ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
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Updated
Jun 13, 2024 - C++
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
A curated list of practical financial machine learning tools and applications.
The Swiss Army Knife of Applied Quantum Technology
Investment Research for Everyone, Everywhere.
Portfolio optimisation library.
This repository contains the code for the R Shiny tool "Interest Rate Simulation", an interactive tool for gaining intuition for one-factor equilibrium models.
Low latency Limit Order Book and Matching Engine created in C++, able to handle over 1.4 million transactions per second.
An advanced crypto trading bot written in Python
R Finance packages not listed in the Empirical Finance Task View
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
A modern quantitative finance framework that makes the complex simple
Fast minimalist backtesting, sympathetic to the quant process.
A Python framework for managing positions and trades in DeFi
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
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