I’ve built a TradingView strategy I call AEE — Adaptive Edge Engine with Claude and ChatGPT. The current version on MNQ 5m is showing: - Net P&L: ~$2.76M (initial capital was $5000) - P&L (%): ~55,270% - Profit Factor: ~5.99 - Win Rate: ~75% - Max Drawdown: ~$1.3K (6%) - Trades: ~38K over entire history of MNQ The real breakthrough here wasn’t just “building a profitable strategy.” The key developing the full research and validation workflow using Claude and ChatGPT around the strategy. The workflow now includes: - TradingView strategy development - AI-assisted Pine Script review - Trade telemetry extraction - Session / grade / confidence / trigger analysis - Monte Carlo simulation - Apex-style (Prop Firm) pass/fail survival testing - Red-tail drawdown diagnostics - Daily/session risk analysis - Live execution testing through TradersPost One thing I learned very quickly...a TradingView backtest by itself is not enough. You also need to know: - What happens if you start trading at the worst historical point? - What happens with extra slippage and commissions? - What happens if the edge decays? - What happens if trades cluster badly? - Which sessions actually make the money? - Which signals quietly create drawdown? - Whether your live alerts match the strategy tester behavior? This is not a guarantee of future results, but it has been eye-opening to see how much better the process becomes when AI is used as a research partner instead of just a “write me a strategy” tool. The real value of AI here has been in: 1. Finding failure modes 2. Challenging assumptions 3. Comparing strategy variants 4. Building telemetry tools 5. Stress-testing the equity curve 6. Reducing random trial-and-error I’m now working on turning the Telemetry Analyzer + Monte Carlo Simulator into tools that other traders can use on their own TradingView strategy exports. Curious if anyone else here is using Claude, ChatGPT, or other LLMs this way, i.e., not just to generate code, but to build the full research, validation, and risk-analysis workflow around a strategy.

Hi everyone, I have built CoinPulse, a real-time crypto intelligence terminal for Robinhood traders, based on what I learned from the content for Day 1 and a few other Days after that. Robinhood has 70+ tradable cryptos, but no serious screener. CoinPulse scans them every 90 seconds and answers: * Which cryptos are moving right now? * Is the move real or just a pump & dump? * Is an entry still worth it? * What’s the target, stop, upside, downside, and potential Reward:Risk? * If the system blocks a trade, was that block actually correct? That last part is the real differentiator. CoinPulse tracks every prediction and every blocked signal across 5, 15, 30, and 60-minute windows. The system is configured to send iMessages for qualified setups. It shows whether each filter saved money or caused missed profit. So instead of guessing whether a rule is too strict, the system builds evidence over time. Current focus: * Robinhood crypto only * Long-only * No leverage * No margin * Paper/advisory mode first * Designed to avoid chasing momentum spikes Would love feedback from other traders/builders: is this something you’d use, test, or pay for?

Several members asked me if I had a URL for the crypto tool I had shared earlier this week in the community, so I pushed myself to turn the localhost version into a real web beta. It’s called CoinPulse:https://getcoinpulse.com It scans about 75 Robinhood-tradable cryptos every minute and tries to answer: What’s moving, why is it moving, and is it still worth reviewing — or am I already late? Current beta features: - Live crypto momentum dashboard - Buy / Watch / Wait / Avoid signal logic - Signal accuracy + target-hit tracking - “Why is it moving today?” context - Do Not Chase / blocker detection - Simple + Pro dashboard modes - Trading style presets - Optional SMS alerts - PulseBot, an AI chatbot that gives context-sensitive help and explains what you’re seeing No auto-trading and no brokerage connection (yet)... and no financial advice — just a research tool to help review crypto momentum setups more clearly.... made entirely based on the prompts shared by Lewis in different videos and inspired by the ideas of daily project updates posted by numerous members. Thank you Lewis and everyone! I’d love feedback from active crypto traders. What feels useful, what feels confusing, and what would make you actually use this daily? Please let me know. Thank you in advance to everyone for their inputs.

Thanks for the add. I have been trading stocks since 1990, options and futures since 2005. I was introduced to "probability-based" options trading in 2011. I wrote and published a book on Amazon (Introduction to Probability-Based Options Trading). In discovering the Markov Method on your videos, I have found Markov to be a great adjunct to what I coach others on. I using Claude Code to include Markov Method biases in my morning "Futures Briefing" I distribute to members. If you would like a copy, I am happy to add you to the distribution list. Thanks Lewis for great information.

In regard to auto trading, or placing trades how can we get Chat GPT - Open AI to do this? Would want to use the one-shot prompt for Claude Code and apply it to Tradeovate, which is the broker I would use on Trading View. Is anyone else trying to do this for Prop Firms?