stock-data-loader 0.1.2

A library for loading stock data from Seeking Alpha API

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:

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 file for details.