peterfabakker's Stars
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
twopirllc/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
ranaroussi/quantstats
Portfolio analytics for quants, written in Python
hudson-and-thames/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
chrisconlan/algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
scrtlabs/catalyst
An Algorithmic Trading Library for Crypto-Assets in Python
quantumblacklabs/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
feature-engine/feature_engine
Feature engineering package with sklearn like functionality
jasonstrimpel/volatility-trading
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
ScottfreeLLC/AlphaPy
Python AutoML for Trading Systems and Sports Betting
IbcAlpha/IBC
Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest
michaelchu/optopsy
A nimble options backtesting library for Python
s-brez/trading-server
Multi-asset, multi-strategy, event-driven trading platform for running low to medium freq strategies at many venues simultaneously with portfolio-based risk management and %-per-strategy capital allocation. Supports event-driven backtesting across all desired instruments, venues and strategies under a single parameterized portfolio.
barnumbirr/coinmarketcap
A python wrapper around the https://coinmarketcap.com API.
Boulder-Investment-Technologies/lppls
Library for fitting the LPPLS model to data.
Andrew-Reis-SMU-2022/Options_Based_Trading
This program analyzes unusual options activity by using a weighted average based on a trade's volume to compare all of the unusual otm option trades for a expiration date for a given stock.
Th0rgal/binance.py
A python3 binance API (v3) wrapper powered by modern technologies such as asyncio. The project aims to rival python-binance.
econdb/inquisitor
Python Interface to econdb.com API
quantrocket-llc/quantrocket-client
Command line interface and Python client for QuantRocket
SergioEspinoza/PyAlgoTrading_TradingWithIB
Option strategy screening algorithms with "ib_insync" ( using Interactive Brokers market data )
zoakes/Modular_IB
Modular IB_Insync strategy --
hotchilianalytics/zipline-broker
zipline-broker, Live trading branch of zipline.
ungil/zipline-IEX-bundle
custom bundle to import IEX data into zipline (useful because the standard bundles do not include ETFs)
Kim-Nam-Il/Vigilant-Asset-Allocation
Portfoilo managing with VAA(Vigilant Asset Allocation) in ETFs.
Thiagodcv/PyHRP
A library for hierarchical risk-based portfolios which allows users to create full-investment, long-only portfolios using techniques and strategies as outlined in "Hierarchical risk parity: Accounting for tail dependencies in multi-asset multi-factor allocations" by Harald Lohre et al.
justin8/python-systemd-unit