The next best thing after Bloomberg Terminal

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

A program for financial portfolio management, analysis and optimisation.

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Python package designed for general financial and security returns analysis.

AI and data-driven quantitative portfolio management for risk and performance analytics 投资组合管理

MorningStar.com scraper that consolidates tens of thousands of financial records into a SQLite relational database. Class 'dataframes' easily converts the SQLite data into pandas DataFrames (see Jupyter notebook for examples)

R Shiny app to compare the relative performance of cryptos and equities.

Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

SilverFir: Investment Report 🌲                       Инвестиционный отчёт в гугл доках, куда можно добавить любой актив и скачивать цену автоматически

Displays corporate earnings and fundamentals in the easy to analyze format

Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.

Code and data for my blogs

实验室工作实录，一个二导

Stock Market Analysis

GotoLong Investor Stock Advisor: Indian Stock Market BSE 500 & NSE 500

Blue Blood Engine - quantitative trading strategies integration and indexing platform.

Data repository of JSON files that are filed by US Senators on efdsearch.senate.gov where they must report their stock trades. This is the same data as on senatestockwatcher.com

Long Term Investment Projects

Simplified tracking of your investments

This is a repository for all the lab session in the "Investment Management with Python and Machine Learning Specialization" Offered By EDHEC Business School and Hosted by Coursera.

Quant Portfolio Approach to Alpha Generation and Retention

Daily kata from Quantitative Investment Portfolio Analytics In R

Terminal investment strategy analysis, parametrically driven by changing demand scenarios.

Understand the global trends in investments so that we can make the investment decisions effectively.

A project with tools for simple timeseries analysis

XIRR (using Python) to calculate return on investments done at different time periods which need not be periodic.

Machine Learning Key Projects

A program to scrape zoopla for housing data