An Elixir wrapper for the Python yfinance library.

Yahoo! Finance® is a great place to download financial data like stock ticker prices. While they don't offer an API from which you can download this data, there is a Python library that makes the same calls as their web app so that you can fetch the time series data. This library was written to allow readers of Financial Analytics Using Elixir to collect, analyze and visualize economic data from Yahoo! Finance®, but it can be used outside the context of the book.

To learn how you can analyze and visualize the financial markets using Livebook, Explorer, Scholar and Nx, be sure to pick up a copy of our book:

Contents

• Installation
• Configuration
• Quick Start
• Livebook Notebooks

Installation

Add yfinance to your list of dependencies in mix.exs:

def deps do
  [
    {:yfinance, "~> 0.6.0"}
  ]
end

Configuration

In order to run the underlying Python yfinance library, this library makes use of Pythonx so that you can run Python code inside your Elixir application. By default Yfinance will attempt to start the Python runtime as part of application init, but if you attempt to start two instances of Pythonx, Yfinance will assume that you have started it via configuration and it is up to you to configure your Python runtime properly.

For more information on how you can do this, check out the docs for Yfinance.

Quick Start

Once you have the Yfinance library added to your mix.exs file, you can start your project with ex -S mix and run queries to Yahoo! Finance® like so:

iex(1)> {:ok, data_frame} = Yfinance.Ticker.history("aapl", Date.shift(Date.utc_today(), month: -1), Date.utc_today())
{:ok,
 #Explorer.DataFrame<
   Polars[19 x 7]
   Date date [2026-02-13, 2026-02-17, 2026-02-18, 2026-02-19, 2026-02-20, ...]
   aapl_Adj Close decimal[38, 2] [255.78, 263.88, 264.35, 260.58, 264.58, ...]
   aapl_Close decimal[38, 2] [255.78, 263.88, 264.35, 260.58, 264.58, ...]
   aapl_High decimal[38, 2] [262.23, 266.29, 266.82, 264.48, 264.75, ...]
   aapl_Low decimal[38, 2] [255.45, 255.54, 262.45, 260.05, 258.16, ...]
   aapl_Open decimal[38, 2] [262.01, 258.05, 263.60, 262.60, 258.97, ...]
   aapl_Volume s64 [56290700, 58469100, 34203300, 30845300, 42070500, ...]
 >}

iex(2)> Explorer.DataFrame.print(data_frame, limit: 10, limit_dots: :bottom)
+-------------------------------------------------------------------------------------------------------------------------+
|                                       Explorer DataFrame: [rows: 19, columns: 7]                                        |
+------------+------------------+------------------+------------------+------------------+------------------+-------------+
|    date    |  aapl_Adj Close  |    aapl_Close    |    aapl_High     |     aapl_Low     |    aapl_Open     | aapl_Volume |
|   <date>   | <decimal[38, 2]> | <decimal[38, 2]> | <decimal[38, 2]> | <decimal[38, 2]> | <decimal[38, 2]> |    <s64>    |
+============+==================+==================+==================+==================+==================+=============+
| 2026-02-13 | 255.78           | 255.78           | 262.23           | 255.45           | 262.01           | 56290700    |
| 2026-02-17 | 263.88           | 263.88           | 266.29           | 255.54           | 258.05           | 58469100    |
| 2026-02-18 | 264.35           | 264.35           | 266.82           | 262.45           | 263.60           | 34203300    |
| 2026-02-19 | 260.58           | 260.58           | 264.48           | 260.05           | 262.60           | 30845300    |
| 2026-02-20 | 264.58           | 264.58           | 264.75           | 258.16           | 258.97           | 42070500    |
| 2026-02-23 | 266.18           | 266.18           | 269.43           | 263.38           | 263.49           | 37308200    |
| 2026-02-24 | 272.14           | 272.14           | 274.89           | 267.71           | 267.86           | 47014600    |
| 2026-02-25 | 274.23           | 274.23           | 274.94           | 271.05           | 271.78           | 33714300    |
| 2026-02-26 | 272.95           | 272.95           | 276.11           | 270.80           | 274.95           | 32345100    |
| 2026-02-27 | 264.18           | 264.18           | 272.81           | 262.89           | 272.81           | 72366500    |
| …          | …                | …                | …                | …                | …                | …           |
+------------+------------------+------------------+------------------+------------------+------------------+-------------+

:ok

Livebook Notebooks

The livebooks/ directory contains interactive Livebook notebooks that demonstrate how to use the library along with VegaLite for charting: