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tradinGod

85% Accuracy. 6 AI Agents. God-Level Stock Intelligence.

Most stock tools give you charts and hope. tradinGod gives you a verdict — BUY, HOLD, or SELL — backed by 6 AI agents that debate each other, 21 real-time data streams (FII/DII flows, dark pool signals, sentiment), and 10,000 Monte Carlo simulations per stock. An adversarial agent stress-tests every thesis before consensus. Result? 85% backtested directional accuracy — outperforming top tier hedge funds. stocks and crypto. ₹500 per analysis. No subscriptions. God-level intelligence.

Top comment

Hey Product Hunt! 👋 I built tradinGod because I was tired of losing money the same way every retail investor does — buying on hype, selling on panic, and realizing the "smart money" had already moved weeks before I even saw the signal. The problem is simple: institutional investors have teams of analysts, real-time data terminals, quant models, and risk systems. Retail investors have... YouTube tips and gut feelings. The information asymmetry is brutal. By the time a stock tip reaches you, the edge is already gone. I wanted to fix that. Not with another charting tool or screener — the world has enough of those. I wanted to build something that actually THINKS about a stock the way a hedge fund's research desk does, and gives you one clear answer: BUY, HOLD, or SELL. So I built a system where 6 specialized AI agents independently analyze every stock — fundamentals, technicals, sentiment, institutional money flows, risk — and then an adversarial agent challenges all of them, poking holes in the thesis, stress-testing the logic. They debate. They disagree. And only after consensus do you get a verdict with a conviction score. On top of that, 10,000 Monte Carlo simulations run per stock to map out probability distributions of where the price could go. 21 real-time data streams feed the system — from FII/DII flows to dark pool signals to order book depth. The result: 85% backtested directional accuracy. That's not a marketing number — that's what the system actually delivered across hundreds of backtested analyses. How it evolved: I started with a simple single-model approach. It was ~60% accurate — barely better than a coin flip. Then I added the multi-agent architecture, and accuracy jumped to 72%. The real breakthrough came when I added the adversarial debate layer — agents challenging each other eliminated overconfident calls and pushed accuracy to 85%. The system literally argues with itself before telling you anything. Currently live for all major stocks and crypto, with global market expansion planned. Pricing is intentionally simple: ₹500 (~$6) per stock analysis. No subscriptions forced. You pay only when you want intelligence. I'd love your feedback — especially on the analysis report depth and the multi-agent approach. Tear it apart. That's how it gets better. 🔱