- Berlin, Germany
- https://unravel.finance
- @almostintuitive
Stars
Snippets to get started with Unravel's API
Library to download all filings from EDGAR - from the SEC
Applied Quantiative (Portfolio) Risk Management
Transparent and Efficient Financial Analysis
Systematic trading strategies (for crypto assets), using alternative (on-chain, sentiment) data.
Full lists of US Securities on the NASDAQ, NYSE, and AMEX powered by GitHub Actions
A multi-factor equity risk model for quantitative trading.
A high-performance algorithmic trading platform and event-driven backtester
Automatically deploy self-hosted GitHub runner in the Hetzner Cloud
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Bringing Http/Https and WebSockets High Performance servers for PyPy3 and Python3
Showcasing Causality Group's benchmark data through a data loading library and a signal backtesting example.
vix_utils provides command line tools and a a Python API for preparing data for analysing the VIX Futures and Cash Term structures. Term Structure data can be exported to excel (.xslx), csv, and pi…
Distributed task queue with full async support
A collection of tips, tricks and links to help you speed up your pytest suite.
Fast minimalist backtesting, sympathetic to the quant process.
Natural Gradient Boosting for Probabilistic Prediction
A portfolio optimization tool with scikit-learn interface. Hyperparameters selection and easy plotting of efficient frontiers.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Pulumi - Infrastructure as Code in any programming language 🚀
Autoscaling Self-Hosted GitHub Actions Runners on Hetzner Cloud.
Numba-accelerated statistical distributions
mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
GPU-accelerated Factors analysis library and Backtester