Nasdaq Data Link API Ruby Library and Command Line
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Updated
Apr 25, 2024 - Ruby
Nasdaq Data Link API Ruby Library and Command Line
Used Quandl API and Jupyter Notebook to create simple linear regression model to predict stock prices
A (more or less) simple script that reads data from the Nasdaq Data Link / Quandl API and stores it in an InfluxDB. It uses a free API key from data.nasdaq.com
A tiny tool for quickly downloading large (and free) datasets from Quandl.
Python experiments with analysis & plotting of CME lean hog futures using IPython/Jupyter Notebook
Codes for query no. - 6, 7 & 8, Encryption/Decryption, Date conversion, Summary tables, Data Visualization and Testing
Flexdashboard to predict geopolitic news and financial markets around the world
Automatize charting of historical data and forecasts (EIA, IMF and others) via Quandl API
Group Project that analyzed the residential real estate market from 2008 to 2021 to try and determine best time to buy across various cities in the mid-west.
Compare stocks listed on the Bombay Stock Exchange! Made using Plotly and Dash using data from Quandl. Check out the live link!
Bitcoin Price Prediction using LSTM and ARIMA with Quandl API and Prophet Facebook with CoinMarketCap API
This project is to backtest the commonly used Double Top and Bottom chart pattern by using the Quandl API.
Provides Quandl access to smart contracts through a Chainlink external adapter
This repository contains my latest work ingesting stock market data using the Quandl API with the JSON documents stored on a drive, processed and pushed to a PostgreSQL database.
As part of my Data Engineering professional development, I am developing an array of data pipelines which extract, transform and load the data from various sources such as this Quandal API, CSV, JSON and database such as Google BigQuery, Microsft SQL Server and PostgreSQL, just to name a few.
Import live, refreshable data from Quandl into Microsoft Excel and Google Sheets.
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