Guides & resources
Resources
Practical guides on prediction-market data: APIs, order books, wallet analytics, settlement and execution-aware backtesting.
All guides
34 guides, by topic
July 2026
Jul 17, 20268 min read
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.
Jul 17, 20269 min read
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.
Jul 17, 20268 min read
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.
Jul 17, 20269 min read
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.
Jul 21, 20266 min read
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.
Jul 21, 20266 min read
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.
Jul 21, 20266 min read
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.
Jul 26, 202613 min read
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.
Jul 26, 202615 min read
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.
Jul 6, 20267 min read
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.
Jul 6, 20269 min read
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.
Jul 26, 20269 min read
Free vs Paid Polymarket Data: What Each Source Actually Contains
Most people asking what Polymarket data costs are really asking a narrower question: will the free sources answer my question, or will they quietly fail on it? That depends almost entirely on whether your question involves the order book.
Jul 26, 20268 min read
Slippage on Kalshi: Why Your Fill Was Worse Than the Price You Saw
Slippage is not a Kalshi quirk and it is not a bug. It is what happens when the size you wanted was larger than the size resting at the price you were looking at — and on a market quoted from 0 to 1, a single tick costs proportionally more than almost anywhere else you have traded.
Jul 24, 202610 min read
Prediction Market API Comparison: What to Check 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.
Jul 27, 202610 min read
Polymarket API Guide: Where the Official Surface Ends and an Archive Begins
Polymarket exposes strong current-market interfaces. The architectural decision is where the official live surface ends and a continuously recorded historical book begins.
Jul 27, 202610 min read
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.
Jul 24, 20268 min read
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.
Jul 27, 202610 min read
Reconstruct Live Prediction Market Books: Seeds, Deltas and Reconnects
A socket connection is easy. Maintaining a correct book through seeds, deltas, reconnects and venue-specific cadence is the actual engineering work.
Jul 24, 202610 min read
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.
Jul 24, 20268 min read
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.
Jul 24, 20268 min read
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.
Jul 24, 20269 min read
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.
Jul 24, 20268 min read
Kalshi Backtesting 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.
Jul 27, 202612 min read
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.
June 2026
Jun 21, 20269 min read
Polymarket Price Fields: A Complete Schema and Timestamp 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.
Jun 29, 20266 min read
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.
Jun 21, 20269 min read
How to Read Kalshi Prices: Yes/No Ladders, 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.
Jun 16, 20268 min read
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.
Jun 16, 20266 min read
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.
Jun 16, 20267 min read
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.
Jun 16, 20267 min read
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.
Jun 16, 20266 min read
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.
Jun 16, 20266 min read
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.
Jun 16, 20268 min read
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.
