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Type: Organization
Type: Organization
Small project to build a valuation model for an Asset-Backed Securities (ABS) using Python.
Web scraper for ABS-EE filings.
Use unsupervised and supervised learning to predict stocks
📊 Easy plug-and-chug discounted cash flow model framework that allows for advanced modeling and sensitivity tests.
Financial investment modeling and advanced engineering economics using Python
Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.
A Python library for generating discounted cashflows.
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
A list of online resources for quantitative modeling, trading, portfolio management
ffn - a financial function library for Python
A python library for Fixed-income data and valuation.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Morningstar API Client
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
Experiments with PM4py, the python library for process mining.
Useful functions to analyze Asset Backed Securities deals
Educational repository for all materials for using python (pandas, koalas and pyspark) for finance.
Python training for business analysts and traders
Python quantitative trading strategies including Pattern Recognition, CTA, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Top training materials in quantitative finance
Project to generate interactive app for stock market analysis using Python
This project extracts data from EX-102 exhibits for Commercial Mortgage Backed Securities (CMBS) and stores it in an ElasticSearch index. It creates one document for each property and geocodes its street address.
Python detailed web scraping tutorials for dummies with financial data crawlers on CME (both futures and options), US Treasury, CFTC, LME, SHFE and news data crawlers on BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, Fortune, The Economist
Parsing Raw XBRL to JSON
Check Medium article for info
Yahoo! Finance market data downloader (+faster Pandas Datareader)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.