There are 11 repositories under google-trends topic.
Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times
Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf
Attempt to predict future stock prices based on Google Trends data.
Create beautiful and interactive Google Trends globe visualizations with ease
Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management - Mémoire/Thesis; HEC Montréal.
A dashboard is worth a thousand words => https://datastudio.google.com/reporting/755f3183-dd44-4073-804e-9f7d3d993315
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
Download and measure global trends through Google searches
Python package to get the full time series for any search query with daily frequency.
Projects using selenium, requests, bs4, and scrapy for web scraping on google images, google trends and others
Cloud Functions I needed to build for my projects: Requesting from an API || Loading generated data and objects (pics) into Cloud Storage || Loading data from BigQuery for its processing.
simple Google trends API
Course Project for UCSD ECE143: Programming for Data Analytics
A tool that predicts the dialect of English of an SMS message using recurrent neural networks supplemented with data from Google Trends.
An attempt to determine the direction of crypto asset price movement based on selected market information as well as to identify if there are leading indicators that could point the direction of movement.
Ridgeline plot of popular Google searches in the United States. Created with ggridges.
Correlation between google search trends and stock trading volume
Unofficial Rust API for interacting with Google Trend
Analyses google trends data for a keyword
Explores cross-correlation between time series of internet search term frequency and subsequent stock losses.
A visualization of the historical interest of cryptocurrencies compared to their respective prices.
A Node.js service for interacting with the Google Trends API, providing data fetching capabilities for interest over time, interest by region, daily trends, real-time trends, related queries, and related topics.
R codes and dataset for the estimation of the high-dimensional state space model proposed in the paper "A dynamic factor model approach to incorporate Big Data in state space models for official statistics" with Franz Palm, Stephan Smeekes and Jan van den Brakel.
Domain Generation Algorithm developed with Google Trends
Scrapes data off Google Trends and makes it more insightful.
Trends search made with Google Trends API