Cryptocurrency Algorithmic Trading with Python and Binance

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Cryptocurrency Algorithmic Trading with Python and Binance

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收录时间：2023-12-18
最近下载：2024-11-23

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文件列表

  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/001 Investing vs. (Algorithmic) Trading.mp4 131.7 MB
  • 07 - Trading with Python and the Binance API - an Introduction/012 How to load Historical Price & Volume Data (Part 2).mp4 88.2 MB
  • 20 - Implementing and automating Futures Trading on Binance/002 The Binance Futures API.mp4 87.1 MB
  • 18 - Futures Trading on Binance A-Z/003 The first Futures Trade (Long).mp4 85.3 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/007 The first Spot Trade (buy Bitcoin).mp4 82.1 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/001 Binance.com and Binance.US at a first glance.mp4 81.5 MB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/002 Asset Classes, Money and (Crypto-) Currencies.mp4 81.2 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/012 Inheritance.mp4 79.9 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/004 Initial Inspection and Visualization.mp4 78.1 MB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/008 Spot Trading vs. Derivatives (Futures) Trading (Part 2).mp4 76.0 MB
  • 13 - Implementation and Automation of Trading Strategies with Binance/010 Trade Monitoring and Reporting.mp4 75.2 MB
  • 22 - API Trading with CCXT/006 Loading Historical Data (Part 1).mp4 74.3 MB
  • 18 - Futures Trading on Binance A-Z/009 Margin Requirements and Liquidation (Part 2).mp4 73.1 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/003 Loading Financial Data from the Web.mp4 72.7 MB
  • 07 - Trading with Python and the Binance API - an Introduction/022 Placing a Market Buy Order.mp4 71.8 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/011 How to traceback more complex Errors.mp4 71.5 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/033 Slicing Rows and Columns with loc (label-based indexing).mp4 70.6 MB
  • 22 - API Trading with CCXT/017 A CCXT Spot Trading Bot.mp4 70.0 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/055 Customization of Plots.mp4 69.0 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/021 (Non-) Normality of Financial Returns.mp4 68.8 MB
  • 18 - Futures Trading on Binance A-Z/008 Margin Requirements and Liquidation (Part 1).mp4 67.7 MB
  • 18 - Futures Trading on Binance A-Z/014 Position Mode One-way (Netting) vs. Hedging.mp4 65.9 MB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/005 Why using Binance.mp4 65.8 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/029 Selecting Rows with iloc (position-based indexing).mp4 64.3 MB
  • 12 - Strategy Optimization and Forward Testing/005 Putting everything together a Backtester Class.mp4 62.6 MB
  • 07 - Trading with Python and the Binance API - an Introduction/017 Streaming and collecting real-time Candles.mp4 62.6 MB
  • 07 - Trading with Python and the Binance API - an Introduction/008 Retrieving general accountsystem Info (Part 1).mp4 62.2 MB
  • 12 - Strategy Optimization and Forward Testing/003 Strategy Optimization (Part 1).mp4 61.8 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/022 Create your very first Pandas DataFrame (from csv).mp4 61.6 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/043 Changing Row Index with set_index() and reset_index().mp4 61.6 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/017 Introduction to Charting and Technical Indicators.mp4 61.4 MB
  • 19 - Backtesting Futures Trading Strategies with Leverage/007 How to adjust the Framework to (levered) Futures Trading.mp4 60.9 MB
  • 19 - Backtesting Futures Trading Strategies with Leverage/005 Levered Returns a more realistic approach.mp4 60.7 MB
  • 20 - Implementing and automating Futures Trading on Binance/004 Placing Market Orders (Part 1).mp4 60.6 MB
  • 17 - +++ PART 3 Algorithmic Trading Futures Trading +++/001 Overview.mp4 59.4 MB
  • 23 - API Trading with FTX/007 Futures Trading on FTX.mp4 59.1 MB
  • 22 - API Trading with CCXT/016 Creating Orders and analyzing Trades (Futures).mp4 58.7 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/060 Categorical Seaborn Plots.mp4 58.4 MB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/004 How to create an EC2 Instance.mp4 58.3 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/014 Discrete Compounding.mp4 57.8 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/001 Introduction to OOP and examples for Classes.mp4 57.6 MB
  • 07 - Trading with Python and the Binance API - an Introduction/010 Getting (current) Market Data.mp4 57.5 MB
  • 11 - A Long-only Strategy based on Price & Volume Data/003 Explanatory Data Analysis Financial Returns and Trading Volume (Part 1).mp4 57.1 MB
  • 13 - Implementation and Automation of Trading Strategies with Binance/009 Placing Orders and Executing Trades.mp4 56.0 MB
  • 18 - Futures Trading on Binance A-Z/013 Margin Mode Cross vs. Isolated.mp4 55.4 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/054 Visualization with Matplotlib (Intro).mp4 54.2 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/008 Trade Analysis and Trading FeesCommissions.mp4 54.1 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/061 Seaborn Regression Plots.mp4 54.0 MB
  • 07 - Trading with Python and the Binance API - an Introduction/014 Streaming real-time Market Data (Part 1).mp4 53.5 MB
  • 07 - Trading with Python and the Binance API - an Introduction/011 How to load Historical Price & Volume Data (Part 1).mp4 53.0 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/020 Comparing the Performance of Financial Instruments.mp4 53.0 MB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/007 Spot Trading vs. Derivatives (Futures) Trading (Part 1).mp4 52.7 MB
  • 13 - Implementation and Automation of Trading Strategies with Binance/008 Adding a Long-Only Trading Strategy.mp4 51.6 MB
  • 14 - A Long-Short Trading Strategy A-Z/007 A Long-Short Trading Framework.mp4 50.3 MB
  • 14 - A Long-Short Trading Strategy A-Z/010 Preview Running a Python Trader Script.mp4 49.9 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/034 Margin Trading and Levered Returns (Part 2).mp4 48.6 MB
  • 11 - A Long-only Strategy based on Price & Volume Data/007 Trading Costs.mp4 48.6 MB
  • 01 - Getting Started/006 Course Overview.mp4 48.5 MB
  • 05 - Installing Python and Jupyter Notebooks/002 Download and Install Anaconda.mp4 48.1 MB
  • 22 - API Trading with CCXT/003 First Steps with CCXT.mp4 47.9 MB
  • 05 - Installing Python and Jupyter Notebooks/003 How to open Jupyter Notebooks.mp4 46.5 MB
  • 20 - Implementing and automating Futures Trading on Binance/003 How to change Settings and Modes.mp4 46.2 MB
  • 22 - API Trading with CCXT/001 Introduction.mp4 46.1 MB
  • 18 - Futures Trading on Binance A-Z/015 How to work with many open positions.mp4 46.0 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/024 First Data Inspection.mp4 45.7 MB
  • 10 - What is a Trading Strategy/001 Trading Strategies - Overview.mp4 45.7 MB
  • 25 - Appendix 1 Python (& Finance) Basics/039 Coding Exercise 3.mp4 45.1 MB
  • 10 - What is a Trading Strategy/004 How to create your own Trading Strategies.mp4 45.0 MB
  • 23 - API Trading with FTX/008 An FTX Futures Trading Bot.mp4 44.5 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/049 Advanced Filtering with between(), isin() and ~.mp4 43.9 MB
  • 05 - Installing Python and Jupyter Notebooks/004 How to work with Jupyter Notebooks.mp4 43.6 MB
  • 07 - Trading with Python and the Binance API - an Introduction/009 Retrieving general accountsystem Info (Part 2).mp4 43.3 MB
  • 18 - Futures Trading on Binance A-Z/004 Trade Analysis.mp4 43.2 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/013 Inheritance and the super() Function.mp4 43.2 MB
  • 11 - A Long-only Strategy based on Price & Volume Data/006 Strategy Backtesting.mp4 43.2 MB
  • 19 - Backtesting Futures Trading Strategies with Leverage/001 Introduction.mp4 42.8 MB
  • 16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/001 Introduction.mp4 41.9 MB
  • 07 - Trading with Python and the Binance API - an Introduction/021 Spot Testnet API - Overview.mp4 41.9 MB
  • 20 - Implementing and automating Futures Trading on Binance/009 A Futures Trading Bot (Part 1).mp4 41.9 MB
  • 07 - Trading with Python and the Binance API - an Introduction/024 Placing Limit Orders.mp4 41.3 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/014 Adding meaningful Docstrings.mp4 41.1 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/031 Covariance and Correlation.mp4 40.1 MB
  • 20 - Implementing and automating Futures Trading on Binance/005 Trade Analysis - Trade and Income History.mp4 40.0 MB
  • 22 - API Trading with CCXT/019 A CCXT Futures Trading Bot.mp4 39.8 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/005 Omitting cells, changing the sequence and more.mp4 39.4 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/007 Coding Challenge #1.mp4 39.3 MB
  • 25 - Appendix 1 Python (& Finance) Basics/012 Coding Exercise 1.mp4 39.2 MB
  • 23 - API Trading with FTX/005 What you should consider for Backtesting.mp4 39.1 MB
  • 07 - Trading with Python and the Binance API - an Introduction/013 Excursus Loading Historical Data (csv) from the Website.mp4 38.9 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/027 Introduction to Currencies (Forex) and Trading.mp4 38.8 MB
  • 25 - Appendix 1 Python (& Finance) Basics/047 Coding Exercise 4.mp4 38.5 MB
  • 16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/004 The Solution explained (Part 2).mp4 38.3 MB
  • 19 - Backtesting Futures Trading Strategies with Leverage/003 Backtesting without Leverage and Trading Costs in the Futures Market.mp4 38.2 MB
  • 28 - Appendix 4 Advanced Pandas Time Series Topics/002 Filling NA Values with bfill, ffill and interpolation.mp4 37.9 MB
  • 14 - A Long-Short Trading Strategy A-Z/005 A Long-Short Backtesting Framework.mp4 37.9 MB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/003 What is a Stable Coin.mp4 37.6 MB
  • 01 - Getting Started/003 How to get the best out of this course.mp4 37.5 MB
  • 01 - Getting Started/001 Welcome and Introduction.mp4 36.6 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/006 Normalizing Time Series to a Base Value (100).mp4 36.4 MB
  • 18 - Futures Trading on Binance A-Z/012 Stop Loss (SL) and Take Profit (TP) Orders.mp4 36.3 MB
  • 22 - API Trading with CCXT/005 The Public API.mp4 36.2 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/011 Investment Multiple and CAGR.mp4 36.1 MB
  • 14 - A Long-Short Trading Strategy A-Z/001 Introduction.mp4 36.0 MB
  • 20 - Implementing and automating Futures Trading on Binance/010 A Futures Trading Bot (Part 2).mp4 35.9 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/051 Handling NA Values missing Values.mp4 35.8 MB
  • 14 - A Long-Short Trading Strategy A-Z/008 Implementing and Automating a Long-Short Trading Strategy.mp4 35.6 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/024 Rolling Statistics.mp4 35.6 MB
  • 01 - Getting Started/002 Did you know... (a Sneak Preview on Crypto Trading).mp4 34.7 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/010 Getting help on StackOverflow.com.mp4 34.5 MB
  • 13 - Implementation and Automation of Trading Strategies with Binance/011 How to setautomate the stop of a Trading Session.mp4 34.4 MB
  • 25 - Appendix 1 Python (& Finance) Basics/042 Intro to Strings.mp4 34.3 MB
  • 20 - Implementing and automating Futures Trading on Binance/007 Getting Historical Futures Market Data.mp4 34.1 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/010 Limit Orders vs. Market Orders.mp4 34.1 MB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/004 Why Trading Cryptocurrencies.mp4 34.0 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/008 Price changes and Financial Returns.mp4 34.0 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/002 Test your debugging skills!.mp4 33.9 MB
  • 13 - Implementation and Automation of Trading Strategies with Binance/005 Creating the LongOnlyTrader Class.mp4 33.6 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/066 Splitting with many Keys.mp4 33.5 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/067 split-apply-combine.mp4 33.5 MB
  • 23 - API Trading with FTX/004 FTX and CCXT - an Overview.mp4 33.2 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/004 The most commonly made Errors at a glance.mp4 32.7 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/035 Summary, Best Practices and Outlook.mp4 32.5 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/015 Continuous Compounding.mp4 32.2 MB
  • 18 - Futures Trading on Binance A-Z/007 A Short Trade.mp4 31.9 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/012 Stop-Loss Orders.mp4 31.7 MB
  • 23 - API Trading with FTX/006 An FTX Spot Trading Bot.mp4 31.7 MB
  • 11 - A Long-only Strategy based on Price & Volume Data/004 Explanatory Data Analysis Financial Returns and Trading Volume (Part 2).mp4 31.5 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/023 Pandas Display Options and the methods head() & tail().mp4 31.4 MB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/006 Alternative Exchanges (FTX, Kraken, etc.).mp4 31.4 MB
  • 22 - API Trading with CCXT/012 Getting Historical Data and Streaming live Data.mp4 30.8 MB
  • 26 - Appendix 2 User-defined Functions/002 What´s the difference between Positional Arguments vs. Keyword Arguments.mp4 30.7 MB
  • 18 - Futures Trading on Binance A-Z/005 A trade with Leverage.mp4 30.3 MB
  • 28 - Appendix 4 Advanced Pandas Time Series Topics/001 Helpful DatetimeIndex Attributes and Methods.mp4 29.9 MB
  • 11 - A Long-only Strategy based on Price & Volume Data/005 Formulating a Long-only Strategy based on Price & Volume Data.mp4 29.8 MB
  • 11 - A Long-only Strategy based on Price & Volume Data/002 Data Preparation.mp4 29.6 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/012 Creating Numpy Arrays from Scratch.mp4 29.5 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/023 Resampling Smoothing of Financial Data.mp4 29.2 MB
  • 22 - API Trading with CCXT/015 Creating Orders and analyzing Trades (Spot).mp4 28.9 MB
  • 14 - A Long-Short Trading Strategy A-Z/006 Strategy Backtesting.mp4 28.6 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/042 First Steps with Pandas Index Objects.mp4 28.5 MB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/005 How to connect to your EC2 Instance.mp4 27.8 MB
  • 13 - Implementation and Automation of Trading Strategies with Binance/006 Working with historical data and real-time data (Part 1).mp4 27.8 MB
  • 28 - Appendix 4 Advanced Pandas Time Series Topics/004 Timezones and Converting (Part 2).mp4 27.8 MB
  • 18 - Futures Trading on Binance A-Z/016 Introduction to the Funding Rate.mp4 27.5 MB
  • 12 - Strategy Optimization and Forward Testing/006 Backtesting & Forward Testing (Part 1).mp4 27.0 MB
  • 07 - Trading with Python and the Binance API - an Introduction/026 How to create & run a first (simple) Trading Bot.mp4 26.8 MB
  • 12 - Strategy Optimization and Forward Testing/011 The Backtester Class explained (Part 4).mp4 26.1 MB
  • 13 - Implementation and Automation of Trading Strategies with Binance/004 Recap Streaming and Collecting Real-Time Candles.mp4 25.9 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/004 The special method __init__().mp4 25.8 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/005 The method get_data().mp4 25.7 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/006 IndexErrors.mp4 25.7 MB
  • 20 - Implementing and automating Futures Trading on Binance/008 Streaming Future Prices in real-time.mp4 25.5 MB
  • 25 - Appendix 1 Python (& Finance) Basics/022 Coding Exercise 2.mp4 25.2 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/050 Intro to NA Values missing Values.mp4 25.2 MB
  • 22 - API Trading with CCXT/018 Excursus Generalization.mp4 25.1 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/013 The Order Book.mp4 25.1 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/046 Filtering DataFrames (one Condition).mp4 25.0 MB
  • 10 - What is a Trading Strategy/003 Trading Strategies for Cryptocurrencies (best practices).mp4 25.0 MB
  • 25 - Appendix 1 Python (& Finance) Basics/036 Adding and removing Elements fromto Lists.mp4 24.8 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/001 Introduction and Overview.mp4 24.5 MB
  • 07 - Trading with Python and the Binance API - an Introduction/005 Connecting to the APIServer.mp4 24.2 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/016 How to slice 2-dim Numpy Arrays (Part 1).mp4 23.9 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/012 Compound Returns & Geometric Mean Return.mp4 23.9 MB
  • 23 - API Trading with FTX/001 Introduction.mp4 23.9 MB
  • 10 - What is a Trading Strategy/006 Getting the Data.mp4 23.8 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/053 Summary Statistics and Accumulations.mp4 23.7 MB
  • 26 - Appendix 2 User-defined Functions/008 Scope - easily explained.mp4 23.7 MB
  • 07 - Trading with Python and the Binance API - an Introduction/025 Reporting Getting all (historical) Orders and Trades.mp4 23.5 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/014 Bid-Ask-Spread and Slippage.mp4 23.4 MB
  • 26 - Appendix 2 User-defined Functions/001 Defining your first user-defined Function.mp4 23.3 MB
  • 25 - Appendix 1 Python (& Finance) Basics/048 Conditional Statements.mp4 23.3 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/016 Liquidity and Market Depth.mp4 23.1 MB
  • 18 - Futures Trading on Binance A-Z/002 First Steps.mp4 23.1 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/029 Short Selling and Short Position Returns (Part 3).mp4 22.9 MB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/011 How to schedule Trading sessions with the Task Scheduler.mp4 22.6 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/002 Numpy Arrays.mp4 22.4 MB
  • 22 - API Trading with CCXT/004 General Exchange Information.mp4 22.3 MB
  • 26 - Appendix 2 User-defined Functions/006 Sequences as arguments and args.mp4 22.3 MB
  • 14 - A Long-Short Trading Strategy A-Z/004 Defining the Long-Short Strategy.mp4 22.2 MB
  • 18 - Futures Trading on Binance A-Z/020 The Funding Rate live in action.mp4 22.2 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/045 Renaming Index & Column Labels with rename().mp4 22.1 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/011 Adding more methods and performance metrics.mp4 22.0 MB
  • 25 - Appendix 1 Python (& Finance) Basics/046 Comparison, Logical and Membership Operators in Action.mp4 22.0 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/026 Selecting Columns.mp4 21.8 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/001 Modules, Packages and Libraries - No need to reinvent the Wheel.mp4 21.8 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/017 Simple Returns vs Log Returns ( Part 1).mp4 21.7 MB
  • 19 - Backtesting Futures Trading Strategies with Leverage/006 The Futures Backtesting Class live in action.mp4 21.6 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/032 Selecting Rows with loc (label-based indexing).mp4 21.2 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/016 Coding Exercise Create your own Class.mp4 21.1 MB
  • 25 - Appendix 1 Python (& Finance) Basics/051 Introduction to while loops.mp4 21.0 MB
  • 16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/003 The Solution explained (Part 1).mp4 21.0 MB
  • 12 - Strategy Optimization and Forward Testing/007 Backtesting & Forward Testing (Part 2).mp4 20.9 MB
  • 25 - Appendix 1 Python (& Finance) Basics/049 Keywords pass, continue and break.mp4 20.9 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/065 Understanding the GroupBy Object.mp4 20.8 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/062 Seaborn Heatmaps.mp4 20.8 MB
  • 23 - API Trading with FTX/003 Creating accounts on FTX.com and FTX.us.mp4 20.5 MB
  • 22 - API Trading with CCXT/007 Loading Historical Data (Part 2).mp4 20.4 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/010 The method set_ticker().mp4 20.3 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/005 Changing Elements in Numpy Arrays & Mutability.mp4 20.3 MB
  • 25 - Appendix 1 Python (& Finance) Basics/037 Mutable vs. immutable Objects (Part 1).mp4 20.2 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/018 Simple Returns vs Log Returns ( Part 2).mp4 20.2 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/009 Encapsulation and protected Attributes.mp4 20.2 MB
  • 18 - Futures Trading on Binance A-Z/006 The impact of Leverage.mp4 20.0 MB
  • 22 - API Trading with CCXT/013 The Private API.mp4 19.9 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/009 Reward and Risk of Financial Instruments.mp4 19.7 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/010 Advanced Filtering & Bitwise Operators.mp4 19.4 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/005 Deposits and Withdrawals (Part 1).mp4 19.4 MB
  • 19 - Backtesting Futures Trading Strategies with Leverage/008 The impact of Leverage on Trading Performance.mp4 19.3 MB
  • 26 - Appendix 2 User-defined Functions/003 How to work with Default Arguments.mp4 19.3 MB
  • 26 - Appendix 2 User-defined Functions/004 The Default Argument None.mp4 19.1 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/063 Removing Columns.mp4 19.1 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/012 Problems with the Python Installation.mp4 19.0 MB
  • 25 - Appendix 1 Python (& Finance) Basics/041 Dictionaries.mp4 18.8 MB
  • 16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/005 The Solution explained (Part 3).mp4 18.7 MB
  • 25 - Appendix 1 Python (& Finance) Basics/019 Calculate FV and PV for many Cashflows.mp4 18.7 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/058 Scatterplots.mp4 18.3 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/041 Sorting of Series and Introduction to the inplace - parameter.mp4 18.1 MB
  • 22 - API Trading with CCXT/008 Streaming real-time Data (Part 1).mp4 18.1 MB
  • 25 - Appendix 1 Python (& Finance) Basics/017 For Loops - Iterating over Lists.mp4 18.0 MB
  • 20 - Implementing and automating Futures Trading on Binance/001 Introduction and Preparations.mp4 18.0 MB
  • 25 - Appendix 1 Python (& Finance) Basics/040 Tuples.mp4 17.8 MB
  • 28 - Appendix 4 Advanced Pandas Time Series Topics/003 Timezones and Converting (Part 1).mp4 17.6 MB
  • 18 - Futures Trading on Binance A-Z/011 How to add Stop Loss to an open position.mp4 17.3 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/028 Short Selling and Short Position Returns (Part 2).mp4 17.2 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/015 Total Costs of a Trade (visible vs. hidden Costs).mp4 17.0 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/040 The copy() method.mp4 16.7 MB
  • 18 - Futures Trading on Binance A-Z/010 Excursus The Futures Calculator.mp4 16.7 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/009 Another Spot Trade (sell Bitcoin).mp4 16.3 MB
  • 25 - Appendix 1 Python (& Finance) Basics/020 The Net Present Value - NPV (Theory).mp4 16.1 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/057 Histogramms (Part 2).mp4 16.1 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/022 Annualizing Return and Risk.mp4 16.0 MB
  • 07 - Trading with Python and the Binance API - an Introduction/002 Getting the API Key & other Preparations.mp4 16.0 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/019 How to perform row-wise and column-wise Operations.mp4 15.8 MB
  • 12 - Strategy Optimization and Forward Testing/008 The Backtester Class explained (Part 1).mp4 15.8 MB
  • 13 - Implementation and Automation of Trading Strategies with Binance/007 Working with historical data and real-time data (Part 2).mp4 15.5 MB
  • 20 - Implementing and automating Futures Trading on Binance/006 Placing Market Orders (Part 2).mp4 15.3 MB
  • 25 - Appendix 1 Python (& Finance) Basics/026 Build-in Functions.mp4 15.3 MB
  • 25 - Appendix 1 Python (& Finance) Basics/023 Data Types in Action.mp4 15.3 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/032 Portfolios and Portfolio Returns.mp4 15.3 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/037 First Steps with Pandas Series.mp4 15.2 MB
  • 07 - Trading with Python and the Binance API - an Introduction/001 Overview.mp4 14.9 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/002 The Financial Analysis Class live in action (Part 1).mp4 14.9 MB
  • 11 - A Long-only Strategy based on Price & Volume Data/001 Introduction.mp4 14.6 MB
  • 10 - What is a Trading Strategy/009 Performance Measurement.mp4 14.5 MB
  • 12 - Strategy Optimization and Forward Testing/009 The Backtester Class explained (Part 2).mp4 14.3 MB
  • 25 - Appendix 1 Python (& Finance) Basics/030 More on Lists.mp4 14.1 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/011 Determining a Project´s Payback Period with np.where().mp4 14.1 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/004 How to instantly buy your first Cryptos.mp4 14.1 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/007 String representation and the special method __repr__().mp4 14.1 MB
  • 18 - Futures Trading on Binance A-Z/018 The Funding Rate explained (Part 2).mp4 14.1 MB
  • 10 - What is a Trading Strategy/007 Financial Data Analysis Visual Inspection.mp4 14.1 MB
  • 18 - Futures Trading on Binance A-Z/017 The Funding Rate explained (Part 1).mp4 14.1 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/008 The methods plot_prices() and plot_returns().mp4 14.0 MB
  • 12 - Strategy Optimization and Forward Testing/010 The Backtester Class explained (Part 3).mp4 13.9 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/030 Slicing Rows and Columns with iloc (position-based indexing).mp4 13.9 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/048 Filtering DataFrames by many Conditions (OR).mp4 13.7 MB
  • 22 - API Trading with CCXT/011 Streaming real-time Data (Part 3).mp4 13.7 MB
  • 25 - Appendix 1 Python (& Finance) Basics/038 Mutable vs. immutable Objects (Part 2).mp4 13.7 MB
  • 10 - What is a Trading Strategy/008 A simple Buy and Hold Strategy.mp4 13.6 MB
  • 25 - Appendix 1 Python (& Finance) Basics/009 More on Variables and Memory.mp4 13.4 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/033 Margin Trading and Levered Returns (Part 1).mp4 13.3 MB
  • 25 - Appendix 1 Python (& Finance) Basics/028 Floats.mp4 13.2 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/011 Take-Profit Orders.mp4 13.2 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/003 Registration and Identity Verification.mp4 13.1 MB
  • 26 - Appendix 2 User-defined Functions/005 How to unpack Iterables.mp4 13.1 MB
  • 07 - Trading with Python and the Binance API - an Introduction/023 Placing a Market Sell Order.mp4 13.1 MB
  • 25 - Appendix 1 Python (& Finance) Basics/050 Calculate a Project´s Payback Period.mp4 13.0 MB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/006 Deposits and Withdrawals (Part 2).mp4 13.0 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/003 The Financial Analysis Class live in action (Part 2).mp4 12.8 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/015 Summary and Debugging Flow-Chart.mp4 12.8 MB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/010 How to start Trading sessions with Batch (.bat) Files.mp4 12.8 MB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/008 How to run Python Scripts in a Windows Command Prompt.mp4 12.7 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/004 Vectorized Operations with Numpy Arrays.mp4 12.7 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/059 First Steps with Seaborn.mp4 12.7 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/009 TypeErrors and ValueErrors.mp4 11.9 MB
  • 22 - API Trading with CCXT/009 Introduction to Multithreaded Programming.mp4 11.9 MB
  • 07 - Trading with Python and the Binance API - an Introduction/020 Creating a Connection to the Spot Testnet.mp4 11.8 MB
  • 25 - Appendix 1 Python (& Finance) Basics/006 Introduction to Variables.mp4 11.6 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/056 Histogramms (Part 1).mp4 11.5 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/015 Creating and Importing Python Modules (.py).mp4 11.5 MB
  • 07 - Trading with Python and the Binance API - an Introduction/019 The Binance Spot Test Network.mp4 11.5 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/018 Recap Changing Elements in a Numpy Array slice.mp4 11.4 MB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/006 The method log_returns().mp4 11.4 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/007 Numpy Array Methods and Attributes.mp4 11.4 MB
  • 09 - +++ PART 2 Algorithmic Trading Spot Trading +++/001 Overview.mp4 11.3 MB
  • 25 - Appendix 1 Python (& Finance) Basics/029 How to round Floats (and Integers) with round().mp4 11.3 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/006 View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4 11.2 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/015 2-dimensional Numpy Arrays.mp4 11.2 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/021 Intro to Tabular Data Pandas.mp4 11.1 MB
  • 07 - Trading with Python and the Binance API - an Introduction/018 Placing a Test Order.mp4 11.1 MB
  • 18 - Futures Trading on Binance A-Z/019 The Funding Rate explained (Part 3).mp4 11.0 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/044 Changing Column Labels.mp4 11.0 MB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/007 Getting the Instance Ready for Algorithmic Trading.mp4 10.8 MB
  • 25 - Appendix 1 Python (& Finance) Basics/031 Lists and Element-wise Operations.mp4 10.8 MB
  • 22 - API Trading with CCXT/002 Preparations.mp4 10.7 MB
  • 14 - A Long-Short Trading Strategy A-Z/002 Getting started.mp4 10.7 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/047 Filtering DataFrames by many Conditions (AND).mp4 10.6 MB
  • 25 - Appendix 1 Python (& Finance) Basics/003 Calculate Present Values (FV) with Python Discounting.mp4 10.5 MB
  • 22 - API Trading with CCXT/010 Streaming real-time Data (Part 2).mp4 10.4 MB
  • 25 - Appendix 1 Python (& Finance) Basics/010 Variables - Dos, Don´ts and Conventions.mp4 10.2 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/009 Boolean Arrays and Conditional Filtering.mp4 10.1 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/014 How to work with nested Lists.mp4 9.9 MB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/001 Introduction and Motivation.mp4 9.9 MB
  • 25 - Appendix 1 Python (& Finance) Basics/018 The range Object - another Iterable.mp4 9.9 MB
  • 12 - Strategy Optimization and Forward Testing/004 Strategy Optimization (Part 2).mp4 9.9 MB
  • 22 - API Trading with CCXT/014 How to connect to Testnets (Sandbox mode).mp4 9.8 MB
  • 25 - Appendix 1 Python (& Finance) Basics/043 String Replacement.mp4 9.7 MB
  • 25 - Appendix 1 Python (& Finance) Basics/032 Slicing Lists.mp4 9.7 MB
  • 25 - Appendix 1 Python (& Finance) Basics/011 The print() Function.mp4 9.5 MB
  • 25 - Appendix 1 Python (& Finance) Basics/005 Calculate Interest Rates and Returns with Python.mp4 9.4 MB
  • 07 - Trading with Python and the Binance API - an Introduction/016 Streaming real-time Market Data (Part 2).mp4 9.4 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/008 Numpy Universal Functions.mp4 9.4 MB
  • 25 - Appendix 1 Python (& Finance) Basics/001 Intro to the Time Value of Money (TVM) Concept (Theory).mp4 8.9 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/026 Short Selling and Short Position Returns (Part 1).mp4 8.7 MB
  • 12 - Strategy Optimization and Forward Testing/002 Getting started.mp4 8.5 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/013 External Factors and Issues.mp4 8.4 MB
  • 02 - +++ PART 1 Fundamentals of Trading, Binance and Python for Finance +++/001 PART 1 Overview.mp4 8.4 MB
  • 25 - Appendix 1 Python (& Finance) Basics/021 Calculate an Investment Project´s NPV.mp4 8.4 MB
  • 25 - Appendix 1 Python (& Finance) Basics/016 Indexing Lists.mp4 8.4 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/008 Misuse of function names and keywords.mp4 7.8 MB
  • 25 - Appendix 1 Python (& Finance) Basics/035 Sorting and Reversing Lists.mp4 7.6 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/014 Errors related to the course content (Transcription Errors).mp4 7.6 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/001 Introduction.mp4 7.4 MB
  • 25 - Appendix 1 Python (& Finance) Basics/002 Calculate Future Values (FV) with Python Compounding.mp4 7.4 MB
  • 25 - Appendix 1 Python (& Finance) Basics/004 Interest Rates and Returns (Theory).mp4 7.4 MB
  • 25 - Appendix 1 Python (& Finance) Basics/034 Changing Elements in Lists.mp4 7.3 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/007 Indentation Errors.mp4 7.1 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/003 Indexing and Slicing Numpy Arrays.mp4 6.9 MB
  • 25 - Appendix 1 Python (& Finance) Basics/045 Operators (Theory).mp4 6.5 MB
  • 24 - +++ APPENDIX Python Crash Course +++/001 Introduction and Overview.mp4 6.4 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/028 Zero-based Indexing and Negative Indexing.mp4 6.4 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/052 Exporting DataFrames to csv.mp4 6.4 MB
  • 25 - Appendix 1 Python (& Finance) Basics/027 Integers.mp4 6.3 MB
  • 26 - Appendix 2 User-defined Functions/007 How to return many results.mp4 6.2 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/016 Log Returns.mp4 6.2 MB
  • 25 - Appendix 1 Python (& Finance) Basics/013 TVM Problems with many Cashflows.mp4 6.2 MB
  • 25 - Appendix 1 Python (& Finance) Basics/007 Excursus How to add inline comments.mp4 6.1 MB
  • 14 - A Long-Short Trading Strategy A-Z/003 Recap Explanatory Data Analysis and generating a Trading Idea.mp4 6.0 MB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/002 Installing and importing required LibrariesPackages.mp4 5.8 MB
  • 07 - Trading with Python and the Binance API - an Introduction/004 How to install the Binance API Wrapper.mp4 5.7 MB
  • 25 - Appendix 1 Python (& Finance) Basics/024 The Data Type Hierarchy (Theory).mp4 5.5 MB
  • 25 - Appendix 1 Python (& Finance) Basics/044 Booleans.mp4 5.4 MB
  • 19 - Backtesting Futures Trading Strategies with Leverage/002 Getting the Data.mp4 5.2 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/017 How to slice 2-dim Numpy Arrays (Part 2).mp4 4.8 MB
  • 05 - Installing Python and Jupyter Notebooks/005 Tips for Python Beginners.mp4 4.7 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/027 Selecting one Column with the dot notation.mp4 4.6 MB
  • 05 - Installing Python and Jupyter Notebooks/001 Introduction.mp4 4.4 MB
  • 25 - Appendix 1 Python (& Finance) Basics/014 Intro to Python Lists.mp4 4.4 MB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/064 Introduction to GroupBy Operations.mp4 4.2 MB
  • 13 - Implementation and Automation of Trading Strategies with Binance/002 Getting started.mp4 4.2 MB
  • 25 - Appendix 1 Python (& Finance) Basics/015 Zero-based Indexing and negative Indexing in Python (Theory).mp4 4.0 MB
  • 18 - Futures Trading on Binance A-Z/001 Creating an account on Binance Futures Testnet.mp4 3.3 MB
  • 25 - Appendix 1 Python (& Finance) Basics/025 Excursus Dynamic Typing in Python.mp4 3.1 MB
  • 25 - Appendix 1 Python (& Finance) Basics/008 Variables and Memory (Theory).mp4 2.9 MB
  • 19 - Backtesting Futures Trading Strategies with Leverage/004 Recap Leverage and levered Returns.mp4 2.9 MB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/003 Major reasons for Coding Errors.mp4 2.5 MB
  • 24 - +++ APPENDIX Python Crash Course +++/002 Appendix-Materials.zip 1.3 MB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/007 Spot-vs-Futures.pdf 1.1 MB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/001 Trading-vs-Investing.pdf 859.3 kB
  • 09 - +++ PART 2 Algorithmic Trading Spot Trading +++/002 Part2-Materials.zip 849.4 kB
  • 17 - +++ PART 3 Algorithmic Trading Futures Trading +++/002 Part3-Materials.zip 837.8 kB
  • 16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/002 Homework-Challenge.zip 832.7 kB
  • 02 - +++ PART 1 Fundamentals of Trading, Binance and Python for Finance +++/002 Part1-Materials.zip 472.3 kB
  • 18 - Futures Trading on Binance A-Z/004 Long-btc.xlsx 129.4 kB
  • 25 - Appendix 1 Python (& Finance) Basics/033 Slicing-cheatsheet.pdf 107.8 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/008 trade-analysis.xlsx 91.2 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/031 pandas-iloc.pdf 73.7 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/034 Pandas-loc.pdf 69.4 kB
  • 05 - Installing Python and Jupyter Notebooks/004 How to work with Jupyter Notebooks_en.srt 17.8 kB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/001 Investing vs. (Algorithmic) Trading_en.srt 17.8 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/060 Categorical Seaborn Plots_en.srt 17.6 kB
  • 07 - Trading with Python and the Binance API - an Introduction/012 How to load Historical Price & Volume Data (Part 2)_en.srt 15.5 kB
  • 21 - +++ PART 4 API Trading with other Exchanges (FTX, Kraken & co.) +++/002 Part4-Materials.zip 15.3 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/055 Customization of Plots_en.srt 14.9 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/024 First Data Inspection_en.srt 14.9 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/021 (Non-) Normality of Financial Returns_en.srt 14.9 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/061 Seaborn Regression Plots_en.srt 14.6 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/004 Initial Inspection and Visualization_en.srt 14.3 kB
  • 20 - Implementing and automating Futures Trading on Binance/002 The Binance Futures API_en.srt 14.2 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/001 Binance.com and Binance.US at a first glance_en.srt 14.2 kB
  • 18 - Futures Trading on Binance A-Z/009 Margin Requirements and Liquidation (Part 2)_en.srt 13.8 kB
  • 25 - Appendix 1 Python (& Finance) Basics/039 Coding Exercise 3_en.srt 13.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/051 Handling NA Values missing Values_en.srt 13.6 kB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/002 Asset Classes, Money and (Crypto-) Currencies_en.srt 13.3 kB
  • 16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/001 Introduction_en.srt 13.2 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/046 Filtering DataFrames (one Condition)_en.srt 13.2 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/001 Introduction to OOP and examples for Classes_en.srt 13.0 kB
  • 13 - Implementation and Automation of Trading Strategies with Binance/010 Trade Monitoring and Reporting_en.srt 12.9 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/003 Loading Financial Data from the Web_en.srt 12.8 kB
  • 12 - Strategy Optimization and Forward Testing/005 Putting everything together a Backtester Class_en.srt 12.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/043 Changing Row Index with set_index() and reset_index()_en.srt 12.5 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/007 The first Spot Trade (buy Bitcoin)_en.srt 12.5 kB
  • 28 - Appendix 4 Advanced Pandas Time Series Topics/002 Filling NA Values with bfill, ffill and interpolation_en.srt 12.4 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/067 split-apply-combine_en.srt 12.4 kB
  • 19 - Backtesting Futures Trading Strategies with Leverage/005 Levered Returns a more realistic approach_en.srt 12.3 kB
  • 12 - Strategy Optimization and Forward Testing/003 Strategy Optimization (Part 1)_en.srt 12.3 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/053 Summary Statistics and Accumulations_en.srt 12.3 kB
  • 30 - What´s next (outlook and additional resources)/001 Bonus Lecture.html 12.2 kB
  • 25 - Appendix 1 Python (& Finance) Basics/049 Keywords pass, continue and break_en.srt 12.0 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/029 Selecting Rows with iloc (position-based indexing)_en.srt 12.0 kB
  • 18 - Futures Trading on Binance A-Z/003 The first Futures Trade (Long)_en.srt 12.0 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/002 Test your debugging skills!_en.srt 11.9 kB
  • 25 - Appendix 1 Python (& Finance) Basics/036 Adding and removing Elements fromto Lists_en.srt 11.9 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/033 Slicing Rows and Columns with loc (label-based indexing)_en.srt 11.9 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/011 How to traceback more complex Errors_en.srt 11.8 kB
  • 05 - Installing Python and Jupyter Notebooks/003 How to open Jupyter Notebooks_en.srt 11.6 kB
  • 25 - Appendix 1 Python (& Finance) Basics/012 Coding Exercise 1_en.srt 11.5 kB
  • 07 - Trading with Python and the Binance API - an Introduction/008 Retrieving general accountsystem Info (Part 1)_en.srt 11.5 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/020 Comparing the Performance of Financial Instruments_en.srt 11.4 kB
  • 25 - Appendix 1 Python (& Finance) Basics/047 Coding Exercise 4_en.srt 11.4 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/008 Trade Analysis and Trading FeesCommissions_en.srt 11.3 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/050 Intro to NA Values missing Values_en.srt 11.3 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/008 Price changes and Financial Returns_en.srt 11.2 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/054 Visualization with Matplotlib (Intro)_en.srt 11.2 kB
  • 25 - Appendix 1 Python (& Finance) Basics/037 Mutable vs. immutable Objects (Part 1)_en.srt 11.1 kB
  • 19 - Backtesting Futures Trading Strategies with Leverage/007 How to adjust the Framework to (levered) Futures Trading_en.srt 11.1 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/022 Create your very first Pandas DataFrame (from csv)_en.srt 10.9 kB
  • 25 - Appendix 1 Python (& Finance) Basics/048 Conditional Statements_en.srt 10.9 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/024 Rolling Statistics_en.srt 10.8 kB
  • 22 - API Trading with CCXT/006 Loading Historical Data (Part 1)_en.srt 10.7 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/034 Margin Trading and Levered Returns (Part 2)_en.srt 10.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/062 Seaborn Heatmaps_en.srt 10.6 kB
  • 25 - Appendix 1 Python (& Finance) Basics/042 Intro to Strings_en.srt 10.5 kB
  • 07 - Trading with Python and the Binance API - an Introduction/017 Streaming and collecting real-time Candles_en.srt 10.4 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/065 Understanding the GroupBy Object_en.srt 10.4 kB
  • 11 - A Long-only Strategy based on Price & Volume Data/003 Explanatory Data Analysis Financial Returns and Trading Volume (Part 1)_en.srt 10.3 kB
  • 25 - Appendix 1 Python (& Finance) Basics/022 Coding Exercise 2_en.srt 10.3 kB
  • 26 - Appendix 2 User-defined Functions/008 Scope - easily explained_en.srt 10.3 kB
  • 25 - Appendix 1 Python (& Finance) Basics/017 For Loops - Iterating over Lists_en.srt 10.2 kB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/005 Why using Binance_en.srt 10.1 kB
  • 11 - A Long-only Strategy based on Price & Volume Data/007 Trading Costs_en.srt 10.1 kB
  • 25 - Appendix 1 Python (& Finance) Basics/046 Comparison, Logical and Membership Operators in Action_en.srt 10.1 kB
  • 22 - API Trading with CCXT/017 A CCXT Spot Trading Bot_en.srt 10.0 kB
  • 22 - API Trading with CCXT/019 A CCXT Futures Trading Bot_en.srt 10.0 kB
  • 25 - Appendix 1 Python (& Finance) Basics/020 The Net Present Value - NPV (Theory)_en.srt 9.9 kB
  • 13 - Implementation and Automation of Trading Strategies with Binance/008 Adding a Long-Only Trading Strategy_en.srt 9.9 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/014 Discrete Compounding_en.srt 9.8 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/012 Inheritance_en.srt 9.7 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/002 Numpy Arrays_en.srt 9.7 kB
  • 18 - Futures Trading on Binance A-Z/014 Position Mode One-way (Netting) vs. Hedging_en.srt 9.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/049 Advanced Filtering with between(), isin() and ~_en.srt 9.6 kB
  • 11 - A Long-only Strategy based on Price & Volume Data/005 Formulating a Long-only Strategy based on Price & Volume Data_en.srt 9.4 kB
  • 23 - API Trading with FTX/007 Futures Trading on FTX_en.srt 9.4 kB
  • 05 - Installing Python and Jupyter Notebooks/002 Download and Install Anaconda_en.srt 9.3 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/005 Deposits and Withdrawals (Part 1)_en.srt 9.3 kB
  • 25 - Appendix 1 Python (& Finance) Basics/051 Introduction to while loops_en.srt 9.3 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/004 The special method __init__()_en.srt 9.3 kB
  • 18 - Futures Trading on Binance A-Z/013 Margin Mode Cross vs. Isolated_en.srt 9.3 kB
  • 25 - Appendix 1 Python (& Finance) Basics/019 Calculate FV and PV for many Cashflows_en.srt 9.3 kB
  • 18 - Futures Trading on Binance A-Z/008 Margin Requirements and Liquidation (Part 1)_en.srt 9.2 kB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/004 How to create an EC2 Instance_en.srt 9.2 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/023 Resampling Smoothing of Financial Data_en.srt 9.2 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/027 Introduction to Currencies (Forex) and Trading_en.srt 9.1 kB
  • 07 - Trading with Python and the Binance API - an Introduction/022 Placing a Market Buy Order_en.srt 9.1 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/031 Covariance and Correlation_en.srt 9.0 kB
  • 14 - A Long-Short Trading Strategy A-Z/006 Strategy Backtesting_en.srt 9.0 kB
  • 11 - A Long-only Strategy based on Price & Volume Data/006 Strategy Backtesting_en.srt 9.0 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/016 Coding Exercise Create your own Class_en.srt 8.9 kB
  • 20 - Implementing and automating Futures Trading on Binance/004 Placing Market Orders (Part 1)_en.srt 8.9 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/015 Summary and Debugging Flow-Chart_en.srt 8.9 kB
  • 20 - Implementing and automating Futures Trading on Binance/010 A Futures Trading Bot (Part 2)_en.srt 8.9 kB
  • 13 - Implementation and Automation of Trading Strategies with Binance/009 Placing Orders and Executing Trades_en.srt 8.7 kB
  • 17 - +++ PART 3 Algorithmic Trading Futures Trading +++/001 Overview_en.srt 8.6 kB
  • 25 - Appendix 1 Python (& Finance) Basics/040 Tuples_en.srt 8.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/058 Scatterplots_en.srt 8.6 kB
  • 07 - Trading with Python and the Binance API - an Introduction/014 Streaming real-time Market Data (Part 1)_en.srt 8.6 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/014 Bid-Ask-Spread and Slippage_en.srt 8.5 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/066 Splitting with many Keys_en.srt 8.4 kB
  • 22 - API Trading with CCXT/012 Getting Historical Data and Streaming live Data_en.srt 8.4 kB
  • 07 - Trading with Python and the Binance API - an Introduction/011 How to load Historical Price & Volume Data (Part 1)_en.srt 8.4 kB
  • 14 - A Long-Short Trading Strategy A-Z/010 Preview Running a Python Trader Script_en.srt 8.4 kB
  • 20 - Implementing and automating Futures Trading on Binance/009 A Futures Trading Bot (Part 1)_en.srt 8.3 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/005 Omitting cells, changing the sequence and more_en.srt 8.3 kB
  • 25 - Appendix 1 Python (& Finance) Basics/041 Dictionaries_en.srt 8.3 kB
  • 07 - Trading with Python and the Binance API - an Introduction/010 Getting (current) Market Data_en.srt 8.3 kB
  • 25 - Appendix 1 Python (& Finance) Basics/009 More on Variables and Memory_en.srt 8.3 kB
  • 19 - Backtesting Futures Trading Strategies with Leverage/001 Introduction_en.srt 8.2 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/057 Histogramms (Part 2)_en.srt 8.2 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/011 Investment Multiple and CAGR_en.srt 8.2 kB
  • 01 - Getting Started/004 Student FAQ.html 8.2 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/023 Pandas Display Options and the methods head() & tail()_en.srt 8.2 kB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/004 Why Trading Cryptocurrencies_en.srt 8.2 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/035 Summary, Best Practices and Outlook_en.srt 8.2 kB
  • 18 - Futures Trading on Binance A-Z/018 The Funding Rate explained (Part 2)_en.srt 8.0 kB
  • 26 - Appendix 2 User-defined Functions/004 The Default Argument None_en.srt 8.0 kB
  • 22 - API Trading with CCXT/001 Introduction_en.srt 8.0 kB
  • 10 - What is a Trading Strategy/004 How to create your own Trading Strategies_en.srt 7.9 kB
  • 18 - Futures Trading on Binance A-Z/004 Trade Analysis_en.srt 7.9 kB
  • 25 - Appendix 1 Python (& Finance) Basics/026 Build-in Functions_en.srt 7.9 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/012 Stop-Loss Orders_en.srt 7.8 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/014 Adding meaningful Docstrings_en.srt 7.7 kB
  • 16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/004 The Solution explained (Part 2)_en.srt 7.7 kB
  • 25 - Appendix 1 Python (& Finance) Basics/023 Data Types in Action_en.srt 7.7 kB
  • 26 - Appendix 2 User-defined Functions/002 What´s the difference between Positional Arguments vs. Keyword Arguments_en.srt 7.7 kB
  • 07 - Trading with Python and the Binance API - an Introduction/024 Placing Limit Orders_en.srt 7.6 kB
  • 26 - Appendix 2 User-defined Functions/001 Defining your first user-defined Function_en.srt 7.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/010 Advanced Filtering & Bitwise Operators_en.srt 7.6 kB
  • 01 - Getting Started/006 Course Overview_en.srt 7.6 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/012 Problems with the Python Installation_en.srt 7.6 kB
  • 13 - Implementation and Automation of Trading Strategies with Binance/006 Working with historical data and real-time data (Part 1)_en.srt 7.6 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/010 Getting help on StackOverflow.com_en.srt 7.6 kB
  • 28 - Appendix 4 Advanced Pandas Time Series Topics/001 Helpful DatetimeIndex Attributes and Methods_en.srt 7.6 kB
  • 18 - Futures Trading on Binance A-Z/017 The Funding Rate explained (Part 1)_en.srt 7.6 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/013 Inheritance and the super() Function_en.srt 7.5 kB
  • 23 - API Trading with FTX/008 An FTX Futures Trading Bot_en.srt 7.5 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/010 Limit Orders vs. Market Orders_en.srt 7.5 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/017 Simple Returns vs Log Returns ( Part 1)_en.srt 7.5 kB
  • 25 - Appendix 1 Python (& Finance) Basics/001 Intro to the Time Value of Money (TVM) Concept (Theory)_en.srt 7.4 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/006 Normalizing Time Series to a Base Value (100)_en.srt 7.4 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/003 Registration and Identity Verification_en.srt 7.4 kB
  • 22 - API Trading with CCXT/016 Creating Orders and analyzing Trades (Futures)_en.srt 7.4 kB
  • 07 - Trading with Python and the Binance API - an Introduction/009 Retrieving general accountsystem Info (Part 2)_en.srt 7.3 kB
  • 07 - Trading with Python and the Binance API - an Introduction/021 Spot Testnet API - Overview_en.srt 7.3 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/016 How to slice 2-dim Numpy Arrays (Part 1)_en.srt 7.3 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/018 Simple Returns vs Log Returns ( Part 2)_en.srt 7.2 kB
  • 10 - What is a Trading Strategy/001 Trading Strategies - Overview_en.srt 7.2 kB
  • 26 - Appendix 2 User-defined Functions/003 How to work with Default Arguments_en.srt 7.2 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/059 First Steps with Seaborn_en.srt 7.1 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/042 First Steps with Pandas Index Objects_en.srt 7.1 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/005 The method get_data()_en.srt 7.1 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/009 Reward and Risk of Financial Instruments_en.srt 7.1 kB
  • 25 - Appendix 1 Python (& Finance) Basics/028 Floats_en.srt 7.0 kB
  • 01 - Getting Started/003 How to get the best out of this course_en.srt 7.0 kB
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  • 14 - A Long-Short Trading Strategy A-Z/001 Introduction_en.srt 6.9 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/005 Changing Elements in Numpy Arrays & Mutability_en.srt 6.9 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/015 Continuous Compounding_en.srt 6.9 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/004 The most commonly made Errors at a glance_en.srt 6.9 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/011 Adding more methods and performance metrics_en.srt 6.7 kB
  • 18 - Futures Trading on Binance A-Z/006 The impact of Leverage_en.srt 6.7 kB
  • 25 - Appendix 1 Python (& Finance) Basics/030 More on Lists_en.srt 6.7 kB
  • 19 - Backtesting Futures Trading Strategies with Leverage/006 The Futures Backtesting Class live in action_en.srt 6.7 kB
  • 22 - API Trading with CCXT/003 First Steps with CCXT_en.srt 6.7 kB
  • 10 - What is a Trading Strategy/005 [Article] The Lifecycle of a Trading Strategy.html 6.7 kB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/003 What is a Stable Coin_en.srt 6.6 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/004 How to instantly buy your first Cryptos_en.srt 6.6 kB
  • 25 - Appendix 1 Python (& Finance) Basics/029 How to round Floats (and Integers) with round()_en.srt 6.6 kB
  • 13 - Implementation and Automation of Trading Strategies with Binance/005 Creating the LongOnlyTrader Class_en.srt 6.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/012 Creating Numpy Arrays from Scratch_en.srt 6.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/026 Selecting Columns_en.srt 6.6 kB
  • 25 - Appendix 1 Python (& Finance) Basics/006 Introduction to Variables_en.srt 6.6 kB
  • 19 - Backtesting Futures Trading Strategies with Leverage/008 The impact of Leverage on Trading Performance_en.srt 6.6 kB
  • 26 - Appendix 2 User-defined Functions/006 Sequences as arguments and args_en.srt 6.5 kB
  • 01 - Getting Started/002 Did you know... (a Sneak Preview on Crypto Trading)_en.srt 6.5 kB
  • 23 - API Trading with FTX/001 Introduction_en.srt 6.5 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/006 Deposits and Withdrawals (Part 2)_en.srt 6.5 kB
  • 14 - A Long-Short Trading Strategy A-Z/007 A Long-Short Trading Framework_en.srt 6.4 kB
  • 10 - What is a Trading Strategy/009 Performance Measurement_en.srt 6.4 kB
  • 14 - A Long-Short Trading Strategy A-Z/005 A Long-Short Backtesting Framework_en.srt 6.4 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/063 Removing Columns_en.srt 6.3 kB
  • 22 - API Trading with CCXT/009 Introduction to Multithreaded Programming_en.srt 6.3 kB
  • 14 - A Long-Short Trading Strategy A-Z/004 Defining the Long-Short Strategy_en.srt 6.3 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/008 The methods plot_prices() and plot_returns()_en.srt 6.3 kB
  • 22 - API Trading with CCXT/008 Streaming real-time Data (Part 1)_en.srt 6.2 kB
  • 19 - Backtesting Futures Trading Strategies with Leverage/003 Backtesting without Leverage and Trading Costs in the Futures Market_en.srt 6.2 kB
  • 25 - Appendix 1 Python (& Finance) Basics/038 Mutable vs. immutable Objects (Part 2)_en.srt 6.2 kB
  • 25 - Appendix 1 Python (& Finance) Basics/018 The range Object - another Iterable_en.srt 6.2 kB
  • 22 - API Trading with CCXT/005 The Public API_en.srt 6.2 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/007 Numpy Array Methods and Attributes_en.srt 6.1 kB
  • 22 - API Trading with CCXT/007 Loading Historical Data (Part 2)_en.srt 6.1 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/013 The Order Book_en.srt 6.1 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/011 Determining a Project´s Payback Period with np.where()_en.srt 6.0 kB
  • 25 - Appendix 1 Python (& Finance) Basics/004 Interest Rates and Returns (Theory)_en.srt 6.0 kB
  • 20 - Implementing and automating Futures Trading on Binance/005 Trade Analysis - Trade and Income History_en.srt 6.0 kB
  • 20 - Implementing and automating Futures Trading on Binance/003 How to change Settings and Modes_en.srt 6.0 kB
  • 23 - API Trading with FTX/004 FTX and CCXT - an Overview_en.srt 6.0 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/007 Coding Challenge #1_en.srt 6.0 kB
  • 07 - Trading with Python and the Binance API - an Introduction/013 Excursus Loading Historical Data (csv) from the Website_en.srt 5.9 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/022 Annualizing Return and Risk_en.srt 5.9 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/009 Boolean Arrays and Conditional Filtering_en.srt 5.9 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/006 View vs. copy - potential Pitfalls when slicing Numpy Arrays_en.srt 5.9 kB
  • 28 - Appendix 4 Advanced Pandas Time Series Topics/004 Timezones and Converting (Part 2)_en.srt 5.8 kB
  • 11 - A Long-only Strategy based on Price & Volume Data/001 Introduction_en.srt 5.8 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/048 Filtering DataFrames by many Conditions (OR)_en.srt 5.8 kB
  • 13 - Implementation and Automation of Trading Strategies with Binance/011 How to setautomate the stop of a Trading Session_en.srt 5.8 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/021 Intro to Tabular Data Pandas_en.srt 5.8 kB
  • 16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/003 The Solution explained (Part 1)_en.srt 5.8 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/033 Margin Trading and Levered Returns (Part 1)_en.srt 5.8 kB
  • 25 - Appendix 1 Python (& Finance) Basics/050 Calculate a Project´s Payback Period_en.srt 5.8 kB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/006 Alternative Exchanges (FTX, Kraken, etc.)_en.srt 5.7 kB
  • 23 - API Trading with FTX/005 What you should consider for Backtesting_en.srt 5.7 kB
  • 11 - A Long-only Strategy based on Price & Volume Data/002 Data Preparation_en.srt 5.7 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/019 How to perform row-wise and column-wise Operations_en.srt 5.7 kB
  • 10 - What is a Trading Strategy/003 Trading Strategies for Cryptocurrencies (best practices)_en.srt 5.7 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/014 How to work with nested Lists_en.srt 5.6 kB
  • 26 - Appendix 2 User-defined Functions/005 How to unpack Iterables_en.srt 5.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/047 Filtering DataFrames by many Conditions (AND)_en.srt 5.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/056 Histogramms (Part 1)_en.srt 5.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/040 The copy() method_en.srt 5.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/030 Slicing Rows and Columns with iloc (position-based indexing)_en.srt 5.5 kB
  • 28 - Appendix 4 Advanced Pandas Time Series Topics/003 Timezones and Converting (Part 1)_en.srt 5.5 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/002 The Financial Analysis Class live in action (Part 1)_en.srt 5.5 kB
  • 25 - Appendix 1 Python (& Finance) Basics/031 Lists and Element-wise Operations_en.srt 5.5 kB
  • 18 - Futures Trading on Binance A-Z/015 How to work with many open positions_en.srt 5.5 kB
  • 25 - Appendix 1 Python (& Finance) Basics/045 Operators (Theory)_en.srt 5.5 kB
  • 12 - Strategy Optimization and Forward Testing/007 Backtesting & Forward Testing (Part 2)_en.srt 5.5 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/028 Short Selling and Short Position Returns (Part 2)_en.srt 5.5 kB
  • 12 - Strategy Optimization and Forward Testing/006 Backtesting & Forward Testing (Part 1)_en.srt 5.5 kB
  • 22 - API Trading with CCXT/013 The Private API_en.srt 5.5 kB
  • 11 - A Long-only Strategy based on Price & Volume Data/004 Explanatory Data Analysis Financial Returns and Trading Volume (Part 2)_en.srt 5.4 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/006 IndexErrors_en.srt 5.4 kB
  • 20 - Implementing and automating Futures Trading on Binance/007 Getting Historical Futures Market Data_en.srt 5.4 kB
  • 23 - API Trading with FTX/006 An FTX Spot Trading Bot_en.srt 5.4 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/013 External Factors and Issues_en.srt 5.3 kB
  • 25 - Appendix 1 Python (& Finance) Basics/011 The print() Function_en.srt 5.3 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/014 Errors related to the course content (Transcription Errors)_en.srt 5.2 kB
  • 20 - Implementing and automating Futures Trading on Binance/008 Streaming Future Prices in real-time_en.srt 5.2 kB
  • 07 - Trading with Python and the Binance API - an Introduction/005 Connecting to the APIServer_en.srt 5.2 kB
  • 25 - Appendix 1 Python (& Finance) Basics/032 Slicing Lists_en.srt 5.2 kB
  • 23 - API Trading with FTX/003 Creating accounts on FTX.com and FTX.us_en.srt 5.1 kB
  • 22 - API Trading with CCXT/015 Creating Orders and analyzing Trades (Spot)_en.srt 5.1 kB
  • 22 - API Trading with CCXT/018 Excursus Generalization_en.srt 5.1 kB
  • 13 - Implementation and Automation of Trading Strategies with Binance/004 Recap Streaming and Collecting Real-Time Candles_en.srt 5.1 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/029 Short Selling and Short Position Returns (Part 3)_en.srt 5.1 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/037 First Steps with Pandas Series_en.srt 5.0 kB
  • 25 - Appendix 1 Python (& Finance) Basics/043 String Replacement_en.srt 5.0 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/012 Compound Returns & Geometric Mean Return_en.srt 5.0 kB
  • 25 - Appendix 1 Python (& Finance) Basics/005 Calculate Interest Rates and Returns with Python_en.srt 5.0 kB
  • 07 - Trading with Python and the Binance API - an Introduction/018 Placing a Test Order_en.srt 5.0 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/045 Renaming Index & Column Labels with rename()_en.srt 4.9 kB
  • 12 - Strategy Optimization and Forward Testing/008 The Backtester Class explained (Part 1)_en.srt 4.9 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/001 Introduction and Overview_en.srt 4.9 kB
  • 10 - What is a Trading Strategy/008 A simple Buy and Hold Strategy_en.srt 4.9 kB
  • 25 - Appendix 1 Python (& Finance) Basics/010 Variables - Dos, Don´ts and Conventions_en.srt 4.8 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/016 Liquidity and Market Depth_en.srt 4.8 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/015 2-dimensional Numpy Arrays_en.srt 4.8 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/008 Numpy Universal Functions_en.srt 4.8 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/004 Vectorized Operations with Numpy Arrays_en.srt 4.8 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/015 Creating and Importing Python Modules (.py)_en.srt 4.7 kB
  • 07 - Trading with Python and the Binance API - an Introduction/019 The Binance Spot Test Network_en.srt 4.7 kB
  • 25 - Appendix 1 Python (& Finance) Basics/035 Sorting and Reversing Lists_en.srt 4.7 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/009 Encapsulation and protected Attributes_en.srt 4.7 kB
  • 18 - Futures Trading on Binance A-Z/005 A trade with Leverage_en.srt 4.6 kB
  • 18 - Futures Trading on Binance A-Z/002 First Steps_en.srt 4.6 kB
  • 25 - Appendix 1 Python (& Finance) Basics/024 The Data Type Hierarchy (Theory)_en.srt 4.6 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/018 Recap Changing Elements in a Numpy Array slice_en.srt 4.5 kB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/005 How to connect to your EC2 Instance_en.srt 4.5 kB
  • 18 - Futures Trading on Binance A-Z/012 Stop Loss (SL) and Take Profit (TP) Orders_en.srt 4.5 kB
  • 12 - Strategy Optimization and Forward Testing/011 The Backtester Class explained (Part 4)_en.srt 4.5 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/009 TypeErrors and ValueErrors_en.srt 4.4 kB
  • 18 - Futures Trading on Binance A-Z/010 Excursus The Futures Calculator_en.srt 4.4 kB
  • 03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/009 [Article] Algorithmic Trading 101 and how to start.html 4.4 kB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/010 How to start Trading sessions with Batch (.bat) Files_en.srt 4.4 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/032 Portfolios and Portfolio Returns_en.srt 4.4 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/003 The Financial Analysis Class live in action (Part 2)_en.srt 4.4 kB
  • 12 - Strategy Optimization and Forward Testing/004 Strategy Optimization (Part 2)_en.srt 4.4 kB
  • 25 - Appendix 1 Python (& Finance) Basics/002 Calculate Future Values (FV) with Python Compounding_en.srt 4.4 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/011 Take-Profit Orders_en.srt 4.4 kB
  • 25 - Appendix 1 Python (& Finance) Basics/013 TVM Problems with many Cashflows_en.srt 4.4 kB
  • 18 - Futures Trading on Binance A-Z/011 How to add Stop Loss to an open position_en.srt 4.3 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/007 Indentation Errors_en.srt 4.3 kB
  • 22 - API Trading with CCXT/011 Streaming real-time Data (Part 3)_en.srt 4.3 kB
  • 18 - Futures Trading on Binance A-Z/016 Introduction to the Funding Rate_en.srt 4.3 kB
  • 10 - What is a Trading Strategy/002 [Article] More on Trading Strategies.html 4.2 kB
  • 07 - Trading with Python and the Binance API - an Introduction/002 Getting the API Key & other Preparations_en.srt 4.2 kB
  • 16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/005 The Solution explained (Part 3)_en.srt 4.2 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/028 Zero-based Indexing and Negative Indexing_en.srt 4.1 kB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/008 How to run Python Scripts in a Windows Command Prompt_en.srt 4.1 kB
  • 25 - Appendix 1 Python (& Finance) Basics/027 Integers_en.srt 4.1 kB
  • 18 - Futures Trading on Binance A-Z/007 A Short Trade_en.srt 4.1 kB
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/009 Another Spot Trade (sell Bitcoin)_en.srt 4.0 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/044 Changing Column Labels_en.srt 4.0 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/032 Selecting Rows with loc (label-based indexing)_en.srt 3.9 kB
  • 25 - Appendix 1 Python (& Finance) Basics/016 Indexing Lists_en.srt 3.9 kB
  • 14 - A Long-Short Trading Strategy A-Z/008 Implementing and Automating a Long-Short Trading Strategy_en.srt 3.9 kB
  • 10 - What is a Trading Strategy/007 Financial Data Analysis Visual Inspection_en.srt 3.9 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/026 Short Selling and Short Position Returns (Part 1)_en.srt 3.9 kB
  • 13 - Implementation and Automation of Trading Strategies with Binance/007 Working with historical data and real-time data (Part 2)_en.srt 3.9 kB
  • 25 - Appendix 1 Python (& Finance) Basics/021 Calculate an Investment Project´s NPV_en.srt 3.9 kB
  • 10 - What is a Trading Strategy/006 Getting the Data_en.srt 3.8 kB
  • 02 - +++ PART 1 Fundamentals of Trading, Binance and Python for Finance +++/001 PART 1 Overview_en.srt 3.8 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/001 Introduction_en.srt 3.8 kB
  • 22 - API Trading with CCXT/004 General Exchange Information_en.srt 3.7 kB
  • 18 - Futures Trading on Binance A-Z/019 The Funding Rate explained (Part 3)_en.srt 3.7 kB
  • 22 - API Trading with CCXT/010 Streaming real-time Data (Part 2)_en.srt 3.7 kB
  • 12 - Strategy Optimization and Forward Testing/009 The Backtester Class explained (Part 2)_en.srt 3.7 kB
  • 20 - Implementing and automating Futures Trading on Binance/006 Placing Market Orders (Part 2)_en.srt 3.6 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/006 The method log_returns()_en.srt 3.6 kB
  • 25 - Appendix 1 Python (& Finance) Basics/007 Excursus How to add inline comments_en.srt 3.6 kB
  • 12 - Strategy Optimization and Forward Testing/010 The Backtester Class explained (Part 3)_en.srt 3.6 kB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/007 Getting the Instance Ready for Algorithmic Trading_en.srt 3.6 kB
  • 29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/010 The method set_ticker()_en.srt 3.6 kB
  • 25 - Appendix 1 Python (& Finance) Basics/015 Zero-based Indexing and negative Indexing in Python (Theory)_en.srt 3.6 kB
  • 07 - Trading with Python and the Binance API - an Introduction/001 Overview_en.srt 3.5 kB
  • 25 - Appendix 1 Python (& Finance) Basics/034 Changing Elements in Lists_en.srt 3.4 kB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/001 Introduction and Motivation_en.srt 3.4 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/003 Indexing and Slicing Numpy Arrays_en.srt 3.4 kB
  • 26 - Appendix 2 User-defined Functions/007 How to return many results_en.srt 3.4 kB
  • 20 - Implementing and automating Futures Trading on Binance/001 Introduction and Preparations_en.srt 3.3 kB
  • 18 - Futures Trading on Binance A-Z/020 The Funding Rate live in action_en.srt 3.2 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/008 Misuse of function names and keywords_en.srt 3.2 kB
  • 07 - Trading with Python and the Binance API - an Introduction/016 Streaming real-time Market Data (Part 2)_en.srt 3.2 kB
  • 25 - Appendix 1 Python (& Finance) Basics/003 Calculate Present Values (FV) with Python Discounting_en.srt 3.1 kB
  • 22 - API Trading with CCXT/014 How to connect to Testnets (Sandbox mode)_en.srt 3.1 kB
  • 07 - Trading with Python and the Binance API - an Introduction/025 Reporting Getting all (historical) Orders and Trades_en.srt 3.1 kB
  • 07 - Trading with Python and the Binance API - an Introduction/020 Creating a Connection to the Spot Testnet_en.srt 3.1 kB
  • 24 - +++ APPENDIX Python Crash Course +++/001 Introduction and Overview_en.srt 3.1 kB
  • 25 - Appendix 1 Python (& Finance) Basics/044 Booleans_en.srt 3.1 kB
  • 01 - Getting Started/001 Welcome and Introduction_en.srt 3.0 kB
  • 25 - Appendix 1 Python (& Finance) Basics/014 Intro to Python Lists_en.srt 2.9 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/027 Selecting one Column with the dot notation_en.srt 2.9 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/016 Log Returns_en.srt 2.8 kB
  • 07 - Trading with Python and the Binance API - an Introduction/004 How to install the Binance API Wrapper_en.srt 2.8 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/052 Exporting DataFrames to csv_en.srt 2.7 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/064 Introduction to GroupBy Operations_en.srt 2.7 kB
  • 01 - Getting Started/005 LEGAL DISCLAIMER (MUST READ!).html 2.7 kB
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/017 How to slice 2-dim Numpy Arrays (Part 2)_en.srt 2.6 kB
  • 07 - Trading with Python and the Binance API - an Introduction/023 Placing a Market Sell Order_en.srt 2.6 kB
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/002 Installing and importing required LibrariesPackages_en.srt 2.5 kB
  • 25 - Appendix 1 Python (& Finance) Basics/008 Variables and Memory (Theory)_en.srt 2.4 kB
  • 14 - A Long-Short Trading Strategy A-Z/003 Recap Explanatory Data Analysis and generating a Trading Idea_en.srt 2.3 kB
  • 09 - +++ PART 2 Algorithmic Trading Spot Trading +++/001 Overview_en.srt 2.3 kB
  • 25 - Appendix 1 Python (& Finance) Basics/025 Excursus Dynamic Typing in Python_en.srt 2.2 kB
  • 05 - Installing Python and Jupyter Notebooks/001 Introduction_en.srt 2.1 kB
  • 05 - Installing Python and Jupyter Notebooks/005 Tips for Python Beginners_en.srt 2.1 kB
  • 22 - API Trading with CCXT/002 Preparations_en.srt 1.9 kB
  • 12 - Strategy Optimization and Forward Testing/002 Getting started_en.srt 1.8 kB
  • 13 - Implementation and Automation of Trading Strategies with Binance/002 Getting started_en.srt 1.7 kB
  • 19 - Backtesting Futures Trading Strategies with Leverage/002 Getting the Data_en.srt 1.7 kB
  • 14 - A Long-Short Trading Strategy A-Z/002 Getting started_en.srt 1.7 kB
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/006 Required Installations and Downloads.html 1.6 kB
  • 06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/003 Major reasons for Coding Errors_en.srt 1.5 kB
  • 14 - A Long-Short Trading Strategy A-Z/009 #Troubleshooting for the next Lecture#.html 1.4 kB
  • 19 - Backtesting Futures Trading Strategies with Leverage/004 Recap Leverage and levered Returns_en.srt 1.3 kB
  • 07 - Trading with Python and the Binance API - an Introduction/006 Troubleshooting (BinanceAPIException Error).html 1.2 kB
  • 07 - Trading with Python and the Binance API - an Introduction/007 Important notice for Binance.US users (Part 1).html 1.0 kB
  • 18 - Futures Trading on Binance A-Z/001 Creating an account on Binance Futures Testnet_en.srt 1.0 kB
  • 07 - Trading with Python and the Binance API - an Introduction/015 Important notice for Binance.US users (Part 2).html 813 Bytes
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/009 #Troubleshooting#.html 811 Bytes
  • 07 - Trading with Python and the Binance API - an Introduction/003 Commands to install required packages.html 763 Bytes
  • 21 - +++ PART 4 API Trading with other Exchanges (FTX, Kraken & co.) +++/001 Overview.html 709 Bytes
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/034 Label-based Indexing Cheat Sheets.html 701 Bytes
  • 23 - API Trading with FTX/002 How to get a 5% Discount on Trading Commissions (FTX.com).html 617 Bytes
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/025 Coding Challenge #5.html 569 Bytes
  • 04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/002 How to get a 10% Discount on Trading Commissions.html 487 Bytes
  • 12 - Strategy Optimization and Forward Testing/001 Introduction.html 445 Bytes
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/035 Coding Challenge #7.html 444 Bytes
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/031 Position-based Indexing Cheat Sheets.html 440 Bytes
  • 13 - Implementation and Automation of Trading Strategies with Binance/001 Introduction.html 429 Bytes
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/010 Coding Challenge #2.html 425 Bytes
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/019 Coding Challenge #4.html 387 Bytes
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/030 Coding Challenge #6.html 365 Bytes
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/013 Coding Challenge #3.html 357 Bytes
  • 13 - Implementation and Automation of Trading Strategies with Binance/003 Important notice for Binance.US users.html 356 Bytes
  • 02 - +++ PART 1 Fundamentals of Trading, Binance and Python for Finance +++/002 Downloads for PART 1.html 332 Bytes
  • 18 - Futures Trading on Binance A-Z/external-assets-links.txt 270 Bytes
  • 08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/005 [Article] Loading Data into Pandas - advanced topics.html 192 Bytes
  • 07 - Trading with Python and the Binance API - an Introduction/How you can help GetFreeCourses.Co.txt 182 Bytes
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  • 19 - Backtesting Futures Trading Strategies with Leverage/How you can help GetFreeCourses.Co.txt 182 Bytes
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/How you can help GetFreeCourses.Co.txt 182 Bytes
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/025 Coding Exercise 9.html 157 Bytes
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/036 Coding Exercise 10.html 157 Bytes
  • 25 - Appendix 1 Python (& Finance) Basics/052 Coding Exercise 5.html 156 Bytes
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/013 Coding Exercise 7.html 156 Bytes
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/020 Coding Exercise 8.html 156 Bytes
  • 26 - Appendix 2 User-defined Functions/009 Coding Exercise 6.html 154 Bytes
  • 24 - +++ APPENDIX Python Crash Course +++/002 Appendix Downloads.html 124 Bytes
  • 09 - +++ PART 2 Algorithmic Trading Spot Trading +++/002 Downloads for PART 2.html 118 Bytes
  • 07 - Trading with Python and the Binance API - an Introduction/GetFreeCourses.Co.url 116 Bytes
  • 15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/GetFreeCourses.Co.url 116 Bytes
  • 19 - Backtesting Futures Trading Strategies with Leverage/GetFreeCourses.Co.url 116 Bytes
  • 27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/GetFreeCourses.Co.url 116 Bytes
  • 25 - Appendix 1 Python (& Finance) Basics/033 Slicing Cheat Sheet.html 108 Bytes
  • 16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/002 Solution (Notebook).html 79 Bytes
  • 17 - +++ PART 3 Algorithmic Trading Futures Trading +++/002 Downloads for Part 3 (Updated 28122021).html 64 Bytes
  • 21 - +++ PART 4 API Trading with other Exchanges (FTX, Kraken & co.) +++/002 Downloads for Part 4 (Updated 17 Jan 2022).html 64 Bytes

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