Quantitative Finance with Python

Learn to Analyze Financial Markets using Python, Data Science, Machine Learning and Technical Analysis.

4.11 (266 reviews)
Udemy
platform
English
language
Investing & Trading
category
Raj Chhabria
instructor
Quantitative Finance with Python
38,390
students
4 hours
content
Nov 2022
last update
$54.99
regular price

What you will learn

Develop a solid understanding about different Financial Markets like Stock Market, Forex Market, Bond Market and Commodity market.

Learn to Predict Stock Prices and Market Trends using Machine Learning.

You will learn to analyze different Financial Assets using the tools and concepts of Technical Analysis like support, resistance and moving averages.

Manage Risk and learn the art of optimal money management and portfolio diversification using Kelly Criterion.

This course will teach you about different Financial Theories like Efficient Market Hypothesis, Random Walk Theory and Modern Portfolio Theory.

Learn to Evaluate the risk and volatility adjusted return of a portfolio using Sharpe Ratio.

Learn to Predict Stock Prices using LSTM Neural Network.

Learn the complex concepts of Financial Derivatives like Futures and Options in a simplified manner.

Learn to develop and backtest trading strategies in python.

This course will explain the advanced concepts of pair trading, arbitrage and algorithmic trading in a simple manner.

Why take this course?

Interested in a lucrative and rewarding position in quantitative finance? Are you a professional working in finance or an individual working in Data Science and want to bridge the gap between Finance and Data Science and become a full on quant?

The role of a quantitative analyst in an investment bank, hedge fund, or financial company is an attractive career option for many quantitatively skilled professionals working in finance or other fields like data science, technology or engineering. If this describes you, what you need to move to the next level is a gateway to the quantitative finance knowledge required for this role that builds on the technical foundations you have already mastered.

This course is designed to be exactly such a gateway into the quant world. If you succeed in this course you will become a master of quantitative finance and the financial engineering.

This Course covers a variety of topics like:

  • Stock Markets

  • Commodity Market

  • Forex Trading

  • Cryptocurrency

  • Technical Analysis

  • Financial Derivatives

  • Futures

  • Options

  • Time Value of Money

  • Modern Portfolio Theory

  • Efficient Market Hypothesis

  • Stock Price Prediction using Machine Learning

  • Stock Price Prediction using LSTM Neural Networks (Deep Learning)

  • Gold Price Prediction using Machine Learning

  • Develop and Backtest Trading Strategies in Python

  • Technical Indicators like Moving Averages and RSI.

  • Algorithmic Trading.

  • Advanced Trading Methodologies like Arbitrage and Pair Trading.

  • Random Walk Theory.

  • Capital Asset Pricing Model.

  • Sharpe Ratio.

  • Python for Finance.

  • Correlation between different stocks and asset classes.

  • Candle Stick Charts.

  • Working with Financial and OHLC Data for stocks.

  • Optimal Position Sizing using Kelly Criterion.

  • Diversification and Risk Management.

Content

Introduction and Course Overview

Introduction and Welcome Video
What will you Learn in this Course ?

Financial Markets

Introduction to Financial Markets Part 1
Introduction to Financial Markets Part 2
Type Of Analysis in Financial Markets
Time Value of Money
Capital Asset Pricing Model (CAPM)
Modern Portfolio Theory (MPT)
Efficient Market Hypothesis
Random Walk Theory
Correlation in Finance
Stock Correlation Matrix
Artbitrage Trading
Pair Trading
Algo Trading
Kelly Criterion
Sharpe Ratio

Python For Finance

Working with OHLC Data for Stocks
Plot CandleStick Chart with Python
Simple Moving Average (SMA) in Python
Exponential Moving Average (EMA) in Python

Financial Derivates

Introduction to Financial Derivatives
Futures (Financial Derivatives)
Options (Financial Derivatives)
Black Scholes Model

Technical Analysis

Introduction to Technical Analysis
Finding Support and Resistance
Chart Patterns
Moving Average
Relative Strength Index (RSI) Indicator
Dow Theory

Develop and Backtest Trading Strategies in Python

Practical Case Study on Amazon Stock

Machine Learning in Finance

Gold Price Prediction using Machine Learning
Stock Price Prediction using Machine Learning
Apple Stock Prediction using Linear Regression

Stock Price Prediction using LSTM

Microsoft Stock Price Prediction using LSTM

Screenshots

Quantitative Finance with Python - Screenshot_01Quantitative Finance with Python - Screenshot_02Quantitative Finance with Python - Screenshot_03Quantitative Finance with Python - Screenshot_04

Reviews

Aditi
June 22, 2023
The course is good if you want to get a basic idea of what topics you need to cover, but someone who already knows Finance and Python might find it is just a revision of their knowledge. But still, you can give it a try.
Santiago
June 15, 2023
Most of the resources are outdated and some do not even match with the ones used in the videos. If you are not into development/coding I guess can be challenging to get things running properly. They should explain or link the way to set up the environment. The speaker/s just read what you see on the screen, good if you consider is better to mute and read the slides, quite bad sound and really thick accent, they should consider using some tool to make easier to understand audio. They mention/use libs of methods without explanation, no need to get deep into everything but at least to clarify what every acronym stands for. The selection of topics/sections is insteresting, the explanation is not good but you get a start point to get more info on the internet. Poor course/content with better alternatives in youtube.
Vikas
May 31, 2023
not good because the instructor is just reading the slides nothing is explain just reading going on of slides
Muhammad
May 23, 2023
The instructor just vomits everything he finds on Investopedia. He doesn't explain everything except for just reading literally what Investopedia says
Abubakar
May 14, 2023
The course really gives an insight and more understanding about finances. And it's really a good thing to know you can actually make predictions on stock prices with machine learning algorithms
Jamshaid
March 18, 2023
It had basic introductory information so far, person joining this course, may have been already familiar with such markets
Khambhampati
March 15, 2023
It is a perfect course for me as I was always looking for the financial markets and how to analyse the stock market.
Tyler
November 29, 2022
Fantastic Course. Just loved it. If you are interested in Financial markets then you should definitely buy this course. It will take your analysis to next level using Python and ML.
Steve
November 29, 2022
Helped me a lot, great course with a great instructor. Very well organized and a great delivery of content.
Dan
November 29, 2022
This course is truly amazing. Learned so much from it. This course is one of the best course that i have bought.
Corey
November 29, 2022
Awesome Course !!! All important concepts of Quantitative Finance with code implementation in python are covered. Exceptionally well, very helpful.

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Related Topics

Stock Trading
Technical Analysis
Quantitative Finance
Algorithmic Trading
4991394
udemy ID
11/23/2022
course created date
11/29/2022
course indexed date
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