Guides & resources

Prediction-market data, explained

Practical guides on the data behind Binance, Polymarket and Kalshi — wallet analytics, trader research, market settlement, order books, and backtesting against recorded liquidity instead of a last price.

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Data API and backtesting essentials

These guides cover the queries where the latest Decodo benchmark shows the clearest gaps: cross-venue API selection, official venue APIs, historical delivery, WebSocket state, and execution-aware bot testing.

Both venuesStrategy research

Prediction Market Arbitrage: Backtest Polymarket vs Kalshi

A price difference is only an arbitrage candidate. It becomes a testable trade after the contracts, decision time, displayed size, two-leg execution, fees and settlement paths are aligned.

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Both venuesBacktesting

Backtest Polymarket & Kalshi Strategies Without Writing Code

You should not need a data pipeline and a research notebook to find out whether an idea has an edge. The Backtest Lab runs the whole test in the browser, against the real recorded book.

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Both venuesAI backtesting

AI Prediction-Market Backtesting: Test LLM Strategies Without Future Leakage

An AI-generated strategy is not a backtest. The model, information boundary, decision protocol, portfolio state and executable fill all need to be controlled at the historical clock.

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Both venuesAPI comparison

Best Prediction Market Data APIs: What to Compare Before You Build

The best API is not the one with the longest endpoint list. It is the one whose history, timestamps, book depth and delivery model match the decision your system has to reproduce.

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PolymarketDeveloper guide

Polymarket API Guide: Live Markets, WebSockets and Historical Research

Polymarket exposes strong current-market interfaces. The architectural decision is where the official live surface ends and a continuously recorded historical book begins.

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KalshiDeveloper guide

Kalshi API Guide: Market Data, Historical Endpoints and Order Books

Kalshi's official API is a clean source for current exchange data. Historical execution research still depends on whether you retained the book before it changed.

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Both venuesRealtime data

Prediction Market WebSocket API: Reconstruct Live Books Safely

A socket connection is easy. Maintaining a correct book through seeds, deltas, reconnects and venue-specific cadence is the actual engineering work.

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Both venuesData engineering

Prediction Market Data Downloads: CSV, Parquet and API Exports

A downloadable dataset is useful only if its format preserves the evidence the analysis needs. Flattening a ladder into one price can make a small file and a dishonest backtest.

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Both venuesAutomation

Prediction Market Bot Backtesting: From Replay to Paper Trading

A bot is not validated because its signal predicted the right side. It is validated when the signal survives historical depth, costs, gaps and markets it has never seen.

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All guides

PolymarketWallet intelligence8 min

Polymarket Wallet Tracker: Analyze Public Wallets Before You Follow

A wallet's public profit is only the beginning. A useful tracker shows what it traded, what remains open, and whether the displayed market still offered a comparable fill after the trade became visible.

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PolymarketTrader analytics9 min

Polymarket Analytics: Wallet PnL, Positions and Execution Quality

Wallet analytics becomes useful when profit, exposure and timing are evaluated together—and when historical performance is separated from the price another trader could actually obtain.

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PolymarketLeaderboards8 min

Polymarket Leaderboard: How to Evaluate Top Traders and Wallets

The leaderboard is excellent for discovery and weak as a standalone trading signal. Here is how to turn a rank into a defensible wallet-research workflow.

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PolymarketCopy-trading research9 min

Polymarket Copy Trading: Test Whether a Wallet's Edge Survives

A profitable public wallet can still be impossible to reproduce. Before copying anything, measure the delay, price movement and size left in the next recorded order book.

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BinanceIntegration6 min

Binance Prediction Market API: Endpoints, Authentication and Coverage

A practical reference to the dedicated REST namespace for Binance Wallet prediction markets, including what each endpoint returns and where the historical record begins.

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BinanceHistorical data6 min

Historical Binance Prediction Market Data: What Exists and Since When

There are two different historical records: recoverable market metadata and forward-recorded resting liquidity. This guide marks the boundary between them.

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BinanceOrder books6 min

Binance Prediction Market Order-Book Data: Full L2, Cadence and Limits

Displayed probability is not an executable price. Full-L2 snapshots preserve the bids, asks and sizes required to model spread and slippage.

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PolymarketReference9 min

Polymarket Price Data: A Complete Reference

Polymarket price data is two series, not one — and the market's own price is only meaningful with the order book behind it. Here's the complete, first-hand reference.

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Both venuesIntegration6 min

Polymarket & Kalshi MCP Server: Give Claude, Cursor & Codex Live Market Data

An MCP server lets an AI agent pull live and historical prediction-market depth itself, mid-task. Here's how to add DepthFeed to Claude, Cursor, Codex, or ChatGPT — keyless to start.

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Both venuesPaper trading7 min

From Backtest to Paper Trading: Forward-Test Polymarket & Kalshi Strategies Live

A backtest is a claim about the past. Paper trading is where that claim meets markets that haven't happened yet — with virtual cash, real prices, and a track record you can't fake.

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Both venuesBacktesting9 min

How to Backtest Prediction-Market Strategies on Polymarket & Kalshi

Backtesting a prediction market is not backtesting a stock. The contracts settle to $0 or $1, the windows are minutes long, and the book is thin near the close. Here's how to do it honestly.

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KalshiReference9 min

Kalshi Price Data Explained: Yes/No Prices, Series, and Depth

Kalshi prices are probabilities, quoted yes and no. Here's how to read them straight from the book — and how the series, windows, and depth fit together.

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PolymarketBacktesting8 min

How to Backtest Polymarket Strategies on the Order Book

A last price sampled once an hour can't tell you whether your order would have filled. Here's how to backtest Polymarket against the book it would actually have traded against.

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PolymarketData quality6 min

Polymarket CLOB WebSocket vs Hourly Archives: Why Resolution Decides Your Backtest

The difference between a Polymarket backtest you can trade on and one that lies is usually not how much data you have — it's how it was sampled.

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KalshiMarket mechanics7 min

How Kalshi Crypto Markets Settle: Reference Prices and What It Means for Your Data

Kalshi's crypto contracts are yes/no bets on where a reference price lands at a fixed time. Getting the data right around that moment is what makes a Kalshi backtest honest.

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PolymarketMarket mechanics7 min

How Polymarket Crypto Markets Settle: Price to Beat, Reference Prices, and Your Data

Polymarket's up/down crypto markets are bets on where the price lands at a fixed time, against a line set at the open. Getting the data right around that moment is what makes a Polymarket backtest honest.

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KalshiMarket mechanics6 min

Kalshi Crypto Market Windows and Series, Explained

Kalshi's crypto tickers look cryptic. Here's how the series map to market windows, and how to pull exactly the cadence you want.

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Both venuesData quality6 min

Order-Book Depth vs Last Price: Why Most Prediction-Market Backtests Lie

A last price is one number. The order book is the liquidity that number sits on top of. Backtests built on the first quietly inflate every result.

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Both venuesComparison8 min

Polymarket vs Kalshi Data: What's Actually Available, and How to Use Both

Polymarket and Kalshi look similar from the outside and expose very different data underneath. Here's the honest, per-venue breakdown.

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PolymarketSports data8 min

Polymarket Sports Data API: Markets, Live Books and Historical Depth

A Polymarket sports price is a tradable prediction-market outcome, not a sportsbook line. The API model should preserve the market, token and full ladder behind it.

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KalshiSports data8 min

Kalshi Sports Data API: Markets, Order Books and Historical Research

Kalshi sports markets use exchange contracts and yes/no books. A useful data API keeps that contract identity intact while adding history and game context.

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PolymarketAnalytics9 min

Polymarket Analytics Tools: Markets, Wallets and Execution Evidence

A dashboard becomes research when every headline number can be traced to a market, time range, public sample and executable book.

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KalshiAnalytics8 min

Kalshi Analytics Tools: Market Depth, History and Strategy Research

Useful Kalshi analytics connects the displayed probability to the yes/no ladder, the contract window and a replay that never sees settlement early.

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