magnet:?xt=urn:btih:3CFA3D89BAA3EE08E9469FB8DD776423D34BACDC
03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/001 Investing vs. (Algorithmic) Trading.mp4 131.7 MB07 - Trading with Python and the Binance API - an Introduction/012 How to load Historical Price & Volume Data (Part 2).mp4 88.2 MB20 - Implementing and automating Futures Trading on Binance/002 The Binance Futures API.mp4 87.1 MB18 - Futures Trading on Binance A-Z/003 The first Futures Trade (Long).mp4 85.3 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/007 The first Spot Trade (buy Bitcoin).mp4 82.1 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/001 Binance.com and Binance.US at a first glance.mp4 81.5 MB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/002 Asset Classes, Money and (Crypto-) Currencies.mp4 81.2 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/012 Inheritance.mp4 79.9 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/004 Initial Inspection and Visualization.mp4 78.1 MB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/008 Spot Trading vs. Derivatives (Futures) Trading (Part 2).mp4 76.0 MB13 - Implementation and Automation of Trading Strategies with Binance/010 Trade Monitoring and Reporting.mp4 75.2 MB22 - API Trading with CCXT/006 Loading Historical Data (Part 1).mp4 74.3 MB18 - Futures Trading on Binance A-Z/009 Margin Requirements and Liquidation (Part 2).mp4 73.1 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/003 Loading Financial Data from the Web.mp4 72.7 MB07 - Trading with Python and the Binance API - an Introduction/022 Placing a Market Buy Order.mp4 71.8 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/011 How to traceback more complex Errors.mp4 71.5 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/033 Slicing Rows and Columns with loc (label-based indexing).mp4 70.6 MB22 - API Trading with CCXT/017 A CCXT Spot Trading Bot.mp4 70.0 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/055 Customization of Plots.mp4 69.0 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/021 (Non-) Normality of Financial Returns.mp4 68.8 MB18 - Futures Trading on Binance A-Z/008 Margin Requirements and Liquidation (Part 1).mp4 67.7 MB18 - Futures Trading on Binance A-Z/014 Position Mode One-way (Netting) vs. Hedging.mp4 65.9 MB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/005 Why using Binance.mp4 65.8 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/029 Selecting Rows with iloc (position-based indexing).mp4 64.3 MB12 - Strategy Optimization and Forward Testing/005 Putting everything together a Backtester Class.mp4 62.6 MB07 - Trading with Python and the Binance API - an Introduction/017 Streaming and collecting real-time Candles.mp4 62.6 MB07 - Trading with Python and the Binance API - an Introduction/008 Retrieving general accountsystem Info (Part 1).mp4 62.2 MB12 - Strategy Optimization and Forward Testing/003 Strategy Optimization (Part 1).mp4 61.8 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/022 Create your very first Pandas DataFrame (from csv).mp4 61.6 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/043 Changing Row Index with set_index() and reset_index().mp4 61.6 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/017 Introduction to Charting and Technical Indicators.mp4 61.4 MB19 - Backtesting Futures Trading Strategies with Leverage/007 How to adjust the Framework to (levered) Futures Trading.mp4 60.9 MB19 - Backtesting Futures Trading Strategies with Leverage/005 Levered Returns a more realistic approach.mp4 60.7 MB20 - Implementing and automating Futures Trading on Binance/004 Placing Market Orders (Part 1).mp4 60.6 MB17 - +++ PART 3 Algorithmic Trading Futures Trading +++/001 Overview.mp4 59.4 MB23 - API Trading with FTX/007 Futures Trading on FTX.mp4 59.1 MB22 - API Trading with CCXT/016 Creating Orders and analyzing Trades (Futures).mp4 58.7 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/060 Categorical Seaborn Plots.mp4 58.4 MB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/004 How to create an EC2 Instance.mp4 58.3 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/014 Discrete Compounding.mp4 57.8 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/001 Introduction to OOP and examples for Classes.mp4 57.6 MB07 - Trading with Python and the Binance API - an Introduction/010 Getting (current) Market Data.mp4 57.5 MB11 - A Long-only Strategy based on Price & Volume Data/003 Explanatory Data Analysis Financial Returns and Trading Volume (Part 1).mp4 57.1 MB13 - Implementation and Automation of Trading Strategies with Binance/009 Placing Orders and Executing Trades.mp4 56.0 MB18 - Futures Trading on Binance A-Z/013 Margin Mode Cross vs. Isolated.mp4 55.4 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/054 Visualization with Matplotlib (Intro).mp4 54.2 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/008 Trade Analysis and Trading FeesCommissions.mp4 54.1 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/061 Seaborn Regression Plots.mp4 54.0 MB07 - Trading with Python and the Binance API - an Introduction/014 Streaming real-time Market Data (Part 1).mp4 53.5 MB07 - Trading with Python and the Binance API - an Introduction/011 How to load Historical Price & Volume Data (Part 1).mp4 53.0 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/020 Comparing the Performance of Financial Instruments.mp4 53.0 MB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/007 Spot Trading vs. Derivatives (Futures) Trading (Part 1).mp4 52.7 MB13 - Implementation and Automation of Trading Strategies with Binance/008 Adding a Long-Only Trading Strategy.mp4 51.6 MB14 - A Long-Short Trading Strategy A-Z/007 A Long-Short Trading Framework.mp4 50.3 MB14 - A Long-Short Trading Strategy A-Z/010 Preview Running a Python Trader Script.mp4 49.9 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/034 Margin Trading and Levered Returns (Part 2).mp4 48.6 MB11 - A Long-only Strategy based on Price & Volume Data/007 Trading Costs.mp4 48.6 MB01 - Getting Started/006 Course Overview.mp4 48.5 MB05 - Installing Python and Jupyter Notebooks/002 Download and Install Anaconda.mp4 48.1 MB22 - API Trading with CCXT/003 First Steps with CCXT.mp4 47.9 MB05 - Installing Python and Jupyter Notebooks/003 How to open Jupyter Notebooks.mp4 46.5 MB20 - Implementing and automating Futures Trading on Binance/003 How to change Settings and Modes.mp4 46.2 MB22 - API Trading with CCXT/001 Introduction.mp4 46.1 MB18 - Futures Trading on Binance A-Z/015 How to work with many open positions.mp4 46.0 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/024 First Data Inspection.mp4 45.7 MB10 - What is a Trading Strategy/001 Trading Strategies - Overview.mp4 45.7 MB25 - Appendix 1 Python (& Finance) Basics/039 Coding Exercise 3.mp4 45.1 MB10 - What is a Trading Strategy/004 How to create your own Trading Strategies.mp4 45.0 MB23 - API Trading with FTX/008 An FTX Futures Trading Bot.mp4 44.5 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/049 Advanced Filtering with between(), isin() and ~.mp4 43.9 MB05 - Installing Python and Jupyter Notebooks/004 How to work with Jupyter Notebooks.mp4 43.6 MB07 - Trading with Python and the Binance API - an Introduction/009 Retrieving general accountsystem Info (Part 2).mp4 43.3 MB18 - Futures Trading on Binance A-Z/004 Trade Analysis.mp4 43.2 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/013 Inheritance and the super() Function.mp4 43.2 MB11 - A Long-only Strategy based on Price & Volume Data/006 Strategy Backtesting.mp4 43.2 MB19 - Backtesting Futures Trading Strategies with Leverage/001 Introduction.mp4 42.8 MB16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/001 Introduction.mp4 41.9 MB07 - Trading with Python and the Binance API - an Introduction/021 Spot Testnet API - Overview.mp4 41.9 MB20 - Implementing and automating Futures Trading on Binance/009 A Futures Trading Bot (Part 1).mp4 41.9 MB07 - Trading with Python and the Binance API - an Introduction/024 Placing Limit Orders.mp4 41.3 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/014 Adding meaningful Docstrings.mp4 41.1 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/031 Covariance and Correlation.mp4 40.1 MB20 - Implementing and automating Futures Trading on Binance/005 Trade Analysis - Trade and Income History.mp4 40.0 MB22 - API Trading with CCXT/019 A CCXT Futures Trading Bot.mp4 39.8 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/005 Omitting cells, changing the sequence and more.mp4 39.4 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/007 Coding Challenge #1.mp4 39.3 MB25 - Appendix 1 Python (& Finance) Basics/012 Coding Exercise 1.mp4 39.2 MB23 - API Trading with FTX/005 What you should consider for Backtesting.mp4 39.1 MB07 - Trading with Python and the Binance API - an Introduction/013 Excursus Loading Historical Data (csv) from the Website.mp4 38.9 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/027 Introduction to Currencies (Forex) and Trading.mp4 38.8 MB25 - Appendix 1 Python (& Finance) Basics/047 Coding Exercise 4.mp4 38.5 MB16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/004 The Solution explained (Part 2).mp4 38.3 MB19 - Backtesting Futures Trading Strategies with Leverage/003 Backtesting without Leverage and Trading Costs in the Futures Market.mp4 38.2 MB28 - Appendix 4 Advanced Pandas Time Series Topics/002 Filling NA Values with bfill, ffill and interpolation.mp4 37.9 MB14 - A Long-Short Trading Strategy A-Z/005 A Long-Short Backtesting Framework.mp4 37.9 MB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/003 What is a Stable Coin.mp4 37.6 MB01 - Getting Started/003 How to get the best out of this course.mp4 37.5 MB01 - Getting Started/001 Welcome and Introduction.mp4 36.6 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/006 Normalizing Time Series to a Base Value (100).mp4 36.4 MB18 - Futures Trading on Binance A-Z/012 Stop Loss (SL) and Take Profit (TP) Orders.mp4 36.3 MB22 - API Trading with CCXT/005 The Public API.mp4 36.2 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/011 Investment Multiple and CAGR.mp4 36.1 MB14 - A Long-Short Trading Strategy A-Z/001 Introduction.mp4 36.0 MB20 - Implementing and automating Futures Trading on Binance/010 A Futures Trading Bot (Part 2).mp4 35.9 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/051 Handling NA Values missing Values.mp4 35.8 MB14 - A Long-Short Trading Strategy A-Z/008 Implementing and Automating a Long-Short Trading Strategy.mp4 35.6 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/024 Rolling Statistics.mp4 35.6 MB01 - Getting Started/002 Did you know... (a Sneak Preview on Crypto Trading).mp4 34.7 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/010 Getting help on StackOverflow.com.mp4 34.5 MB13 - Implementation and Automation of Trading Strategies with Binance/011 How to setautomate the stop of a Trading Session.mp4 34.4 MB25 - Appendix 1 Python (& Finance) Basics/042 Intro to Strings.mp4 34.3 MB20 - Implementing and automating Futures Trading on Binance/007 Getting Historical Futures Market Data.mp4 34.1 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/010 Limit Orders vs. Market Orders.mp4 34.1 MB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/004 Why Trading Cryptocurrencies.mp4 34.0 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/008 Price changes and Financial Returns.mp4 34.0 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/002 Test your debugging skills!.mp4 33.9 MB13 - Implementation and Automation of Trading Strategies with Binance/005 Creating the LongOnlyTrader Class.mp4 33.6 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/066 Splitting with many Keys.mp4 33.5 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/067 split-apply-combine.mp4 33.5 MB23 - API Trading with FTX/004 FTX and CCXT - an Overview.mp4 33.2 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/004 The most commonly made Errors at a glance.mp4 32.7 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/035 Summary, Best Practices and Outlook.mp4 32.5 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/015 Continuous Compounding.mp4 32.2 MB18 - Futures Trading on Binance A-Z/007 A Short Trade.mp4 31.9 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/012 Stop-Loss Orders.mp4 31.7 MB23 - API Trading with FTX/006 An FTX Spot Trading Bot.mp4 31.7 MB11 - A Long-only Strategy based on Price & Volume Data/004 Explanatory Data Analysis Financial Returns and Trading Volume (Part 2).mp4 31.5 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/023 Pandas Display Options and the methods head() & tail().mp4 31.4 MB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/006 Alternative Exchanges (FTX, Kraken, etc.).mp4 31.4 MB22 - API Trading with CCXT/012 Getting Historical Data and Streaming live Data.mp4 30.8 MB26 - Appendix 2 User-defined Functions/002 What´s the difference between Positional Arguments vs. Keyword Arguments.mp4 30.7 MB18 - Futures Trading on Binance A-Z/005 A trade with Leverage.mp4 30.3 MB28 - Appendix 4 Advanced Pandas Time Series Topics/001 Helpful DatetimeIndex Attributes and Methods.mp4 29.9 MB11 - A Long-only Strategy based on Price & Volume Data/005 Formulating a Long-only Strategy based on Price & Volume Data.mp4 29.8 MB11 - A Long-only Strategy based on Price & Volume Data/002 Data Preparation.mp4 29.6 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/012 Creating Numpy Arrays from Scratch.mp4 29.5 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/023 Resampling Smoothing of Financial Data.mp4 29.2 MB22 - API Trading with CCXT/015 Creating Orders and analyzing Trades (Spot).mp4 28.9 MB14 - A Long-Short Trading Strategy A-Z/006 Strategy Backtesting.mp4 28.6 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/042 First Steps with Pandas Index Objects.mp4 28.5 MB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/005 How to connect to your EC2 Instance.mp4 27.8 MB13 - Implementation and Automation of Trading Strategies with Binance/006 Working with historical data and real-time data (Part 1).mp4 27.8 MB28 - Appendix 4 Advanced Pandas Time Series Topics/004 Timezones and Converting (Part 2).mp4 27.8 MB18 - Futures Trading on Binance A-Z/016 Introduction to the Funding Rate.mp4 27.5 MB12 - Strategy Optimization and Forward Testing/006 Backtesting & Forward Testing (Part 1).mp4 27.0 MB07 - Trading with Python and the Binance API - an Introduction/026 How to create & run a first (simple) Trading Bot.mp4 26.8 MB12 - Strategy Optimization and Forward Testing/011 The Backtester Class explained (Part 4).mp4 26.1 MB13 - Implementation and Automation of Trading Strategies with Binance/004 Recap Streaming and Collecting Real-Time Candles.mp4 25.9 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/004 The special method __init__().mp4 25.8 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/005 The method get_data().mp4 25.7 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/006 IndexErrors.mp4 25.7 MB20 - Implementing and automating Futures Trading on Binance/008 Streaming Future Prices in real-time.mp4 25.5 MB25 - Appendix 1 Python (& Finance) Basics/022 Coding Exercise 2.mp4 25.2 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/050 Intro to NA Values missing Values.mp4 25.2 MB22 - API Trading with CCXT/018 Excursus Generalization.mp4 25.1 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/013 The Order Book.mp4 25.1 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/046 Filtering DataFrames (one Condition).mp4 25.0 MB10 - What is a Trading Strategy/003 Trading Strategies for Cryptocurrencies (best practices).mp4 25.0 MB25 - Appendix 1 Python (& Finance) Basics/036 Adding and removing Elements fromto Lists.mp4 24.8 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/001 Introduction and Overview.mp4 24.5 MB07 - Trading with Python and the Binance API - an Introduction/005 Connecting to the APIServer.mp4 24.2 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/016 How to slice 2-dim Numpy Arrays (Part 1).mp4 23.9 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/012 Compound Returns & Geometric Mean Return.mp4 23.9 MB23 - API Trading with FTX/001 Introduction.mp4 23.9 MB10 - What is a Trading Strategy/006 Getting the Data.mp4 23.8 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/053 Summary Statistics and Accumulations.mp4 23.7 MB26 - Appendix 2 User-defined Functions/008 Scope - easily explained.mp4 23.7 MB07 - Trading with Python and the Binance API - an Introduction/025 Reporting Getting all (historical) Orders and Trades.mp4 23.5 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/014 Bid-Ask-Spread and Slippage.mp4 23.4 MB26 - Appendix 2 User-defined Functions/001 Defining your first user-defined Function.mp4 23.3 MB25 - Appendix 1 Python (& Finance) Basics/048 Conditional Statements.mp4 23.3 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/016 Liquidity and Market Depth.mp4 23.1 MB18 - Futures Trading on Binance A-Z/002 First Steps.mp4 23.1 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/029 Short Selling and Short Position Returns (Part 3).mp4 22.9 MB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/011 How to schedule Trading sessions with the Task Scheduler.mp4 22.6 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/002 Numpy Arrays.mp4 22.4 MB22 - API Trading with CCXT/004 General Exchange Information.mp4 22.3 MB26 - Appendix 2 User-defined Functions/006 Sequences as arguments and args.mp4 22.3 MB14 - A Long-Short Trading Strategy A-Z/004 Defining the Long-Short Strategy.mp4 22.2 MB18 - Futures Trading on Binance A-Z/020 The Funding Rate live in action.mp4 22.2 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/045 Renaming Index & Column Labels with rename().mp4 22.1 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/011 Adding more methods and performance metrics.mp4 22.0 MB25 - Appendix 1 Python (& Finance) Basics/046 Comparison, Logical and Membership Operators in Action.mp4 22.0 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/026 Selecting Columns.mp4 21.8 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/001 Modules, Packages and Libraries - No need to reinvent the Wheel.mp4 21.8 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/017 Simple Returns vs Log Returns ( Part 1).mp4 21.7 MB19 - Backtesting Futures Trading Strategies with Leverage/006 The Futures Backtesting Class live in action.mp4 21.6 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/032 Selecting Rows with loc (label-based indexing).mp4 21.2 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/016 Coding Exercise Create your own Class.mp4 21.1 MB25 - Appendix 1 Python (& Finance) Basics/051 Introduction to while loops.mp4 21.0 MB16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/003 The Solution explained (Part 1).mp4 21.0 MB12 - Strategy Optimization and Forward Testing/007 Backtesting & Forward Testing (Part 2).mp4 20.9 MB25 - Appendix 1 Python (& Finance) Basics/049 Keywords pass, continue and break.mp4 20.9 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/065 Understanding the GroupBy Object.mp4 20.8 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/062 Seaborn Heatmaps.mp4 20.8 MB23 - API Trading with FTX/003 Creating accounts on FTX.com and FTX.us.mp4 20.5 MB22 - API Trading with CCXT/007 Loading Historical Data (Part 2).mp4 20.4 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/010 The method set_ticker().mp4 20.3 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/005 Changing Elements in Numpy Arrays & Mutability.mp4 20.3 MB25 - Appendix 1 Python (& Finance) Basics/037 Mutable vs. immutable Objects (Part 1).mp4 20.2 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/018 Simple Returns vs Log Returns ( Part 2).mp4 20.2 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/009 Encapsulation and protected Attributes.mp4 20.2 MB18 - Futures Trading on Binance A-Z/006 The impact of Leverage.mp4 20.0 MB22 - API Trading with CCXT/013 The Private API.mp4 19.9 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/009 Reward and Risk of Financial Instruments.mp4 19.7 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/010 Advanced Filtering & Bitwise Operators.mp4 19.4 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/005 Deposits and Withdrawals (Part 1).mp4 19.4 MB19 - Backtesting Futures Trading Strategies with Leverage/008 The impact of Leverage on Trading Performance.mp4 19.3 MB26 - Appendix 2 User-defined Functions/003 How to work with Default Arguments.mp4 19.3 MB26 - Appendix 2 User-defined Functions/004 The Default Argument None.mp4 19.1 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/063 Removing Columns.mp4 19.1 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/012 Problems with the Python Installation.mp4 19.0 MB25 - Appendix 1 Python (& Finance) Basics/041 Dictionaries.mp4 18.8 MB16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/005 The Solution explained (Part 3).mp4 18.7 MB25 - Appendix 1 Python (& Finance) Basics/019 Calculate FV and PV for many Cashflows.mp4 18.7 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/058 Scatterplots.mp4 18.3 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/041 Sorting of Series and Introduction to the inplace - parameter.mp4 18.1 MB22 - API Trading with CCXT/008 Streaming real-time Data (Part 1).mp4 18.1 MB25 - Appendix 1 Python (& Finance) Basics/017 For Loops - Iterating over Lists.mp4 18.0 MB20 - Implementing and automating Futures Trading on Binance/001 Introduction and Preparations.mp4 18.0 MB25 - Appendix 1 Python (& Finance) Basics/040 Tuples.mp4 17.8 MB28 - Appendix 4 Advanced Pandas Time Series Topics/003 Timezones and Converting (Part 1).mp4 17.6 MB18 - Futures Trading on Binance A-Z/011 How to add Stop Loss to an open position.mp4 17.3 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/028 Short Selling and Short Position Returns (Part 2).mp4 17.2 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/015 Total Costs of a Trade (visible vs. hidden Costs).mp4 17.0 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/040 The copy() method.mp4 16.7 MB18 - Futures Trading on Binance A-Z/010 Excursus The Futures Calculator.mp4 16.7 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/009 Another Spot Trade (sell Bitcoin).mp4 16.3 MB25 - Appendix 1 Python (& Finance) Basics/020 The Net Present Value - NPV (Theory).mp4 16.1 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/057 Histogramms (Part 2).mp4 16.1 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/022 Annualizing Return and Risk.mp4 16.0 MB07 - Trading with Python and the Binance API - an Introduction/002 Getting the API Key & other Preparations.mp4 16.0 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/019 How to perform row-wise and column-wise Operations.mp4 15.8 MB12 - Strategy Optimization and Forward Testing/008 The Backtester Class explained (Part 1).mp4 15.8 MB13 - Implementation and Automation of Trading Strategies with Binance/007 Working with historical data and real-time data (Part 2).mp4 15.5 MB20 - Implementing and automating Futures Trading on Binance/006 Placing Market Orders (Part 2).mp4 15.3 MB25 - Appendix 1 Python (& Finance) Basics/026 Build-in Functions.mp4 15.3 MB25 - Appendix 1 Python (& Finance) Basics/023 Data Types in Action.mp4 15.3 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/032 Portfolios and Portfolio Returns.mp4 15.3 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/037 First Steps with Pandas Series.mp4 15.2 MB07 - Trading with Python and the Binance API - an Introduction/001 Overview.mp4 14.9 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/002 The Financial Analysis Class live in action (Part 1).mp4 14.9 MB11 - A Long-only Strategy based on Price & Volume Data/001 Introduction.mp4 14.6 MB10 - What is a Trading Strategy/009 Performance Measurement.mp4 14.5 MB12 - Strategy Optimization and Forward Testing/009 The Backtester Class explained (Part 2).mp4 14.3 MB25 - Appendix 1 Python (& Finance) Basics/030 More on Lists.mp4 14.1 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/011 Determining a Project´s Payback Period with np.where().mp4 14.1 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/004 How to instantly buy your first Cryptos.mp4 14.1 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/007 String representation and the special method __repr__().mp4 14.1 MB18 - Futures Trading on Binance A-Z/018 The Funding Rate explained (Part 2).mp4 14.1 MB10 - What is a Trading Strategy/007 Financial Data Analysis Visual Inspection.mp4 14.1 MB18 - Futures Trading on Binance A-Z/017 The Funding Rate explained (Part 1).mp4 14.1 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/008 The methods plot_prices() and plot_returns().mp4 14.0 MB12 - Strategy Optimization and Forward Testing/010 The Backtester Class explained (Part 3).mp4 13.9 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/030 Slicing Rows and Columns with iloc (position-based indexing).mp4 13.9 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/048 Filtering DataFrames by many Conditions (OR).mp4 13.7 MB22 - API Trading with CCXT/011 Streaming real-time Data (Part 3).mp4 13.7 MB25 - Appendix 1 Python (& Finance) Basics/038 Mutable vs. immutable Objects (Part 2).mp4 13.7 MB10 - What is a Trading Strategy/008 A simple Buy and Hold Strategy.mp4 13.6 MB25 - Appendix 1 Python (& Finance) Basics/009 More on Variables and Memory.mp4 13.4 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/033 Margin Trading and Levered Returns (Part 1).mp4 13.3 MB25 - Appendix 1 Python (& Finance) Basics/028 Floats.mp4 13.2 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/011 Take-Profit Orders.mp4 13.2 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/003 Registration and Identity Verification.mp4 13.1 MB26 - Appendix 2 User-defined Functions/005 How to unpack Iterables.mp4 13.1 MB07 - Trading with Python and the Binance API - an Introduction/023 Placing a Market Sell Order.mp4 13.1 MB25 - Appendix 1 Python (& Finance) Basics/050 Calculate a Project´s Payback Period.mp4 13.0 MB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/006 Deposits and Withdrawals (Part 2).mp4 13.0 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/003 The Financial Analysis Class live in action (Part 2).mp4 12.8 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/015 Summary and Debugging Flow-Chart.mp4 12.8 MB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/010 How to start Trading sessions with Batch (.bat) Files.mp4 12.8 MB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/008 How to run Python Scripts in a Windows Command Prompt.mp4 12.7 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/004 Vectorized Operations with Numpy Arrays.mp4 12.7 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/059 First Steps with Seaborn.mp4 12.7 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/009 TypeErrors and ValueErrors.mp4 11.9 MB22 - API Trading with CCXT/009 Introduction to Multithreaded Programming.mp4 11.9 MB07 - Trading with Python and the Binance API - an Introduction/020 Creating a Connection to the Spot Testnet.mp4 11.8 MB25 - Appendix 1 Python (& Finance) Basics/006 Introduction to Variables.mp4 11.6 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/056 Histogramms (Part 1).mp4 11.5 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/015 Creating and Importing Python Modules (.py).mp4 11.5 MB07 - Trading with Python and the Binance API - an Introduction/019 The Binance Spot Test Network.mp4 11.5 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/018 Recap Changing Elements in a Numpy Array slice.mp4 11.4 MB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/006 The method log_returns().mp4 11.4 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/007 Numpy Array Methods and Attributes.mp4 11.4 MB09 - +++ PART 2 Algorithmic Trading Spot Trading +++/001 Overview.mp4 11.3 MB25 - Appendix 1 Python (& Finance) Basics/029 How to round Floats (and Integers) with round().mp4 11.3 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/006 View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4 11.2 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/015 2-dimensional Numpy Arrays.mp4 11.2 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/021 Intro to Tabular Data Pandas.mp4 11.1 MB07 - Trading with Python and the Binance API - an Introduction/018 Placing a Test Order.mp4 11.1 MB18 - Futures Trading on Binance A-Z/019 The Funding Rate explained (Part 3).mp4 11.0 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/044 Changing Column Labels.mp4 11.0 MB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/007 Getting the Instance Ready for Algorithmic Trading.mp4 10.8 MB25 - Appendix 1 Python (& Finance) Basics/031 Lists and Element-wise Operations.mp4 10.8 MB22 - API Trading with CCXT/002 Preparations.mp4 10.7 MB14 - A Long-Short Trading Strategy A-Z/002 Getting started.mp4 10.7 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/047 Filtering DataFrames by many Conditions (AND).mp4 10.6 MB25 - Appendix 1 Python (& Finance) Basics/003 Calculate Present Values (FV) with Python Discounting.mp4 10.5 MB22 - API Trading with CCXT/010 Streaming real-time Data (Part 2).mp4 10.4 MB25 - Appendix 1 Python (& Finance) Basics/010 Variables - Dos, Don´ts and Conventions.mp4 10.2 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/009 Boolean Arrays and Conditional Filtering.mp4 10.1 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/014 How to work with nested Lists.mp4 9.9 MB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/001 Introduction and Motivation.mp4 9.9 MB25 - Appendix 1 Python (& Finance) Basics/018 The range Object - another Iterable.mp4 9.9 MB12 - Strategy Optimization and Forward Testing/004 Strategy Optimization (Part 2).mp4 9.9 MB22 - API Trading with CCXT/014 How to connect to Testnets (Sandbox mode).mp4 9.8 MB25 - Appendix 1 Python (& Finance) Basics/043 String Replacement.mp4 9.7 MB25 - Appendix 1 Python (& Finance) Basics/032 Slicing Lists.mp4 9.7 MB25 - Appendix 1 Python (& Finance) Basics/011 The print() Function.mp4 9.5 MB25 - Appendix 1 Python (& Finance) Basics/005 Calculate Interest Rates and Returns with Python.mp4 9.4 MB07 - Trading with Python and the Binance API - an Introduction/016 Streaming real-time Market Data (Part 2).mp4 9.4 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/008 Numpy Universal Functions.mp4 9.4 MB25 - Appendix 1 Python (& Finance) Basics/001 Intro to the Time Value of Money (TVM) Concept (Theory).mp4 8.9 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/026 Short Selling and Short Position Returns (Part 1).mp4 8.7 MB12 - Strategy Optimization and Forward Testing/002 Getting started.mp4 8.5 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/013 External Factors and Issues.mp4 8.4 MB02 - +++ PART 1 Fundamentals of Trading, Binance and Python for Finance +++/001 PART 1 Overview.mp4 8.4 MB25 - Appendix 1 Python (& Finance) Basics/021 Calculate an Investment Project´s NPV.mp4 8.4 MB25 - Appendix 1 Python (& Finance) Basics/016 Indexing Lists.mp4 8.4 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/008 Misuse of function names and keywords.mp4 7.8 MB25 - Appendix 1 Python (& Finance) Basics/035 Sorting and Reversing Lists.mp4 7.6 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/014 Errors related to the course content (Transcription Errors).mp4 7.6 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/001 Introduction.mp4 7.4 MB25 - Appendix 1 Python (& Finance) Basics/002 Calculate Future Values (FV) with Python Compounding.mp4 7.4 MB25 - Appendix 1 Python (& Finance) Basics/004 Interest Rates and Returns (Theory).mp4 7.4 MB25 - Appendix 1 Python (& Finance) Basics/034 Changing Elements in Lists.mp4 7.3 MB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/007 Indentation Errors.mp4 7.1 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/003 Indexing and Slicing Numpy Arrays.mp4 6.9 MB25 - Appendix 1 Python (& Finance) Basics/045 Operators (Theory).mp4 6.5 MB24 - +++ APPENDIX Python Crash Course +++/001 Introduction and Overview.mp4 6.4 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/028 Zero-based Indexing and Negative Indexing.mp4 6.4 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/052 Exporting DataFrames to csv.mp4 6.4 MB25 - Appendix 1 Python (& Finance) Basics/027 Integers.mp4 6.3 MB26 - Appendix 2 User-defined Functions/007 How to return many results.mp4 6.2 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/016 Log Returns.mp4 6.2 MB25 - Appendix 1 Python (& Finance) Basics/013 TVM Problems with many Cashflows.mp4 6.2 MB25 - Appendix 1 Python (& Finance) Basics/007 Excursus How to add inline comments.mp4 6.1 MB14 - A Long-Short Trading Strategy A-Z/003 Recap Explanatory Data Analysis and generating a Trading Idea.mp4 6.0 MB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/002 Installing and importing required LibrariesPackages.mp4 5.8 MB07 - Trading with Python and the Binance API - an Introduction/004 How to install the Binance API Wrapper.mp4 5.7 MB25 - Appendix 1 Python (& Finance) Basics/024 The Data Type Hierarchy (Theory).mp4 5.5 MB25 - Appendix 1 Python (& Finance) Basics/044 Booleans.mp4 5.4 MB19 - Backtesting Futures Trading Strategies with Leverage/002 Getting the Data.mp4 5.2 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/017 How to slice 2-dim Numpy Arrays (Part 2).mp4 4.8 MB05 - Installing Python and Jupyter Notebooks/005 Tips for Python Beginners.mp4 4.7 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/027 Selecting one Column with the dot notation.mp4 4.6 MB05 - Installing Python and Jupyter Notebooks/001 Introduction.mp4 4.4 MB25 - Appendix 1 Python (& Finance) Basics/014 Intro to Python Lists.mp4 4.4 MB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/064 Introduction to GroupBy Operations.mp4 4.2 MB13 - Implementation and Automation of Trading Strategies with Binance/002 Getting started.mp4 4.2 MB25 - Appendix 1 Python (& Finance) Basics/015 Zero-based Indexing and negative Indexing in Python (Theory).mp4 4.0 MB18 - Futures Trading on Binance A-Z/001 Creating an account on Binance Futures Testnet.mp4 3.3 MB25 - Appendix 1 Python (& Finance) Basics/025 Excursus Dynamic Typing in Python.mp4 3.1 MB25 - Appendix 1 Python (& Finance) Basics/008 Variables and Memory (Theory).mp4 2.9 MB19 - Backtesting Futures Trading Strategies with Leverage/004 Recap Leverage and levered Returns.mp4 2.9 MB06 - 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 MB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/001 Trading-vs-Investing.pdf 859.3 kB09 - +++ PART 2 Algorithmic Trading Spot Trading +++/002 Part2-Materials.zip 849.4 kB17 - +++ PART 3 Algorithmic Trading Futures Trading +++/002 Part3-Materials.zip 837.8 kB16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/002 Homework-Challenge.zip 832.7 kB02 - +++ 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 kB25 - Appendix 1 Python (& Finance) Basics/033 Slicing-cheatsheet.pdf 107.8 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/008 trade-analysis.xlsx 91.2 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/031 pandas-iloc.pdf 73.7 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/034 Pandas-loc.pdf 69.4 kB05 - Installing Python and Jupyter Notebooks/004 How to work with Jupyter Notebooks_en.srt 17.8 kB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/001 Investing vs. (Algorithmic) Trading_en.srt 17.8 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/060 Categorical Seaborn Plots_en.srt 17.6 kB07 - Trading with Python and the Binance API - an Introduction/012 How to load Historical Price & Volume Data (Part 2)_en.srt 15.5 kB21 - +++ PART 4 API Trading with other Exchanges (FTX, Kraken & co.) +++/002 Part4-Materials.zip 15.3 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/055 Customization of Plots_en.srt 14.9 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/024 First Data Inspection_en.srt 14.9 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/021 (Non-) Normality of Financial Returns_en.srt 14.9 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/061 Seaborn Regression Plots_en.srt 14.6 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/004 Initial Inspection and Visualization_en.srt 14.3 kB20 - Implementing and automating Futures Trading on Binance/002 The Binance Futures API_en.srt 14.2 kB04 - 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 kB18 - Futures Trading on Binance A-Z/009 Margin Requirements and Liquidation (Part 2)_en.srt 13.8 kB25 - Appendix 1 Python (& Finance) Basics/039 Coding Exercise 3_en.srt 13.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/051 Handling NA Values missing Values_en.srt 13.6 kB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/002 Asset Classes, Money and (Crypto-) Currencies_en.srt 13.3 kB16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/001 Introduction_en.srt 13.2 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/046 Filtering DataFrames (one Condition)_en.srt 13.2 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/001 Introduction to OOP and examples for Classes_en.srt 13.0 kB13 - Implementation and Automation of Trading Strategies with Binance/010 Trade Monitoring and Reporting_en.srt 12.9 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/003 Loading Financial Data from the Web_en.srt 12.8 kB12 - Strategy Optimization and Forward Testing/005 Putting everything together a Backtester Class_en.srt 12.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/043 Changing Row Index with set_index() and reset_index()_en.srt 12.5 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/007 The first Spot Trade (buy Bitcoin)_en.srt 12.5 kB28 - Appendix 4 Advanced Pandas Time Series Topics/002 Filling NA Values with bfill, ffill and interpolation_en.srt 12.4 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/067 split-apply-combine_en.srt 12.4 kB19 - Backtesting Futures Trading Strategies with Leverage/005 Levered Returns a more realistic approach_en.srt 12.3 kB12 - Strategy Optimization and Forward Testing/003 Strategy Optimization (Part 1)_en.srt 12.3 kB27 - 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 kB25 - Appendix 1 Python (& Finance) Basics/049 Keywords pass, continue and break_en.srt 12.0 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/029 Selecting Rows with iloc (position-based indexing)_en.srt 12.0 kB18 - Futures Trading on Binance A-Z/003 The first Futures Trade (Long)_en.srt 12.0 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/002 Test your debugging skills!_en.srt 11.9 kB25 - Appendix 1 Python (& Finance) Basics/036 Adding and removing Elements fromto Lists_en.srt 11.9 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/033 Slicing Rows and Columns with loc (label-based indexing)_en.srt 11.9 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/011 How to traceback more complex Errors_en.srt 11.8 kB05 - Installing Python and Jupyter Notebooks/003 How to open Jupyter Notebooks_en.srt 11.6 kB25 - Appendix 1 Python (& Finance) Basics/012 Coding Exercise 1_en.srt 11.5 kB07 - Trading with Python and the Binance API - an Introduction/008 Retrieving general accountsystem Info (Part 1)_en.srt 11.5 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/020 Comparing the Performance of Financial Instruments_en.srt 11.4 kB25 - Appendix 1 Python (& Finance) Basics/047 Coding Exercise 4_en.srt 11.4 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/008 Trade Analysis and Trading FeesCommissions_en.srt 11.3 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/050 Intro to NA Values missing Values_en.srt 11.3 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/008 Price changes and Financial Returns_en.srt 11.2 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/054 Visualization with Matplotlib (Intro)_en.srt 11.2 kB25 - Appendix 1 Python (& Finance) Basics/037 Mutable vs. immutable Objects (Part 1)_en.srt 11.1 kB19 - Backtesting Futures Trading Strategies with Leverage/007 How to adjust the Framework to (levered) Futures Trading_en.srt 11.1 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/022 Create your very first Pandas DataFrame (from csv)_en.srt 10.9 kB25 - Appendix 1 Python (& Finance) Basics/048 Conditional Statements_en.srt 10.9 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/024 Rolling Statistics_en.srt 10.8 kB22 - API Trading with CCXT/006 Loading Historical Data (Part 1)_en.srt 10.7 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/034 Margin Trading and Levered Returns (Part 2)_en.srt 10.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/062 Seaborn Heatmaps_en.srt 10.6 kB25 - Appendix 1 Python (& Finance) Basics/042 Intro to Strings_en.srt 10.5 kB07 - Trading with Python and the Binance API - an Introduction/017 Streaming and collecting real-time Candles_en.srt 10.4 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/065 Understanding the GroupBy Object_en.srt 10.4 kB11 - A Long-only Strategy based on Price & Volume Data/003 Explanatory Data Analysis Financial Returns and Trading Volume (Part 1)_en.srt 10.3 kB25 - Appendix 1 Python (& Finance) Basics/022 Coding Exercise 2_en.srt 10.3 kB26 - Appendix 2 User-defined Functions/008 Scope - easily explained_en.srt 10.3 kB25 - Appendix 1 Python (& Finance) Basics/017 For Loops - Iterating over Lists_en.srt 10.2 kB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/005 Why using Binance_en.srt 10.1 kB11 - A Long-only Strategy based on Price & Volume Data/007 Trading Costs_en.srt 10.1 kB25 - Appendix 1 Python (& Finance) Basics/046 Comparison, Logical and Membership Operators in Action_en.srt 10.1 kB22 - API Trading with CCXT/017 A CCXT Spot Trading Bot_en.srt 10.0 kB22 - API Trading with CCXT/019 A CCXT Futures Trading Bot_en.srt 10.0 kB25 - Appendix 1 Python (& Finance) Basics/020 The Net Present Value - NPV (Theory)_en.srt 9.9 kB13 - Implementation and Automation of Trading Strategies with Binance/008 Adding a Long-Only Trading Strategy_en.srt 9.9 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/014 Discrete Compounding_en.srt 9.8 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/012 Inheritance_en.srt 9.7 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/002 Numpy Arrays_en.srt 9.7 kB18 - Futures Trading on Binance A-Z/014 Position Mode One-way (Netting) vs. Hedging_en.srt 9.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/049 Advanced Filtering with between(), isin() and ~_en.srt 9.6 kB11 - A Long-only Strategy based on Price & Volume Data/005 Formulating a Long-only Strategy based on Price & Volume Data_en.srt 9.4 kB23 - API Trading with FTX/007 Futures Trading on FTX_en.srt 9.4 kB05 - Installing Python and Jupyter Notebooks/002 Download and Install Anaconda_en.srt 9.3 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/005 Deposits and Withdrawals (Part 1)_en.srt 9.3 kB25 - Appendix 1 Python (& Finance) Basics/051 Introduction to while loops_en.srt 9.3 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/004 The special method __init__()_en.srt 9.3 kB18 - Futures Trading on Binance A-Z/013 Margin Mode Cross vs. Isolated_en.srt 9.3 kB25 - Appendix 1 Python (& Finance) Basics/019 Calculate FV and PV for many Cashflows_en.srt 9.3 kB18 - Futures Trading on Binance A-Z/008 Margin Requirements and Liquidation (Part 1)_en.srt 9.2 kB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/004 How to create an EC2 Instance_en.srt 9.2 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/023 Resampling Smoothing of Financial Data_en.srt 9.2 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/027 Introduction to Currencies (Forex) and Trading_en.srt 9.1 kB07 - Trading with Python and the Binance API - an Introduction/022 Placing a Market Buy Order_en.srt 9.1 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/031 Covariance and Correlation_en.srt 9.0 kB14 - A Long-Short Trading Strategy A-Z/006 Strategy Backtesting_en.srt 9.0 kB11 - A Long-only Strategy based on Price & Volume Data/006 Strategy Backtesting_en.srt 9.0 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/016 Coding Exercise Create your own Class_en.srt 8.9 kB20 - Implementing and automating Futures Trading on Binance/004 Placing Market Orders (Part 1)_en.srt 8.9 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/015 Summary and Debugging Flow-Chart_en.srt 8.9 kB20 - Implementing and automating Futures Trading on Binance/010 A Futures Trading Bot (Part 2)_en.srt 8.9 kB13 - Implementation and Automation of Trading Strategies with Binance/009 Placing Orders and Executing Trades_en.srt 8.7 kB17 - +++ PART 3 Algorithmic Trading Futures Trading +++/001 Overview_en.srt 8.6 kB25 - Appendix 1 Python (& Finance) Basics/040 Tuples_en.srt 8.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/058 Scatterplots_en.srt 8.6 kB07 - Trading with Python and the Binance API - an Introduction/014 Streaming real-time Market Data (Part 1)_en.srt 8.6 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/014 Bid-Ask-Spread and Slippage_en.srt 8.5 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/066 Splitting with many Keys_en.srt 8.4 kB22 - API Trading with CCXT/012 Getting Historical Data and Streaming live Data_en.srt 8.4 kB07 - Trading with Python and the Binance API - an Introduction/011 How to load Historical Price & Volume Data (Part 1)_en.srt 8.4 kB14 - A Long-Short Trading Strategy A-Z/010 Preview Running a Python Trader Script_en.srt 8.4 kB20 - Implementing and automating Futures Trading on Binance/009 A Futures Trading Bot (Part 1)_en.srt 8.3 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/005 Omitting cells, changing the sequence and more_en.srt 8.3 kB25 - Appendix 1 Python (& Finance) Basics/041 Dictionaries_en.srt 8.3 kB07 - Trading with Python and the Binance API - an Introduction/010 Getting (current) Market Data_en.srt 8.3 kB25 - Appendix 1 Python (& Finance) Basics/009 More on Variables and Memory_en.srt 8.3 kB19 - Backtesting Futures Trading Strategies with Leverage/001 Introduction_en.srt 8.2 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/057 Histogramms (Part 2)_en.srt 8.2 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/011 Investment Multiple and CAGR_en.srt 8.2 kB01 - Getting Started/004 Student FAQ.html 8.2 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/023 Pandas Display Options and the methods head() & tail()_en.srt 8.2 kB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/004 Why Trading Cryptocurrencies_en.srt 8.2 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/035 Summary, Best Practices and Outlook_en.srt 8.2 kB18 - Futures Trading on Binance A-Z/018 The Funding Rate explained (Part 2)_en.srt 8.0 kB26 - Appendix 2 User-defined Functions/004 The Default Argument None_en.srt 8.0 kB22 - API Trading with CCXT/001 Introduction_en.srt 8.0 kB10 - What is a Trading Strategy/004 How to create your own Trading Strategies_en.srt 7.9 kB18 - Futures Trading on Binance A-Z/004 Trade Analysis_en.srt 7.9 kB25 - Appendix 1 Python (& Finance) Basics/026 Build-in Functions_en.srt 7.9 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/012 Stop-Loss Orders_en.srt 7.8 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/014 Adding meaningful Docstrings_en.srt 7.7 kB16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/004 The Solution explained (Part 2)_en.srt 7.7 kB25 - Appendix 1 Python (& Finance) Basics/023 Data Types in Action_en.srt 7.7 kB26 - Appendix 2 User-defined Functions/002 What´s the difference between Positional Arguments vs. Keyword Arguments_en.srt 7.7 kB07 - Trading with Python and the Binance API - an Introduction/024 Placing Limit Orders_en.srt 7.6 kB26 - Appendix 2 User-defined Functions/001 Defining your first user-defined Function_en.srt 7.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/010 Advanced Filtering & Bitwise Operators_en.srt 7.6 kB01 - Getting Started/006 Course Overview_en.srt 7.6 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/012 Problems with the Python Installation_en.srt 7.6 kB13 - Implementation and Automation of Trading Strategies with Binance/006 Working with historical data and real-time data (Part 1)_en.srt 7.6 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/010 Getting help on StackOverflow.com_en.srt 7.6 kB28 - Appendix 4 Advanced Pandas Time Series Topics/001 Helpful DatetimeIndex Attributes and Methods_en.srt 7.6 kB18 - Futures Trading on Binance A-Z/017 The Funding Rate explained (Part 1)_en.srt 7.6 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/013 Inheritance and the super() Function_en.srt 7.5 kB23 - API Trading with FTX/008 An FTX Futures Trading Bot_en.srt 7.5 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/010 Limit Orders vs. Market Orders_en.srt 7.5 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/017 Simple Returns vs Log Returns ( Part 1)_en.srt 7.5 kB25 - Appendix 1 Python (& Finance) Basics/001 Intro to the Time Value of Money (TVM) Concept (Theory)_en.srt 7.4 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/006 Normalizing Time Series to a Base Value (100)_en.srt 7.4 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/003 Registration and Identity Verification_en.srt 7.4 kB22 - API Trading with CCXT/016 Creating Orders and analyzing Trades (Futures)_en.srt 7.4 kB07 - Trading with Python and the Binance API - an Introduction/009 Retrieving general accountsystem Info (Part 2)_en.srt 7.3 kB07 - Trading with Python and the Binance API - an Introduction/021 Spot Testnet API - Overview_en.srt 7.3 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/016 How to slice 2-dim Numpy Arrays (Part 1)_en.srt 7.3 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/018 Simple Returns vs Log Returns ( Part 2)_en.srt 7.2 kB10 - What is a Trading Strategy/001 Trading Strategies - Overview_en.srt 7.2 kB26 - Appendix 2 User-defined Functions/003 How to work with Default Arguments_en.srt 7.2 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/059 First Steps with Seaborn_en.srt 7.1 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/042 First Steps with Pandas Index Objects_en.srt 7.1 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/005 The method get_data()_en.srt 7.1 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/009 Reward and Risk of Financial Instruments_en.srt 7.1 kB25 - Appendix 1 Python (& Finance) Basics/028 Floats_en.srt 7.0 kB01 - Getting Started/003 How to get the best out of this course_en.srt 7.0 kB07 - Trading with Python and the Binance API - an Introduction/026 How to create & run a first (simple) Trading Bot_en.srt 6.9 kB14 - A Long-Short Trading Strategy A-Z/001 Introduction_en.srt 6.9 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/005 Changing Elements in Numpy Arrays & Mutability_en.srt 6.9 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/015 Continuous Compounding_en.srt 6.9 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/004 The most commonly made Errors at a glance_en.srt 6.9 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/011 Adding more methods and performance metrics_en.srt 6.7 kB18 - Futures Trading on Binance A-Z/006 The impact of Leverage_en.srt 6.7 kB25 - Appendix 1 Python (& Finance) Basics/030 More on Lists_en.srt 6.7 kB19 - Backtesting Futures Trading Strategies with Leverage/006 The Futures Backtesting Class live in action_en.srt 6.7 kB22 - API Trading with CCXT/003 First Steps with CCXT_en.srt 6.7 kB10 - What is a Trading Strategy/005 [Article] The Lifecycle of a Trading Strategy.html 6.7 kB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/003 What is a Stable Coin_en.srt 6.6 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/004 How to instantly buy your first Cryptos_en.srt 6.6 kB25 - Appendix 1 Python (& Finance) Basics/029 How to round Floats (and Integers) with round()_en.srt 6.6 kB13 - Implementation and Automation of Trading Strategies with Binance/005 Creating the LongOnlyTrader Class_en.srt 6.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/012 Creating Numpy Arrays from Scratch_en.srt 6.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/026 Selecting Columns_en.srt 6.6 kB25 - Appendix 1 Python (& Finance) Basics/006 Introduction to Variables_en.srt 6.6 kB19 - Backtesting Futures Trading Strategies with Leverage/008 The impact of Leverage on Trading Performance_en.srt 6.6 kB26 - Appendix 2 User-defined Functions/006 Sequences as arguments and args_en.srt 6.5 kB01 - Getting Started/002 Did you know... (a Sneak Preview on Crypto Trading)_en.srt 6.5 kB23 - API Trading with FTX/001 Introduction_en.srt 6.5 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/006 Deposits and Withdrawals (Part 2)_en.srt 6.5 kB14 - A Long-Short Trading Strategy A-Z/007 A Long-Short Trading Framework_en.srt 6.4 kB10 - What is a Trading Strategy/009 Performance Measurement_en.srt 6.4 kB14 - A Long-Short Trading Strategy A-Z/005 A Long-Short Backtesting Framework_en.srt 6.4 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/063 Removing Columns_en.srt 6.3 kB22 - API Trading with CCXT/009 Introduction to Multithreaded Programming_en.srt 6.3 kB14 - A Long-Short Trading Strategy A-Z/004 Defining the Long-Short Strategy_en.srt 6.3 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/008 The methods plot_prices() and plot_returns()_en.srt 6.3 kB22 - API Trading with CCXT/008 Streaming real-time Data (Part 1)_en.srt 6.2 kB19 - Backtesting Futures Trading Strategies with Leverage/003 Backtesting without Leverage and Trading Costs in the Futures Market_en.srt 6.2 kB25 - Appendix 1 Python (& Finance) Basics/038 Mutable vs. immutable Objects (Part 2)_en.srt 6.2 kB25 - Appendix 1 Python (& Finance) Basics/018 The range Object - another Iterable_en.srt 6.2 kB22 - API Trading with CCXT/005 The Public API_en.srt 6.2 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/007 Numpy Array Methods and Attributes_en.srt 6.1 kB22 - API Trading with CCXT/007 Loading Historical Data (Part 2)_en.srt 6.1 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/013 The Order Book_en.srt 6.1 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/011 Determining a Project´s Payback Period with np.where()_en.srt 6.0 kB25 - Appendix 1 Python (& Finance) Basics/004 Interest Rates and Returns (Theory)_en.srt 6.0 kB20 - Implementing and automating Futures Trading on Binance/005 Trade Analysis - Trade and Income History_en.srt 6.0 kB20 - Implementing and automating Futures Trading on Binance/003 How to change Settings and Modes_en.srt 6.0 kB23 - API Trading with FTX/004 FTX and CCXT - an Overview_en.srt 6.0 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/007 Coding Challenge #1_en.srt 6.0 kB07 - Trading with Python and the Binance API - an Introduction/013 Excursus Loading Historical Data (csv) from the Website_en.srt 5.9 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/022 Annualizing Return and Risk_en.srt 5.9 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/009 Boolean Arrays and Conditional Filtering_en.srt 5.9 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/006 View vs. copy - potential Pitfalls when slicing Numpy Arrays_en.srt 5.9 kB28 - Appendix 4 Advanced Pandas Time Series Topics/004 Timezones and Converting (Part 2)_en.srt 5.8 kB11 - A Long-only Strategy based on Price & Volume Data/001 Introduction_en.srt 5.8 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/048 Filtering DataFrames by many Conditions (OR)_en.srt 5.8 kB13 - Implementation and Automation of Trading Strategies with Binance/011 How to setautomate the stop of a Trading Session_en.srt 5.8 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/021 Intro to Tabular Data Pandas_en.srt 5.8 kB16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/003 The Solution explained (Part 1)_en.srt 5.8 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/033 Margin Trading and Levered Returns (Part 1)_en.srt 5.8 kB25 - Appendix 1 Python (& Finance) Basics/050 Calculate a Project´s Payback Period_en.srt 5.8 kB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/006 Alternative Exchanges (FTX, Kraken, etc.)_en.srt 5.7 kB23 - API Trading with FTX/005 What you should consider for Backtesting_en.srt 5.7 kB11 - A Long-only Strategy based on Price & Volume Data/002 Data Preparation_en.srt 5.7 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/019 How to perform row-wise and column-wise Operations_en.srt 5.7 kB10 - What is a Trading Strategy/003 Trading Strategies for Cryptocurrencies (best practices)_en.srt 5.7 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/014 How to work with nested Lists_en.srt 5.6 kB26 - Appendix 2 User-defined Functions/005 How to unpack Iterables_en.srt 5.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/047 Filtering DataFrames by many Conditions (AND)_en.srt 5.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/056 Histogramms (Part 1)_en.srt 5.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/040 The copy() method_en.srt 5.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/030 Slicing Rows and Columns with iloc (position-based indexing)_en.srt 5.5 kB28 - Appendix 4 Advanced Pandas Time Series Topics/003 Timezones and Converting (Part 1)_en.srt 5.5 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/002 The Financial Analysis Class live in action (Part 1)_en.srt 5.5 kB25 - Appendix 1 Python (& Finance) Basics/031 Lists and Element-wise Operations_en.srt 5.5 kB18 - Futures Trading on Binance A-Z/015 How to work with many open positions_en.srt 5.5 kB25 - Appendix 1 Python (& Finance) Basics/045 Operators (Theory)_en.srt 5.5 kB12 - Strategy Optimization and Forward Testing/007 Backtesting & Forward Testing (Part 2)_en.srt 5.5 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/028 Short Selling and Short Position Returns (Part 2)_en.srt 5.5 kB12 - Strategy Optimization and Forward Testing/006 Backtesting & Forward Testing (Part 1)_en.srt 5.5 kB22 - API Trading with CCXT/013 The Private API_en.srt 5.5 kB11 - A Long-only Strategy based on Price & Volume Data/004 Explanatory Data Analysis Financial Returns and Trading Volume (Part 2)_en.srt 5.4 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/006 IndexErrors_en.srt 5.4 kB20 - Implementing and automating Futures Trading on Binance/007 Getting Historical Futures Market Data_en.srt 5.4 kB23 - API Trading with FTX/006 An FTX Spot Trading Bot_en.srt 5.4 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/013 External Factors and Issues_en.srt 5.3 kB25 - Appendix 1 Python (& Finance) Basics/011 The print() Function_en.srt 5.3 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/014 Errors related to the course content (Transcription Errors)_en.srt 5.2 kB20 - Implementing and automating Futures Trading on Binance/008 Streaming Future Prices in real-time_en.srt 5.2 kB07 - Trading with Python and the Binance API - an Introduction/005 Connecting to the APIServer_en.srt 5.2 kB25 - Appendix 1 Python (& Finance) Basics/032 Slicing Lists_en.srt 5.2 kB23 - API Trading with FTX/003 Creating accounts on FTX.com and FTX.us_en.srt 5.1 kB22 - API Trading with CCXT/015 Creating Orders and analyzing Trades (Spot)_en.srt 5.1 kB22 - API Trading with CCXT/018 Excursus Generalization_en.srt 5.1 kB13 - Implementation and Automation of Trading Strategies with Binance/004 Recap Streaming and Collecting Real-Time Candles_en.srt 5.1 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/029 Short Selling and Short Position Returns (Part 3)_en.srt 5.1 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/037 First Steps with Pandas Series_en.srt 5.0 kB25 - Appendix 1 Python (& Finance) Basics/043 String Replacement_en.srt 5.0 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/012 Compound Returns & Geometric Mean Return_en.srt 5.0 kB25 - Appendix 1 Python (& Finance) Basics/005 Calculate Interest Rates and Returns with Python_en.srt 5.0 kB07 - Trading with Python and the Binance API - an Introduction/018 Placing a Test Order_en.srt 5.0 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/045 Renaming Index & Column Labels with rename()_en.srt 4.9 kB12 - Strategy Optimization and Forward Testing/008 The Backtester Class explained (Part 1)_en.srt 4.9 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/001 Introduction and Overview_en.srt 4.9 kB10 - What is a Trading Strategy/008 A simple Buy and Hold Strategy_en.srt 4.9 kB25 - Appendix 1 Python (& Finance) Basics/010 Variables - Dos, Don´ts and Conventions_en.srt 4.8 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/016 Liquidity and Market Depth_en.srt 4.8 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/015 2-dimensional Numpy Arrays_en.srt 4.8 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/008 Numpy Universal Functions_en.srt 4.8 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/004 Vectorized Operations with Numpy Arrays_en.srt 4.8 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/015 Creating and Importing Python Modules (.py)_en.srt 4.7 kB07 - Trading with Python and the Binance API - an Introduction/019 The Binance Spot Test Network_en.srt 4.7 kB25 - Appendix 1 Python (& Finance) Basics/035 Sorting and Reversing Lists_en.srt 4.7 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/009 Encapsulation and protected Attributes_en.srt 4.7 kB18 - Futures Trading on Binance A-Z/005 A trade with Leverage_en.srt 4.6 kB18 - Futures Trading on Binance A-Z/002 First Steps_en.srt 4.6 kB25 - Appendix 1 Python (& Finance) Basics/024 The Data Type Hierarchy (Theory)_en.srt 4.6 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/018 Recap Changing Elements in a Numpy Array slice_en.srt 4.5 kB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/005 How to connect to your EC2 Instance_en.srt 4.5 kB18 - Futures Trading on Binance A-Z/012 Stop Loss (SL) and Take Profit (TP) Orders_en.srt 4.5 kB12 - Strategy Optimization and Forward Testing/011 The Backtester Class explained (Part 4)_en.srt 4.5 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/009 TypeErrors and ValueErrors_en.srt 4.4 kB18 - Futures Trading on Binance A-Z/010 Excursus The Futures Calculator_en.srt 4.4 kB03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/009 [Article] Algorithmic Trading 101 and how to start.html 4.4 kB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/010 How to start Trading sessions with Batch (.bat) Files_en.srt 4.4 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/032 Portfolios and Portfolio Returns_en.srt 4.4 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/003 The Financial Analysis Class live in action (Part 2)_en.srt 4.4 kB12 - Strategy Optimization and Forward Testing/004 Strategy Optimization (Part 2)_en.srt 4.4 kB25 - Appendix 1 Python (& Finance) Basics/002 Calculate Future Values (FV) with Python Compounding_en.srt 4.4 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/011 Take-Profit Orders_en.srt 4.4 kB25 - Appendix 1 Python (& Finance) Basics/013 TVM Problems with many Cashflows_en.srt 4.4 kB18 - Futures Trading on Binance A-Z/011 How to add Stop Loss to an open position_en.srt 4.3 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/007 Indentation Errors_en.srt 4.3 kB22 - API Trading with CCXT/011 Streaming real-time Data (Part 3)_en.srt 4.3 kB18 - Futures Trading on Binance A-Z/016 Introduction to the Funding Rate_en.srt 4.3 kB10 - What is a Trading Strategy/002 [Article] More on Trading Strategies.html 4.2 kB07 - Trading with Python and the Binance API - an Introduction/002 Getting the API Key & other Preparations_en.srt 4.2 kB16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/005 The Solution explained (Part 3)_en.srt 4.2 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/028 Zero-based Indexing and Negative Indexing_en.srt 4.1 kB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/008 How to run Python Scripts in a Windows Command Prompt_en.srt 4.1 kB25 - Appendix 1 Python (& Finance) Basics/027 Integers_en.srt 4.1 kB18 - Futures Trading on Binance A-Z/007 A Short Trade_en.srt 4.1 kB04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/009 Another Spot Trade (sell Bitcoin)_en.srt 4.0 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/044 Changing Column Labels_en.srt 4.0 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/032 Selecting Rows with loc (label-based indexing)_en.srt 3.9 kB25 - Appendix 1 Python (& Finance) Basics/016 Indexing Lists_en.srt 3.9 kB14 - A Long-Short Trading Strategy A-Z/008 Implementing and Automating a Long-Short Trading Strategy_en.srt 3.9 kB10 - What is a Trading Strategy/007 Financial Data Analysis Visual Inspection_en.srt 3.9 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/026 Short Selling and Short Position Returns (Part 1)_en.srt 3.9 kB13 - Implementation and Automation of Trading Strategies with Binance/007 Working with historical data and real-time data (Part 2)_en.srt 3.9 kB25 - Appendix 1 Python (& Finance) Basics/021 Calculate an Investment Project´s NPV_en.srt 3.9 kB10 - What is a Trading Strategy/006 Getting the Data_en.srt 3.8 kB02 - +++ PART 1 Fundamentals of Trading, Binance and Python for Finance +++/001 PART 1 Overview_en.srt 3.8 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/001 Introduction_en.srt 3.8 kB22 - API Trading with CCXT/004 General Exchange Information_en.srt 3.7 kB18 - Futures Trading on Binance A-Z/019 The Funding Rate explained (Part 3)_en.srt 3.7 kB22 - API Trading with CCXT/010 Streaming real-time Data (Part 2)_en.srt 3.7 kB12 - Strategy Optimization and Forward Testing/009 The Backtester Class explained (Part 2)_en.srt 3.7 kB20 - Implementing and automating Futures Trading on Binance/006 Placing Market Orders (Part 2)_en.srt 3.6 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/006 The method log_returns()_en.srt 3.6 kB25 - Appendix 1 Python (& Finance) Basics/007 Excursus How to add inline comments_en.srt 3.6 kB12 - Strategy Optimization and Forward Testing/010 The Backtester Class explained (Part 3)_en.srt 3.6 kB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/007 Getting the Instance Ready for Algorithmic Trading_en.srt 3.6 kB29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/010 The method set_ticker()_en.srt 3.6 kB25 - Appendix 1 Python (& Finance) Basics/015 Zero-based Indexing and negative Indexing in Python (Theory)_en.srt 3.6 kB07 - Trading with Python and the Binance API - an Introduction/001 Overview_en.srt 3.5 kB25 - Appendix 1 Python (& Finance) Basics/034 Changing Elements in Lists_en.srt 3.4 kB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/001 Introduction and Motivation_en.srt 3.4 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/003 Indexing and Slicing Numpy Arrays_en.srt 3.4 kB26 - Appendix 2 User-defined Functions/007 How to return many results_en.srt 3.4 kB20 - Implementing and automating Futures Trading on Binance/001 Introduction and Preparations_en.srt 3.3 kB18 - Futures Trading on Binance A-Z/020 The Funding Rate live in action_en.srt 3.2 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/008 Misuse of function names and keywords_en.srt 3.2 kB07 - Trading with Python and the Binance API - an Introduction/016 Streaming real-time Market Data (Part 2)_en.srt 3.2 kB25 - Appendix 1 Python (& Finance) Basics/003 Calculate Present Values (FV) with Python Discounting_en.srt 3.1 kB22 - API Trading with CCXT/014 How to connect to Testnets (Sandbox mode)_en.srt 3.1 kB07 - Trading with Python and the Binance API - an Introduction/025 Reporting Getting all (historical) Orders and Trades_en.srt 3.1 kB07 - Trading with Python and the Binance API - an Introduction/020 Creating a Connection to the Spot Testnet_en.srt 3.1 kB24 - +++ APPENDIX Python Crash Course +++/001 Introduction and Overview_en.srt 3.1 kB25 - Appendix 1 Python (& Finance) Basics/044 Booleans_en.srt 3.1 kB01 - Getting Started/001 Welcome and Introduction_en.srt 3.0 kB25 - Appendix 1 Python (& Finance) Basics/014 Intro to Python Lists_en.srt 2.9 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/027 Selecting one Column with the dot notation_en.srt 2.9 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/016 Log Returns_en.srt 2.8 kB07 - Trading with Python and the Binance API - an Introduction/004 How to install the Binance API Wrapper_en.srt 2.8 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/052 Exporting DataFrames to csv_en.srt 2.7 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/064 Introduction to GroupBy Operations_en.srt 2.7 kB01 - Getting Started/005 LEGAL DISCLAIMER (MUST READ!).html 2.7 kB27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/017 How to slice 2-dim Numpy Arrays (Part 2)_en.srt 2.6 kB07 - Trading with Python and the Binance API - an Introduction/023 Placing a Market Sell Order_en.srt 2.6 kB08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/002 Installing and importing required LibrariesPackages_en.srt 2.5 kB25 - Appendix 1 Python (& Finance) Basics/008 Variables and Memory (Theory)_en.srt 2.4 kB14 - A Long-Short Trading Strategy A-Z/003 Recap Explanatory Data Analysis and generating a Trading Idea_en.srt 2.3 kB09 - +++ PART 2 Algorithmic Trading Spot Trading +++/001 Overview_en.srt 2.3 kB25 - Appendix 1 Python (& Finance) Basics/025 Excursus Dynamic Typing in Python_en.srt 2.2 kB05 - Installing Python and Jupyter Notebooks/001 Introduction_en.srt 2.1 kB05 - Installing Python and Jupyter Notebooks/005 Tips for Python Beginners_en.srt 2.1 kB22 - API Trading with CCXT/002 Preparations_en.srt 1.9 kB12 - Strategy Optimization and Forward Testing/002 Getting started_en.srt 1.8 kB13 - Implementation and Automation of Trading Strategies with Binance/002 Getting started_en.srt 1.7 kB19 - Backtesting Futures Trading Strategies with Leverage/002 Getting the Data_en.srt 1.7 kB14 - A Long-Short Trading Strategy A-Z/002 Getting started_en.srt 1.7 kB15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/006 Required Installations and Downloads.html 1.6 kB06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/003 Major reasons for Coding Errors_en.srt 1.5 kB14 - A Long-Short Trading Strategy A-Z/009 #Troubleshooting for the next Lecture#.html 1.4 kB19 - Backtesting Futures Trading Strategies with Leverage/004 Recap Leverage and levered Returns_en.srt 1.3 kB07 - Trading with Python and the Binance API - an Introduction/006 Troubleshooting (BinanceAPIException Error).html 1.2 kB07 - Trading with Python and the Binance API - an Introduction/007 Important notice for Binance.US users (Part 1).html 1.0 kB18 - Futures Trading on Binance A-Z/001 Creating an account on Binance Futures Testnet_en.srt 1.0 kB07 - Trading with Python and the Binance API - an Introduction/015 Important notice for Binance.US users (Part 2).html 813 Bytes15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/009 #Troubleshooting#.html 811 Bytes07 - Trading with Python and the Binance API - an Introduction/003 Commands to install required packages.html 763 Bytes21 - +++ PART 4 API Trading with other Exchanges (FTX, Kraken & co.) +++/001 Overview.html 709 Bytes27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/034 Label-based Indexing Cheat Sheets.html 701 Bytes23 - API Trading with FTX/002 How to get a 5% Discount on Trading Commissions (FTX.com).html 617 Bytes08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/025 Coding Challenge #5.html 569 Bytes04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/002 How to get a 10% Discount on Trading Commissions.html 487 Bytes12 - Strategy Optimization and Forward Testing/001 Introduction.html 445 Bytes08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/035 Coding Challenge #7.html 444 Bytes27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/031 Position-based Indexing Cheat Sheets.html 440 Bytes13 - Implementation and Automation of Trading Strategies with Binance/001 Introduction.html 429 Bytes08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/010 Coding Challenge #2.html 425 Bytes08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/019 Coding Challenge #4.html 387 Bytes08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/030 Coding Challenge #6.html 365 Bytes08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/013 Coding Challenge #3.html 357 Bytes13 - Implementation and Automation of Trading Strategies with Binance/003 Important notice for Binance.US users.html 356 Bytes02 - +++ 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 Bytes08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/005 [Article] Loading Data into Pandas - advanced topics.html 192 Bytes07 - Trading with Python and the Binance API - an Introduction/How you can help GetFreeCourses.Co.txt 182 Bytes15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/How you can help GetFreeCourses.Co.txt 182 Bytes19 - Backtesting Futures Trading Strategies with Leverage/How you can help GetFreeCourses.Co.txt 182 Bytes27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/How you can help GetFreeCourses.Co.txt 182 Bytes27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/025 Coding Exercise 9.html 157 Bytes27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/036 Coding Exercise 10.html 157 Bytes25 - Appendix 1 Python (& Finance) Basics/052 Coding Exercise 5.html 156 Bytes27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/013 Coding Exercise 7.html 156 Bytes27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/020 Coding Exercise 8.html 156 Bytes26 - Appendix 2 User-defined Functions/009 Coding Exercise 6.html 154 Bytes24 - +++ APPENDIX Python Crash Course +++/002 Appendix Downloads.html 124 Bytes09 - +++ 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 Bytes15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/GetFreeCourses.Co.url 116 Bytes19 - Backtesting Futures Trading Strategies with Leverage/GetFreeCourses.Co.url 116 Bytes27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/GetFreeCourses.Co.url 116 Bytes25 - Appendix 1 Python (& Finance) Basics/033 Slicing Cheat Sheet.html 108 Bytes16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/002 Solution (Notebook).html 79 Bytes17 - +++ PART 3 Algorithmic Trading Futures Trading +++/002 Downloads for Part 3 (Updated 28122021).html 64 Bytes21 - +++ PART 4 API Trading with other Exchanges (FTX, Kraken & co.) +++/002 Downloads for Part 4 (Updated 17 Jan 2022).html 64 Bytes [ FreeCourseWeb.com ] Udemy - Cryptocurrency... 1.0 GB Cryptocurrency Fundamentals Buy, Sell, Trade Cryptocurrency 1.0 GB The Abcs Of Bitcoin Cryptocurrency How To Understand... 152.9 MB coursera bitcoin and cryptocurrency technologies 5.1 GB Cryptocurrency Investment Course 2017 2.1 GB coursera bitcoin and cryptocurrency technologies 5.1 GB [FreeTutorials.Us] cryptocurrency 2.1 GB [HiOrla.com] Cryptocurrency Investment Course Fund your... 2.0 GB [FreeCourseSite.com] Udemy - Blockchain & Cryptocurrency... 1.1 GB [FreeCourseSite.com] Udemy - Cryptocurrency Investment... 2.1 GB
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