Initial

.env

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+API_KEY=

.gitignore

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+__pycache__
+venv
+.idea

logic.py

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+from typing import Iterable, Generator
+import time
+import requests
+
+BASE_URL = "https://api.the-odds-api.com/v4"
+
+
+def get_sports(key: str) -> set[str]:
+	url = f"{BASE_URL}/sports/"
+	querystring = {"apiKey": key}
+
+	response = requests.get(url, params=querystring)
+	return {item["group"] for item in response.json()}
+
+
+def get_data(key: str, sport: str, region: str = "eu"):
+	url = f"{BASE_URL}/sports/{sport}/odds/"
+	querystring = {
+		"apiKey": key,
+		"regions": region,
+		"oddsFormat": "decimal",
+		"dateFormat": "unix"
+	}
+
+	response = requests.get(url, params=querystring)
+	return response.json()
+
+
+def process_data(matches: Iterable, include_started_matches: bool = True) -> Generator[dict, None, None]:
+	"""Extracts all matches that are available and calculates some things about them, such as the time to start and
+	the best available implied odds."""
+	for match in matches:
+		start_time = int(match["commence_time"])
+		if not include_started_matches and start_time < time.time():
+			continue
+
+		best_odd_per_outcome = {}
+		for bookmaker in match["bookmakers"]:
+			bookie_name = bookmaker["title"]
+			for outcome in bookmaker["markets"][0]["outcomes"]:
+				outcome_name = outcome["name"]
+				odd = outcome["price"]
+				if outcome_name not in best_odd_per_outcome.keys() or \
+					odd > best_odd_per_outcome[outcome_name][1]:
+					best_odd_per_outcome[outcome_name] = (bookie_name, odd)
+
+		total_implied_odds = sum(1/i[1] for i in best_odd_per_outcome.values())
+		match_name = f"{match['home_team']} v. {match['away_team']}"
+		time_to_start = (start_time - time.time())/3600
+		league = match["sport_key"]
+		yield {
+			"match_name": match_name,
+			"match_start_time": start_time,
+			"time_to_start": time_to_start,
+			"league": league,
+			"best_outcome_odds": best_odd_per_outcome,
+			"total_implied_odds": total_implied_odds,
+		}

main.py

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+from logic import *
+import os
+from itertools import chain
+from dotenv import load_dotenv
+from rich import print
+
+
+load_dotenv()
+
+
+def main():
+	key = os.environ.get("API_KEY")
+
+	sports = get_sports(key)
+	data = chain.from_iterable(get_data(key, sport) for sport in sports)
+	data = filter(lambda x: x != "message", data)
+	results = process_data(data)
+
+	arbitrage_opportunities = filter(lambda x: x["total_implied_odds"] < 1, results)
+	for i in arbitrage_opportunities:
+		print(i)
+
+
+if __name__ == '__main__':
+	main()

requirements.txt

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+requests~=2.28.1
+python-dotenv~=0.21.0