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    2021: Learn Algorithmic Trading In One Day

    Posted By: ELK1nG
    2021: Learn Algorithmic Trading In One Day

    2021: Learn Algorithmic Trading In One Day
    Last updated 10/2021
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 6.00 GB | Duration: 13h 0m

    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