🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
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Updated
Jan 17, 2021 - Python
🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction
In this repository i created many data scince - machine learning projects like(Deep dream,weather prediction,Movie recommender system etc) with code & datasets
Model news data in short, medium and long term for stock price trend prediction
This is an AI based project which specifically on Data domain. This Repository contains program which predicts share price for particular organization by data of past 60 days.
Python command-line program that leverages the user's Robinhood account to assist in choosing options to perform the wheel strategy. This is done by utilizing a delta-based risk assessment and listing qualifying weekly options in order of potential profit within price range.
The prediction of the Microsoft stock value is addressed pursuing two distinct strategies: 1 starting from solely the company's stock data, 2 leveraging also the overall sentiment towards the company extracted from Twitter and the records related to the ongoing pandemic.
Using article and company embeddings to calculate adjusted media sentiment.
Software designed to identify and monitor social/historical cues for short term stock movement
Our school had a stock market prediction challenge. I tried to get ahead by building NLP prediction engine and hacked something together in a few days.
Stock Market Direction Predictor
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 value alanatics program
This repository hosts a stock market prediction model for Tesla and Apple using Liquid Neural Networks. It showcases data-driven forecasting techniques, feature engineering, and machine learning to enhance the accuracy of financial predictions.
⚡ STOCK MARKET PREDICTION is a Deep Learning based web application using LSTM model and that is used to predict the future stock prices based on 10 years historical data
Flask backend for stock price prediction app
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