Intro to FinTech Using R

Name: Intro to FinTech Using R
Rating: 4.6 (6 reviews)

Learn to be a FinTech enthusiast and use R to code some cool finance and machine learning projects

Created byYiqiao Yin

Last updated 9/2021

English

English [Auto],

What you'll learn

Learn how to time stock market using probability theory
Learn the qualitative and quantitative nature about stock market timing
Learn the basics of asset pricing theory
Learn the intermediate and advanced asset pricing practices

Course content

3 sections • 8 lectures • 2h 14m total length

Basics in Money Management13:39
This lecture we are going to talk about some basics things I look at in money management. There are not going to be some fancy Discounted Cash Flow. There are not going to be any machine learning component. There are not going to be some higher level econometrics. We are talking about something very simple, something everybody knows and yet not many people start with.

How to Time Stock Market19:29
Welcome! In this video, I'm gonna let share with you guys a small secret: how I time the stock market? In this video, I will focus on coding aspect of how the algorithm is designed. Then I will land the video on how to use this algorithm from PM perspective and the soft threshold.
How to Time Stock Market, A Qualitative Discussion18:15
This lecture picks from where we left off in stock market timing. We discuss some soft threshold and extends the market timing concept to a generalized framework.

First Course in Asset Pricing11:56
Today we are going to discuss Asset Pricing, a first class. What is market beta? What is Capital Asset Pricing Model? Why do we pay attention to market coefficient? How to construct an efficient portfolio? What are some important things we look? In this episode, we will cover all these topics.
A Growth Strategy22:27
Today we are going to talk about one of the most famous quant strategies out there: Growth Strategy! We are going to code this strategy by hand and we are going to land on performance comparison to see why this strategy is attractive.

We are going to download stock data live. Then we are going to build up our data so that we can compute this strategy. In this strategy, there is NO timing component and NO machine learning component. Essentially, we are looking at our data and every period we are going to pick a few TOP performing stocks by looking at returns of these stocks within the period. In the next period, we are simply going to hold these stocks. It sounds like a dummy strategy. But this "chase high" type of investment style actually have its strength.
A Qualitative Discussion on Growth Strategy16:00
Every quant strategy has its strength. However, programs are essentially robots under sets of fixed principles. They operate within certain fields of parameters, which may or may NOT be appropriate in real world. It is up to US to monitor the behaviors and assess the functionalities of how programs operate in REAL world.
An AI Driven Strategy12:22
Explore an ai driven strategy using forward looking returns and polynomial regression to beat the benchmark with positive alpha via growth strategy, stock ranking, and partitions.
The Last Bow20:30
sequel! As the last bow, I want to make sure that I land on something that you guys can use and apply in real life. We are going to wrap everything up from the "How I Time Stock Market" sequel and the "Asset Pricing" sequel into a web-base user-friendly online platform.

In this episode, we are going to talk about how to build a web-base application so that we can come up with a software platform for clients to use. We are going to use R Shiny which has front end and back end. Front end is coded using HTML and back end is going to be coded in R.

This final episode, The Last Bow, is the 5th episode of Asset Pricing sequel and really the culmination of ALL 7 standalone videos in the YIN'S Q BRANCH franchise which composed of all the essence in "HOW I TIME STOCK MARKET" and "ASSET PRICING" which includes

HOW I TIME STOCK MARKET:
- How I Time Stock Market
- How I Time Stock Market, a Qualitative Discussion
- How I Time Stock Market, a Machine Learning Story

ASSET PRICING:
- Asset Pricing, First Class
- Asset Pricing, Growth Strategy
- Asset Pricing, a Qualitative Discussion on Growth Strategy
- Asset Pricing, an AI Driven Strategy
- Asset Pricing, His Last Bow

Requirements

No programming experience needed. You will learn everything from the class.

Description

This course provides basic introductory guidance to FinTech. We cover three sections: (i) basic statistics in money management, (ii) stock market timing, and (iii) asset pricing. This course is for financial and technology enthusiasts. We will learn a few fundamentals and I am really happy to share all of my knowledge to you for FREE! Most of my friends know me as the guy who has been both retail traders and institutional traders on Wall Street. They consider me the go-to guy when it comes to financial problems. What most people do not know is how I get myself started. This is why I put together this course that is uniquely based on my personal passion and career choices. You will be using an easy programming language R to learn some basic statistics in money management. Then I will teach you to time stock market and build trade-able factor-based algorithms from scratch. Each lecture is a live coding round in R directly and I will walk you through the code block by block to explain the functionality. This course is not designed for you to master R or to becoming a professional trader. However, this course provides some of the most basic rules of thumb and intuition that every successful trader and institutional hedge fund managers know. I hope you will enjoy the content as much as I do!

Remark: Udemy charges when contents have more than 2 hours. Message me for additional materials and I will make it up for you to ensure it is FREE for you!

Who this course is for:

This is an introductory course to teach you to use basic R language.
This course teaches you the fundamentals of stock market timing.
This course teaches you the fundamentals of asset pricing and build a trade-able factor-based algorithm from scratch.

Intro to FinTech Using R

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 14min

Stock Market Timing2 lectures • 38min

Asset Pricing5 lectures • 1hr 23min

Requirements

Description

Who this course is for: