2021: Learn Algorithmic Trading In One Day

A Comprehensive 101 action oriented Beginner Course for Algorithmic Trading

What you'll 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
Requirements
This course is suitable for beginners
Description
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 upTons of activities, exercises, and challengesCheatsheets and detailed articles you can review to refresh your memoryImpeccable sound and video qualityQuality instructor support: I respond to most questions in under 12 hoursAll lectures are straight to the point - minimal effort, maximum resultsLearn by applying real live examplesBy 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!

Overview

Section 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 Thank you!

Section 2: Set up your machine

Lecture 6 Installation Guide

Lecture 7 Run my first Jupyter Notebook

Section 3: Python refresher

Lecture 8 Chapter presentation

Lecture 9 Variable

Lecture 10 Data Type

Lecture 11 Float, Integer & Booleans

Lecture 12 Strings

Lecture 13 NumPy Part 1

Lecture 14 NumPy Part 2

Lecture 15 NumPy Part 3

Lecture 16 Panda Part 1

Lecture 17 Panda Part 2

Lecture 18 Panda Part 3

Section 4: Data Visualisation _ PlotLy Crash Course

Lecture 19 Chapter presentation

Lecture 20 Introduction

Lecture 21 ScatterPlot 360

Lecture 22 Histogram

Lecture 23 Financial Chart 1

Lecture 24 Financial Chart 2

Lecture 25 Financial Chart 3

Section 5: Algorithmic Trading Structure & Market Data API

Lecture 26 Get live market data

Lecture 27 How to get cryptocurrency data (BTC, ETH, …)

Lecture 28 Bonus: Not mandatory

Lecture 29 BONUS Binance API

Lecture 30 BONUS Quandl API

Section 6: Trading Masterclass

Lecture 31 Introduction to the Trading Masterclass

Lecture 32 Market Structure - The main market players Part 1

Lecture 33 Market Structure - The main market players Part 2

Lecture 34 Market Structure - The different trading strategies

Lecture 35 Market Structure - The right securities for a diversified portfolio

Section 7: Technical Analysis

Lecture 36 Moving Average Indicator - SMA & EMA

Lecture 37 Python Application - Moving Average indicator

Lecture 38 Moving Average Indicator - MACD

Lecture 39 RSI

Lecture 40 Python Application - RSI

Lecture 41 Bollinger Bands

Lecture 42 Ichimoku Kinko Hyo

Section 8: –– Hands on experience with real live examples. ––

Lecture 43 Presentation of the next 3 live examples

Section 9: Quantitative Finance Challenge

Lecture 44 Part I

Lecture 45 Part I - Solution

Lecture 46 Part II

Lecture 47 Part II - Solution

Lecture 48 Part III

Lecture 49 Part III - Solution

Lecture 50 Part IV

Lecture 51 Part IV - Solution

Section 10: Algorithm implementation - Market Support/Resistance

Lecture 52 Draw your resistance level - Challenge

Lecture 53 Import the right data

Lecture 54 Import live data - Solution

Lecture 55 Deploy your algorithm

Lecture 56 Deploy your algorithm - Solution

Lecture 57 Analyse the market

Lecture 58 Analyze the market - solution

Lecture 59 Bonus: Golden Cross vs Death Cross Live Trading prediction

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

Lecture 60 Summary

Lecture 61 Ichimoku Kinko Hyo in 5 minutes

Lecture 62 Modelisation

Lecture 63 Part I - Challenge

Lecture 64 Part I - Solution

Lecture 65 Part II - Data Manipulation and Calculation

Lecture 66 Part II - Data Manipulation and Calculation

Lecture 67 Part III - Data Visualisation and Prediction

Lecture 68 Part III - Data Visualisation and Prediction Solution

Lecture 69 Backtesting Algorithm Instruction

Lecture 70 Backtesting Part I

Lecture 71 Backtest Part II

Lecture 72 Backtesting Part III

Section 12: Live Trading Session

Lecture 73 Live session - US Market - Bollinger Band

Lecture 74 Live session - Crypto Market Prediction

Lecture 75 Live Trading session

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