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Market Microstructure Articles

17 posts tagged “market microstructure”.

kalshi volume market-microstructure

Reading Kalshi's Sports Volume: Notional vs. Cash

ZenHodl: $3.12B headline notional vs $1.48B taker cash across 15,808,966 Kalshi sports prints we captured (May 15 - Sep 6, 2026).

historical-data data-quality kalshi

How to Detect Capture Gaps in Historical Data: A Buyer's Guide

Learn a four-step audit to find capture gaps in any market-data archive: derive coverage, dark time and cadence from the rows, not the README.

kalshi historical-data market-microstructure

First Insight: What's In the $9 Kalshi Microstructure Tryout

Recount the $9 Kalshi tryout's pinned release and explore recorded spreads, book changes and taker flow, with clear clock and coverage limits.

kalshi polymarket market-microstructure

Kalshi Bid-Ask Spreads by Trade Size (and How Polymarket Compares)

See how Kalshi's quoted spread changes with the liquidity behind the quote, across 553,843 order-book snapshots — and why depth beats spread.

kalshi historical-data tennis

Per-Sport Kalshi Order-Book Slices: Buy Just the Tennis (or MLB, or WNBA, or Esports) You Need

Buy just the Kalshi order-book slice you study: ATP/WTA/ITF tennis, MLB, WNBA, or LoL/CS2 esports — $39 each, same live capture as the full tape.

kalshi historical-data market-microstructure

Kalshi Doesn't Keep Its Order-Book History. We Recorded It — Depth and Trade Tape Together

Kalshi L2 depth (up to 20 levels/side) plus a deduplicated trade tape with taker side, from a venue that doesn't retain its book — sold as dated vintages...

soccer polymarket historical-data

We Recorded the World Cup Final's Order Book — The Historical Snapshot Archive

L2 depth for the first 48-team World Cup final: 1.01M rows on Spain vs. Argentina, 20.8M across 47 matches — including which we lost. $39.

polymarket kalshi market-microstructure

Polymarket Leads Kalshi by ~30 Seconds: A Lead-Lag Study on Time-Aligned MLB Order Books

We time-aligned sampled Kalshi and Polymarket books on the same MLB games for 16 days. Polymarket led on all 16 and divergences half-closed in ~34...

polymarket kalshi market-microstructure

Where to Get Historical Polymarket & Kalshi Order-Book Data (2026): An Honest Comparison

Vendor-neutral 2026 buyer's guide to historical Polymarket and Kalshi order-book data: capture it yourself or buy — what each vendor has, what it costs.

polymarket kalshi market-microstructure

The Spread Lies: Polymarket and Kalshi Both Quote 1¢, but One Book Is ~15× Deeper

A quoted bid-ask spread tells you almost nothing about how much size a prediction market can actually absorb. Using live-captured Level-2 depth from...

polymarket kalshi market-microstructure

Who Sets the Price? Polymarket Moves First, Kalshi Follows

When the same game trades on Polymarket and Kalshi, which venue leads price discovery? Using a live-captured matched book of MLB games on both venues...

polymarket kalshi market-microstructure

How to Get Historical Polymarket Order Book Data

Polymarket's API gives you trades but not historical depth, and the book can't be rebuilt after the fact. Your real options for order-book history.

polymarket market-microstructure debugging

Fix Polymarket order_version_mismatch in Python

Fix Polymarket order_version_mismatch after the CLOB V2 cutover: install py-clob-client-v2, use the right wallet signature type and funder, and stop...

polymarket api reference

Polymarket API Docs: CLOB, Gamma, Python Gotchas

Learn the Polymarket API in practice: CLOB V2, Gamma, Data API, WebSocket streams, wallet signing, per-market fees, and common Python errors.

kalshi sports-betting market-microstructure

Can You Parlay on Kalshi? Combo Markets Explained

Learn how Kalshi's multivariate combo markets work like parlays, how to find them via the API, and how they differ from sportsbook parlays.

polymarket prediction-markets market-microstructure

Polymarket Fees Explained: Maker, Taker, and the CLOB Fee Schedule in 2026

Learn how Polymarket CLOB V2 fees work: per-market taker fees, zero maker fees, rebates, the fee curve, Polygon gas, and breakeven edge.

trading market-microstructure backtesting

99% of Your Backtested Edge Doesn't Exist: Execution Quality on Prediction Markets

We backtested 237 trade signals with and without execution constraints. 99% of theoretical profit vanished. Here's what actually kills your trades — and...