Polymarket: Crypto-Based Prediction Market
Polymarket is one of the most active global prediction markets, where users trade on the outcome of real-world events using crypto. Each market is built around a simple question, and prices reflect the probability of each outcome based on real-time crowd sentiment. It’s widely used to track expectations around international politics, economics, and financial markets.
Short history
Polymarket launched as a crypto-native prediction market focused on real-world events.
Founded in 2020, Polymarket quickly gained traction by allowing users to trade on event outcomes using blockchain-based infrastructure. It became especially popular for markets around politics, macroeconomics, and crypto, where prices reflect real-time probabilities based on user activity. Despite regulatory challenges in the US, Polymarket continues to grow as one of the most active global prediction markets, generating valuable data on crowd expectations and event forecasting.
What Sets Polymarket Apart
Get Polymarket Data via FinFeedAPI
Check Our Prediction Market API:
Market listings & metadata
- List active markets currently open/trading on Polymarket
- List past markets (closed/resolved) on Polymarket
- Stable market_id identifiers suitable for storage + joins
- Market title + description (what the market is about)
- Outcomes (YES/NO and multi‑outcome where applicable) + market status (open/closed/resolved)
Polymarket Latest Market Activity
- Latest trade per market/outcome (price, size, timestamp)
- Latest top-of-book quote (best bid/ask + sizes)
- Latest price view suitable for UI “current probability” display
- Latest volume / activity signals as reflected in recent trades
- Timestamping fields to support ordering + latency checks (venue time / received time when available)
Polymarket Historical Trades and Quotes
- Full historical trade tape for custom UTC time ranges
- Trade fields for analysis: price, quantity/size, side, timestamp
- Supports replay-style analysis by walking trades through time
- Historical order book snapshots to reconstruct liquidity and market state
- Can be used to derive spread, depth, and order-flow proxies historically
OHLCV time-series
- OHLCV candles per market/outcome: open, high, low, close
- Per-candle volume_traded
- Per-candle trades_count
- Multiple supported timeframes/periods (based on available period set)
- Clean, consistent structure for charting + backtesting
Order Book and Market Depth
- Current order book snapshot (bids/asks)
- Multiple price levels with aggregated size at each level
- Easy extraction of best bid / best ask and spread
- Depth/liquidity analysis: how much size is available at/near the mid
- Historical order books (T+1) for slippage, execution-cost, and microstructure research