Stokestox

Stokestox

Score stock portfolios in seconds

Q
@quantumainvesting
Published on Jun 9, 2026
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Pricing
Freemium

About Stokestox

Hi PeerPush! 👋 I’m Michael. I’m a mathematics professor, a retail trader of 20+ years, and the solo developer behind StokeStox. For two decades, I traded my own accounts and kept hitting the same wall. Despite my math background, I was frustrated by retail tools that felt like black boxes—either noisy sentiment trackers chasing social media hype or technical analysis that didn't hold up out-of-sample. I knew institutional-grade math existed—I teach it—but there was no clean way to apply strict quantitative machine learning to daily trading. I actually lost followers on X when I shifted from "entertainment" to this deep math approach. But that's okay—I'm looking for the investors and wealth managers who care about Alpha, not hype. 🧠 Under the Hood: I built custom ensemble ML models (LightGBM/XGBoost) that calculate a strict 0-100 score for thousands of stocks based on years of financial data, backtested with realistic slippage. Because data without context is just noise, I’ve integrated Gemini directly into the engine. You can actually chat with your portfolio to understand the "why" behind the movement through Explainable AI (xAI). 💼 For Investors & RIAs: StokeStox bridges the gap between active retail strategy and professional wealth management. The engine handles deep factor breakdowns and natively generates professional client risk audit reports to satisfy compliance, protect capital, and make risk mitigation clear for fiduciaries. 🛠️ The Stack: Built solo using React/Vite and Firebase for a snappy frontend, with Python (Pandas/Scikit-learn) handling the heavy ML pipelines and institutional data feeds. 🎯 Why I’m here: I want to see if this holds up in the wild. I’m looking for data-driven traders, developers, and RIAs to battle-test this engine. Go score your portfolios, run the AI Analyst, and honestly... try to break the system. 🎁 PP Special: The scanner and basic scoring are free. For Active Investors: Use code FOUNDER40 at checkout for 40% off Pro access for 3 months to unlock full factor breakdowns and 250,000 AI tokens/month. For RIAs & Wealth Managers: Comment below or message me directly, and I will set your firm up with 3 months of completely free premium access to run client risk audits. I’ll be here all day to geek out over quant math, trading, and Node.js architecture. Let me know what you think!

Product Insights

Stokestox combines machine learning ensembles with generative AI to offer quantitative portfolio scoring and risk factor analysis on a cross-platform web interface. It delivers institutional-grade mathematical models and explainable AI to bridge the gap between active trading and professional wealth management.

  • Utilizes custom LightGBM and XGBoost models for strict 0-100 quantitative scoring.
  • Integrated Gemini-powered AI analyst for explainable factor breakdowns and portfolio chat.
  • Native generation of professional risk audit reports for fiduciary compliance.
  • Accessible across web, desktop, and mobile platforms with a freemium pricing model.

Ideal for: Traders, Financial Planners, and Financial Analysts can use this tool for backtested stock scoring and professional client risk audits.

Stokestox is listed alongside alternatives such as Tessera Alpha and Stock Rover.

Discount Codes

40% OFF for 3 MONTHS!(-40% OFF)

Valid until Jun 30, 2026

Product Video

Watch a video demo of Stokestox.

Screenshots

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Reviews (1)

Average 5.0 out of 5

5.0

Based on 1 review

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Great way to get a quality rating on stocks based on performance history

Comments (1)

Q

Advanced quant tool with ML stock scoring & explainable AI for investors & RIAs. Instantly generate professional client risk reports to protect capital. Sign up for 3 months free for RIA firms!