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AI-powered stock trading signals for 5,000+ stocks and 4,900+ ETFs. Real-time market analysis, multi-factor scoring, institutional-grade research, and automated portfolio optimization and much more.
Hey Product Hunt 👋
I'm Reza, founder of QuantLogix.
I built this because retail traders and institutions aren't playing the same game. Funds run regime detection, factor models, and ML ensembles across thousands of names every session. Retail gets charts and hope. The gap isn't intelligence — it's infrastructure.
QuantLogix closes it. Under the hood, five ML systems run in parallel: reinforcement learning agents trained across 1,000+ episodes, genetic algorithms evolving indicator weights, 1,967 per-stock LSTM models, a 636K-vector pattern memory with sub-10ms lookup, and a self-assessment loop that adjusts model trust daily. HMM regime detection, walk-forward backtested signals, no curve-fitting.
That engine powers a 5-factor composite score (technical, momentum, fundamental, options, microstructure) across 5,000+ stocks and 4,900+ ETFs — delivered as specific signals with confidence levels and 5-day win-rate predictions.
What's on the platform today:
• Live signal scanner with GICS sector rotation and relative strength
• AI due diligence reports with SWOT, financial modeling, and PDF export
• Options analytics — unusual activity, GEX, flow, IV, Greeks, earnings implied move
• Company network graph: 5,000+ companies, 16,000+ supply chain and partnership links (Bloomberg RELS territory)
• What-if backtester with 10+ years of split-adjusted data, Sharpe, drawdown, SPY/QQQ benchmarking
• Trade journaling with behavioral tags (planned / FOMO / disciplined / emotional)
• Plaid brokerage integration — auto-import from Schwab, Fidelity, Robinhood, Chase
• Macro sentiment from 7 FRED indicators, sector heatmap, live news with per-ticker sentiment
• Signals delivered to dashboard, Telegram, Discord, or your own REST API
I'd genuinely love your feedback—especially from anyone who's tried to trade systematically and hit the same infrastructure wall I did. What's the one piece of institutional tooling you most wish retail had?
— Reza
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About QuantLogix on Product Hunt
“Smarter Trading Starts with AI-Powered Signals”
QuantLogix was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #142 on the daily leaderboard. AI-powered stock trading signals for 5,000+ stocks and 4,900+ ETFs. Real-time market analysis, multi-factor scoring, institutional-grade research, and automated portfolio optimization and much more.
QuantLogix was featured in Fintech (47k followers), Investing (26.6k followers) and Tech (624.1k followers) on Product Hunt. Together, these topics include over 186.1k products, making this a competitive space to launch in.
Who hunted QuantLogix?
QuantLogix was hunted by Reza Movafaghi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how QuantLogix stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Reza Movafaghi