Using ChatGPT Advance Data Analysis for Stock Market Prediction

In this insightful video, we delve deep into the realm of stock market prediction using advanced data analysis techniques with ChatGPT. We focus on the NIFTY index, a benchmark Indian stock market index, demonstrating how to leverage historical data to make informed predictions.

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🔍 What's inside:

Understanding NIFTY Data: We begin with an exploration of the NIFTY daily data, highlighting key trends and patterns over time.
Technical Analysis: Discover how to plot essential technical indicators like Exponential Moving Averages (EMA10 and EMA20) and the Relative Strength Index (RSI14) to capture market sentiment and momentum.
January Returns Analysis: We analyze the January month returns from 2010 to 2023, providing a seasonal insight into market trends.
Seasonality Metrics: A detailed discussion on the seasonality metrics, including mean, median, and standard deviation, offering a comprehensive view of January returns.
Linear Regression for Prediction: Learn how to implement a Linear Regression model to predict the next day's close price using features like EMA10, EMA20, RSI14, and Yesterday's Close.
Performance Metrics: We evaluate the performance of our Machine Learning model using metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-Squared (R2).
Predictive Insights: Finally, we use the trained model to predict the next day's close, demonstrating the practical application of our analysis.
Whether you're a seasoned trader, a data analyst, or someone curious about the stock market, this video offers valuable insights and techniques that you can apply for better predictive analysis. So, buckle up for a deep dive into stock market prediction with ChatGPT!

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📈 Disclaimer: This video is for educational purposes only. The techniques and analysis presented are not financial advice. Please consult with a financial advisor before making any investment decisions.

If you have any questions or topics you'd like us to cover in future videos, please drop a comment below! Happy Trading! 📊🚀

[Akivya]

Thank you for sharing this, it saves a lot of time, very helpful, please make more videos on this

[reniy]

Thanks for the detailed explanation. It was helpful