# Stock Data Loader
A Python library for loading stock data from the Seeking Alpha API.
## Installation
You can install the Stock Data Loader using pip:
```
pip install stock-data-loader
```
## How to Use StockDataLoader
[Previous usage instructions remain the same]
## Output Columns
The `load_symbol_data` method returns a pandas DataFrame with the following columns:
- `id`: Unique identifier for the stock
- `type`: Type of the data (usually "ticker")
- `symbol`: Stock symbol
- `name`: Full name of the company
- `followersCount`: Number of followers on Seeking Alpha
- `exchange`: Stock exchange where the stock is listed
- `analysis`: Number of analysis articles
- `related_analysis`: Number of related analysis articles
- `transcripts`: Number of earnings call transcripts
- `earning_slides`: Number of earning slides available
- `news`: Number of news articles
- `partnerNews`: Number of partner news articles
- `pressReleases`: Number of press releases
- `bulls_say`: Number of bullish opinions
- `bears_say`: Number of bearish opinions
- `market_open`: Market open status (may be empty)
- `market_open_time`: Market open time (may be empty)
- `analysis_count`: Another count of analysis articles (may differ from `analysis`)
- `news_count`: Another count of news articles (may differ from `news`)
- `transcripts_count`: Another count of transcripts (may differ from `transcripts`)
Note: Some columns may be empty or have different values than expected due to variations in the API response.
## Example Output
Here's a sample of what the output might look like:
```python
print(result_df.head())
```
```
id type symbol name followersCount exchange analysis related_analysis transcripts earning_slides news partnerNews pressReleases bulls_say bears_say
0 146 ticker AAPL AAPL 2713202 NASDAQ 10037 27710 81 0 10753 13829 242 3 3
1 16123 ticker TSLA TSLA 1151910 NASDAQ 5929 8495 85 20 5737 16194 322 3 3
2 148893 ticker GOOGL GOOGL 459787 NASDAQ 1974 10468 33 1 4592 4273 97 3 1
```
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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