sardarosama / Stock-Market-Trend-Prediction-Using-Sentiment-Analysis
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
☆21Updated last year
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
- A library of quantiative algorithms for algorithmic trading implemented with Python☆59Updated 3 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆57Updated 4 years ago
- In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EM…☆39Updated 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…☆60Updated 5 years ago
- ☆74Updated 8 months ago
- ☆37Updated 4 years ago
- 📈This repo describes a framework that leverages sentiment stability of a financial 10-K report as the trading signal (alpha factor)☆11Updated 4 years ago
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆43Updated 4 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆37Updated 3 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆27Updated 5 years ago
- Learn how to research fundamental factors using Pipeline, Alphalens, and Sharadar price and fundamental data.☆11Updated 10 months ago
- Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and …☆24Updated 10 months ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆126Updated last year
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 5 years ago
- ☆21Updated 3 years ago
- A financial trading method using machine learning.☆59Updated last year
- Topic : Option trading Strategies , B&S , Implied Volatility &Stochastic & Local Volatility , Geometric Brownian Motion.☆22Updated last year
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆63Updated 4 years ago
- ☆17Updated 8 years ago
- Jupyter notebooks and data files of the new EDHEC specialization on quantitative finance (completed Aug 2022)☆40Updated 2 years ago
- The book <Advanced Algorithmic Trading> and its source code☆58Updated 7 years ago
- Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regressio…☆20Updated 4 years ago
- LSTM based stock prediction model which also uses twitter data for sentiment analysis☆13Updated 2 years ago
- High Frequency Jump Prediction Project☆35Updated 4 years ago
- A python command line tool to calculate options max pain for a given company symbol and options expiry date.☆22Updated last year
- Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treas…☆47Updated this week
- Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Mod…☆39Updated 4 years ago
- Mean-Variance Optimization using DL (pytorch)☆30Updated 2 years ago
- Stock Price Prediction☆19Updated 5 months ago