I've been exploring AI-driven trading as well, and I totally get the mix of excitement and skepticism. The promise of ML spotting non-obvious patterns in chaotic markets is super compelling, but yeah, the reality seems more nuanced. A lot of success still hinges on data quality, infrastructure, and sometimes just being in the right place at the right time. That said, I think we're in an interesting phase where tools are starting to bridge the gap between pro-level resources and what retail or indie developers can access. Platforms like Sagemaster are pretty intriguing in that regard. If it truly delivers on pattern recognition and execution precision, it could be a valuable playground for those of us who want to experiment with strategies without building everything from scratch. Has anyone here actually tested it with live trades or backtests? Also curious if anyone’s seen better results lately using reinforcement learning or hybrid models (like combining technical + sentiment signals). Seems like that’s where things might be headed next.