Attempt to predict future stock prices based on Google Trends data.
☆125May 22, 2023Updated 3 years ago
Alternatives and similar repositories for stock-market-prediction-via-google-trends
Users that are interested in stock-market-prediction-via-google-trends are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆96Feb 17, 2022Updated 4 years ago
- trade bitcoin using simple google trend strategy☆32Feb 6, 2018Updated 8 years ago
- This work investigates the forecasting relationship between a Google Trends indicator and real private consumption expenditure in the US.…☆40Feb 23, 2021Updated 5 years ago
- Python package to get the full time series for any search query with daily frequency.☆20Apr 12, 2026Updated 2 months ago
- Recurrent Neural Network (RNN), LSTM (Long Short-Time Memory), Bitcoin, Google Trends, Prediction, Deep Learning☆40Apr 24, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Model news data in short, medium and long term for stock price trend prediction☆19Feb 12, 2018Updated 8 years ago
- ☆28May 3, 2022Updated 4 years ago
- This repository contains dataset for paper FedNLP: An interpretable NLP System to Decode Federal Reserve Communications, published in SIG…☆15Feb 7, 2024Updated 2 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆23Aug 12, 2017Updated 8 years ago
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆26Mar 29, 2024Updated 2 years ago
- Package to download long-term Google Trends☆16Jul 19, 2023Updated 2 years ago
- A pairs trade is a market neutral trading strategy enabling traders to profit from virtually any market conditions. This strategy is cate…☆22Nov 21, 2021Updated 4 years ago
- Prompt-driven automation platform - Transform natural language into executable workflows☆34Jul 13, 2025Updated 11 months ago
- Pair Trading Analysis & Exercises Toolkit [Jupyter Notebook]☆13Nov 3, 2023Updated 2 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.
- 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
- Repository for GARCH tutorial paper in RAC☆30Oct 14, 2020Updated 5 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆49Nov 30, 2017Updated 8 years ago
- Simple VectorBT Streamlit Backtesting App☆23Jan 29, 2024Updated 2 years ago
- Daily scrapes of trends from Wikipedia, Google and Twitter☆11May 15, 2023Updated 3 years ago
- Stock trading using timing strategy (股票的择时交易): mainly use short & long moving average of stock price and also analyze the performance of …☆12Feb 26, 2020Updated 6 years ago
- ☆27Oct 2, 2017Updated 8 years ago
- Low latency high throughput GDAX orderbook analysis engine and trading bot☆13Mar 24, 2018Updated 8 years ago
- asimkymk / Stock-Market-Trend-Forecasting-Using-Explainable-Artificial-Intelligence-and-Multi-FactorAims to develop a comprehensive framework for predicting stock market trends by combining traditional time series analysis with multi-fac…☆12May 29, 2023Updated 3 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.
- Prediction of box office success using Google Trends data☆11Dec 5, 2019Updated 6 years ago
- Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.☆46Oct 23, 2022Updated 3 years ago
- A collection of Pine Script code snippets that I find useful☆15Jun 5, 2018Updated 8 years ago
- A collection of notebooks and different prediction models that can predict the stock prices. Also a comparison of how all these models pe…☆35Jan 18, 2021Updated 5 years ago
- Apply Box&Tiao to generate stationary price spread series in steel industry commodity futures market for pair trading☆14Dec 11, 2022Updated 3 years ago
- ☆11Oct 6, 2021Updated 4 years ago
- MacroEconomic Expectations Data in R using the Central Bank of Brazil API☆10Aug 12, 2022Updated 3 years ago
- SDK for building agents compatible with OpenBB Workspace☆63Jun 8, 2026Updated last week
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆97Aug 12, 2024Updated last year
- 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.
- Queries related to creating an AI Email Assistant with MindsDB and GPT4.☆12Oct 17, 2024Updated last year
- ☆12Jun 9, 2019Updated 7 years ago
- my unix-environment stuff☆16Feb 21, 2026Updated 3 months ago
- A framework that provides the methods for quantifying entropy-based local indicator of spatial association (ELSA) that can be used for bo…☆15Oct 2, 2025Updated 8 months ago
- Tradingview backtested strategies with AutoView alert configurations that match!☆15Mar 5, 2019Updated 7 years ago
- Constructing a null model and measuring the nestedness of bipartite networks☆11Jul 23, 2020Updated 5 years ago
- Python script that uses HTTP to download Google Trends data in CSV format. It provides authentication to Google services.☆40Oct 24, 2014Updated 11 years ago