# DRW - Crypto Market Prediction — Data

来源：https://www.kaggle.com/competitions/drw-crypto-market-prediction/data

采集时间：2026-10-19T06:28:07Z

In this competition, the dataset comprises minute-level historical data for the crypto market. Your challenge is to predict future crypto market price movements.

This is a community forecasting competition, and you can submit your predictions either as CSV files or through Kaggle Notebooks. For more details on using Kaggle Notebooks, refer to [this link](https://www.kaggle.com/docs/notebooks).

The public leaderboard during the competition will not be scored and serves only for authoring your model submissions using the public testing data. Once the active submission phase ends, we will update the private leaderboard using **more recent data**, and this will be used to determine the final team rankings.

## Files

## **train.parquet**  
The training dataset containing all historical market data along with the corresponding labels.  

- `timestamp`: The timestamp index representing the minute associated with each row.  
- `bid_qty`: The total quantity buyers are willing to purchase at the best (highest) bid price at the given timestamp.
- `ask_qty`: The total quantity sellers are offering to sell at the best (lowest) ask price at the given timestamp.
- `buy_qty`: The total trading quantity executed at the best ask price during the given minute.  
- `sell_qty`: The total trading quantity executed at the best bid price during the given minute.  
- `volume`: The total traded volume during the minute.  
- `X_{1,...,780}`: A set of anonymized market features derived from proprietary data sources.  
- `label`: The target variable representing the anonymized market price movement to be predicted.  

## **test.parquet**  
The test dataset has the same feature structure as train.parquet, with the following differences:  

- `timestamp`: To prevent future peeking, all timestamps are masked, shuffled, and replaced with a unique `ID`.
- `label`: All labels in the test set are set to 0.  

## **sample_submission.csv**  
A sample file demonstrating the expected submission format. Your submission must have the same number of rows as this sample file and follow its structure to be considered valid.