Studies on using AI to predict stock prices
Introduction
The stock price of a company is affected by various factors, and it is very important to accurately analyze and predict these factors. To this end, we would like to study how to analyze and predict the factors that affect a company’s stock price using artificial intelligence technology.
Data collection
The first thing you need to do is gather data on a company’s stock price and the various factors that affect it. This should include the company’s financials, the market environment, and competitor information.”
Data preprocessing
The data you collect needs to be cleaned and processed into a form that can be used for model training. This includes handling missing values, removing outliers, normalization, and more.
Building AI models
Build AI models based on the collected data. We utilize various machine learning algorithms and deep learning models to develop a model that predicts a company’s stock price.
Model Training
Train the AI model you built to predict a company’s stock price. Separate the training data from the test data to evaluate the model’s performance.
Analyzing Prediction Results
Model
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