Financial data reader
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Updated
Mar 10, 2024 - Jupyter Notebook
Financial data reader
Machine Learning Natural Language Processing analysis of earnings call transcripts for logistic regression classification to make 'buy', 'sell' or 'hold' calls on stocks.
Using Python, Javascript, Postgres and HTML built a retail dashboard containing interactive visualization and forecast generated by Facebook Prophet and other machine learning models. Grocery recommendation system uses k-means clustering and the surprise algorithm
Fetch data from National Stock Exchange, India
DSCI 524 Group 20: Python package that analyzes stocks!
Visualising stock price predictions for several Machine Learning models using DASH, Python
Project to predict stock prices with Recurrent Neural Network in TensorFlow with client input as web application (with Flask).
DSCI 524 Group 20: R package that analyzes stocks!
Real-time stock tickers from the command-line based on Java
📋 Ionic app to chart historic stock prices from a financial data API. Take care if updating to ng16 or ng17 as chart.js and ng2-charts not Ivy compatible.
predicting Google stock price, based on pre 80 days price
A fast, free and simple stock and option prices API. This API can easily be integrated into any .NET project.
Prediction of Stock price using Recurrent Neural Network (RNN) models. Contains GRU, LSTM, Bidirection LSTM & LSTM combinations with GRU units. The models were deveoped using the keras module from Tensorlfow.
Excel-Add-In (UDF) to get stock data from the Alpha Vantage API
Follow your favourite stock right in the terminal window
A Microsoft Excel Add-in based on Excel-DNA which adds new user-defined functions (e.g. stock quote queries).
Calculated the total amount of volume per stock for 2014-2016 stock market data using VBA.
A multipage stock exchange data website built by Vanilla JavaScript
This node application, which is deployed to AWS lambda serverless function, fetches stock price history for a given stock.
Add a description, image, and links to the stock-price topic page so that developers can more easily learn about it.
To associate your repository with the stock-price topic, visit your repo's landing page and select "manage topics."