< Mastering Python for Cryptocurrency Trading: Advanced Strategies and Techniques with Certification Exam

66 casts | 13:03:24 for the total course

created by Mammoth Interactive INC

• 1. Course overview
  • 00 Course Overview - Python Crypto Trading Strategies
• 2. Introduction to Blockchain (Prerequisite)
  • 00 Blockchain Introduction - (Prerequisite) Introduction to Blockchain

  • 01 What Are Blockchains And Distributed Ledgers - (Prerequisite) Introduction to Blockchain

  • 02A What Are Bitcoin And Ethereum - (Prerequisite) Introduction to Blockchain

• 3. Introduction to the Stock Market

  • 01 What Do Day Traders Trade - (Pre-requisite) Stock Market

  • 02 What Is Volatility And Standard Deviation - (Pre-requisite) Stock Market

  • 03 What Are The Best Assets To Day Trade - (Pre-requisite) Stock Market

  • 04 Strategies For Stock Market Trading - (Pre-requisite) Stock Market

  • 06 Stock Market Indicators

  • 07 Stock Market Lifecycle Trend Phases - (Pre-requisite) Stock Market

• 4. (Prerequisite) Introduction to Python
  • 00. Introduction
  • 01. Intro To Python

  • 02.01 What is Google Colab

  • 02.02 What If I Get Errors

  • 02.03 How Do I Terminate a Session

  • 01. Variables

  • 02. Type Conversion Examples

  • 03. Operators

  • 04. Collections

  • 05. List Examples

• 5. Introduction to DataFrames with Pandas Python Library

  • 00. Setting Up Pandas - Intro to Dataframes with Pandas Pyplot Library

  • 01. Creating A Dataframe - 01. Intro to Dataframes with Pandas Pyplot Library

  • 02. Sorting And Series - 01. Intro to Dataframes with Pandas Pyplot Library

  • 03. Expanding A Dataframe - 01. Intro to Dataframes with Pandas Pyplot Library

  • 01 Getting Values And Dealing With Nan Values - 02. Intro to Dataframes with Pandas Pyplot Library

  • 02 Dropping Rows And Columns - 02. Intro to Dataframes with Pandas Pyplot Library

  • 01 Reading From Csv - 03. Intro to Dataframes with Pandas Pyplot Library

  • 02 Writing To Csv - 03. Intro to Dataframes with Pandas Pyplot Library

  • 01 Starting With An Analysis - 04. Intro to Dataframes with Pandas Pyplot Library

  • 02 Locating Data By Labels - 04. Intro to Dataframes with Pandas Pyplot Library

  • 03 Statistical Description Of Data - 04. Intro to Dataframes with Pandas Pyplot Library

  • 04 Histogram Plots In Pandas - 04. Intro to Dataframes with Pandas Pyplot Library

  • 05 Starting An Analysis Of All Our Data - 04. Intro to Dataframes with Pandas Pyplot Library

  • 06 Continuing An Analysis Of All Our Data - 04. Intro to Dataframes with Pandas Pyplot Library

• 6. Introduction to Data Science with NumPy Python Library

  • 01. Introduction - 00. Intro to Data Science with Numpy Python Library

  • 01 Creating And Reshaping Numpy Arrays - 01. Intro to Data Science with Numpy Python Library

  • 02 Creating Standard Numpy Arrays - 02. Intro to Data Science with Numpy Python Library

  • 03 Creating Standard 2D Arrays - 01. Intro to Data Science with Numpy Python Library

  • 04 Attributes On Numpy Arrays - Intro to Data Science with Numpy Python Library

  • 05 Resizing Arrays - 01. Intro to Data Science with Numpy Python Library

  • 01 Writing An Array To File And Formating Strings - 02. Intro to Data Science with Numpy Python Library

  • 02 Random Numbers - 02. Intro to Data Science with Numpy Python Library

  • 03 Sorting In Numpy - 02. Intro to Data Science with Numpy Python Library

  • 01 Calculations Within Numpy Arrays - 03. Intro to Data Science with Numpy Python Library

  • 02 Math Functions With Numpy - 03. Intro to Data Science with Numpy Python Library

  • 03 Integrating With Numpy - 03. Intro to Data Science with Numpy Python Library

  • 04 Statistics With Numpy - 03. Intro to Data Science with Numpy Python Library

  • 05 Polynomials - 03. Intro to Data Science with Numpy Python Library

  • 06 Polynomials (Cont'd) - 03. Intro to Data Science with Numpy Python Library

• 7. Simple Moving Averages Trading Strategy

  • 04-00 Backtesting Simple Moving Averages Explained

  • 01 Load data for backtesting SMA with vectorbt

  • 02 Build trading strategies with vectorbt

  • 03 Simulate portfolio with vectorbt

  • 04 Visualize trading strategy with kaleido

• 8. Big Three Trading Strategy

  • 00 What Is The Big Three Trading Strategy

  • 01 Big Three Trading Strategy On Binance Coin

  • 02 Big Three Trading Strategy On 1 Year Of Stocks

• 9. Exponential moving average trading strategy

  • 00 Ema Trading Strategy For Crypto - Overview

  • 01 Load Data With Cryptometrics Api

  • 02 Visualize Historical Stock Prices With Matplotlib

  • 03 Build Exponential Moving Average Trading Strategy

• 10. Build autocorrelation for crypto stock prediction

  • 00 Autocorrelation Explained For Crypto Stock Prediction

  • 01 Load Data For Crypto Price Autocorrelation With Pandas

  • 02 Visualize Crypto Price Data With Pyplot

  • 03 Apply Hodrick-Prescott Filter To Data With Python

  • 04 Calculate Autocorrelation With Python