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Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Examples of code related to book www.systematictrading.org and blog qoppac.blogspot.com
QuantSoftwareToolkit
Library for fitting the LPPLS model to data.
High-performance technical analysis indicators and backtesting framework in TypeScript. Zero dependencies. ✨ See how! 👀
Lightweight Python library for assembling and analysing financial data
Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant BRAIN
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Quantitative Finance and Algorithmic Trading
No description.
A python wrapper around the https://coinmarketcap.com API.
Open Source Algorithmic Trading Engine
Fast, easy automatic differentiation in C++
QLNet C# Library
Toolkit for integration and analysis
Financial maths library for risk-neutral pricing and risk
Python interface to IEX and IEX cloud APIs
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
Quant DSL
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
A fast, extensible, transparent python library for backtesting quantitative strategies.
Time series toolkit for Julia
A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full curveset construction with market standard optimisers and automatic differentiation (AD) and risk sensitivity calculations including delta and cross-gamma.
Technical analysis and other functions to construct technical trading rules with R
Fast and scalable construction of risk parity portfolios
Python client for interacting with the Tiingo Financial Data API (stock ticker and news data)
Basic options pricing in Python