bearishpy 0.16.0

No project description provided

🐻 Bearish

Bearish is a package for querying financial and price data from various equities across different countries, and persisting it into a well-structured SQLite database for further data analysis and stock screening.

---

🎯 Use Case

This package is intended for active retail investors with a strong passion for data analysis, who require well-structured, clean, and large datasets locally to:

• Run custom technical and fundamental analysis
• Perform in-depth data analysis
• Identify patterns and investment insights
• Build custom screeners

Bearish is not designed for real-time trading, but for extensive analysis of historical and current financial data.

---

🌍 Global Scope

Bearish is designed to collect large-scale data from exchanges in different countries. It fetches data politely — meaning it does not make large-scale concurrent API calls and instead respects the rate limits and policies of each data provider. So, patience is required during large data retrieval.

The data fetched includes:

• Historical price data
• Company fundamentals
• Balance sheets, income statements, and more

All data is stored in a local SQLite database from which you can query, analyze, and build insights.

---

📊 Data Sources

Bearish pulls data from multiple sources:

• 📦 FinanceDatabase for basic ticker information
• 🌐 InvestPy for country-level equity listings
• 📉 yFinance as the primary source of prices and fundamentals
• 📊 Financial Modeling Prep (FMP)
• 🔍 AlphaVantage
• 📈 Tiingo

Ticker information is enriched using additional sources like yFinance, FMP, etc.
Bearish is also extensible — you can add support for any data source or API.

By default, Bearish relies primarily on yFinance due to limitations in free-tier APIs of other providers. However, if you have a premium subscription, you can use other sources more fully.

---

📥 Installation

Install Bearish with pip:

pip install bearishpy

---

🚀 Fetch & Store Data

🏛️ Country-Level Data

Fetch and store stock data for selected countries:

bearish run /path/to/sqlite/db Belgium France --api-keys=config.json

✅ This command:

• Loads tickers from FinanceDatabase and InvestPy
• Filters relevant equities from the selected countries
• Enriches the data with fundamentals and prices
• Stores everything in your local SQLite database

⏱️ This operation can take some time depending on the size of the country’s exchange — data is fetched "politely", not in bulk.

Once your database is populated, future updates are quicker.

---

The config.json contains the API keys of the different providers (if needed):

{
  "FMPAssets": "your Financial Modeling Prep API key",
  "FMP": "your Financial Modeling Prep API key",
  "AlphaVantage": "your Alphavantage API key",
  "Tiingo": "your Tiingo API key"
}

---

🔄 Updating Data

💵 Update Prices

To update only the price data:

bearish prices /path/to/sqlite/db Belgium France --api-keys=config.json

🧾 Update Financials

To update financial and fundamental data:

bearish financials /path/to/sqlite/db Belgium France --api-keys=config.json

🎯 Fetch Specific Tickers

To fetch and store data for specific tickers:

bearish run /path/to/sqlite/db US --filters NVDA,TSLA,RHM.DE --api-keys=config.json

You must always provide the country where each ticker is traded along with the desired tickers as filters.

---

📚 Summary

Feature	Description
🌍 Country-level support	Fetch equities from any exchange
🧠 Fundamental data	Balance sheets, cash flow, income statements
📉 Price history	Up-to-date historical prices
🗄️ Local database	Data saved in SQLite for offline analysis
🔌 Extensible	Plug in your own APIs or providers
🧪 Designed for analysis	Ideal for custom screeners and research

---

🛠️ Contributing

Contributions are welcome! Feel free to open issues or submit pull requests to improve Bearish.

---

📄 License

Bearish is released under the MIT License.