|
--- |
|
dataset_info: |
|
features: |
|
- name: timestamp |
|
dtype: string |
|
- name: ticker |
|
dtype: string |
|
- name: open |
|
dtype: float64 |
|
- name: high |
|
dtype: float64 |
|
- name: low |
|
dtype: float64 |
|
- name: close |
|
dtype: float64 |
|
- name: volume |
|
dtype: int64 |
|
- name: source |
|
dtype: string |
|
- name: retreived |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 32020428 |
|
num_examples: 270846 |
|
download_size: 12429410 |
|
dataset_size: 32020428 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
license: gpl-3.0 |
|
task_categories: |
|
- time-series-forecasting |
|
pretty_name: BigStock |
|
tags: |
|
- timeseries |
|
- economics |
|
--- |
|
# BigStock |
|
|
|
This dataset contains historical data for a sample of 79 stock symbols. |
|
The data spans a period of 720+ days, at one-hour intervals. |
|
All values are in USD. |
|
It includes full candlestick data (open, close, low, high) as well as volume data. |
|
The data (not scraping/processing code) is licensed under GPL v3. |
|
|
|
## Other Datasets |
|
This a preview of the full BigStock dataset. |
|
I may also release a multivariate forecasting model trained on the data, likely based on Tiny Time Mixers or a custom architecture I have been evaluating. |
|
|
|
## Uses |
|
|
|
The data is usable for the following cluster of tasks: |
|
- Time series forecasting |
|
- Financial modeling |
|
- Reinforcement Learning |
|
|
|
## Limitations |
|
|
|
While its breadth is very large, the data is comparatively very short-term (~2yrs). |
|
Controlling for biases in economic data is inherently a difficult problem, because we only have one market to sample from! |
|
Therefore, models trained on this data may be biased towards recent market trends. |
|
|
|
This dataset may have missing, incorrect, or unreliable data. |
|
You are encouraged to validate it before use. |
|
|
|
## Dataset Creation |
|
|
|
The source data in this sample was provided purely from the Yahoo Finance website. |
|
Data was collected using the [yfinance](https://github.com/ranaroussi/yfinance/) library. |
|
|
|
The collection and processing was done on hardware owned and operated entirely by me. |