Learn Algorithmic Trading In One Day

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Learn algorithmic trading in one day - Version 1 (please use the second version)

Last updated 2022-01-10 | 3.3

- Algorithmic Trading
- Trading
- Python

What you'll learn

Algorithmic Trading
Trading
Python
Finance
Quantitative finance
Financial Trading
Volatility analysis
Quant Trading
Ichimoku kinko hyo
Bollinger bands

* Requirements

* A desktop computer (Windows
* Mac
* or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
* Mathematical foundation is a plus but not mandatory
* Basic knowledge about Python is a plus but not mandatory.
* Knowledge about normal/gaussian distribution is a plus but not mandatory

Description

Please refer to the latest version of the course. This version has been updated under the name: "2021:learn algorithmic trading in one day".

The second part of this course can be found within our profile. This version as some packages needed updates will be removed from the marketplace in the next 6 months.

The second version of this course covers the latest machine learning algorithm, plus two extra algorithm implementation.

This course will allow you to develop your Python skills tutored by professionals. You will be able to add Trading Technical Analysis and Algorithmic Trading to your CV and start getting paid for your skills.

What you will learn from this course:

- Develop your first PROFITABLE algorithms to predict the market. (Stock exchange (US, Indian, Dax, CAC40) + Crypto)

- Step up in data visualisation to create a portfolio for a career switch

- Learn how to import market data.

- Getting connected to the US stock exchange live and get market data with less than one-second lag. (The only course of proposing this option).

- Develop your first trading strategies on Python such as Ichimoku Kinko Hyo or Bollinger Bands with Live Trading Examples. (The only course of proposing this option).

Thank you for understanding.

Sajid Lhessani (Algo Trading instructor).

Who this course is for:

  • Beginner Python developers curious about algorithmic trading.
  • Beginner Python developers curious about data science.
  • Finance student
  • Quants

Course content

9 sections • 59 lectures

Introduction 3 lectures

Introduction to the Algorithmic Trading training Preview 02:39

Before to start Preview 02:41

Coding is not difficult Preview 05:43

Source: https://www.youtube.com/watch?v=2-VKC8g2u1Y

Youtube channel: SparroW

Computer setup 2 lectures

Installation Guide Preview 04:46

Run my first Jupyter Notebook Preview 05:14

Python refresher (Optional) 10 lectures

Variable Preview 04:51

Data Type Preview 02:15

Float, Integer & Booleans Preview 05:04

Strings Preview 11:19

Strings

A short yes/no questions quiz.

NumPy Part_1 Preview 16:28

NumPy Part_2 Preview 13:09

NumPy Part_3 Preview 20:33

Pandas Part_1 Preview 18:06

Pandas Part_2 Preview 16:35

Data visualisation - PlotLy Crash course (Optional) 8 lectures

Introduction Preview 02:26

ScatterPlot 360 Preview 13:47

PlotLy Quizz 1

A short quiz to make a recap on the first video

Histogram Preview 19:43

Financial Chart 1 Preview 17:25

Financial Chart 2 Preview 25:11

Financial Chart 3 Preview 09:09

Financial chart quizz

Short quiz based on previous lectures

Algorithmic Trading Structure & Market Data API 6 lectures

Algorithmic Trading Structure Preview 05:42

Algorithmic Trading Structure - Quiz

A short quiz to cover the previous video.

Note on Pandas DataReader Preview 00:10

Quandl API Preview 21:01

Get live market data Preview 17:10

Information on Yahoo Finance API: https://pypi.org/project/yfinance/

How to get cryptocurrency data (Bitcoin, Ethereum, Ripple ...) Preview 10:16

Trading Masterclass 15 lectures

Introduction - Trading Masterclass Preview 02:53

Market Structure - The Main Market Players PART I Preview 03:25

Market Structure - The Main Market Players PART II Preview 19:46

Market Structure - The Different Trading Strategies Preview 16:01

Functioning principles of the Stock Exchange Preview 06:17

Dark Pools Preview 04:05

Part II - Technical indicator and oscillators summary Preview 02:37

Moving Average Preview 16:13

Moving Average, MACD Preview 10:58

RSI Preview 07:27

Bollinger Bands Preview 07:40

Ichimoku Kinko Hyo Preview 30:01

Fibonacci Preview 10:54

Trading Mindset Preview 14:37

Trading MasterClass Final Question, Test your knowledge

Algorithm implementation case study (Advanced) 9 lectures

Part I Preview 06:38

Part I - Solution Preview 12:08

Part II Preview 02:50

Part II - Solution Preview 09:56

Part III Preview 13:34

Part III - Solution Preview 22:20

Part IV Preview 02:27

What are the buying and selling signals ?

Confirm if you understood the buying and selling signals.

Part IV - Solution Preview 07:47

Implement your algorithm and test it live 4 lectures

Test your trading strategy in live - 06 November 2020. Preview 18:23

Live Trading Session - 18 January 2021: Bitcoin, Ethereum. Preview 19:09

Live Trading Session - 07 February 2021: Bitcoin, Ethereum, Dogecoin. Preview 24:34

Live Trading Session - 15 February 2021: Ripple, Bitcoin, Ethereum, Dogecoin,. Preview 39:16

Covid19 - Quantitative Application 2 lectures

Methodology Preview 04:44

Analysis Preview 19:14