There are 40 repositories under quantitative-analysis topic.
Portfolio analytics for quants, written in Python
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
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#.
📚 🐣 软件实践文集。主题不限,思考讨论有趣有料就好,包含如 系统的模型分析/量化分析、开源漫游者指南、软件可靠性设计实践、平台产品的逻辑与执行… 🥤
量化投资
A framework for systemic risk valuation and analysis.
Vanilla option pricing and visualisation using Black-Scholes model in pure Python
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
Automated, open source crypto trading and backtesting platform
A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.
A dockerized Jupyter quant research environment.
本仓库为公众号FinHack炼金术《从零开始卷量化》系列文章示例代码,带你零基础入门量化交易!
This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The investment system pipeline has been implemented including data acquirement, data preprocessing, model tuning and selection based on the XGBoost boosted tree model.
😲🤑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📊 📈 📉
Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.
extensive Python library for rock physics modelling
A framework for historical volatility estimation and analysis.
Beginner friendly guide into the world of investing, quant data analysis and algorithmic trading.
Stock Portfolio Analysis using Python/Pandas
Quantitative analysis of Fixed Income Securities, including bond pricing models, yield curve fitting, PCA analysis, bond returns predictability and fixed income derivatives.
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.
Quantitative analysis of fundamentals in quarterly reports by Machine Learning
Open souce quantitative finance models and algorithms with tutorials
A framework for estimating Basel IV capital requirements.
[AVI 2020] UTA4: Medical Imaging DICOM files dataset.
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)
Graphical Image Anotation Tool - Digital Humanities - electron client server application with neo4j database for a mxgraph frontend with graph analysis
A framework for detecting misreported returns in hedge funds.
everything quantitative finance related