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Alternatives

Products that do what Interactive Volatility Surface does

Where Options Meet Spatial Intelligence

  1. 1IS

    OP here: I created this visualization tool as the byproduct of a supply chain class I taught at Columbia. The pedagogical exercise grew into a full blown visualization and paper about global oil trade. The model: The mechanics are the same as the financial network Eisenberg-Noe: Instead of banks, every country consumes oil interconnected via bilateral trading. Shocks propagate throughout the network, depleting oil reserves when bottleneck nodes (such as the Strait of Hormuz) are blocked. Insights: The interesting part is the mechanics of how the crisis unfolds: for example, France receives 0…

    Jul 2026 · globaloilnetwork.staffinganalytics.io

  2. 2

    Ask complex finance questions, get AI-grounded answers

    Apr 2026 · google.com

  3. 3
    Pluto166

    AI copilot for investing, automations, and data viz

    2023

  4. 4

    A community of stock traders.

    2018

  5. 5

    Your algorithmic investing platform

    2014

  6. 6AP

    We’re thrilled to announce the launch of our AI-powered stock market analyst chatbot, designed to help you analyze stocks and gain valuable market insights with ease. Our intuitive conversational chat interface makes it simple for anyone to get started. Why You’ll Love It: Our AI Analyst uses a long-term value-growth investing strategy, similar to those employed by legendary investors like Warren Buffett, Mohnish Pabrai, Phil Town and Charlie Munger. It’s built to provide you with thorough, data-driven analysis to help you make informed investment decisions. Key Features: - Comprehensive…

    2024 · decodeinvesting.com

  7. 7MA

    I built this simulator to study how simple trading agents interacting with an order book can create emergent patterns—volatility, clustering, even chaos—without any external shocks. It’s meant as both a research toy and teaching tool. You can run different strategies, adjust configs, and watch dynamics evolve. Curious to hear feedback from the HN crowd on features/dynamics you’d like to see added.

    2025 · aitradingsim.com

  8. 8TC

    Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!

    Jun 2026 · atomprophet.io

  9. 9

    Your AI Co-pilot for Options Strategy & Deep Research

    28d ago · thetamind.ai

  10. 10OS
  11. 11IB

    I built a web page that aggregates data about data center buildup, sovereign fund investments into AI and bottlenecks. The objective is to predict AI race cooldown by looking at a potential decrease of activity involving these elements. The website looks at the quarterly forms from the 5 biggest hyperscalers and adds their CapEx into the mix, calculating a composite index in the end showing how likely it is for the AI race to slow down. Enjoy!

    Jul 2026 · laurentiugabriel.github.io

  12. 12SO

    Hey HN, I’m Dan. I’ve been working on forecasting for the last six years at Google, then Metaculus, and now at FutureSearch. For a long time, I thought prediction markets, “superforecasting”, and AI forecasting techniques had nothing to say about the stock market. Stock prices already reflect the collective wisdom of investors. The stock market is basically a prediction market already. Recently, though, AI forecasting has gotten competitive with human forecasters. And we’ve found a way of modeling long-term company outcomes that is amenable to our forecasting approach. Iteration by…

    Nov 2025

  13. 13

    Sensei-Driven Options Intelligence

    Feb 2026

  14. 14

    Describe your options strategy. See if it actually works.

    Jun 2026 · btoption.com

  15. 15AP

    I made a lightweight web game about compute CAPEX tradeoffs: https://darios-dilemma.up.railway.app/ No signup, runs on mobile/desktop. Loop per round: 1. choose compute capacity 2. forecast demand 3. allocate capacity between training and inference 4. random demand shock resolves outcome You can end profitable, cash constrained, or bankrupt depending on allocation + forecast error. Goal was to make the decision surface intuitive in 2–3 minutes per run. It’s a toy model and deliberately omits many real world factors. Note: this is based on what I learned after listening to…

    Feb 2026 · darios-dilemma.up.railway.app

  16. 16PA
  17. 17

    Institutional Flow, Decoded for Retail Traders

    Jun 2026 · scanedge.ai

  18. 18

    AI Options Trader

    Jan 2026

  19. 19

    Your AI copilot for smarter stock investing

    Jan 2026

  20. 20
    Epoch7

    Quantitative co-pilot for institutional traders

    Jan 2026

  21. 21FE
  22. 22BC
  23. 23QF

    Hi Y'all, for those interested in trading using quantitative finance ideas, I'm open sourcing the software I made in the past 10+ years along with a series of tutorials on YouTube which gradually introduce the concepts. It's work in progress, for now I covered the foundations (stock price movements, option valuation, the arbitrage idea and the replication technique). Next I'll introduce how to import historical market data for stocks and options along with where you can buy it for a reasonable price (you can't find free historical options data) and some basic cleanup techniques because it…

    2024 · aquarianz.com

  24. 24
    v2Free2

    Algorithmic trading

    Feb 2026

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