| | --- |
| | license: apache-2.0 |
| | task_categories: |
| | - time-series-forecasting |
| | - text-classification |
| | tags: |
| | - finance |
| | - stock-trading |
| | - llm |
| | - backtesting |
| | pretty_name: FINSABER Data |
| | size_categories: |
| | - 10B<n<100B |
| | --- |
| | |
| | # FINSABER Data |
| |
|
| | Aggregated datasets for the [FINSABER](https://github.com/waylonli/FINSABER) backtesting framework (KDD 2026). |
| |
|
| | ## Files |
| |
|
| | | File | Description | Size | |
| | | :--- | :--- | :--- | |
| | | `data/finmem_data/stock_data_sp500_2000_2024.pkl` | S&P500 full aggregated data (Price + News + Filings) | ~11 GB | |
| | | `data/finmem_data/stock_data_cherrypick_2000_2024.pkl` | Selected symbols (TSLA, AMZN, MSFT, NFLX, COIN) | ~53 MB | |
| | | `data/price/all_sp500_prices_2000_2024_delisted_include.csv` | CSV price-only data for S&P500 (including delisted) | ~253 MB | |
| |
|
| | ## Aggregated Data Structure (`.pkl`) |
| |
|
| | Each `.pkl` file is a Python dictionary keyed by `datetime.date`: |
| |
|
| | ```python |
| | { |
| | datetime.date(2024, 1, 2): { |
| | "price": { |
| | "AAPL": { |
| | "open": 187.15, |
| | "high": 188.44, |
| | "low": 183.89, |
| | "close": 185.64, |
| | "adjusted_close": 185.3, |
| | "volume": 82488700 |
| | }, |
| | ... |
| | }, |
| | "news": { |
| | "AAPL": ["headline 1", "headline 2", ...], |
| | ... |
| | }, |
| | "filing_k": { |
| | "AAPL": "10-K filing text...", |
| | ... |
| | }, |
| | "filing_q": { |
| | "AAPL": "10-Q filing text...", |
| | ... |
| | } |
| | }, |
| | ... |
| | } |
| | ``` |
| |
|
| | ## CSV Price Data Structure |
| |
|
| | | Column | Description | |
| | | :--- | :--- | |
| | | `date` | Trading date | |
| | | `symbol` | Ticker symbol | |
| | | `open` | Opening price | |
| | | `high` | Highest price | |
| | | `low` | Lowest price | |
| | | `close` | Closing price | |
| | | `adjusted_close` | Adjusted closing price | |
| | | `volume` | Trading volume | |
| |
|
| | ## Usage |
| |
|
| | Datasets are auto-downloaded when running FINSABER experiments. See the [FINSABER repo](https://github.com/waylonli/FINSABER) for details. |
| |
|