Add yFinance as a New Data Provider

[taheri24]

Is your feature request related to a problem? Please describe.
Currently, PyneCore lacks native integration with yFinance (Yahoo Finance), a popular and free data source for historical market data. Many traders and developers rely on yFinance for backtesting due to its ease of use and accessibility. Without this integration, users must manually fetch and preprocess data, which adds unnecessary steps and complicates the workflow.

Describe the solution you'd like
I propose integrating yFinance as a built-in data provider in PyneCore, similar to how other backtesting frameworks (e.g., Backtrader, Zipline) support it. This would allow users to:

• Fetch OHLCV (Open, High, Low, Close, Volume) data directly within PyneCore.
• Specify tickers, timeframes, and date ranges seamlessly.
• Avoid external data preprocessing steps, making backtesting faster and more intuitive.

Describe alternatives you've considered

• Manually downloading CSV files from Yahoo Finance and loading them into PyneCore (tedious and not dynamic).
• Using other data providers like Alpha Vantage or Polygon (often require API keys and rate limits).
• Writing a wrapper around yFinance to feed data into PyneCore (possible but should be native for better UX).

Additional context

• yFinance is widely used, free, and supports most major stocks, ETFs, and cryptocurrencies.
• This integration would make PyneCore more competitive with TradingView’s Pine Script™, which has built-in Yahoo Finance data access.
• A similar implementation exists in libraries like backtrader and pandas_datareader, so PyneCore could adopt a lightweight version.

[wallneradam]

Hi, thanks a lot for the suggestion – it's a great idea, and definitely something we’re planning to support soon! 🙌

We’ll implement yFinance as a separate plugin, so PyneCore remains lightweight by default, and extra data providers can be added modularly.

In the meantime, you can already use yFinance data by downloading CSV files and converting them to PyneCore format using our CLI:

📘 See: https://pynecore.org/docs/cli/data/#converting-from-other-formats

We truly appreciate this kind of feedback – it helps us prioritize what matters most to users. Thanks again!