Explore the cosmic-inspired Big Bang-Big Crunch (BBBC) algorithm, a global optimization method that simplifies complex problem-solving for algorithmic traders and developers. Drawing parallels to cosmic phenomena, this method uses a dynamic population of candidates, adapting through chaotic exploration and focused refinement phases. Innovative implementation balances randomness with precise targeting, ensuring robust solutions. Despite impressive outcomes on standard benchmarks, deeper analysis reveals limitations due to its over-reliance on central optima. By revising the approach, we enhance objectivity, leading to true optimization results. Whether adjusting algorithm parameters or testing new strategies, BBBC offers an intriguing perspective on iterative problem-solving.

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The ongoing transition from SVN-based MQL5 Storage in MetaEditor to the Git version control with MQL5 Algo Forge offers increased flexibility, particularly through repository branching. Initially, a new repository was created, and a local development setup with Visual Studio Code was established. The archival of existing projects and preparation of the main branch facilitated structured project organization. Recent enhancements in MetaEditor now provide integrated support for Algo Forge, simplifying workflows previously reliant on external tools.

Crucially, the introduction of Shared Projects in MetaEditor resolves previous dilemmas regarding repository handling. The mql5 repository remains for traditional users, while other repositories are accessible via the Shared Projects folder. This enables seamless integration of separate libraries and project files....

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