Hey Product Hunt community! 👋 I’m Shahzad Anwar, the founder of StockSignal.io. The modern retail investing landscape is highly fragmented. Individual investors are often forced to choose between two extremes: over-simplified, gamified trading apps that encourage speculative behavior, or prohibitively expensive, legacy enterprise terminals designed strictly for institutions. We engineered StockSignal.io to bridge this gap. Our mission is to democratize institutional-grade quantitative frameworks, pairing them with an intuitive interface to promote genuine, data-backed financial literacy. The platform is completely free, built from the ground up to replace speculation with systematic discipline. Here is a look at the core architecture and features now live: 🔬 Simulation Lab: A zero-latency, risk-free paper trading environment to test, validate, and refine your market strategies. 🛡️ Advanced Risk & Tail-Risk Engines: Rather than relying solely on standard deviation, our models utilize Cornish-Fisher expansions to map non-Gaussian drawdown risks and stress-test assets against macroeconomic historical shocks. 💵 Cash Intelligence & Asset Allocation: Strategic tools designed to optimize cash drag, refine sector weightings, and maximize portfolio efficiency. 🏆 Decision Tracking (Investor Score): A proprietary performance metric that tracks your decision-making consistency and strategic discipline over time. 🧠 Krisztina AI: A highly sophisticated, conversational AI assistant designed to act as a grounded partner—cutting through market noise to translate complex quantitative data into clear, actionable fundamental insights. I am incredibly excited to share this launch with you all. I would highly value your feedback on our quantitative models, UX, or any feature requests you would like to see on our roadmap. What does your current portfolio optimization workflow look like? Let’s discuss in the comments below! 🚀

StockSignal.io

Learn the markets & analyze stocks with quantitative AI

Learn the markets & analyze stocks with quantitative AI