This work investigates the forecasting relationship between a Google Trends indicator and real private consumption expenditure in the US. The indicator is constructed by applying Kernel Principal Component Analysis to consumption-related Google Trends search categories. The predictive performance of the indicator is evaluated in relation to two …
☆40Feb 23, 2021Updated 5 years ago
Alternatives and similar repositories for google_trends_consumption_prediction
Users that are interested in google_trends_consumption_prediction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tracking activity and sentiment in the crypto markets using the Twitter API, Reddit API, Google Trends, and other sources☆10Sep 23, 2019Updated 6 years ago
- This project is part of my internship at ULiege on Deep RL in stock market trading☆44Nov 9, 2023Updated 2 years ago
- I use TVP-VAR methodology with a stochastic volatility model to investigate the forecasting performance on macroeconomic variables. In pa…☆10Nov 17, 2019Updated 6 years ago
- Daily scrapes of trends from Wikipedia, Google and Twitter☆11May 15, 2023Updated 3 years ago
- R package to import articles from newspaper databases☆14Feb 29, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Prediction of box office success using Google Trends data☆11Dec 5, 2019Updated 6 years ago
- Use ESG-BERT model to classify text of sustainability reports☆17Jun 7, 2023Updated 3 years ago
- An attempt to predict stock market volatility, return and trading volume of tech stocks using Semantic Vectors and Google Trends, which r…☆13May 17, 2017Updated 9 years ago
- Modifying the Shiller CAPE Ratio to adjust for changing economic conditions.☆15Nov 5, 2022Updated 3 years ago
- MacroEconomic Expectations Data in R using the Central Bank of Brazil API☆10Aug 12, 2022Updated 3 years ago
- This paper have been presented in the form of an oral presentation at the IJCNN-2019 conference. The title is "Transformation-gated LSTM…☆30Apr 26, 2020Updated 6 years ago
- Daily kata from Quantitative Investment Portfolio Analytics In R☆17Aug 7, 2019Updated 6 years ago
- R package recreating econometric methods proposed in "Why You Should Never Use the Hodrick-Prescott Filter" by James Hamilton☆21Aug 21, 2025Updated 9 months ago
- Fourier Spatial-Temporal Network for Multivariate Time Series Forecasting☆11Jan 1, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Stock selection and portfolio performance based on ESG Scores☆14Mar 16, 2021Updated 5 years ago
- Predicting index movements with Google Trends search volume alternative data☆16Dec 8, 2020Updated 5 years ago
- Contains the NLP project for the "Detecting greenwashing signals through a comparison of ESG reports and public media" challenge.☆22Jun 12, 2023Updated 3 years ago
- Please refer to attached full report. Introduction ESG is abbreviate of the environment, social responsibility, and corporate governanc…☆22Aug 16, 2018Updated 7 years ago
- Large t-Vector AutoRegressive models with volatility spillovers and networks. Code of the paper Barbaglia, Croux, Wilms (2020) "Volatilit…☆19Feb 18, 2021Updated 5 years ago
- Code for the paper "LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances"☆10Feb 22, 2018Updated 8 years ago
- 使用深圳市的出租车轨迹数据实现GCN时间序列预测☆11Nov 9, 2023Updated 2 years ago
- Crypto trading bot that monitors twitter feeds to take advantage of pump and dumps. Uses Twitter and Bittrex APIs☆17Dec 27, 2017Updated 8 years ago
- Replication of "Quantifying Trading Behavior in Financial Markets Using Google Trends" by Preis et al 2013☆30Jan 21, 2014Updated 12 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository contains the geatpy implementation for paper: Co-operative Prediction Strategy for Solving Dynamic Multi-Objective Optimi…☆10Sep 30, 2020Updated 5 years ago
- Google Trends + Python + Google Sheets API + Tableau Public = Full Automation☆32May 6, 2018Updated 8 years ago
- Multistep univariate time series forecasting using Gated Recurrent Unit.☆16Jan 18, 2020Updated 6 years ago
- Hyperparameter Tuning in LSTM using Genetic Algorithm, Bayesian Optimization, Random Search, Grid Search.☆42May 23, 2021Updated 5 years ago
- PredictHQ’s Data Science documentation☆15Apr 1, 2026Updated 2 months ago
- 【更新中...】机器学习笔记。包括机器学习、深度学习、强化学习和迁移学习等。☆15Jul 5, 2019Updated 6 years ago
- We explore the application of Machine Learning for predicting the return of the stock by using the information of stock returns. A tradin…☆16Jun 6, 2022Updated 4 years ago
- Open source codes of "Spatio-Temporal Probabilistic Forecasting of Photovoltaic Power Based on Monotone Broad Learning System and Copula …☆16Feb 14, 2022Updated 4 years ago
- A Comparative Analysis of a Real Close-price Stock Market Data with The Classical Time Series, Machine Learning and a Single Layered Neu…☆25Jul 29, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)☆13Jun 5, 2021Updated 5 years ago
- Minimize forecast errors by developing an advanced booking model using Python☆12Sep 11, 2018Updated 7 years ago
- Uses TDA API in order to scrape data for implied volatility as well as option greeks.☆13Oct 4, 2024Updated last year
- Predicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for …☆10Aug 10, 2019Updated 6 years ago
- WARNING: using this software will probably lose you money. The AIStockTradingBot will someday handle my Stock Trading Strategy while I a…☆30May 15, 2026Updated last month
- Dynamic factor models (DFM) in R. Easy estimation and new data contributions to changes in prediction.☆28May 23, 2023Updated 3 years ago
- Load Forecasting using Machine Learning example for Valohai☆14Sep 19, 2019Updated 6 years ago