Automated Cryptocurrency Portfolio Investing with Python A-Z
- Description
- Curriculum
- FAQ
- Reviews
Welcome to the first-ever course on (Automated) Cryptocurrency Portfolio Investing.
Investing in Cryptocurrencies has been highly profitable but also risky and volatile in the past.
Did you know that you can substantially improve the performance of your Crypto Investments with
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Portfolio Diversification (there is more than just Bitcoin and Ethereum)
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Active and frequent Portfolio Rebalancing
…leading to higher Profitability and/or lower Risk!
This course provides practical and simple-to-use Python tools for
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Portfolio Optimization
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automated Portfolio Investing & Rebalancing for Exchanges like Binance, Coinbase, Kraken & co.
The course is structured in four Parts:
Part 1: Basics & Prerequisites
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Trading vs Investing
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What you should know about Cryptocurrencies as an Asset Class
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Trading and Investing on Exchanges like Binance, Coinbase, Kraken & co.
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Loading tons of Crypto Market Data from Data Aggregators
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Analyzing the Cryptocurrency Market with Python and Pandas
Part 2: Crypto Portfolio Investing and Rebalancing with Python
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Building and using a Portfolio Investing and Rebalancing Bot
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API Trading with CCXT
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Required Python skills (Error Handling, Object Oriented Programming)
Part 3: Crypto Portfolio Management and Optimization
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Financial Data Analysis & Performance Measurement
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Creating Crypto Indices and Portfolios
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Portfolio Optimization (and its Pitfalls)
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Reverse Optimization & the Black-Litterman model
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Advanced Topics and Theory
Part 4 (Appendix): A Python Crash Course (optional)
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Everything you need to know about Python Coding for this Course – no more, no less
What else should you know about me and the course?
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The course shows how to do things right. But equally important, it highlights the most commonly made mistakes in (Crypto) Investing. There is hardly any other business where beginners make so many mistakes. Why is that? A lack of skills, expertise, and experience. And: Overconfidence and overreliance on intuition. As a finance professional with an extensive academic background (MSc in Finance, CFA) my clear message is: For Trading and Investing, intuition and common sense are not your best friends. Very often, the most intuitive solution is not the correct solution!
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This course is “not only” a crypto investing course but also an in-depth Python Course that goes beyond what you can typically see in other courses. Create hands-on Applications with Python and use it for your Crypto Investing Business!
What are you waiting for? Join now!
Thanks and looking forward to seeing you in the Course!
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9Investing vs. Trading
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10Asset Classes, Money and (Crypto-) Currencies
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11What is a Stable Coin?
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12Why Investing into Cryptocurrencies?
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13Crypto Exchanges/Markets - Overview
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14Introduction to Coingecko.com
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15Price, Volume and Charts
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16Market Capitalization and (Circulating) Supply
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17Cryptocurrency Exchanges
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18The Binance Exchange
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19Binance.com and Binance.US at a first glance
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20How to get a 10% Discount on Trading Commissions
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21Registration and Identity Verification
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22How to instantly buy your first Cryptos
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23Deposits and Withdrawals (Part 1)
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24Deposits and Withdrawals (Part 2)
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25The first Spot Trade (buy Bitcoin)
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26Trade Analysis and Trading Fees/Commissions
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27Another Spot Trade (sell Bitcoin)
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28Limit Orders vs. Market Orders
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29Take-Profit Orders
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30Stop-Loss Orders
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31The Order Book
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32Bid-Ask-Spread and Slippage
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33Total Costs of a Trade (visible vs. hidden Costs)
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34Alternative Exchanges (FTX, Kraken, etc.)
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35Introduction FTX.com and FTX.us
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36How to get a 5% Discount on Trading Commissions (FTX.com)
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37Creating accounts on FTX.com and FTX.us
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43Introduction
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44Test your debugging skills!
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45Major reasons for Coding Errors
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46The most commonly made Errors at a glance
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47Omitting cells, changing the sequence and more
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48IndexErrors
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49Indentation Errors
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50Misuse of function names and keywords
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51TypeErrors and ValueErrors
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52Getting help on StackOverflow.com
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53How to traceback more complex Errors
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54Problems with the Python Installation
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55External Factors and Issues
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56Errors related to the course content (Transcription Errors)
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57Summary and Debugging Flow-Chart
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58Introduction
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59Cross-Sectional Data, Time Series Data & Panel Data
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60Download Course Materials and how to load csv-files
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61[Article] Loading Data into Pandas - advanced topics
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62The full Crypto Market in one Dataset (Cross-Sectional)
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63Price, Market Capitalization, circulating Supply & more
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64Data Analysis & Presentation
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65The full Crypto Market in one Dataset (Panel Data)
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66Price Charts
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67Market Cap over time
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68Market_Share over time
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69Outlook
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70The Coingecko API - Introduction
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71Preparations & First Steps
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72Simple Calls
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73Coin Calls (Part 1)
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74Coin Calls (Part 2)
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75Exchanges Calls
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76How to load the Cross-Sectional Dataset (Part 1)
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77How to load the Cross-Sectional Dataset (Part 2)
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78How to load the Cross-Sectional Dataset (Part 3)
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79Getting all available Coins on Binance
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80Loading the Panel Dataset
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81Cleaning and preparing the Panel Dataset (Part 1)
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82Cleaning and preparing the Panel Dataset (Part 2)
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83Cleaning and preparing the Panel Dataset (Part 3)