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
☆50Jul 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
Sorting:
- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators☆10Dec 21, 2019Updated 6 years ago
- StocksALot is a cutting edge PoC for Stock Market Analysis employing OpenAI's GPT LLMs for insight inference.☆11Dec 6, 2023Updated 2 years ago
- The Stock Price Prediction App is a Streamlit-based web application that provides users with tools to analyze historical stock price data…☆32May 8, 2025Updated 9 months ago
- Python library to Fetch & Analyze Stock Market data.☆31Jul 4, 2018Updated 7 years ago
- ☆39Oct 3, 2020Updated 5 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 wavelet-based multifractal image analysis tool implementing the WTMM (Wavelet Transform Modulus Maxima) method.☆11Feb 1, 2020Updated 6 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆57Dec 29, 2020Updated 5 years ago
- An environment of open source services used for market analysis☆34Mar 23, 2023Updated 2 years ago
- An R package for forecasting volatility, using the Markov Switching Multifractal model.☆33Apr 27, 2017Updated 8 years ago
- 通过遗传算法、强化学习来自动选择高频因子☆26Jan 5, 2023Updated 3 years ago
- Stock Market Decision Support System using Deep Learning & Sentiment Analysis☆26Aug 15, 2018Updated 7 years ago
- 📈 Python package for trend detection on stock time series data 📉☆25Jun 25, 2021Updated 4 years ago
- Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news a…☆217Aug 21, 2025Updated 6 months ago
- manipulating cointegrated pairs to achieve a market-neutral strategy that outperforms indices☆12Jan 12, 2021Updated 5 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆65Jun 30, 2019Updated 6 years ago
- ☆38Jul 30, 2025Updated 7 months ago
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided …☆142Nov 10, 2020Updated 5 years ago
- This repository contains our project on Stock Market Price prediction Using Historical Data☆10Apr 25, 2021Updated 4 years ago
- Sequence diagram generator with simple text based grammar, to make it quick and easy to share ideas and document your system. Copy to cli…☆11Dec 20, 2020Updated 5 years ago
- Python utility and library for converting Nikon .nd2 files to pyramidal OME TIFF.☆12May 13, 2022Updated 3 years ago
- Operator Deep Smoothing☆14Feb 7, 2025Updated last year
- This repository contains the code for simulating the growth of a Biofilm after attachment using Molecular dynamics simulation methods. Th…☆11May 21, 2021Updated 4 years ago
- Algo options trading using machine learning.☆14Jul 16, 2021Updated 4 years ago
- This repository contains all the needed source files for several examples from Pong Chu's book: "Pong P. Chu, FPGA Prototyping by VHDL Ex…☆10Apr 2, 2022Updated 3 years ago
- A news based stock scalper using LLM and quant approach☆15Jan 16, 2025Updated last year
- ☆13Nov 12, 2022Updated 3 years ago
- Amazon Q Business enables querying structured data using natural language, leveraging schemas and metadata. This example demonstrates an …☆19Nov 13, 2024Updated last year
- ☆10Nov 6, 2018Updated 7 years ago
- Advanced trend detection and labelling for time series with Python☆21Oct 21, 2025Updated 4 months ago
- Momentum Trading Assistant (MTA) is a python program designed to replace a Momentum Trader using the Interactive Brokers Trader Workstati…☆11Jan 12, 2026Updated last month
- LSTM based stock prediction model which also uses twitter data for sentiment analysis☆14Dec 8, 2022Updated 3 years ago
- Alpaca-based Order Book Inbalace Algorithm.☆12Jul 23, 2020Updated 5 years ago
- Statistical Arbitrage & Algorithmic Trading: time series analysis and the presence of cointegration in cryptocurrency price series.☆11Jan 10, 2019Updated 7 years ago
- Use hidden Markov models to label regimes on S&P 500 data, train three classifiers (naive Bayes, logistic regression, and support vector …☆14Feb 28, 2023Updated 3 years ago
- ☆10Oct 13, 2025Updated 4 months ago
- ☆11Oct 6, 2020Updated 5 years ago
- This project is a collection of Jupyter notebooks and scientific papers that analyze Bitcoin markets using economical, financial and mach…☆16Mar 24, 2023Updated 2 years ago
- Developing, training, and assessing the performance of a Proximal Policy Optimization (PPO) Stock Trading Agent.☆14Aug 20, 2025Updated 6 months ago