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 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.

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

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.

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.

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.

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

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.