terragord7's repositories

AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

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Efficient_Python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

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FinancePy

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

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free-programming-books

:books: Freely available programming books

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arch

ARCH models in Python

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ARK-Invest-Tesla-Valuation-Model

An excerpt from our financial valuation model of Tesla

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awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

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Finance

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

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FinanceToolkit

Transparent and Efficient Financial Analysis

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financial-machine-learning

A curated list of practical financial machine learning tools and applications.

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FLOWUnsteady

An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy

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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

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ib_insync

Python sync/async framework for Interactive Brokers API

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machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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Machine-Learning-with-R-Fourth-Edition

Machine Learning with R, Fourth Edition- published by Packt

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market_prices

Get meaningful OHLCV datasets

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notebooker

Productionise & schedule your Jupyter Notebooks as easily as you wrote them.

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pandarallel

A simple and efficient tool to parallelize Pandas operations on all available CPUs

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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

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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.

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python-training

Python training for business analysts and traders

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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.

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quantstats

Portfolio analytics for quants, written in Python

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stochastic

Generate realizations of stochastic processes in python.

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tf-quant-finance

High-performance TensorFlow library for quantitative finance.

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Tutorials-1

General Tutorials

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zipline-reloaded

Zipline, a Pythonic Algorithmic Trading Library

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