Attempt to predict future stock prices based on Google Trends data.
☆126May 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
- 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
- This Jupyter Notebook shows how to obtain hourly long term Google Trends data with proper scaling.☆18May 3, 2019Updated 7 years ago
- Python package to get the full time series for any search query with daily frequency.☆20Apr 12, 2026Updated 4 months ago
- Model news data in short, medium and long term for stock price trend prediction☆19Feb 12, 2018Updated 8 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 detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆26Mar 29, 2024Updated 2 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 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
- A pairs trade is a market neutral trading strategy enabling traders to profit from virtually any market conditions. This strategy is cate…☆23Nov 21, 2021Updated 4 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆24Aug 12, 2017Updated 9 years ago
- ☆11Oct 24, 2025Updated 9 months ago
- Pair Trading Analysis & Exercises Toolkit [Jupyter Notebook]☆13Nov 3, 2023Updated 2 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
- 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
- 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.
- Sentiment Analysis and Trend Monitoring to Predict Cryptocurrency Market Movements☆15Nov 14, 2018Updated 7 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
- ☆15Apr 8, 2020Updated 6 years ago
- 📈 如何用深度强化学习自动炒股☆13Mar 31, 2020Updated 6 years ago
- ☆27Oct 2, 2017Updated 8 years ago
- Implementation for "Statistical arbitrage in the US equities market" by Marco Avellaneda and Jeong-hyun Lee☆28Dec 10, 2018Updated 7 years ago
- Low latency high throughput GDAX orderbook analysis engine and trading bot☆13Mar 24, 2018Updated 8 years ago
- A scraper made using beautiful soup 4 in python. Tailor made for extracting news from moneycontrol.com. Issue pull request for different …☆12Jun 21, 2020Updated 6 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.
- 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
- Queries related to creating an AI Email Assistant with MindsDB and GPT4.☆12Oct 17, 2024Updated last year
- 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
- Reconstruct daily trends data over extended period☆50Sep 14, 2023Updated 2 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…☆34Jan 18, 2021Updated 5 years ago
- A program I wrote that scraped the top 20 movers on Robinhood and performed analysis of tech indicators using AlphaVantage. Recommended s…☆10Sep 12, 2019Updated 6 years ago
- Algorithmic trading utilizing Heikin-Ashi candlestick plotting☆20Apr 24, 2020Updated 6 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
- An intuitive and easy to use interface for converting live and tv poker hands to a PokerStars Hand History file format.☆13Mar 27, 2026Updated 4 months 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.
- ☆11Oct 6, 2021Updated 4 years ago
- 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 2 years ago
- ☆13Jun 9, 2019Updated 7 years ago
- ☆33Sep 12, 2025Updated 11 months ago
- This contains our project for the course Data Mining, titled Stock Market Predictor. The project applies various Models (such as ARIMA, S…☆12Apr 21, 2020Updated 6 years ago
- Day-Trading algorithm using LSTM to predict intraday stock movement☆19Nov 24, 2018Updated 7 years ago
- 【Framework】A Multi Factor Strategy based on XGboost, its my homework project in Tsinghua, the Introduction to Quantitative Finance, 2019 …☆19Dec 17, 2022Updated 3 years ago