshot, convert or encode it into a message-friendly form, and send it along to Telegram. Although this setup worked, it resulted in a fair bit of code that was repetitive and not all that manageable. So, what ...