Ashishsinha10 / stock-market-analysis-using-python-numpy-pandas
The aim of the project was to extract information about various technology stocks mainly - Google, Apple, Microsoft and Amazon from the online stock trading sites - Yahoo Finance and to visualize different aspects of the stocks like the Adjusted Closing Prices, Volumes of stocks traded on a particular day, moving averages of the closing price-to…
☆20Updated 7 years ago
Alternatives and similar repositories for stock-market-analysis-using-python-numpy-pandas:
Users that are interested in stock-market-analysis-using-python-numpy-pandas are comparing it to the libraries listed below
- ☆13Updated 2 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆46Updated 4 years ago
- Cointegration Test in python☆28Updated 6 years ago
- Streamlit app that shows the seasonal returns of a stock http://aroussi.com/seasonality☆20Updated 2 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 6 years ago
- Project description: https://medium.com/@tzhangwps/measuring-financial-turbulence-and-systemic-risk-9d9688f6eec1?source=friends_link&sk=1…☆26Updated 2 months ago
- ☆11Updated 4 years ago
- Visualising correlations between different ETFs using network analytics and Plotly☆34Updated 3 years ago
- A dashboard for macroeconomic and stock market data built with Python and Dash.☆31Updated 2 years ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learning☆75Updated 5 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 5 years ago
- Tools for stock options trading: finding best cash covered put and covered call to see, find best call to buy, etc. Keywords: Implied Vo…☆42Updated last month
- Capital Asset Pricing Model implementation in python to analyze stock risk and return.☆26Updated 3 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…☆45Updated 4 years ago
- ☆22Updated 5 years ago
- Find trading pairs with Machine Learning☆41Updated 3 years ago
- Mean Reversion Trading Strategy☆24Updated 4 years ago
- ☆35Updated 3 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
- Simple VectorBT Streamlit Backtesting App☆16Updated last year
- Simulation of Financial Models, Valuation Framework, Derivatives and Portfolio Valuation, Volatility Options☆24Updated 4 years ago
- Jupyter notebooks on portfolio construction and analysis - EDHEC☆43Updated 5 years ago
- A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.☆67Updated 4 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆46Updated 4 years ago
- Contains the code for my financial machine learning articles☆50Updated 4 years ago
- Algorithmic Short-Selling with Python☆105Updated 3 years ago
- A Python script to generate buy/sell signals using Simple moving average(SMA) and Exponential moving average(EMA) Crossover Strategy.☆25Updated 4 years ago
- ☆59Updated 2 years ago
- Pairs trading strategy that includes a research pipeline for identifying and selecting pairs. Tests all possible pairs in a universe for …☆35Updated last year
- Dispersion Trading using Options☆32Updated 8 years ago