Popular GitHub Repositories for Profitable

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

Multi-Agents AI LLM Crypto Financial Trading Framework. Make your path to financial freedom more secure and steady. 开源多代理加密货币交易决策框架。帮助你的财务自由之路走得更安心踏实。

Welcome to GPTNicheFinder, a powerful niche research tool powered by Google Trends data and OpenAI's GPT model. This application provides a streamlined approach to identify profitable niche markets by leveraging data-driven insights and cutting-edge artificial intelligence.

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features for linear models, xgboost models, and neural network models. Use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets. Evaluate performance of the models in order to optimize them Get predictions with enough accuracy to make a stock trading strategy profitable.

Unlock the power of Generative AI and learn to generate passive income for profitable online ventures with ChatGPT

Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for development set, final cross-validation in test set; Calculates model’s annualized return, improvement from buy/hold, percent profitable trades, profit factor, max drawdown

The " profitable crypto trading strategy " employs a combination of the Fisher Transform, ATR, RSI, and Volume Oscillator to make informed trading decisions. Parameters for the strategy have been optimized using Optuna, a hyperparameter optimization framework, to maximize performance based on historical data. Bitcoin, Ethereum, Solana and so on

The AI bot, built using the Google Gemini API, is designed to assist with affiliate marketing. It processes a list of products, analyzes trends, market data, and other key factors, and then recommends the most profitable products to promote for optimal returns.