Quant Finance with Python and Pandas | 50 Concepts you NEED to Know in 9 Minutes | [Getting Started]
Daniel Boctor
@danielboctorAbout
I tell computers what to do I'm just here to share my experiences throughout my ongoing journey of computer science and software engineering studies. I have a passion for learning, and I hope you do too. I'm going into my 4th year of University, and am currently interning as a software engineer at Cisco Meraki.
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Video Description
The first video in a Python, NumPy, Pandas, and Matplotlib based based computational / quant finance series, spanning from stochastic modelling and portfolio insurance, to asset pricing , factor regressions, data visualization, and everything in-between. Source code - https://github.com/daniel-boctor/Daniel-Boctor-Youtube/blob/main/Finance101/finance.ipynb 0:00 - Intro 0:17 - Data Source 1:00 - Information Preparation 2:09 - Returns 4:18 - DataFrame 5:03 - Measures of Risk 5:18 - Annualization 6:31 - Raw Sharpe Ratio 6:52 - Wealth Index 7:37 - Drawdowns 8:45 - Outro
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