robbiehaynes/arbitrage-finder

This repo features a betting arbitrage finder that uses The Odds API to fetch current betting odds. It enables users to identify profitable arbitrage opportunities by comparing odds from different bookmakers and exchanges. It is for entertainment and educational purposes only

Python Arbitrage Betting Finder 📈

This arbitrage betting finder will search major sports events, using The Odds API to fetch odds.

Then, using clever mathematics, will search for arbitrage opportunities across all bookmakers.

How to use

python arbitrage-finder.py

This will return:

• Matches with arbitrage opportunities
• Correct odds to use
• Amount to wager on each result
• Bookmaker to use

To save the arbitrage opportunities to a custom datastore, update the APIHandler in the networkhandler.py to use your storage solution. Also please add a DISCORD_WEBHOOK_URL in your env variables if you wish to use this feature

Disclaimer: Arbitrage betting discussed herein is purely for educational purposes and should not be construed as financial advice.

arbitrage-finder's Issues

Create useful objects

Now that there are Python variables available, change the structure so that arbitrage calculations can happen on them.

Finding this error in run time !

Hi, when i am running arbitrage-finder.py, i am finding this error in run time. Please solve this error.
Traceback (most recent call last):
File "C:\Users\ASUS\Downloads\arbitrage-finder-main\arbitrage-finder.py", line 33, in
for filename in os.listdir('odds'):
^^^^^^^^^^^^^^^^^^
FileNotFoundError: [WinError 3] The system cannot find the path specified: 'odds'

Create arbitrage module

Overview

Create a Python module that has functions that takes a database as a parameter and returns a list of arbitrage opportunities.

Signature

find_arb(database) -> opportunities[{pricing},{pricing}]

Fetch all games

Fetch and handle call to API for games in all sports wanted in the database

Format JSON response

Format the returned JSON value into Python variables that can later be used to perform calculations on.
At the moment, there is no need to split the content into more useful objects, just create something usable.