Technical Analysis software

Stock Prediction System is a ML based website designed using Django's Framework and CSS's BootStrap Framework (NOTE: ALL THE DEPLOYMENTS ARE CURRENTLY DOWN)

Kalinda's personal website

This project showcases a comprehensive exploratory data analysis (EDA) of Tesla stock prices using various analytical tools, including Python, R, Power BI, and Microsoft Excel. The project involves examining historical Tesla stock data, performing EDA, and predicting stock prices for January 2024.

Predict of prices by trade history 4 Tehran Bourse

Training an LSTM neural network to predict stock prices.

Harini Palanisamy | Data Scientist | AI in Investment Enthusiast

Dynamic and user-friendly web app for stock prediction

A Python-based stock price prediction web app powered by an LSTM model.

Data science and Spark applied to 7 hypotheses regarding the DJIA stock ticker and daily news.

Implementation of various machine learning algorithms in the prediction of Kenya's stock market performance.

Stock Predictor App is django app to predict stock market prices. hosted on

The NIFTY 50 is a benchmark Indian stock market index that represents the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. We use real-time dataset to calculate the stock predictions for future years.

Analysing the characteristics and trends of the Saudi energy sector stock market to construct five machine learning models that predict the stock's movement and provide a buy or sell recommendation.

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Predicted Target (NYSE: TGT) stocks by implementing a variety of models with Recurrent Neural Networks (RNNs) using TensorFlow. Utilized a variety of predictors that I believed provided valuable insights.

Tesla's stock prediction ML model deployed on Streamlit Cloud.

Stock Price Prediction

Using PyCaret to Predict Apple Stock Prices