jhustles/bloomstrade
Developed a stock trading web app using Python, Flask, SQLite3, Jinja, Bootsrap4, and HTML. This app enables users register and trade stocks with play money, and also tracks your portfolio balance and history. Data is provided by IEXCLOUD.IO API (https://iexcloud.io/)
kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
jhustles/bloomstradekaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Project
Python@LanguagePython
Flask FrameworkFlask
9 Stars494
3 Forks183
APIsCategoryAPIs
Finance APIsSub CategoryFinance APIs
2020-10-22Pushed at2024-02-19
MIT LicenseLicenseMIT License