Financial data reader
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Updated
Feb 13, 2025 - 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.
Fetch data from National Stock Exchange, India
Follow your favourite stock right in the terminal window
Visualising stock price predictions for several Machine Learning models using DASH, Python
Real-time stock tickers from the command-line based on Java
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
Project to predict stock prices with Recurrent Neural Network in TensorFlow with client input as web application (with Flask).
A Microsoft Excel Add-in based on Excel-DNA which adds new user-defined functions (e.g. stock quote queries).
📋 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.
Excel-Add-In (UDF) to get stock data from the Alpha Vantage API
some spider code 财经资讯以及基金股票外汇价格爬虫
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.
Calculates technical indicators for technical analysis in PHP.
Real-time stock tickers from the command-line based on Java (only for KRX)
FoxTrend uses advanced machine learning to provide insightful stock price forecasts and comprehensive company information. The platform also offers additional features, such as car price prediction, loan approval assessment, and housing price estimation.
Prediksi Harga Penutupan Emiten Saham Yahoo Finance dengan metode LSTM dan GRU
A multipage stock exchange data website built by Vanilla JavaScript
A skeleton template for predicting stock prices with Python - Fetching time-series data from Quandl API, parsing (preprocessing) to visualising 8+ Machine Learning predictions
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