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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 Quoted Spreads by Recorded Top-of-Book Liquidity

A dated two-day Kalshi study buckets 553,843 sampled quotes by recorded best-level notional. These are liquidity buckets, not order-size or fill-cost tests.

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 L2 Depth and Trade Data: A Reproducible Sample Check

A practical guide to ZenHodl's recorded Kalshi L2 depth and deduplicated trade prints: what the fields mean, what the sample checks, and the hard limits.

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–Kalshi Lead-Lag: A Sampled MLB Study

Corrected Oct 2026: a five-sport study reverses this MLB study's 32-second direction, and 1-second data shows the venues move within ~1 s.

polymarket kalshi market-microstructure

Historical Polymarket and Kalshi Data: A Buyer’s Guide

Compare official history, free recorded books and ZenHodl archives. Check dates, depth, clocks, matching rules and license before choosing data.

polymarket kalshi market-microstructure

Polymarket and Kalshi Depth: A Short MLB Capture Study

A June 2026 MLB capture reported similar quoted spreads and different recorded depth. Review the sample limits, level cap and statistical interpretation.

polymarket kalshi market-microstructure

Polymarket and Kalshi Price Discovery: A Three-Day Pilot

Corrected Oct 2026: a larger five-sport study reverses this June pilot's 32-second direction; 1-second data shows the venues move within ~1 s.

polymarket kalshi market-microstructure

How to Get Historical Polymarket Order Book Data

Find recorded Polymarket books through official data, free archives or paid files. Check the exact fields, clocks, captured window and gaps first.

polymarket market-microstructure debugging

Fix Polymarket order_version_mismatch in Python

Diagnose Polymarket order_version_mismatch in Python: inspect SDK release, market identifier/signing route, wallet signature type and funder; separate CTF...

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? How Combos Actually Settle

Kalshi combos are dedicated markets priced through RFQs. Learn joint-probability math, product-of-leg settlement and why a DNP is not automatically a refund.

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...