Stock Market Trend Prediction using sentiment analysis Leveraging machine learning and sentiment analysis, we accurately forecast stock market trends. Our project combines advanced algorithms like BERT and Naïve Bayes with sentiment analysis from Twitter and other sources. By analyzing sentiment and historical price data, we provide insights
☆58Jul 11, 2023Updated 2 years ago
Alternatives and similar repositories for Stock-Market-Trend-Prediction-Using-Sentiment-Analysis
Users that are interested in Stock-Market-Trend-Prediction-Using-Sentiment-Analysis are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Aug 31, 2022Updated 3 years ago
- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators☆10Dec 21, 2019Updated 6 years ago
- The Stock Price Prediction App is a Streamlit-based web application that provides users with tools to analyze historical stock price data…☆33May 8, 2025Updated last year
- ☆10Nov 6, 2018Updated 7 years ago
- Stock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)☆41May 20, 2019Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- StocksALot is a cutting edge PoC for Stock Market Analysis employing OpenAI's GPT LLMs for insight inference.☆11Dec 6, 2023Updated 2 years ago
- A news based stock scalper using LLM and quant approach☆15Jan 16, 2025Updated last year
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided …☆147Nov 10, 2020Updated 5 years ago
- Python library to Fetch & Analyze Stock Market data.☆31Jul 4, 2018Updated 7 years ago
- web visualizer for CFTC Commitment of Traders (COT) data☆14Feb 6, 2024Updated 2 years ago
- An R package for forecasting volatility, using the Markov Switching Multifractal model.☆33Apr 27, 2017Updated 9 years ago
- Developed ML/DL based a web application for stock price prediction based on real-time data.☆32Jul 5, 2023Updated 2 years ago
- Neural Networks for Sentiment Analysis in the Cryptocurrency Market☆36Jul 18, 2022Updated 3 years ago
- Streamlit template for building SMART on FHIR apps in the Cerner ecosystem.☆11Sep 22, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Polymarket copy-trading CLI — track smart money, backtest, and auto-copy trades☆31Mar 2, 2026Updated 3 months ago
- Spec-driven multi-agent orchestration — autonomous development workforce powered by Claude & OpenHands☆64May 30, 2026Updated last week
- a wavelet-based multifractal image analysis tool implementing the WTMM (Wavelet Transform Modulus Maxima) method.☆11Feb 1, 2020Updated 6 years ago
- These lectures are from quantopian☆10Nov 25, 2020Updated 5 years ago
- An environment of open source services used for market analysis☆35Mar 23, 2023Updated 3 years ago
- Mock pairs trading strategy and backtesting with Kalman iltering and pair selection using clustering and cointegration.☆15Aug 28, 2022Updated 3 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆69Jun 30, 2019Updated 6 years ago
- There are the codes needed for the paper: Wasserstein K-means for clustering probability distributions☆19Oct 20, 2022Updated 3 years ago
- Scripts for scraping the Heavens Above website and putting its information into iCal.☆17Dec 28, 2012Updated 13 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.
- Source code used in the blog☆12Feb 6, 2024Updated 2 years ago
- This project is essentially the implementation of the paper “Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time …☆23Sep 22, 2020Updated 5 years ago
- A Practical Application of Hidden Markov Model to Kalman Filter-Based Pairs Trading☆21May 4, 2021Updated 5 years ago
- The specialization provides the knowledge and practical skills necessary to develop a strong foundation on core paradigms of machine lear…☆23Jun 15, 2020Updated 5 years ago
- Python utility and library for converting Nikon .nd2 files to pyramidal OME TIFF.☆12May 13, 2022Updated 4 years ago
- manipulating cointegrated pairs to achieve a market-neutral strategy that outperforms indices☆11Jan 12, 2021Updated 5 years ago
- A Python script for generating price databases for various commodities (bitcoin, litecoin, ppcoin, gold, silver, etc.)☆15Jun 3, 2013Updated 13 years ago
- This is a new deep-learning pipeline for AMP predictions☆16Apr 18, 2026Updated last month
- ☆37Jul 30, 2025Updated 10 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.
- ☆12Oct 24, 2022Updated 3 years ago
- 通过遗传算法、强化学习来自动选择高频因子☆27Jan 5, 2023Updated 3 years ago
- Openclaw 🦞 AI Polymarket Trading Bot — TypeScript bot built with Openclaw AI agent. Predicts crypto price on Polymarket 5m BTC Up/Down m…☆40May 4, 2026Updated last month
- Stock Market Decision Support System using Deep Learning & Sentiment Analysis☆26Aug 15, 2018Updated 7 years ago
- TweetFinSent: A Dataset of Stock Sentiments on Twitter☆13Jul 7, 2022Updated 3 years ago
- This course will introduce the student to classic machine learning algorithms and deep neural network structures. The style will be first…☆26Feb 23, 2026Updated 3 months ago
- Python script to download all historical FX data from www.truefx.com☆10May 22, 2023Updated 3 years ago