AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
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The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
- data-science
- deep-learning
- finance
- financial-data
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
- algotrading
- backtesting
- bollinger-bands
- cryptocurrency
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant
The framework for quantification of neuronal anatomy
- neuroscience
- neuroanatomy-toolbox
- imagej
- imagej2
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
- cryptocurrency
- exchange
- trade
- data
Personal website
- r
- tidymodels
- tidyverse
- quarto
A Python toolkit for quantum neural networks.
End-to-end encryption for data at rest: a C library and CLI with recoverable keys, post-quantum (ML-KEM) key exchange, and user-to-user sharing
- encryption
- stream-encryption
- aes-256-gcm
- ecdh
💸 Papers and Code Implements for Quantitative-Trading
Material Design color palette for your Sass projects.
Coherence is cryptographic server for modern web apps
- crytography
- tcp-server
- json
- hash
Translated[Maintenance stopped] New version updates have been moved to the correspondingly named project under the IBATS project group. Connects to the Huobi exchange to get real-time and historical Huobi market data, saves it to a MySQL database and broadcasts it via Redis, for the ABAT trading platform to use for strategy backtesting, analysis, and trading.
- python
- python36
- huobi
- huobipro
A common lisp library that provides a numeric type with optional unit and/or uncertainty for computations with automatic error propagation.
Coq plugin providing tactics for rewriting universally quantified equations, modulo associative (and possibly commutative) operators [maintainer=@palmskog]
- coq-plugin
- coq-tactic
- coq
- docker-coq-action
AI-Powered Quantitative Trading Engine — Evolve strategies with genetic algorithms
Multi-platform quantum programming library, written in TypeScript, good for JS/NodeJS
- quantum-computing
- quantum-programming-language
- quantum
Material Design drop shadows for your Sass projects.
Qurry (was) a prototype for a functional quantum programming language. It incorporated many aspects of functional programming (Haskell, Clojure), but also took standard design philosophies from C++, Python, and other "traditional" languages. [category: quantum]
Quanfima (Quantitative Analysis of Fibrous Materials)
- data-analysis
- material-science
- volumetric-data
- morphological-analysis
A implementation of Shor's algorithm written in Python calling Q# for the quantum part
- qsharp
- python3