harsh14796 / Stock-Market-Analysis-With-PythonLinks
Performing the Financial Analysis on Historic Stock Market Data such as calculating various risks, returns,etc.
☆23Updated 7 years ago
Alternatives and similar repositories for Stock-Market-Analysis-With-Python
Users that are interested in Stock-Market-Analysis-With-Python are comparing it to the libraries listed below
Sorting:
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆64Updated 6 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆92Updated 5 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆96Updated last year
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆81Updated 5 years ago
- Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies…☆36Updated 5 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆51Updated 5 years ago
- Project on building a web crawler to collect the fundamentals of the stock and review their performance in one go☆78Updated 4 years ago
- Robo-advisor☆43Updated last year
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided …☆140Updated 5 years ago
- Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to tra…☆57Updated 4 years ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learning☆79Updated 6 years ago
- A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.☆91Updated 2 years ago
- Source Codes for "Contrarian Trading Strategies in Python"☆80Updated 3 years ago
- applications for risk management through computational portfolio construction methods☆43Updated 5 years ago
- Stock Fundamental Analysis using Machine Learning Classification Models☆105Updated 4 years ago
- Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers t…☆103Updated 2 years ago
- Backtesting toolbox for trading strategies☆114Updated last year
- Picking stocks through various screening methods. Focus on Northern Europe.☆140Updated 3 years ago
- Financial Analysis in Python☆35Updated 6 years ago
- A collection of various computational methods to optimize a user's investment portfolio using Modern Portfolio Theory and optimizing vari…☆41Updated 5 years ago
- ☆54Updated 7 years ago
- Including packages that frequently used in quantitative finance field and how to implement classic financial model in Quantopian.☆48Updated 7 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆37Updated 7 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆49Updated 4 years ago
- Using Natural Language Processing we developed working prototype of Sentiment analyser of NEWS☆36Updated 8 years ago
- This program analyzes unusual options activity by using a weighted average based on a trade's volume to compare all of the unusual otm op…☆69Updated 3 years ago
- Is it possible to find which stocks will perform well in the future by looking at past financial data?☆25Updated 5 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆75Updated 6 years ago
- Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.☆43Updated 2 years ago
- Using a dataset of hedge fund indices, I had computed various risk parameters, explicitly Value at risk (VaR), drawdown and deviation fro…☆26Updated 5 years ago