Horse Racing Betting Game using jаvascript
Horse Racing Betting Game using jаvascript
Script that uses the Tensorflow neural network to predict betting-odds in a football match using tensorflow. The script uses the team-ratings before every match from the FIFA videogame database. The script should be executed in a Tensorflow environment (Firstenv).
Building an ensemble machine learning model using Keras and XGBoost to generate predictions to be used for betting on NHL games.
Script arbitrage betting finder
Telegram bot actual exchange rates for travel, work and daily life
Insider trading in Telegram bot (for SPB-Exchange)
The bot collects insider trades from finviz.com (based on SEC reports) and sends them to our Telegram channel. Data is sorted by SPB-Exchange tickers. No OTC trades! Useful for trading with Russian brokers.
This project is a Telegram bot that predicts colors in online gambling games using machine learning. It provides real-time statistics and monitors bets to offer predictions on the next color to be drawn. Written in Python, it utilizes libraries like Telethon, Websockets, and Scikit-learn
In this project I am setting up a telegram bot that automates the process of copying sports picks from a tipster and placing the bet through the sportsbooks API.
Telegram bot for analyzing tennis matches and recommending under 22.5 game bets.
Analyzes player statistics and form
Considers surface performance
Evaluates injury status
Provides confidence percentage for Under 22.5 games
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