terragord7's repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
free-programming-books
:books: Freely available programming books
arch
ARCH models in Python
ARK-Invest-Tesla-Valuation-Model
An excerpt from our financial valuation model of Tesla
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Finance
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
FinanceToolkit
Transparent and Efficient Financial Analysis
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
FLOWUnsteady
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
HestonOption
The Heston model is a mathematical model used in financial mathematics to describe the dynamics of asset prices, particularly in the context of options pricing. I evaluated dividend-paying European options and American options with Heston model in Python. https://youtu.be/fzikOtbVEL8
ib_insync
Python sync/async framework for Interactive Brokers API
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Machine-Learning-with-R-Fourth-Edition
Machine Learning with R, Fourth Edition- published by Packt
market_prices
Get meaningful OHLCV datasets
notebooker
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
pandarallel
A simple and efficient tool to parallelize Pandas operations on all available CPUs
PCAVasicek
The Vasicek model is a mathematical model describing the evolution of interest rates. I explained how to use principal component analysis (PCA) for the interest rate models. I demonstrated how to calibrate Vasiceck model and how to run Monte Carlo simulations for Vasicek model. https://youtu.be/TrEnSQ2Pms4
PyPOTS
A python toolbox / library for data mining on partially-observed time series, supporting tasks of forecasting / imputation / classification / clustering on incomplete (irregularly-sampled) multivariate time series with missing values.
python-training
Python training for business analysts and traders
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.
quantstats
Portfolio analytics for quants, written in Python
stochastic
Generate realizations of stochastic processes in python.
tf-quant-finance
High-performance TensorFlow library for quantitative finance.
Tutorials-1
General Tutorials
zipline-reloaded
Zipline, a Pythonic Algorithmic Trading Library