Learn Algorithmic Trading in One Day

Learn Algorithmic Trading in One Day, available at $69.99, has an average rating of 4.7, with 78 lectures, 4 quizzes, based on 127 reviews, and has 1667 subscribers.

You will learn about Use Ichimoku Kinko Hyo To Predict the Market Bollinger Bands Relative Strength Index (RSI) Trading strategy for the stock market to Triple your return on a range period Ichimoku cloud Quantitative Finance Algorithmic Trading Cryptocurrency Trading Bitcoin Trading Python Finance This course is ideal for individuals who are Build a Portfolio for Algorithmic Trading or Want to be guided to build your first Trading Algorithm or Python enthusiast It is particularly useful for Build a Portfolio for Algorithmic Trading or Want to be guided to build your first Trading Algorithm or Python enthusiast.

Enroll now: Learn Algorithmic Trading in One Day

Summary

Title: Learn Algorithmic Trading in One Day

Price: $69.99

Average Rating: 4.7

Number of Lectures: 78

Number of Quizzes: 4

Number of Published Lectures: 75

Number of Published Quizzes: 4

Number of Curriculum Items: 84

Number of Published Curriculum Objects: 81

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: £199.99

Quality Status: approved

Status: Live

What You Will Learn

Use Ichimoku Kinko Hyo To Predict the Market
Bollinger Bands
Relative Strength Index (RSI)
Trading strategy for the stock market to Triple your return on a range period
Ichimoku cloud
Quantitative Finance
Algorithmic Trading
Cryptocurrency Trading
Bitcoin Trading
Python
Finance

Who Should Attend

Build a Portfolio for Algorithmic Trading
Want to be guided to build your first Trading Algorithm
Python enthusiast

Target Audiences

Build a Portfolio for Algorithmic Trading
Want to be guided to build your first Trading Algorithm
Python enthusiast

The purpose of this class is to teach you how to build, automate, and deploy your algorithmic trading strategy using Python.

What you will learn from this course:

6 tricks to enhance your data visualization skills.
Your first trading algorithm, using the support and resistance level, can secure you up to 80% per year.
A strategy on the Cryptocurrency Market which can triple your return on a range period.

And a step by step guide on how to start with Python.

At the end of this course, you will be able to write Plotly, Trading and Algorithmic Trading on your CV.

Who am I?

I have started my career as a Civil engineer. After a few years in the industry, I quickly realized that it will not bring me anywhere for multiple reasons. I chose to make a complete career shift and leave France for the US.

And I had the chance to be trusted by Banks to apply my mathematical skills to play with the Market. In my first job, I got hired to work for BNP Paribas. That was my first experience, and probably one of the most impactful. When I joined the team, my job was to replicate traders’ behaviour on the Forex Market and automate it.

I learned and have been tutored by some of the best traders. They explained to me tricks and hidden patterns that I could follow. During the last 3 years, I have been modelizing and helping traders to enhance their decisions.

Today I am proposing to mentor a small team of dedicated and motivated people to reach a higher level. But always backed by mathematics and science.

Why is this course different?

Progressive difficulty: we start slow and we build our way up
Tons of activities, exercises, and challenges
Cheatsheets and detailed articles you can review to refresh your memory
Impeccable sound and video quality
Quality instructor support: I respond to most questions in under 12 hours
All lectures are straight to the point – minimal effort, maximum results
Learn by applying real live examples

By the end of this course, you will be able to understand algorithmic trading with ease. You’ll feel in control as you pursue and complete more ambitious projects. Whether you are contemplating a career change, considering freelancing opportunities, or developing a personal hobby, get started today on your Algorithmic Trading journey!

Course Curriculum

Chapter 1: Course introduction

Lecture 1: Welcome!

Lecture 2: Motivational Programming Video (Coding)

Lecture 3: Before to Start (MUST be watched)

Lecture 4: My recommendations

Lecture 5: BEFORE TO START

Lecture 6: Thank you!

Chapter 2: Set up your machine

Lecture 1: Installation Guide

Lecture 2: Run my first Jupyter Notebook

Chapter 3: Python refresher

Lecture 1: Variable

Lecture 2: Chapter presentation

Lecture 3: Data Type

Lecture 4: Float, Integer & Booleans

Lecture 5: Strings

Lecture 6: NumPy Part 1

Lecture 7: NumPy Part 2

Lecture 8: NumPy Part 3

Lecture 9: Panda Part 1

Lecture 10: Panda Part 2

Lecture 11: Panda Part 3

Chapter 4: Data Visualisation _ PlotLy Crash Course

Lecture 1: Chapter presentation

Lecture 2: Introduction

Lecture 3: ScatterPlot 360

Lecture 4: Histogram

Lecture 5: Financial Chart 1

Lecture 6: Financial Chart 2

Lecture 7: Financial Chart 3

Chapter 5: Algorithmic Trading Structure & Market Data API

Lecture 1: Get live market data

Lecture 2: How to get cryptocurrency data (BTC, ETH, …)

Lecture 3: Bonus: Not mandatory

Lecture 4: BONUS Binance API

Chapter 6: Trading Masterclass

Lecture 1: Introduction to the Trading Masterclass

Lecture 2: Market Structure – The main market players Part 1

Lecture 3: Market Structure – The main market players Part 2

Lecture 4: Market Structure – The different trading strategies

Lecture 5: Market Structure – The right securities for a diversified portfolio

Chapter 7: Technical Analysis

Lecture 1: Moving Average Indicator – SMA & EMA

Lecture 2: Python Application – Moving Average indicator

Lecture 3: Moving Average Indicator – MACD

Lecture 4: RSI

Lecture 5: Python Application – RSI

Lecture 6: Bollinger Bands

Lecture 7: Ichimoku Kinko Hyo

Chapter 8: —- Hands on experience with real live examples. —-

Lecture 1: Presentation of the next 3 live examples

Chapter 9: Quantitative Finance Challenge

Lecture 1: Part I

Lecture 2: Part I – Solution

Lecture 3: Part II

Lecture 4: Part II – Solution

Lecture 5: Part III

Lecture 6: Part III – Solution

Lecture 7: Part IV

Lecture 8: Part IV – Solution

Chapter 10: Algorithm implementation – Market Support/Resistance

Lecture 1: Draw your resistance level – Challenge

Lecture 2: Import the right data

Lecture 3: Import live data – Solution

Lecture 4: Deploy your algorithm

Lecture 5: Deploy your algorithm – Solution

Lecture 6: Analyse the market

Lecture 7: Analyze the market – solution

Lecture 8: Bonus: Golden Cross vs Death Cross Live Trading prediction

Chapter 11: Backtesting and Market prediction application with Ichimoku Kinko Hyo

Lecture 1: Summary

Lecture 2: Ichimoku Kinko Hyo in 5 minutes

Lecture 3: Modelisation

Lecture 4: Part I – Challenge

Lecture 5: Part I – Solution

Lecture 6: Part II – Data Manipulation and Calculation

Lecture 7: Part II – Data Manipulation and Calculation

Lecture 8: Part III – Data Visualisation and Prediction

Lecture 9: Part III – Data Visualisation and Prediction Solution

Lecture 10: Backtesting Algorithm Instruction

Lecture 11: Backtesting Part I

Lecture 12: Backtest Part II

Lecture 13: Backtesting Part III

Chapter 12: Live Trading Session

Lecture 1: Live session – US Market – Bollinger Band

Lecture 2: Live session – Crypto Market Prediction

Lecture 3: Live Trading session

Instructors

Trading 707
Data Science and Trading
Sajid Lhessani
Algorithmic Trader – 10 Years experience

Rating Distribution

1 stars: 7 votes
2 stars: 7 votes
3 stars: 11 votes
4 stars: 33 votes
5 stars: 69 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu