Predict future stock prices using a pre-trained LSTM deep learning model. Upload a CSV file with historical stock data or use a sample to visualize trends and forecast closing prices.

Biểu diễn dữ liệu sinh động và nhanh chóng với bộ công cụ chính thức từ Vnstock.

Real-Time Adaptive Multi-Modal Stock Prediction with Temporal Graph Attention and Dynamic Interaction Networks

This system is designed to provide valuable insights into future market movements, enabling users to make informed decisions regarding their investments without directly executing trades. It leverages the VIX (CBOE Volatility Index) as a key indicator for predicting trends, in the SPY (S&P 500 ETF) market.

The Stock Prediction React Project is a web-based application that utilizes machine learning algorithms and financial data to predict stock prices. Stock Prediction Project Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

A comprehensive project leveraging big data techniques for stock market prediction and analysis. This repository includes data collection, processing, and visualization tools, alongside machine learning models for predicting stock prices and analyzing market trends. Ideal for financial analytics and investment strategies.

We have created a stock market analysis app in which we took top companies stocks such as amazon, tesla, apple, microsoft and compared their past stock market exchanges with each other.Installed yfinance which updates us with the current status of stocks. Used regression and classification algorithms to predict the future of these companies.

Stock Prediction and Analysis Script Overview This script is designed to predict stock prices using various machine learning and statistical models. It fetches historical stock data, processes it, and then applies several predictive models. The results, including forecasts and model coefficients, are saved to an Excel file for further analysis.

This is code that I have written early on to analyze the Stock Market and provide predictions which is still in the early stages!

In this project, we 'The Phoenix' will create a model that will help us to predict the stock price, with colorful visualization.

Excel VBA scripts to iterate through stock market data and perform automated calculations to yield key performance indicators (annual return, etc.)

In this project, you will execute an End-To-End Data Engineering Project on Real-Time Stock Market Data using Kafka. We are going to use different technologies such as Python, Amazon Web Services (AWS), Apache Kafka, Glue, Athena, and SQL.

India Market cycle tracker - capital cost vs capital efficiency

Crypto Analysis will help us to analyze that what really happened and what is the cause of crypto fall in MAY 2021

web application for finding the best portfolio distribution for the total amount invested by investors in order to maximize their gains and minimize the risks.

Track real-time stock prices, get personalized alerts and explore detailed company insights.

An automated end-to-end data pipeline that extracts Reliance Industries stock data using Python (yfinance), stores it in MySQL, and visualizes trends in Power BI.