Stock-Prediction-Models and Deep_Learning_Machine_Learning_Stock
About Stock-Prediction-Models
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
This project offers a collection of tools for predicting stock prices and simulating trading strategies. You input historical stock data, and it provides forecasts of future prices or automated trading agents. This is designed for individual traders, financial analysts, or anyone looking to develop and test quantitative trading strategies.
About Deep_Learning_Machine_Learning_Stock
LastAncientOne/Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Implements multiple regression and neural network architectures (including LSTMs for time-series forecasting) built with Python, TensorFlow, and scikit-learn to predict stock price movements using technical and fundamental analysis features. The workflow encompasses full pipeline stages—data collection, preprocessing, model training with parameter tuning, and backtesting—to evaluate both classification and regression approaches across different market timeframes. Targets investors seeking to experiment with AI-driven stock strategies while understanding model limitations like overfitting and bias-variance tradeoffs in financial prediction tasks.
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