Investment Research for Everyone, Everywhere.
-
Updated
Jun 12, 2024 - Python
Investment Research for Everyone, Everywhere.
Modelling the single factor and multi factor credit risk portfolio distribution for commercial loans.
An interest rate calculator based on Basel III's [Standardised Approach (SA) for measuring Counterparty Credit Risk (CCR) exposures.
Indicator is a Golang module providing various stock technical analysis indicators for trading.
Stock Market "Gap Up" Screener - Financial market capitalizations (IEX Cloud API).
Implemented and tested robust portfolio optimization strategies, comparing their performance against the S&P300
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Low latency Limit Order Book and Matching Engine created in C++, able to handle over 1.4 million transactions per second.
Collection of publicly available quant resouces.
输入一个Tick时间,输出不同周期的K线结束时间(A股 东方财富期货 数字货币)
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A curated list of practical financial machine learning tools and applications.
请访问 😄www.jieyu.ai和公众号🫶量化风云
The Official Python SDK for Alpaca API
The Swiss Army Knife of Applied Quantum Technology
Add a description, image, and links to the quantitative-finance topic page so that developers can more easily learn about it.
To associate your repository with the quantitative-finance topic, visit your repo's landing page and select "manage topics."