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[Udemy] - Quantitative Finance & Algorithmic Trading in Python

Torrent: [Udemy] - Quantitative Finance & Algorithmic Trading in Python
Description:

Quantitative Finance & Algorithmic Trading in Python Download

Stock market, Markowitz-portfolio theory, CAPM, Black-Scholes formula, value at risk, monte carlo simulations, FOREX



What you'll learn

Understand stock market fundamentals
Understand the Modern Portfolio Theory
Understand the CAPM
Understand stochastic processes and the famous Black-Scholes mode
Understand Monte-Carlo simulations
Understand Value-at-Risk (VaR)

Requirements

You should have an interest in quantitative finance as well as in mathematics and programming!

Description

This course is about the fundamental basics of financial engineering. First of all you will learn about stocks, bonds and other derivatives. The main reason of this course is to get a better understanding of mathematical models concerning the finance in the main. Markowitz-model is the first step. Then Capital Asset Pricing Model (CAPM). One of the most elegant scientific discoveries in the 20th century is the Black-Scholes model: how to eliminate risk with hedging. Nowadays machine learning techniques are becoming more and more popular. So you will learn about regression, SVM and tree based approaches.

IMPORTANT: only take this course, if you are interested in statistics and mathematics !!!

Section 1:

installing Python

stock market basics

Section 2:

what are bonds

how to calculate the price of a bond

Section 3:

what is modern portfolio theory (Markowitz-model)

efficient frontier and capital allocation line

sharpe ratio

Section 4:

what is capital asset pricing model (CAPM)

beta value and market risk

Section 5:

derivatives basics

options (put and call options)

random behaviour

stochastic calculus and Ito's lemma

brownian motion

Black-Scholes model

Section 6:

what is value at risk (VaR)

Monte-Carlo simulation

Section 7:

machine learning in finance

how to forecast future stock prices

SVM, k-nearest neighbor classifier and logistic regression

Section 8:

long term investing (the Warren Buffer way)

efficient market hypothesis



Thanks for joining my course, let's get started!

Who this course is for:

Anyone who wants to learn the basics of financial engineering!



Visit For More udemy free courses

Downloads: 53
Category: Other/Tutorials
Size: 662.4 MB
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Added: 2019-07-16 13:07:54
Language: English
Peers: Seeders : 0 , Leechers : 0
Release name: [Udemy] - Quantitative Finance & Algorithmic Trading in Python
Trackers:

UDP://TRACKER.LEECHERS-PARADISE.ORG:6969/ANNOUNCE





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