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README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - tabular-classification
+  - time-series-forecasting
+tags:
+  - prediction-markets
+  - kalshi
+  - finance
+  - trading
+  - event-contracts
+size_categories:
+  - 100M<n<1B
+---
+
+# Kalshi Prediction Market Trades & Markets
+
+Complete public trade-level and market-level data from [Kalshi](https://kalshi.com), the first CFTC-regulated prediction market exchange in the United States.
+
+## Dataset Summary
+
+| | Count | Timespan |
+|---|---|---|
+| **Trades** | 154,505,005 | June 2021 – January 2026 |
+| **Markets** | 17,464,713 | June 2021 – January 2026 |
+| **Events** | 4,721,915 | |
+| **Total contracts traded** | 34.6 billion | |
+
+## Data Files
+
+### `trades/`
+
+16 parquet shards (~10M rows each), sorted by `created_time`.
+
+| Column | Type | Description |
+|---|---|---|
+| `trade_id` | string | Unique trade identifier |
+| `ticker` | string | Market ticker (joins to `markets.ticker`) |
+| `count` | int64 | Number of contracts in the trade |
+| `yes_price` | int64 | Price of YES contracts (1–99 cents) |
+| `no_price` | int64 | Price of NO contracts (1–99 cents) |
+| `taker_side` | string | Side the taker bought: `yes` or `no` |
+| `created_time` | timestamp[us, UTC] | When the trade occurred |
+
+### `markets/`
+
+4 parquet shards (~5M rows each).
+
+| Column | Type | Description |
+|---|---|---|
+| `ticker` | string | Unique market ticker |
+| `event_ticker` | string | Parent event ticker (groups related markets) |
+| `market_type` | string | Market type (e.g. `binary`) |
+| `title` | string | Human-readable market title |
+| `yes_sub_title` | string | Label for the YES side |
+| `no_sub_title` | string | Label for the NO side |
+| `status` | string | Market status: `settled`, `closed`, `active`, etc. |
+| `yes_bid` | int64 | Best YES bid at time of fetch |
+| `yes_ask` | int64 | Best YES ask at time of fetch |
+| `no_bid` | int64 | Best NO bid at time of fetch |
+| `no_ask` | int64 | Best NO ask at time of fetch |
+| `last_price` | int64 | Last traded price |
+| `volume` | int64 | Lifetime volume (contracts) |
+| `volume_24h` | int64 | 24-hour volume |
+| `open_interest` | int64 | Open interest |
+| `result` | string | Resolution: `yes`, `no`, or empty if unresolved |
+| `created_time` | timestamp | When the market was created |
+| `open_time` | timestamp | When the market opened for trading |
+| `close_time` | timestamp | When the market closed |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("TrevorJS/kalshi-trades")
+
+# or with DuckDB
+import duckdb
+con = duckdb.connect()
+con.execute("SELECT * FROM 'hf://datasets/TrevorJS/kalshi-trades/trades/*.parquet' LIMIT 10")
+```
+
+## Data Quality
+
+- **0 duplicate trades** (21,950 duplicates removed during cleaning)
+- **0 null trade IDs or prices**
+- **100% trade-to-market join coverage** (64 orphan tickers with no API-available market record were removed; 1,258 trades dropped, <0.001% of dataset)
+- All timestamps are UTC
+
+## Provenance
+
+Trade data was collected from the [Kalshi public API](https://trading-api.readme.io/reference/getmarkettrades). Market metadata was backfilled using the `/markets` batch ticker endpoint. The dataset combines data originally collected by [Andrew Becker](https://huggingface.co/datasets/andrewbecker/kalshi_trades) (June 2021 – November 2025) with an incremental update through January 2026.
+
+## Acknowledgments
+
+- [Andrew Becker](https://huggingface.co/andrewbecker) for the original `kalshi_trades` dataset and collection infrastructure
+- [Kalshi](https://kalshi.com) for providing a public API
+
+## License
+
+CC-BY-4.0