"Quipo is a cutting-edge web application that harnesses the power of machine learning to predict stock prices. Utilizing historical stock data and a range of predictive modeling techniques, including Linear Regression, Quipo delivers accurate and data-driven stock price predictions. The app's user-friendly interface provides users with easy-to-understand visualizations of the data, making it a valuable tool for both novice and experienced investors.
Built using the latest technology, Quipo utilizes popular libraries such as Keras, Numpy, Pandas, and Streamlit to deliver a seamless and intuitive user experience. The app sources its data from the Yahoo Finance database, ensuring that users have access to the most up-to-date information. Whether you're a professional trader or just starting out in the world of investing, Quipo provides you with the insights and information you need to make informed investment decisions."
- Python 3.5
- TuShare 0.7.4
- Pandas 0.19.2
- Keras 1.2.2
- Numpy 1.12.0
- scikit-learn 0.18.1
- TensorFlow 1.0 (GPU version recommended)
I personally recommend you to use Anaconda to build your virtual environment. And the program probably cost a significant time if you are not using the GPU version Tensorflow.
