terragord7's repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
AcademicQuantLab
A humble repository for academic quant strategies
ARK-Invest-Tesla-Valuation-Model
An excerpt from our financial valuation model of Tesla
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
chartpy
Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
Coursera-Machine-Learning-for-Trading
https://www.coursera.org/specializations/machine-learning-trading
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.
findatapy
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
finmarketpy
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
FLOWUnsteady
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
free-data-science-books
Free resources for learning data science
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-with-R-Fourth-Edition
Machine Learning with R, Fourth Edition- published by Packt
Metropolis
Implementation of "The Metropolis Algorithm: Theory and Examples"
Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
notebooker
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
OptionCalculator-Python-Package
'OptionCalculator' class provides user-friendly functions for option pricing, arbitrage detection, visualization (and not only) without the need for intricate calculations.
OrnsteinUhlenbeck
The Ornstein-Uhlenbeck process is a key model for mean-reverting stochastic behavior, characterized by its tendency to revert to a long-term mean, along with random fluctuations. I simulated the Ornstein-Uhlenbeck process, compared calculated parameters with theoretical parameters, analyzed first passage time. https://youtu.be/dV23py1ISs0
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
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.
qstrader
QuantStart.com - QSTrader backtesting simulation engine.
quantstats
Portfolio analytics for quants, written in Python
tcapy
Open source TCA (transaction cost analysis) Python library for FX spot