terragord7's repositories

AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

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AcademicQuantLab

A humble repository for academic quant strategies

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ARK-Invest-Tesla-Valuation-Model

An excerpt from our financial valuation model of Tesla

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awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

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awesome-quant

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

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chartpy

Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

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Coursera-Machine-Learning-for-Trading

https://www.coursera.org/specializations/machine-learning-trading

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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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findatapy

Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.

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finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

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FLOWUnsteady

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

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free-data-science-books

Free resources for learning data science

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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-with-R-Fourth-Edition

Machine Learning with R, Fourth Edition- published by Packt

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Metropolis

Implementation of "The Metropolis Algorithm: Theory and Examples"

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Modern-Time-Series-Forecasting-with-Python

Modern Time Series Forecasting with Python, published by Packt

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notebooker

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

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OptionCalculator-Python-Package

'OptionCalculator' class provides user-friendly functions for option pricing, arbitrage detection, visualization (and not only) without the need for intricate calculations.

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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

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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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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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qstrader

QuantStart.com - QSTrader backtesting simulation engine.

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quantstats

Portfolio analytics for quants, written in Python

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tcapy

Open source TCA (transaction cost analysis) Python library for FX spot

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