I did this over today and it went a lot better then the first time.

Hi everyone! I’m from Pakistan and I’ve been involved in trading for around 10 years, while also working professionally in HR within the power sector. I joined ZeroOne because I’m particularly interested in the intersection of AI, automation, and algorithmic trading. I already have a working EA for MetaTrader 5, and I’m now exploring a much more ambitious idea: integrating an AI layer directly into the system. The goal isn’t simply to have AI generate trading signals. I’m interested in building a system where the AI observes the EA’s behaviour over time, analyses its trades, market conditions, performance, drawdowns, failures and successes, and gradually learns where the EA performs well or poorly. Eventually, I’d like the AI to be able to intelligently adjust certain parameters or even modify parts of the EA’s strategy based on what it has learned—while operating within strict rules, risk limits, testing environments and human oversight. In other words, I’m imagining an EA that doesn’t remain completely static, but becomes an adaptive system that continuously learns from its own behaviour and the market environment. I’m still exploring the architecture and the right way to approach this, so I’d love to hear from people here who have experience with AI agents, autonomous systems, reinforcement learning, algorithmic trading, or self-improving software. Looking forward to learning from everyone here and hopefully building something interesting together.

Who watched/attended live THE BIG EVENT by Lewis? I think this community could give some honest feedback. 💰What were the expectations? 🤖What were the thoughts during the event? 👉🏼Have you stayed till the end? What do you think overall about Louis' big event?😉 Let's be transparent. I think that feedback, good or bad, is always valuable for the creator themselves.

Ranked by priority score — highest to lowest: 1. Portfolio Workflow Optimization & Internal Tooling Development — Score: 20 2. Primary Source Research & Technical Due Diligence — Score: 20 3. Financial Modeling & Dynamic Unit Economics Analysis — Score: 16 4. Portfolio Monitoring & Continuous Governance — Score: 16 5. Thesis Refinement & Stress-Testing — Score: 15 6. Supply Chain & Ecosystem Mapping — Score: 12 7. Expert Network Interviews & Ground-Truth Verification — Score: 12 8. Quantitative Screening & Alternative Data Pipeline Monitoring — Score: 12

Finish with How AI Actually Thinks, This was good to learn.