quantitative-analysis

Portfolio analytics for quants, written in Python

Supercharged backtesting and technical analysis for quants

Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

Portfolio Management Framework for risk and performance analysis 投资组合管理

GPU-accelerated Factors analysis library and Backtester

An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.

A collection of methods for solving Finance/Accounting equations, implemented in C#.

A framework for systemic risk valuation and analysis.

This repository contains the customized trading algorithms that I have created using the Quantopian IDE.

量化投资

A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.

😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉

A framework for historical volatility estimation and analysis.

A framework for detecting misreported returns in hedge funds.

A framework for estimating Basel IV capital requirements.

Graphical Image Anotation Tool - Digital Humanities - electron client server application with neo4j database for a mxgraph frontend with graph analysis

Command Line Interface for ETrade accounts in python

Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.

tools for alpha research

Course Website Repo for JOURN 8006: Quantitative Research Methods in Journalism

Analytical R Tools for Mass Spectrometry

[AVI 2020] UTA4: Medical Imaging DICOM files dataset.

This repository consists several bots encoding various algorithmic trading strategies. The aim here is for absolute beginners in stock trading to get familiar with the various aspects of the market. All you need is basics of statistics and python to understand the underlying metrics and conditions utilized to make decisions. Contributions welcome.

An Excel integration of OpenGamma Strata.

Stock Portfolio Analysis using Python/Pandas

Open souce quantitative finance models and algorithms with tutorials

Case Studies in Finance: Stock Price Valuation using Black-Scholes using Brownian Motions, Investment Project comparing Stocks and Bonds, Determining Pension Fund's Premium. (Case Study Papers and Code)

Two Jupyter Notebooks written in Python, treating of time series analysis with ARIMA and its seasonal counterpart.