# WAS Bitcoin CRASH predictable? — Data

来源：https://www.kaggle.com/competitions/bitcoin-crash-prediction/data

采集时间：2026-10-19T19:39:38Z

In this open competition, you'll use time series forecasting to predict the price of Bitcoin between November 1 and 20, 2021.

The training data includes the COMMODITIES, STOCK, INDEX and CURRENCIES folders containing CSV files with historical asset prices. Assets price are recorded **each day** in **$USD**. The recording of every assets ends on October 31, 2021 (hence we only have access to past covariates).

## Columns

Every CSV file has :
*   `Date` - current date
*   `Open` - the price from the first transaction of a business day
*   `High` - the highest price reached during the day
*   `Low` - the lowest price reached during the day
*   `Close` - the last price anyone paid for a share of that stock during a business day
*   `Adj Close` - Adjusted close is a stock's closing price that has been adjusted to account for any corporate actions, such as stock splits, dividends, or rights offerings, that may affect the stock price.
*   `Volume` - the number of shares or contracts traded during the day

*Keep in mind that some assets aren't trade during the weekend !*

## Main Files

*   **BTC-USD_train.csv** - Bitcoin price
*   **sample_submission.csv** - The file to fill with your Bitcoin price predictions from November 1 to 20, 2021.

## Folders

### COMMODITIES

*   **CORN.csv** - Corn price
*   **COTTON.csv** - Cotton price
*   **GOLD.csv** - Gold price
*   **OIL.csv** - Oil price
*   **SILVER.csv** - SI:CMX price

### CURRENCIES

*   **BCH-USD.csv** - Bitcoin Cash price
*   **BNB-USD.csv** - Binance Coin price
*   **DOGE-USD.csv** - Doge Coin price
*   **ETH-USD.csv** - Ethereum price
*   **EUR-USD.csv** - Euro price
*   **GBP-USD.csv** - Pound sterling price
*   **JPY-USD.csv** - Japanese Yen  price
*   **SOL-USD.csv** - Solana price

### INDEX

*   **ASX.csv** - ASX 200 (the top 200 publicly listed companies on the Australian Securities Exchange)
*   **CAC40.csv** - Benchmark index for the French stock market (the 40 most significant stocks among the 100 largest market caps on the Euronext Paris)
*   **DAX.csv** - Benchmark index for the German stock market (the 40 major German blue chip companies trading on the Frankfurt Stock Exchange)
*   **DJIA.csv** - Dow Jones Industrial Average (the 30 prominent companies listed on stock exchanges in the United States)
*   **HSI.csv** - Hang Seng Index (the 66 largest companies of the Hong Kong stock market)
*   **IBEX.csv** - IBerian IndEX (the 35 most liquid Spanish stocks traded in the Madrid Stock Exchange General Index)
*   **NDX.csv** - Nasdaq-100 (101 equity securities issued by 100 of the largest non-financial companies listed on the Nasdaq stock exchange)
*   **NKD.csv** - Nikkei 225 (the performance of 225 large, publicly owned companies in Japan from a wide array of industry sectors)
*   **SPX.csv** - Standard and Poor's 500 (the stock performance of 500 of the largest companies listed on stock exchanges in the United States)
*   **UKX.csv** - Financial Times Stock Exchange 100 Index (the 100 companies listed on the London Stock Exchange with the highest market capitalisation)

### STOCK

*   **AAPL.csv** - Apple stock price
*   **AMZN.csv** - Amazon stock price
*   **GOOG.csv** - Google stock price
*   **META.csv** - Meta (formerly Facebook) stock price
*   **MSFT.csv** - Microsoft stock price
*   **NKE.csv** - Nike stock price
*   **TSLA.csv** - Tesla stock price
*   **WMT.csv** - Walmart stock price