gandalf1819 / Stock-Market-Sentiment-Analysis
Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news articl…
☆121Updated 4 years ago
Alternatives and similar repositories for Stock-Market-Sentiment-Analysis:
Users that are interested in Stock-Market-Sentiment-Analysis are comparing it to the libraries listed below
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆87Updated 4 years ago
- Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers t…☆101Updated last year
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆62Updated 5 years ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learning☆76Updated 5 years ago
- Stock Fundamental Analysis using Machine Learning Classification Models☆103Updated 3 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆47Updated 4 years ago
- A collection of notebooks I used in my Medium articles.☆140Updated 2 years ago
- Algorithmic Trading using Sentiment Analysis on News Articles☆169Updated 4 years ago
- SheikhRabiul / A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-MarketIllegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acq…☆100Updated 6 years ago
- Sentiment Analysis of news on stock prices☆125Updated last year
- Project on building a web crawler to collect the fundamentals of the stock and review their performance in one go☆74Updated 4 years ago
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆72Updated 4 years ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆135Updated last year
- 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…☆45Updated 4 years ago
- Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the com…☆208Updated last year
- Including packages that frequently used in quantitative finance field and how to implement classic financial model in Quantopian.☆48Updated 6 years ago
- Picking stocks through various screening methods. Focus on Northern Europe.☆138Updated 2 years ago
- Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.☆124Updated 5 years ago
- A machine learning program that is able to recognize patterns inside Forex or stock data☆151Updated 5 years ago
- Using a dataset of hedge fund indices, I had computed various risk parameters, explicitly Value at risk (VaR), drawdown and deviation fro …☆22Updated 4 years ago
- Stock Scanner & Screener: A yfinance-based Stock Scanner and Screener, focusing on Fundamental Properties of scanned stocks.☆143Updated last year
- Algorithmic trading using machine learning.☆113Updated 7 years ago
- A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.☆89Updated last year
- ☆125Updated 6 years ago
- Some notebooks with powerful trading strategies.☆91Updated 4 years ago
- Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Por…☆214Updated 5 years ago
- Repo for storing all blogs written on https://tradewithpython.com/☆118Updated 2 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 5 years ago
- ☆39Updated 3 years ago
- Stock analysis/prediction model using machine learning☆187Updated 7 years ago