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Udemy - Quantitative Finance & Algorithmic Trading in Python [Course Drive]

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Udemy - Quantitative Finance & Algorithmic Trading in Python [Course Drive] (Size: 662.38 MB)
  Course Downloaded from coursedrive.org.txt 538 B
  Quantitative Finance & Algorithmic Trading in Python
  01 Introduction
  001 Introduction.mp4 2.62 MB
  002 Course Materials.html 434 B
  003 Why to use Python.mp4 6.41 MB
  004 Financial models.mp4 5.91 MB
  Must Read.txt 540 B
  Visit Coursedrive.org.url 124 B
  02 Stock Market Basics
  005 Present value future value of money.mp4 10.61 MB
  006 Time value of money implementation.mp4 7.23 MB
  007 Stocks shares.mp4 10.02 MB
  008 Commodities.mp4 2.62 MB
  009 Currencies and the FOREX.mp4 8.11 MB
  010 Fundamental terms short and long.mp4 3.84 MB
  03 Bonds
  011 Bonds basics.mp4 6.29 MB
  012 Bond price and interest rate.mp4 6.39 MB
  013 Bond price and maturity.mp4 4.19 MB
  014 Bonds pricing implementation.mp4 9.22 MB
  quizzes
  001 Stock Markets Basics.html 4.12 KB
  04 Modern Portfolio Theory Markowitz-model
  015 The main idea - diverzification.mp4 10.6 MB
  016 Mathematical formulation.mp4 9.68 MB
  017 Expected return of the portfolio.mp4 10.75 MB
  018 Expected variance risk of the portfolio.mp4 9.9 MB
  019 Efficient frontier.mp4 11.46 MB
  020 Sharpe ratio.mp4 6.48 MB
  021 Capital allocation line.mp4 7.03 MB
  022 Modern Portfolio Theory implementation - getting data from Yahoo.mp4 14.1 MB
  023 Modern Portfolio Theory implementation - weights.mp4 19.81 MB
  024 Modern Portfolio Theory implementation - mean and variance.mp4 10.01 MB
  025 Modern Portfolio Theory implementation - Monte-Carlo simulation.mp4 14.4 MB
  026 Modern Portfolio Theory implementation - optimization.mp4 26.49 MB
  027 UPDATE order of stocks.html 717 B
  ReadMe.txt 538 B
  Visit Coursedrive.org.url 124 B
  quizzes
  002 Markowitz Model Quiz.html 4.61 KB
  05 Capital Asset Pricing Model CAPM
  028 Systematic and unsystematic risk.mp4 4.45 MB
  029 Capital asset pricing model formula.mp4 8.16 MB
  030 The beta value.mp4 10.26 MB
  031 Capital asset pricing model and linear regression.mp4 5.61 MB
  032 Capital asset pricing model implementation I.mp4 10.1 MB
  033 Capital asset pricing model implementation II.mp4 13.41 MB
  034 Capital asset pricing model implementation III.mp4 10.7 MB
  quizzes
  003 Capital Asset Pricing Model Quiz.html 3.94 KB
  06 Derivatives Basics
  035 Introduction to derivatives.mp4 3.66 MB
  036 Future contracts.mp4 5.67 MB
  037 Interest rate swaps.mp4 4.28 MB
  038 Options basics.mp4 5.03 MB
  039 Call option.mp4 10.11 MB
  040 Put option.mp4 5.79 MB
  041 American and european options.mp4 4.77 MB
  ReadMe.txt 538 B
  Visit Coursedrive.org.url 124 B
  quizzes
  004 Derivatives Basics Quiz.html 4.57 KB
  07 Random Behaviour in Finance
  042 Types of analysis.mp4 10.1 MB
  043 Random behaviour of returns.mp4 9.04 MB
  044 Winer-process.mp4 10.61 MB
  045 Stochastic calculus introduction.mp4 8.64 MB
  046 Itos lemma in higher dimensions.mp4 10.25 MB
  047 Brownian-motion implementation.mp4 9.21 MB
  quizzes
  005 Random Behaviour Quiz.html 2.77 KB
  08 Black-Scholes Model
  048 Black-Scholes model introduction - the portfolio.mp4 13.5 MB
  049 Black-Scholes model introduction - dynamic delta hedge.mp4 12.61 MB
  050 Black-Scholes model introduction - no arbitrage principle.mp4 9.5 MB
  051 Solution to Black-Scholes equation.mp4 7.85 MB
  052 The greeks.mp4 9.03 MB
  053 Black-Scholes model implementation I.mp4 12.92 MB
  054 Black-Scholes model implementation II - Monte-Carlo.mp4 24.92 MB
  055 How to make money with Black-Scholes model.mp4 3.89 MB
  056 Long Term Capital Management LTCM.mp4 12.54 MB
  quizzes
  006 Black-Scholes Model Quiz.html 3.95 KB
  09 Value At Risk VaR
  057 What is Value-at-Risk.mp4 6.62 MB
  058 Value-at-Risk introduction.mp4 15.53 MB
  059 Value at risk implementation I.mp4 13.19 MB
  060 Value at risk implementation II - Monte-Carlo simulation.mp4 15.53 MB
  ReadMe.txt 538 B
  Visit Coursedrive.org.url 124 B
  quizzes
  007 Value at Risk Quiz.html 3.33 KB
  10 Machine Leaning in Finance
  061 What is machine learning.mp4 12.98 MB
  062 Logistic regression introduction.mp4 7.08 MB
  063 Logistic regression implementation.mp4 28.15 MB
  064 K-nearest neighbor kNN classifier introduction.mp4 15.86 MB
  065 K-nearest neighbor kNN classifier implementation.mp4 10.36 MB
  066 Support vector machine SVM introduction.mp4 14.74 MB
  067 Support vector machine SVM implementation.mp4 10.5 MB
  quizzes
  008 Machine Learning Quiz.html 3.04 KB
  11 Long-Term Investing
  068 Value investing.mp4 6.25 MB
  069 Efficient market hypothesis.mp4 4.8 MB
  12 BONUS
  070 DISCOUNTS FOR OTHER COURSES.html 3.31 KB
  ReadMe.txt 538 B
  Visit Coursedrive.org.url 124 B
  ReadMe.txt 538 B
  Visit Coursedrive.org.url 124 B
  Visit Coursedrive.org.url 124 B

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!



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