video1.0<iframe src="https://www.loom.com/embed/b3f94d40d20b41a8b294671dc76858f1" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/b3f94d40d20b41a8b294671dc76858f1-161550f6d4df8721.gif644.554This Loom introduces an ambitious automated trading backtesting dashboard project built on GitHub. The author describes moving from paper trading and Python simulations to more accurate backtesting using MetaTrader MT5 strategy tester, with a UI to load strategies and run Monte Carlo tests and Monte Carlo duration guidance (for example, a thousand tests can take days on a laptop). They also discuss planned automation features including telegram notifications, supervised and automatic trading, and a cost optimizer influenced by prior work by Lewis and others. The author notes prop firm focused criteria, mentions the need for a high powered VPS or dedicated server, and emphasizes that some connectors are still under debugging.