Polymarket Market Features
Liquid Polymarket prediction markets with engineered features: YES probability, momentum (1h/24h/7d), volume acceleration, spreads, time-to-resolution, belief volatility, 24h trade flow, and complete price histories for backtesting. Covers 3,181 active markets (trailing 31d hourly history) and 599 historical resolved markets (full-lifespan daily history with binary outcomes).
- Source
- Polymarket
- Rows
- 3,780
- Columns
- 48
- Source cadence
- Daily
- Last refreshed
- Sep 25, 2026
- Theme
- finance
| Column | Type | Description |
|---|---|---|
| market_id | string | — |
| event_id | string | — |
| event_title | string | — |
| market_question | string | — |
| market_slug | string | — |
| event_slug | string | — |
| category | string | — |
| status | string | — |
| prob_yes | float | — |
| best_bid | float | — |
| best_ask | float | — |
| spread | float | — |
| rel_spread | float | — |
| volume | float | — |
| liquidity | float | — |
| volume_24h | float | — |
| volume_7d | float | — |
| mom_1h | float | — |
| mom_24h | float | — |
| mom_7d | float | — |
| volume_accel | float | — |
| days_to_resolution | float | — |
| resolution_proximity | float | — |
| favorite_strength | float | — |
| longshot | integer | — |
| belief_volatility | float | — |
| prob_range_7d | float | — |
| trade_count_24h | float | — |
| trade_censored_24h | float | — |
| vwap_prob_24h | float | — |
| buy_imbalance_24h | float | — |
| sib_n | integer | — |
| sib_yes_sum | float | — |
| event_neg_risk | boolean | — |
| uma_disputed | boolean | — |
| comment_count | integer | — |
| outcome | float | — |
| brier_7d | float | — |
| prob_path_max | float | — |
| prob_path_min | float | — |
| days_active | float | — |
| market_url | string | — |
| price_history_json | string | — |
| price_history_points | integer | — |
| price_history_start | string | — |
| price_history_end | string | — |
| history_fidelity_minutes | integer | — |
| history_scope | string | — |
- Current
20260925T072423Z-8ec7656bcfd2 · sha256 8ec7656bcfd2…
3,780 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/polymarket/polymarket_market_features" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/polymarket/polymarket_market_features").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/polymarket/polymarket_market_features
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260925T072423Z-8ec7656bcfd2 and its content hash, so readers get exactly the data you used.
Polymarket. (2026). Polymarket Market Features [Data set, snapshot 20260925T072423Z-8ec7656bcfd2, sha256 8ec7656bcfd2]. Datazimuts. Retrieved 2026-09-25, from https://datazimuts.com/en/datasets/polymarket/polymarket_market_features?snapshot=20260925T072423Z-8ec7656bcfd2
@misc{dz_polymarket_polymarket_market_features_8ec7656b,
title = {{Polymarket Market Features}},
author = {{Polymarket}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/polymarket/polymarket_market_features?snapshot=20260925T072423Z-8ec7656bcfd2}},
note = {Snapshot 20260925T072423Z-8ec7656bcfd2, sha256 8ec7656bcfd2daa89ae94712c7e993b3c0bab7769c985ad6584749da950220a7; accessed 2026-09-25}
}Embed a table or a chart
Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.
<iframe src="https://datazimuts.com/embed/chart?dataset=polymarket%2Fpolymarket_market_features&lang=en&theme=auto&snapshot=20260925T072423Z-8ec7656bcfd2&x=market_id&y=prob_yes&agg=avg" title="Polymarket Market Features" width="100%" height="380" style="border:0" loading="lazy"></iframe>
Ask about this dataset. Answers come only from its catalog record, measured profile and change history, and list the facts they used.