Daniel Keyes

Here’s the OHLCV chart behind the example 👇

Prediction markets are interesting. But the real unlock is being able to query them like structured data. Here’s how I used our Prediction Markets API to find a live market signal 👇

I wrote up the launch + examples here: blog.pinax.network/pinax/api/intr…

The broader point: Prediction markets are becoming a real-time signal layer. The API makes that signal queryable.

Step 2: pick a market with a live question. One example: “Will Trump acquire Greenland before 2027?” High volume, still active, and easy to understand. That matters because not every high-volume market is useful for analysis.

Step 1: discover active markets. I started with: GET /v1/polymarket/markets Sorted by volume, filtered for active markets. This gives you the universe of markets worth looking at.

The convergence of prediction markets and trading platforms is going to expand the market for real-time data infrastructure. As these products move closer together, teams will need cleaner access to market state, positions, pricing, and historical context. That is a very good lane to be building in. 🌐

Polymarket is launching perps. Prediction markets are becoming trading platforms. Trading platforms are adding prediction market data. The line is gone. We've been building for this, coming soon.

We just launched an API for querying Polymarket data: markets, prices, activity, positions, and P&L Full breakdown + examples 👇 blog.pinax.network/pinax/api/intr…

Here’s what that move looked like 👇

Prediction markets are fading this scenario: On @Polymarket: 👉 “Will Trump acquire Greenland before 2027?” has dropped from ~9% → ~7% over the past ~10–12 days (~22% decline in implied probability)

We’ve been working on making this kind of data easier to query and analyze directly 👇 pinax.network/en/products/pr…

This is what makes prediction markets interesting: They don’t just reflect opinions —they reflect positions with capital behind them