Python Stock Prediction ML Program
Budget: ₹1,500 – ₹12,500 INR
I need a Python-based machine learning program that can predict stock prices based solely on historical stock prices.
Key Features:
- Utilizes Historical Stock Prices: The program should be trained on historical stock price data.
- Use these models: CNN-LSTM, ARIMA-LSTM, RNN, random forest models, and plot a single graph and predict for next 'n' days.
- Educational Purpose: I'll be using this program for educational purposes, so it should be designed for easy understanding and manipulation.
- Interactive: It should have interactive charts and graphs to better visualize the data.
I also need the program to allow me to input different data sets, so that I can test its accuracy and learn more about its workings.
Ideal Skills:
- Strong understanding of machine learning algorithms and Python programming.
- Experience in working with financial data and stock market prediction is a plus.
- Ability to create interactive data visualization.
Key Features:
- Utilizes Historical Stock Prices: The program should be trained on historical stock price data.
- Use these models: CNN-LSTM, ARIMA-LSTM, RNN, random forest models, and plot a single graph and predict for next 'n' days.
- Educational Purpose: I'll be using this program for educational purposes, so it should be designed for easy understanding and manipulation.
- Interactive: It should have interactive charts and graphs to better visualize the data.
I also need the program to allow me to input different data sets, so that I can test its accuracy and learn more about its workings.
Ideal Skills:
- Strong understanding of machine learning algorithms and Python programming.
- Experience in working with financial data and stock market prediction is a plus.
- Ability to create interactive data visualization.