This is How AI Can Predict Stock Prices: An LSTM Tutorial

Download the source code from here: https://onepagecode.substack.com/ Ever wondered how AI can be used to predict stock prices? Dive into this comprehensive tutorial where we unravel the mysteries of using LSTM (Long Short-Term Memory) networks to forecast stock market trends. In this video, we'll guide you through the entire process, from setting up your coding environment and fetching data with the Alpha Vantage API to preparing your data and building an LSTM model. Whether you're a student of data science, a finance professional, or just a curious tech enthusiast, this video will provide you with the tools and knowledge to start implementing your own AI-driven stock predictions. Don't miss out on this exciting journey into the world of financial technology—subscribe and hit the bell icon to stay updated on our latest tutorials and insights! 00:00:00 Install libraries, setup PyTorch, Alpha Vantage, print message 00:01:18 API key, data, plots, model, training details 00:03:03 This code downloads and plots daily stock data 00:04:33 Class to normalize and inverse data 00:05:36 Prepare and split data for training 00:06:55 Convert time series data for LSTM 00:08:25 LSTM model for time series forecasting 00:10:24 Code for training and evaluating a neural network using PyTorch with adjustable hyperparameters 00:12:37 Load data, make predictions, plot results 00:14:10 Use a trained model to make stock price predictions and display a plot of predicted prices