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timestamp
timestamp[us, tz=UTC]date
2025-11-19 22:00:00
2026-05-19 21:00:00
platform_id
int64
1
3
market_id
int64
7
43.8M
open
float64
0
1
high
float64
0
1
low
float64
0
1
close
float64
0
1
volume
float64
0
1M
trade_count
int64
1
2.8k
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End of preview. Expand in Data Studio

Prediction Markets Dataset

Historical market metadata and 1-hour OHLCV candle data from two prediction market platforms: Polymarket and Manifold Markets. Collected and maintained by ImpliedData.

Files

File Description Rows
markets_metadata.parquet Full market catalog — titles, categories, statuses, dates ~8.2M
polymarket_ohlcv_1h_sample.parquet 1h OHLCV, top 70 Polymarket markets by volume, last 6 months ~80K
manifold_ohlcv_1h_sample.parquet 1h OHLCV, top 60 Manifold markets by volume, last 6 months ~50K

Note: markets_metadata.parquet includes Kalshi market titles and categories (publicly listed on their website) for research purposes. No Kalshi price or trade data is included in this release.

Schema

markets_metadata.parquet

All ~8.2M markets collected across platforms. No price data — catalog only.

Column Type Description
market_id string Platform-native identifier
title string Market question text
platform string polymarket, kalshi, or manifold
category string Topic category (politics, crypto, sports, etc.)
status string open, resolved, closed, or cancelled
resolution string Outcome if resolved — YES/NO or numeric
opened date Date the market was created
closes date Resolution date, if known
trader_count int Unique traders (null for a portion of markets)

*_ohlcv_1h_sample.parquet

One row per market per hour.

Column Type Description
timestamp datetime (UTC) Candle open time
market_id int Internal market ID — join with metadata via platform
platform_id int 1 = Polymarket, 3 = Manifold
open float Opening probability (0–1)
high float Highest probability in the hour
low float Lowest probability in the hour
close float Closing probability (0–1)
volume float Total traded volume in the hour
trade_count int Number of trades in the hour

Prices are implied probabilities, not dollar amounts. A value of 0.73 means the market was pricing the event at 73% probability at candle open.

Manifold: Uses play money, not real money. Prices reflect crowd probability estimates but the incentive structure differs from real-money markets. Volume is in Mana (MANA), not USD.

Platform coverage

Platform Markets Trade records Date range
Polymarket ~120K 14.8M Oct 2020 – present
Manifold ~111K 5.0M Feb 2023 – present

Loading the data

import pandas as pd

# Market catalog
markets = pd.read_parquet("markets_metadata.parquet")
print(f"{len(markets):,} markets")
print(markets.groupby("platform")["status"].value_counts())

# Polymarket OHLCV candles
candles = pd.read_parquet("polymarket_ohlcv_1h_sample.parquet")
candles["timestamp"] = pd.to_datetime(candles["timestamp"])

# Most active market in the sample
top_id = candles["market_id"].value_counts().index[0]
m = candles[candles["market_id"] == top_id].sort_values("timestamp")
print(m[["timestamp", "close", "volume"]].tail(20))
# Load via HuggingFace datasets library
from datasets import load_dataset

ds = load_dataset("ImpliedData/prediction-markets", data_files="polymarket_ohlcv_1h_sample.parquet")

Known limitations

  • OHLCV files cover ~130 markets total (top by trade volume). Low-volume markets are not in this release.
  • OHLCV date range is limited to the past 6 months. Full histories are available in the ImpliedData paid dataset.
  • trader_count is null for a significant share of markets.
  • Manifold data before February 2023 is sparse.

Full dataset

The complete dataset — all platforms, full trade history, intraday (1m/5m/15m) candles, and continuous updates — is available at implieddata.com.

Citation

@dataset{implieddata2026,
  title     = {ImpliedData Prediction Markets Dataset},
  author    = {ImpliedData},
  year      = {2026},
  url       = {https://huggingface.co/datasets/ImpliedData/prediction-markets},
  note      = {Historical trade data from Polymarket and Manifold Markets}
}

License

Underlying market data originates from Polymarket and Manifold Markets and is subject to each platform's terms of service. The schema, documentation, and normalisation methodology are the work of ImpliedData (implieddata.com). This dataset is made available for research purposes only.

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