Udemy - Cryptocurrency Algorithmic Trading with Python and Binance (7.2025)

Creation Time	Aug. 19, 2025, 1:52 a.m.
Last Access Time	Aug. 26, 2025, 10:28 a.m.
File Size	10.7 GB
Keywords	and Binance Algorithmic Python - Udemy Cryptocurrency 2025 Trading 7 with
Total Requests	39
Total Files	862
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03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/1. Investing vs. (Algorithmic) Trading.mp4 125.6 MB
07. Trading with Python and the Binance API - an Introduction/14. How to load Historical Price & Volume Data (Part 2).mp4 113.0 MB
23. API Trading with Bybit/8. A Bybit Spot Trading Bot.mp4 95.7 MB
07. Trading with Python and the Binance API - an Introduction/17. Streaming real-time Market Data (Part 1).mp4 93.5 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/3. Loading Financial Data from the Web.mp4 90.5 MB
01. Getting Started/3. How to get the best out of this course.mp4 88.5 MB
20. Implementing and automating Futures Trading on Binance/3. The Binance Futures API.mp4 83.0 MB
18. Futures Trading on Binance A-Z/3. The first Futures Trade (Long).mp4 81.4 MB
14. A Long-Short Trading Strategy A-Z/8. A Long-Short Trading Framework.mp4 80.0 MB
13. Implementation and Automation of Trading Strategies with Binance/13. How to setautomate the stop of a Trading Session.mp4 79.2 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/7. The first Spot Trade (buy Bitcoin).mp4 78.3 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/1. Binance.com and Binance.US at a first glance.mp4 77.7 MB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/2. Asset Classes, Money and (Crypto-) Currencies.mp4 77.4 MB
23. API Trading with Bybit/9. Futures Trading on Bybit (Orders and Trades).mp4 76.7 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/13. Inheritance.mp4 76.2 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/4. Initial Inspection and Visualization.mp4 74.5 MB
05. Installing Python and Jupyter Notebooks/3. How to open Jupyter Notebooks.mp4 73.6 MB
22. API Trading with CCXT/18. A CCXT Spot Trading Bot.mp4 73.2 MB
23. API Trading with Bybit/7. Spot Trading (Orders and Trades).mp4 73.1 MB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/8. Spot Trading vs. Derivatives (Futures) Trading (Part 2).mp4 72.5 MB
13. Implementation and Automation of Trading Strategies with Binance/12. Trade Monitoring and Reporting.mp4 71.7 MB
22. API Trading with CCXT/7. Loading Historical Data (Part 1).mp4 70.8 MB
18. Futures Trading on Binance A-Z/9. Margin Requirements and Liquidation (Part 2).mp4 69.7 MB
07. Trading with Python and the Binance API - an Introduction/27. Placing a Market Buy Order.mp4 68.5 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4 68.2 MB
05. Installing Python and Jupyter Notebooks/2. Download and Install Anaconda.mp4 68.0 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/35. Slicing Rows and Columns with loc (label-based indexing).mp4 67.3 MB
23. API Trading with Bybit/5. API Trading with Bybit and CCXT - First Steps.mp4 66.9 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/57. Customization of Plots.mp4 65.8 MB
14. A Long-Short Trading Strategy A-Z/11. Running a Python Trader Script.mp4 65.7 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/22. (Non-) Normality of Financial Returns.mp4 65.6 MB
20. Implementing and automating Futures Trading on Binance/11. A Futures Trading Bot (Part 1).mp4 65.6 MB
18. Futures Trading on Binance A-Z/8. Margin Requirements and Liquidation (Part 1).mp4 64.6 MB
07. Trading with Python and the Binance API - an Introduction/31. How to create & run a first (simple) Trading Bot.mp4 64.3 MB
18. Futures Trading on Binance A-Z/14. Position Mode One-way (Netting) vs. Hedging.mp4 62.9 MB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/5. Why using Binance.mp4 62.8 MB
22. API Trading with CCXT/17. Creating Orders and analyzing Trades (Futures).mp4 62.0 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/55. Summary Statistics and Accumulations.mp4 61.3 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/31. Selecting Rows with iloc (position-based indexing).mp4 61.3 MB
22. API Trading with CCXT/20. A CCXT Futures Trading Bot.mp4 59.9 MB
12. Strategy Optimization and Forward Testing/5. Putting everything together a Backtester Class.mp4 59.7 MB
07. Trading with Python and the Binance API - an Introduction/10. Retrieving general accountsystem Info (Part 1).mp4 59.3 MB
12. Strategy Optimization and Forward Testing/3. Strategy Optimization (Part 1).mp4 58.9 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/22. Create your very first Pandas DataFrame (from csv).mp4 58.7 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/45. Changing Row Index with set_index() and reset_index().mp4 58.7 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/17. Introduction to Charting and Technical Indicators.mp4 58.6 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/6. The method get_data().mp4 58.2 MB
19. Backtesting Futures Trading Strategies with Leverage/7. How to adjust the Framework to (levered) Futures Trading.mp4 58.1 MB
19. Backtesting Futures Trading Strategies with Leverage/5. Levered Returns a more realistic approach.mp4 57.9 MB
07. Trading with Python and the Binance API - an Introduction/26. Spot Testnet API - Overview.mp4 57.9 MB
20. Implementing and automating Futures Trading on Binance/5. Placing Market Orders (Part 1).mp4 57.8 MB
23. API Trading with Bybit/6. What you should consider for Backtesting.mp4 57.6 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/40. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 57.6 MB
22. API Trading with CCXT/4. First Steps with CCXT.mp4 57.1 MB
17. +++ PART 3 Algorithmic Trading Futures Trading +++/1. Overview.mp4 56.7 MB
24. API Trading with FTX (now liquidated!) - another showcase/8. Futures Trading on FTX.mp4 56.3 MB
07. Trading with Python and the Binance API - an Introduction/21. Streaming and collecting real-time Candles.mp4 55.9 MB
23. API Trading with Bybit/10. A Bybit Futures Trading Bot.mp4 55.8 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/62. Categorical Seaborn Plots.mp4 55.7 MB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.mp4 55.6 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/14. Discrete Compounding.mp4 55.2 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/1. Introduction to OOP and examples for Classes.mp4 55.0 MB
07. Trading with Python and the Binance API - an Introduction/12. Getting (current) Market Data.mp4 54.8 MB
11. A Long-only Strategy based on Price & Volume Data/3. Explanatory Data Analysis Financial Returns and Trading Volume (Part 1).mp4 54.4 MB
13. Implementation and Automation of Trading Strategies with Binance/11. Placing Orders and Executing Trades.mp4 53.4 MB
18. Futures Trading on Binance A-Z/13. Margin Mode Cross vs. Isolated.mp4 52.8 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Visualization with Matplotlib (Intro).mp4 51.7 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/8. Trade Analysis and Trading FeesCommissions.mp4 51.6 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/63. Seaborn Regression Plots.mp4 51.5 MB
22. API Trading with CCXT/13. Getting Historical Data and Streaming live Data.mp4 51.3 MB
07. Trading with Python and the Binance API - an Introduction/13. How to load Historical Price & Volume Data (Part 1).mp4 50.6 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/21. Comparing the Performance of Financial Instruments.mp4 50.5 MB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/7. Spot Trading vs. Derivatives (Futures) Trading (Part 1).mp4 50.2 MB
05. Installing Python and Jupyter Notebooks/4. How to work with Jupyter Notebooks.mp4 50.1 MB
13. Implementation and Automation of Trading Strategies with Binance/10. Adding a Long-Only Trading Strategy.mp4 49.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/53. Handling NA Values missing Values.mp4 48.8 MB
20. Implementing and automating Futures Trading on Binance/10. Streaming Future Prices in real-time.mp4 47.9 MB
13. Implementation and Automation of Trading Strategies with Binance/5. Recap Streaming and Collecting Real-Time Candles.mp4 47.1 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/35. Margin Trading and Levered Returns (Part 2).mp4 46.3 MB
11. A Long-only Strategy based on Price & Volume Data/7. Trading Costs.mp4 46.3 MB
01. Getting Started/6. Course Overview.mp4 46.3 MB
20. Implementing and automating Futures Trading on Binance/4. How to change Settings and Modes.mp4 44.1 MB
22. API Trading with CCXT/2. Introduction.mp4 44.0 MB
18. Futures Trading on Binance A-Z/15. How to work with many open positions.mp4 43.8 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/25. First Data Inspection.mp4 43.6 MB
10. What is a Trading Strategy/1. Trading Strategies - Overview.mp4 43.5 MB
26. Appendix 1 Python (& Finance) Basics/39. Coding Exercise 3.mp4 43.1 MB
10. What is a Trading Strategy/4. How to create your own Trading Strategies.mp4 42.9 MB
24. API Trading with FTX (now liquidated!) - another showcase/9. An FTX Futures Trading Bot.mp4 42.4 MB
13. Implementation and Automation of Trading Strategies with Binance/8. Working with historical data and real-time data (Part 1).mp4 42.4 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/24. Resampling Smoothing of Financial Data.mp4 41.9 MB
07. Trading with Python and the Binance API - an Introduction/11. Retrieving general accountsystem Info (Part 2).mp4 41.3 MB
18. Futures Trading on Binance A-Z/4. Trade Analysis.mp4 41.2 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/14. Inheritance and the super() Function.mp4 41.2 MB
11. A Long-only Strategy based on Price & Volume Data/6. Strategy Backtesting.mp4 41.2 MB
19. Backtesting Futures Trading Strategies with Leverage/1. Introduction.mp4 40.8 MB
16. Ultimate Homework Challenge Create, Test and Implement your Strategy!/1. Introduction.mp4 40.0 MB
07. Trading with Python and the Binance API - an Introduction/29. Placing Limit Orders.mp4 39.3 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/15. Adding meaningful Docstrings.mp4 39.2 MB
29. Appendix 4 Advanced Pandas Time Series Topics/2. Filling NA Values with bfill, ffill and interpolation.mp4 38.9 MB
22. API Trading with CCXT/11. Streaming real-time Data (Part 2).mp4 38.8 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/32. Covariance and Correlation.mp4 38.2 MB
20. Implementing and automating Futures Trading on Binance/6. Trade Analysis - Trade and Income History.mp4 38.1 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/5. Omitting cells, changing the sequence and more.mp4 37.5 MB
22. API Trading with CCXT/10. Introduction to Multithreaded Programming.mp4 37.5 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/7. Coding Challenge #1.mp4 37.5 MB
26. Appendix 1 Python (& Finance) Basics/12. Coding Exercise 1.mp4 37.4 MB
24. API Trading with FTX (now liquidated!) - another showcase/6. What you should consider for Backtesting.mp4 37.3 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/11. Investment Multiple and CAGR.mp4 37.2 MB
07. Trading with Python and the Binance API - an Introduction/15. Excursus Loading Historical Data (csv) from the Website.mp4 37.1 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/28. Introduction to Currencies (Forex) and Trading.mp4 37.0 MB
26. Appendix 1 Python (& Finance) Basics/47. Coding Exercise 4.mp4 36.7 MB
16. Ultimate Homework Challenge Create, Test and Implement your Strategy!/4. The Solution explained (Part 2).mp4 36.5 MB
19. Backtesting Futures Trading Strategies with Leverage/3. Backtesting without Leverage and Trading Costs in the Futures Market.mp4 36.5 MB
14. A Long-Short Trading Strategy A-Z/5. A Long-Short Backtesting Framework.mp4 36.1 MB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/3. What is a Stable Coin.mp4 35.9 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/6. Normalizing Time Series to a Base Value (100).mp4 34.7 MB
18. Futures Trading on Binance A-Z/12. Stop Loss (SL) and Take Profit (TP) Orders.mp4 34.6 MB
22. API Trading with CCXT/6. The Public API.mp4 34.5 MB
14. A Long-Short Trading Strategy A-Z/1. Introduction.mp4 34.4 MB
20. Implementing and automating Futures Trading on Binance/12. A Futures Trading Bot (Part 2).mp4 34.3 MB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/2. Demonstration AWS EC2 for Algorithmic Trading live in action.mp4 34.2 MB
14. A Long-Short Trading Strategy A-Z/9. Implementing and Automating a Long-Short Trading Strategy.mp4 34.0 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/25. Rolling Statistics.mp4 33.9 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/10. Getting help on StackOverflow.com.mp4 32.9 MB
26. Appendix 1 Python (& Finance) Basics/42. Intro to Strings.mp4 32.7 MB
20. Implementing and automating Futures Trading on Binance/8. Getting Historical Futures Market Data.mp4 32.5 MB
11. A Long-only Strategy based on Price & Volume Data/4. Explanatory Data Analysis Financial Returns and Trading Volume (Part 2).mp4 32.5 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/10. Limit Orders vs. Market Orders.mp4 32.5 MB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/4. Why Trading Cryptocurrencies.mp4 32.5 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/8. Price changes and Financial Returns.mp4 32.4 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/2. Test your debugging skills!.mp4 32.3 MB
13. Implementation and Automation of Trading Strategies with Binance/7. Creating the LongOnlyTrader Class.mp4 32.0 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/69. Splitting with many Keys.mp4 31.9 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/70. split-apply-combine.mp4 31.9 MB
24. API Trading with FTX (now liquidated!) - another showcase/5. FTX and CCXT - an Overview.mp4 31.7 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/4. The most commonly made Errors at a glance.mp4 31.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/37. Summary, Best Practices and Outlook.mp4 31.0 MB
07. Trading with Python and the Binance API - an Introduction/20. Streaming real-time Market Data (Part 2).mp4 30.8 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/15. Continuous Compounding.mp4 30.7 MB
18. Futures Trading on Binance A-Z/7. A Short Trade.mp4 30.5 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/12. Stop-Loss Orders.mp4 30.2 MB
24. API Trading with FTX (now liquidated!) - another showcase/7. An FTX Spot Trading Bot.mp4 30.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/24. Pandas Display Options and the methods head() & tail().mp4 30.0 MB
27. Appendix 2 User-defined Functions/2. What´s the difference between Positional Arguments vs. Keyword Arguments.mp4 29.3 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/26. Make it easy TAB Completion and Tooltip.mp4 29.2 MB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/6. Alternative Exchanges (Bybit, Kraken, etc.).mp4 29.1 MB
18. Futures Trading on Binance A-Z/5. A trade with Leverage.mp4 28.9 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/51. Advanced Filtering with between(), isin() and ~.mp4 28.8 MB
11. A Long-only Strategy based on Price & Volume Data/5. Formulating a Long-only Strategy based on Price & Volume Data.mp4 28.4 MB
11. A Long-only Strategy based on Price & Volume Data/2. Data Preparation.mp4 28.3 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/12. Creating Numpy Arrays from Scratch.mp4 28.1 MB
22. API Trading with CCXT/16. Creating Orders and analyzing Trades (Spot).mp4 27.5 MB
14. A Long-Short Trading Strategy A-Z/6. Strategy Backtesting.mp4 27.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/44. First Steps with Pandas Index Objects.mp4 27.2 MB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/5. How to connect to your EC2 Instance.mp4 26.5 MB
29. Appendix 4 Advanced Pandas Time Series Topics/4. Timezones and Converting (Part 2).mp4 26.5 MB
18. Futures Trading on Binance A-Z/16. Introduction to the Funding Rate.mp4 26.2 MB
12. Strategy Optimization and Forward Testing/6. Backtesting & Forward Testing (Part 1).mp4 25.8 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/12. Adding more methods and performance metrics.mp4 25.5 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/16. How to slice 2-dim Numpy Arrays (Part 1).mp4 25.4 MB
12. Strategy Optimization and Forward Testing/11. The Backtester Class explained (Part 4).mp4 24.9 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/5. The special method __init__().mp4 24.6 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/6. IndexErrors.mp4 24.5 MB
26. Appendix 1 Python (& Finance) Basics/22. Coding Exercise 2.mp4 24.1 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/52. Intro to NA Values missing Values.mp4 24.0 MB
22. API Trading with CCXT/19. Excursus Generalization.mp4 24.0 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/13. The Order Book.mp4 23.9 MB
20. Implementing and automating Futures Trading on Binance/13. Putting everything together.mp4 23.9 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/48. Filtering DataFrames (one Condition).mp4 23.9 MB
10. What is a Trading Strategy/3. Trading Strategies for Cryptocurrencies (best practices).mp4 23.8 MB
22. API Trading with CCXT/12. Streaming real-time Data (Part 3).mp4 23.8 MB
26. Appendix 1 Python (& Finance) Basics/36. Adding and removing Elements fromto Lists.mp4 23.6 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/18. Simple Returns vs Log Returns ( Part 2).mp4 23.6 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/1. Introduction and Overview.mp4 23.3 MB
29. Appendix 4 Advanced Pandas Time Series Topics/1. Helpful DatetimeIndex Attributes and Methods.mp4 23.2 MB
07. Trading with Python and the Binance API - an Introduction/7. Connecting to the APIServer.mp4 23.1 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/12. Compound Returns & Geometric Mean Return.mp4 22.8 MB
24. API Trading with FTX (now liquidated!) - another showcase/2. Introduction.mp4 22.8 MB
10. What is a Trading Strategy/6. Getting the Data.mp4 22.7 MB
27. Appendix 2 User-defined Functions/8. Scope - easily explained.mp4 22.6 MB
07. Trading with Python and the Binance API - an Introduction/30. Reporting Getting all (historical) Orders and Trades.mp4 22.4 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/14. Bid-Ask-Spread and Slippage.mp4 22.3 MB
27. Appendix 2 User-defined Functions/1. Defining your first user-defined Function.mp4 22.2 MB
26. Appendix 1 Python (& Finance) Basics/48. Conditional Statements.mp4 22.2 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/16. Liquidity and Market Depth.mp4 22.0 MB
18. Futures Trading on Binance A-Z/2. First Steps.mp4 22.0 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/30. Short Selling and Short Position Returns (Part 3).mp4 21.8 MB
16. Ultimate Homework Challenge Create, Test and Implement your Strategy!/5. The Solution explained (Part 3).mp4 21.7 MB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/10. How to schedule Trading sessions with the Task Scheduler.mp4 21.5 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/2. Numpy Arrays.mp4 21.4 MB
22. API Trading with CCXT/5. General Exchange Information.mp4 21.3 MB
27. Appendix 2 User-defined Functions/6. Sequences as arguments and args.mp4 21.2 MB
14. A Long-Short Trading Strategy A-Z/4. Defining the Long-Short Strategy.mp4 21.2 MB
18. Futures Trading on Binance A-Z/20. The Funding Rate live in action.mp4 21.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/47. Renaming Index & Column Labels with rename().mp4 21.1 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/65. Seaborn Heatmaps.mp4 21.0 MB
26. Appendix 1 Python (& Finance) Basics/46. Comparison, Logical and Membership Operators in Action.mp4 20.9 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/28. Selecting Columns.mp4 20.8 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/1. Modules, Packages and Libraries - No need to reinvent the Wheel.mp4 20.8 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/17. Simple Returns vs Log Returns ( Part 1).mp4 20.7 MB
19. Backtesting Futures Trading Strategies with Leverage/6. The Futures Backtesting Class live in action.mp4 20.6 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Selecting Rows with loc (label-based indexing).mp4 20.2 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/17. Coding Exercise Create your own Class.mp4 20.2 MB
26. Appendix 1 Python (& Finance) Basics/51. Introduction to while loops.mp4 20.0 MB
16. Ultimate Homework Challenge Create, Test and Implement your Strategy!/3. The Solution explained (Part 1).mp4 20.0 MB
12. Strategy Optimization and Forward Testing/7. Backtesting & Forward Testing (Part 2).mp4 20.0 MB
26. Appendix 1 Python (& Finance) Basics/49. Keywords pass, continue and break.mp4 19.9 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/68. Understanding the GroupBy Object.mp4 19.8 MB
24. API Trading with FTX (now liquidated!) - another showcase/4. Creating accounts on FTX.com and FTX.us.mp4 19.6 MB
22. API Trading with CCXT/8. Loading Historical Data (Part 2).mp4 19.5 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/11. The method set_ticker().mp4 19.4 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/5. Changing Elements in Numpy Arrays & Mutability.mp4 19.4 MB
26. Appendix 1 Python (& Finance) Basics/37. Mutable vs. immutable Objects (Part 1).mp4 19.3 MB
22. API Trading with CCXT/21. Bonus Trading Scripts at a glance.mp4 19.3 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/10. Encapsulation and protected Attributes.mp4 19.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/41. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4 19.1 MB
18. Futures Trading on Binance A-Z/6. The impact of Leverage.mp4 19.1 MB
22. API Trading with CCXT/14. The Private API.mp4 19.0 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/9. Reward and Risk of Financial Instruments.mp4 18.8 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/10. Advanced Filtering & Bitwise Operators.mp4 18.5 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/5. Deposits and Withdrawals (Part 1).mp4 18.5 MB
19. Backtesting Futures Trading Strategies with Leverage/8. The impact of Leverage on Trading Performance.mp4 18.4 MB
27. Appendix 2 User-defined Functions/3. How to work with Default Arguments.mp4 18.4 MB
27. Appendix 2 User-defined Functions/4. The Default Argument None.mp4 18.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/66. Removing Columns.mp4 18.2 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/12. Problems with the Python Installation.mp4 18.2 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/4. The Financial Analysis Class live in action (Part 2).mp4 18.0 MB
26. Appendix 1 Python (& Finance) Basics/41. Dictionaries.mp4 17.9 MB
26. Appendix 1 Python (& Finance) Basics/19. Calculate FV and PV for many Cashflows.mp4 17.9 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/60. Scatterplots.mp4 17.5 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/43. Sorting of Series and Introduction to the inplace - parameter.mp4 17.3 MB
22. API Trading with CCXT/9. Streaming real-time Data (Part 1).mp4 17.2 MB
26. Appendix 1 Python (& Finance) Basics/17. For Loops - Iterating over Lists.mp4 17.2 MB
20. Implementing and automating Futures Trading on Binance/2. Introduction and Preparations.mp4 17.1 MB
23. API Trading with Bybit/4. More Preparations for (API) Trading with Bybit and CCXT.mp4 17.1 MB
23. API Trading with Bybit/2. Introduction.mp4 17.0 MB
26. Appendix 1 Python (& Finance) Basics/40. Tuples.mp4 17.0 MB
29. Appendix 4 Advanced Pandas Time Series Topics/3. Timezones and Converting (Part 1).mp4 16.8 MB
18. Futures Trading on Binance A-Z/11. How to add Stop Loss to an open position.mp4 16.5 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/29. Short Selling and Short Position Returns (Part 2).mp4 16.4 MB
23. API Trading with Bybit/3. Creating accounts on bybit.com and testnet.bybit.com.mp4 16.2 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/15. Total Costs of a Trade (visible vs. hidden Costs).mp4 16.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/42. The copy() method.mp4 15.9 MB
18. Futures Trading on Binance A-Z/10. Excursus The Futures Calculator.mp4 15.9 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/9. Another Spot Trade (sell Bitcoin).mp4 15.6 MB
26. Appendix 1 Python (& Finance) Basics/20. The Net Present Value - NPV (Theory).mp4 15.4 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/59. Histogramms (Part 2).mp4 15.4 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/23. Annualizing Return and Risk.mp4 15.3 MB
07. Trading with Python and the Binance API - an Introduction/4. Getting the API Key & other Preparations.mp4 15.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/19. How to perform row-wise and column-wise Operations.mp4 15.0 MB
12. Strategy Optimization and Forward Testing/8. The Backtester Class explained (Part 1).mp4 15.0 MB
13. Implementation and Automation of Trading Strategies with Binance/9. Working with historical data and real-time data (Part 2).mp4 14.8 MB
20. Implementing and automating Futures Trading on Binance/7. Placing Market Orders (Part 2).mp4 14.6 MB
26. Appendix 1 Python (& Finance) Basics/26. Build-in Functions.mp4 14.6 MB
26. Appendix 1 Python (& Finance) Basics/23. Data Types in Action.mp4 14.6 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/33. Portfolios and Portfolio Returns.mp4 14.6 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/39. First Steps with Pandas Series.mp4 14.5 MB
07. Trading with Python and the Binance API - an Introduction/2. Overview.mp4 14.3 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. First Steps with Seaborn.mp4 14.2 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/3. The Financial Analysis Class live in action (Part 1).mp4 14.2 MB
11. A Long-only Strategy based on Price & Volume Data/1. Introduction.mp4 13.9 MB
10. What is a Trading Strategy/9. Performance Measurement.mp4 13.9 MB
12. Strategy Optimization and Forward Testing/9. The Backtester Class explained (Part 2).mp4 13.7 MB
07. Trading with Python and the Binance API - an Introduction/6. How to install the Binance API Wrapper.mp4 13.7 MB
26. Appendix 1 Python (& Finance) Basics/30. More on Lists.mp4 13.5 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/11. Determining a Project´s Payback Period with np.where().mp4 13.5 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/4. How to instantly buy your first Cryptos.mp4 13.5 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/8. String representation and the special method __repr__().mp4 13.5 MB
18. Futures Trading on Binance A-Z/18. The Funding Rate explained (Part 2).mp4 13.5 MB
10. What is a Trading Strategy/7. Financial Data Analysis Visual Inspection.mp4 13.4 MB
18. Futures Trading on Binance A-Z/17. The Funding Rate explained (Part 1).mp4 13.4 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/9. The methods plot_prices() and plot_returns().mp4 13.3 MB
12. Strategy Optimization and Forward Testing/10. The Backtester Class explained (Part 3).mp4 13.3 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/32. Slicing Rows and Columns with iloc (position-based indexing).mp4 13.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/50. Filtering DataFrames by many Conditions (OR).mp4 13.1 MB
26. Appendix 1 Python (& Finance) Basics/38. Mutable vs. immutable Objects (Part 2).mp4 13.0 MB
10. What is a Trading Strategy/8. A simple Buy and Hold Strategy.mp4 12.9 MB
26. Appendix 1 Python (& Finance) Basics/9. More on Variables and Memory.mp4 12.8 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/34. Margin Trading and Levered Returns (Part 1).mp4 12.7 MB
26. Appendix 1 Python (& Finance) Basics/28. Floats.mp4 12.6 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/11. Take-Profit Orders.mp4 12.6 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/3. Registration and Identity Verification.mp4 12.5 MB
27. Appendix 2 User-defined Functions/5. How to unpack Iterables.mp4 12.5 MB
07. Trading with Python and the Binance API - an Introduction/28. Placing a Market Sell Order.mp4 12.5 MB
26. Appendix 1 Python (& Finance) Basics/50. Calculate a Project´s Payback Period.mp4 12.4 MB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/6. Deposits and Withdrawals (Part 2).mp4 12.4 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/15. Summary and Debugging Flow-Chart.mp4 12.2 MB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/9. How to start Trading sessions with Batch (.bat) Files.mp4 12.2 MB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/8. How to run Python Scripts in a Windows Command Prompt.mp4 12.1 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/4. Vectorized Operations with Numpy Arrays.mp4 12.1 MB
01. Getting Started/7. Introduction to Role Plays (NEW Feature!).mp4 11.8 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/9. TypeErrors and ValueErrors.mp4 11.4 MB
07. Trading with Python and the Binance API - an Introduction/25. Creating a Connection to the Spot Testnet.mp4 11.2 MB
26. Appendix 1 Python (& Finance) Basics/6. Introduction to Variables.mp4 11.1 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/58. Histogramms (Part 1).mp4 11.0 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/16. Creating and Importing Python Modules (.py).mp4 11.0 MB
07. Trading with Python and the Binance API - an Introduction/23. The Binance Spot Test Network.mp4 10.9 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/18. Recap Changing Elements in a Numpy Array slice.mp4 10.9 MB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/7. The method log_returns().mp4 10.9 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/7. Numpy Array Methods and Attributes.mp4 10.8 MB
09. +++ PART 2 Algorithmic Trading Spot Trading +++/1. Overview.mp4 10.8 MB
26. Appendix 1 Python (& Finance) Basics/29. How to round Floats (and Integers) with round().mp4 10.8 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/6. View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4 10.7 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/15. 2-dimensional Numpy Arrays.mp4 10.7 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/21. Intro to Tabular Data Pandas.mp4 10.6 MB
07. Trading with Python and the Binance API - an Introduction/22. Placing a Test Order.mp4 10.5 MB
18. Futures Trading on Binance A-Z/19. The Funding Rate explained (Part 3).mp4 10.5 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/46. Changing Column Labels.mp4 10.5 MB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/7. Getting the Instance Ready for Algorithmic Trading.mp4 10.3 MB
26. Appendix 1 Python (& Finance) Basics/31. Lists and Element-wise Operations.mp4 10.3 MB
22. API Trading with CCXT/3. Preparations.mp4 10.2 MB
14. A Long-Short Trading Strategy A-Z/2. Getting started.mp4 10.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/49. Filtering DataFrames by many Conditions (AND).mp4 10.1 MB
26. Appendix 1 Python (& Finance) Basics/3. Calculate Present Values (PV) with Python Discounting.mp4 10.1 MB
22. API Trading with CCXT/15. How to connect to Testnets (Sandbox mode).mp4 9.8 MB
13. Implementation and Automation of Trading Strategies with Binance/6. NEW BinanceSocketManager (August 2023 Update).mp4 9.8 MB
26. Appendix 1 Python (& Finance) Basics/10. Variables - Dos, Don´ts and Conventions.mp4 9.7 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/9. Boolean Arrays and Conditional Filtering.mp4 9.7 MB
01. Getting Started/2. Did you know... (a Sneak Preview on Crypto Trading).mp4 9.6 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/14. How to work with nested Lists.mp4 9.5 MB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/1. Introduction and Motivation.mp4 9.5 MB
26. Appendix 1 Python (& Finance) Basics/18. The range Object - another Iterable.mp4 9.5 MB
01. Getting Started/1. Welcome and Introduction.mp4 9.4 MB
12. Strategy Optimization and Forward Testing/4. Strategy Optimization (Part 2).mp4 9.4 MB
26. Appendix 1 Python (& Finance) Basics/43. String Replacement.mp4 9.3 MB
26. Appendix 1 Python (& Finance) Basics/32. Slicing Lists.mp4 9.3 MB
26. Appendix 1 Python (& Finance) Basics/11. The print() Function.mp4 9.1 MB
26. Appendix 1 Python (& Finance) Basics/5. Calculate Interest Rates and Returns with Python.mp4 9.0 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/8. Numpy Universal Functions.mp4 8.9 MB
07. Trading with Python and the Binance API - an Introduction/18. Running a Python Script.mp4 8.6 MB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/3. Amazon Web Services (AWS) - Overview and how to create a Free Trial Account.mp4 8.5 MB
26. Appendix 1 Python (& Finance) Basics/1. Intro to the Time Value of Money (TVM) Concept (Theory).mp4 8.5 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/27. Short Selling and Short Position Returns (Part 1).mp4 8.3 MB
12. Strategy Optimization and Forward Testing/2. Getting started.mp4 8.1 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/13. External Factors and Issues.mp4 8.1 MB
02. +++ PART 1 Fundamentals of Trading, Binance and Python for Finance +++/1. PART 1 Overview.mp4 8.1 MB
26. Appendix 1 Python (& Finance) Basics/21. Calculate an Investment Project´s NPV.mp4 8.0 MB
26. Appendix 1 Python (& Finance) Basics/16. Indexing Lists.mp4 8.0 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/8. Misuse of function names and keywords.mp4 7.5 MB
26. Appendix 1 Python (& Finance) Basics/35. Sorting and Reversing Lists.mp4 7.2 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/14. Errors related to the course content (Transcription Errors).mp4 7.2 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/1. Introduction.mp4 7.1 MB
26. Appendix 1 Python (& Finance) Basics/2. Calculate Future Values (FV) with Python Compounding.mp4 7.1 MB
26. Appendix 1 Python (& Finance) Basics/4. Interest Rates and Returns (Theory).mp4 7.0 MB
26. Appendix 1 Python (& Finance) Basics/34. Changing Elements in Lists.mp4 7.0 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/7. Indentation Errors.mp4 6.8 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/3. Indexing and Slicing Numpy Arrays.mp4 6.6 MB
26. Appendix 1 Python (& Finance) Basics/45. Operators (Theory).mp4 6.2 MB
25. +++ APPENDIX Python Crash Course +++/1. Introduction and Overview.mp4 6.1 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/30. Zero-based Indexing and Negative Indexing.mp4 6.1 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/54. Exporting DataFrames to csv.mp4 6.1 MB
26. Appendix 1 Python (& Finance) Basics/27. Integers.mp4 6.0 MB
27. Appendix 2 User-defined Functions/7. How to return many results.mp4 5.9 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/16. Log Returns.mp4 5.9 MB
26. Appendix 1 Python (& Finance) Basics/13. TVM Problems with many Cashflows.mp4 5.9 MB
26. Appendix 1 Python (& Finance) Basics/7. Excursus How to add inline comments.mp4 5.8 MB
14. A Long-Short Trading Strategy A-Z/3. Recap Explanatory Data Analysis and generating a Trading Idea.mp4 5.7 MB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/2. Installing and importing required LibrariesPackages.mp4 5.6 MB
26. Appendix 1 Python (& Finance) Basics/24. The Data Type Hierarchy (Theory).mp4 5.2 MB
26. Appendix 1 Python (& Finance) Basics/44. Booleans.mp4 5.2 MB
19. Backtesting Futures Trading Strategies with Leverage/2. Getting the Data.mp4 5.0 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/17. How to slice 2-dim Numpy Arrays (Part 2).mp4 4.6 MB
05. Installing Python and Jupyter Notebooks/5. Tips for Python Beginners.mp4 4.5 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/29. Selecting one Column with the dot notation.mp4 4.4 MB
05. Installing Python and Jupyter Notebooks/1. Introduction.mp4 4.2 MB
26. Appendix 1 Python (& Finance) Basics/14. Intro to Python Lists.mp4 4.2 MB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/67. Introduction to GroupBy Operations.mp4 4.0 MB
13. Implementation and Automation of Trading Strategies with Binance/2. Getting started.mp4 4.0 MB
26. Appendix 1 Python (& Finance) Basics/15. Zero-based Indexing and negative Indexing in Python (Theory).mp4 3.8 MB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/10. Which Role Play do you like most.mp4 3.2 MB
18. Futures Trading on Binance A-Z/1. Creating an account on Binance Futures Testnet.mp4 3.1 MB
26. Appendix 1 Python (& Finance) Basics/25. Excursus Dynamic Typing in Python.mp4 2.9 MB
26. Appendix 1 Python (& Finance) Basics/8. Variables and Memory (Theory).mp4 2.8 MB
19. Backtesting Futures Trading Strategies with Leverage/4. Recap Leverage and levered Returns.mp4 2.8 MB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/3. Major reasons for Coding Errors.mp4 2.4 MB
25. +++ APPENDIX Python Crash Course +++/2. Appendix_Materials.zip 1.2 MB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/7. Spot_vs_Futures.pdf 1.1 MB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/1. Trading_vs_Investing.pdf 839.2 KB
09. +++ PART 2 Algorithmic Trading Spot Trading +++/2. Part2_Materials.zip 768.8 KB
31. What´s next (outlook and additional resources)/1. 2022-02-10_08-17-39-193b12028228253b3d1611e696628424.png 766.6 KB
17. +++ PART 3 Algorithmic Trading Futures Trading +++/2. Part3_Materials.zip 613.6 KB
16. Ultimate Homework Challenge Create, Test and Implement your Strategy!/2. Homework_Challenge.zip 604.6 KB
02. +++ PART 1 Fundamentals of Trading, Binance and Python for Finance +++/2. Part1_Materials.zip 604.2 KB
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04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/8. trade_analysis.xlsx 89.1 KB
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03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/9. 2021-08-10_06-11-47-c9a130430086e1d9e936d8688f9108c6.png 63.4 KB
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28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/23.1 Loading a CSV-file into Pandas.html 30.4 KB
21. +++ PART 4 API Trading with other Exchanges (Bybit, Kraken & co.) +++/2. Part4_Materials.zip 27.2 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/37.2 Final Test.html 23.8 KB
31. What´s next (outlook and additional resources)/1. Bonus Lecture.html 23.5 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/20.1 Mid-Section Test.html 23.0 KB
07. Trading with Python and the Binance API - an Introduction/1.1 How to maximize your learning experience.html 17.3 KB
05. Installing Python and Jupyter Notebooks/4. How to work with Jupyter Notebooks.vtt 17.2 KB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/1. Investing vs. (Algorithmic) Trading.vtt 15.3 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/62. Categorical Seaborn Plots.vtt 15.0 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/40. Analyzing Numerical Series with unique(), nunique() and value_counts().vtt 14.3 KB
07. Trading with Python and the Binance API - an Introduction/14. How to load Historical Price & Volume Data (Part 2).vtt 13.7 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/25. First Data Inspection.vtt 12.7 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/22. (Non-) Normality of Financial Returns.vtt 12.7 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/57. Customization of Plots.vtt 12.7 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/3. Loading Financial Data from the Web.vtt 12.6 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/63. Seaborn Regression Plots.vtt 12.5 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/4. Initial Inspection and Visualization.vtt 12.2 KB
20. Implementing and automating Futures Trading on Binance/3. The Binance Futures API.vtt 12.1 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/1. Binance.com and Binance.US at a first glance.vtt 12.1 KB
18. Futures Trading on Binance A-Z/9. Margin Requirements and Liquidation (Part 2).vtt 11.7 KB
26. Appendix 1 Python (& Finance) Basics/39. Coding Exercise 3.vtt 11.7 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/53. Handling NA Values missing Values.vtt 11.6 KB
05. Installing Python and Jupyter Notebooks/3. How to open Jupyter Notebooks.vtt 11.6 KB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/2. Asset Classes, Money and (Crypto-) Currencies.vtt 11.4 KB
16. Ultimate Homework Challenge Create, Test and Implement your Strategy!/1. Introduction.vtt 11.3 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/48. Filtering DataFrames (one Condition).vtt 11.3 KB
07. Trading with Python and the Binance API - an Introduction/17. Streaming real-time Market Data (Part 1).vtt 11.2 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/1. Introduction to OOP and examples for Classes.vtt 11.1 KB
13. Implementation and Automation of Trading Strategies with Binance/12. Trade Monitoring and Reporting.vtt 11.1 KB
01. Getting Started/3. How to get the best out of this course.vtt 11.0 KB
29. Appendix 4 Advanced Pandas Time Series Topics/2. Filling NA Values with bfill, ffill and interpolation.vtt 10.8 KB
12. Strategy Optimization and Forward Testing/5. Putting everything together a Backtester Class.vtt 10.8 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/45. Changing Row Index with set_index() and reset_index().vtt 10.6 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/7. The first Spot Trade (buy Bitcoin).vtt 10.6 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/26. Make it easy TAB Completion and Tooltip.vtt 10.6 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/70. split-apply-combine.vtt 10.6 KB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/8. Spot Trading vs. Derivatives (Futures) Trading (Part 2).vtt 10.6 KB
12. Strategy Optimization and Forward Testing/3. Strategy Optimization (Part 1).vtt 10.5 KB
19. Backtesting Futures Trading Strategies with Leverage/5. Levered Returns a more realistic approach.vtt 10.4 KB
26. Appendix 1 Python (& Finance) Basics/49. Keywords pass, continue and break.vtt 10.3 KB
18. Futures Trading on Binance A-Z/3. The first Futures Trade (Long).vtt 10.3 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/31. Selecting Rows with iloc (position-based indexing).vtt 10.3 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/2. Test your debugging skills!.vtt 10.2 KB
26. Appendix 1 Python (& Finance) Basics/36. Adding and removing Elements fromto Lists.vtt 10.1 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/35. Slicing Rows and Columns with loc (label-based indexing).vtt 10.1 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.vtt 10.0 KB
23. API Trading with Bybit/8. A Bybit Spot Trading Bot.vtt 10.0 KB
26. Appendix 1 Python (& Finance) Basics/12. Coding Exercise 1.vtt 9.9 KB
07. Trading with Python and the Binance API - an Introduction/10. Retrieving general accountsystem Info (Part 1).vtt 9.8 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/21. Comparing the Performance of Financial Instruments.vtt 9.8 KB
26. Appendix 1 Python (& Finance) Basics/47. Coding Exercise 4.vtt 9.7 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/8. Trade Analysis and Trading FeesCommissions.vtt 9.7 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/52. Intro to NA Values missing Values.vtt 9.6 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/43. Sorting of Series and Introduction to the inplace - parameter.vtt 9.6 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/8. Price changes and Financial Returns.vtt 9.6 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Visualization with Matplotlib (Intro).vtt 9.6 KB
26. Appendix 1 Python (& Finance) Basics/37. Mutable vs. immutable Objects (Part 1).vtt 9.5 KB
19. Backtesting Futures Trading Strategies with Leverage/7. How to adjust the Framework to (levered) Futures Trading.vtt 9.4 KB
26. Appendix 1 Python (& Finance) Basics/48. Conditional Statements.vtt 9.3 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/65. Seaborn Heatmaps.vtt 9.3 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/22. Create your very first Pandas DataFrame (from csv).vtt 9.3 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/17. Introduction to Charting and Technical Indicators.vtt 9.3 KB
22. API Trading with CCXT/7. Loading Historical Data (Part 1).vtt 9.2 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/25. Rolling Statistics.vtt 9.2 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/6. The method get_data().vtt 9.1 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/35. Margin Trading and Levered Returns (Part 2).vtt 9.0 KB
26. Appendix 1 Python (& Finance) Basics/42. Intro to Strings.vtt 8.9 KB
11. A Long-only Strategy based on Price & Volume Data/3. Explanatory Data Analysis Financial Returns and Trading Volume (Part 1).vtt 8.9 KB
26. Appendix 1 Python (& Finance) Basics/22. Coding Exercise 2.vtt 8.9 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/68. Understanding the GroupBy Object.vtt 8.8 KB
27. Appendix 2 User-defined Functions/8. Scope - easily explained.vtt 8.8 KB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/5. Why using Binance.vtt 8.8 KB
26. Appendix 1 Python (& Finance) Basics/17. For Loops - Iterating over Lists.vtt 8.7 KB
11. A Long-only Strategy based on Price & Volume Data/7. Trading Costs.vtt 8.7 KB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/7. Spot Trading vs. Derivatives (Futures) Trading (Part 1).vtt 8.6 KB
26. Appendix 1 Python (& Finance) Basics/20. The Net Present Value - NPV (Theory).vtt 8.5 KB
26. Appendix 1 Python (& Finance) Basics/46. Comparison, Logical and Membership Operators in Action.vtt 8.5 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/55. Summary Statistics and Accumulations.vtt 8.5 KB
13. Implementation and Automation of Trading Strategies with Binance/10. Adding a Long-Only Trading Strategy.vtt 8.5 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/14. Discrete Compounding.vtt 8.5 KB
22. API Trading with CCXT/13. Getting Historical Data and Streaming live Data.vtt 8.4 KB
22. API Trading with CCXT/18. A CCXT Spot Trading Bot.vtt 8.4 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/51. Advanced Filtering with between(), isin() and ~.vtt 8.3 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/13. Inheritance.vtt 8.3 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/2. Numpy Arrays.vtt 8.3 KB
22. API Trading with CCXT/20. A CCXT Futures Trading Bot.vtt 8.3 KB
18. Futures Trading on Binance A-Z/14. Position Mode One-way (Netting) vs. Hedging.vtt 8.2 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/1. Modules, Packages and Libraries - No need to reinvent the Wheel.vtt 8.1 KB
22. API Trading with CCXT/10. Introduction to Multithreaded Programming.vtt 8.1 KB
11. A Long-only Strategy based on Price & Volume Data/5. Formulating a Long-only Strategy based on Price & Volume Data.vtt 8.1 KB
01. Getting Started/4. Student FAQ.html 8.0 KB
24. API Trading with FTX (now liquidated!) - another showcase/8. Futures Trading on FTX.vtt 8.0 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/5. The special method __init__().vtt 8.0 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/5. Deposits and Withdrawals (Part 1).vtt 8.0 KB
26. Appendix 1 Python (& Finance) Basics/19. Calculate FV and PV for many Cashflows.vtt 8.0 KB
18. Futures Trading on Binance A-Z/8. Margin Requirements and Liquidation (Part 1).vtt 7.9 KB
26. Appendix 1 Python (& Finance) Basics/51. Introduction to while loops.vtt 7.9 KB
18. Futures Trading on Binance A-Z/13. Margin Mode Cross vs. Isolated.vtt 7.9 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/28. Introduction to Currencies (Forex) and Trading.vtt 7.8 KB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.vtt 7.8 KB
07. Trading with Python and the Binance API - an Introduction/27. Placing a Market Buy Order.vtt 7.8 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/24. Resampling Smoothing of Financial Data.vtt 7.8 KB
23. API Trading with Bybit/9. Futures Trading on Bybit (Orders and Trades).vtt 7.8 KB
05. Installing Python and Jupyter Notebooks/2. Download and Install Anaconda.vtt 7.7 KB
11. A Long-only Strategy based on Price & Volume Data/6. Strategy Backtesting.vtt 7.7 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/15. Summary and Debugging Flow-Chart.vtt 7.7 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/32. Covariance and Correlation.vtt 7.7 KB
14. A Long-Short Trading Strategy A-Z/6. Strategy Backtesting.vtt 7.7 KB
20. Implementing and automating Futures Trading on Binance/5. Placing Market Orders (Part 1).vtt 7.6 KB
20. Implementing and automating Futures Trading on Binance/12. A Futures Trading Bot (Part 2).vtt 7.6 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/17. Coding Exercise Create your own Class.vtt 7.6 KB
20. Implementing and automating Futures Trading on Binance/11. A Futures Trading Bot (Part 1).vtt 7.5 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/41. Analyzing non-numerical Series with unique(), nunique(), value_counts().vtt 7.5 KB
13. Implementation and Automation of Trading Strategies with Binance/11. Placing Orders and Executing Trades.vtt 7.4 KB
17. +++ PART 3 Algorithmic Trading Futures Trading +++/1. Overview.vtt 7.4 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/60. Scatterplots.vtt 7.4 KB
26. Appendix 1 Python (& Finance) Basics/40. Tuples.vtt 7.4 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/14. Bid-Ask-Spread and Slippage.vtt 7.3 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/69. Splitting with many Keys.vtt 7.2 KB
13. Implementation and Automation of Trading Strategies with Binance/13. How to setautomate the stop of a Trading Session.vtt 7.2 KB
07. Trading with Python and the Binance API - an Introduction/13. How to load Historical Price & Volume Data (Part 1).vtt 7.2 KB
19. Backtesting Futures Trading Strategies with Leverage/1. Introduction.vtt 7.1 KB
26. Appendix 1 Python (& Finance) Basics/41. Dictionaries.vtt 7.1 KB
07. Trading with Python and the Binance API - an Introduction/12. Getting (current) Market Data.vtt 7.1 KB
26. Appendix 1 Python (& Finance) Basics/9. More on Variables and Memory.vtt 7.1 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/5. Omitting cells, changing the sequence and more.vtt 7.1 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/59. Histogramms (Part 2).vtt 7.0 KB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/4. Why Trading Cryptocurrencies.vtt 7.0 KB
07. Trading with Python and the Binance API - an Introduction/31. How to create & run a first (simple) Trading Bot.vtt 7.0 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/37. Summary, Best Practices and Outlook.vtt 7.0 KB
14. A Long-Short Trading Strategy A-Z/8. A Long-Short Trading Framework.vtt 7.0 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/24. Pandas Display Options and the methods head() & tail().vtt 6.9 KB
13. Implementation and Automation of Trading Strategies with Binance/8. Working with historical data and real-time data (Part 1).vtt 6.9 KB
22. API Trading with CCXT/2. Introduction.vtt 6.8 KB
18. Futures Trading on Binance A-Z/18. The Funding Rate explained (Part 2).vtt 6.8 KB
27. Appendix 2 User-defined Functions/4. The Default Argument None.vtt 6.8 KB
14. A Long-Short Trading Strategy A-Z/11. Running a Python Trader Script.vtt 6.8 KB
10. What is a Trading Strategy/4. How to create your own Trading Strategies.vtt 6.8 KB
18. Futures Trading on Binance A-Z/4. Trade Analysis.vtt 6.7 KB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/2. Demonstration AWS EC2 for Algorithmic Trading live in action.vtt 6.7 KB
26. Appendix 1 Python (& Finance) Basics/26. Build-in Functions.vtt 6.7 KB
07. Trading with Python and the Binance API - an Introduction/21. Streaming and collecting real-time Candles.vtt 6.7 KB
23. API Trading with Bybit/7. Spot Trading (Orders and Trades).vtt 6.7 KB
29. Appendix 4 Advanced Pandas Time Series Topics/1. Helpful DatetimeIndex Attributes and Methods.vtt 6.7 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/12. Stop-Loss Orders.vtt 6.7 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/11. Investment Multiple and CAGR.vtt 6.6 KB
16. Ultimate Homework Challenge Create, Test and Implement your Strategy!/4. The Solution explained (Part 2).vtt 6.6 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/15. Adding meaningful Docstrings.vtt 6.6 KB
27. Appendix 2 User-defined Functions/1. Defining your first user-defined Function.vtt 6.6 KB
26. Appendix 1 Python (& Finance) Basics/23. Data Types in Action.vtt 6.6 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/12. Problems with the Python Installation.vtt 6.5 KB
27. Appendix 2 User-defined Functions/2. What´s the difference between Positional Arguments vs. Keyword Arguments.vtt 6.5 KB
01. Getting Started/6. Course Overview.vtt 6.5 KB
10. What is a Trading Strategy/5. Article The Lifecycle of a Trading Strategy.html 6.5 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/10. Getting help on StackOverflow.com.vtt 6.5 KB
07. Trading with Python and the Binance API - an Introduction/29. Placing Limit Orders.vtt 6.5 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/10. Advanced Filtering & Bitwise Operators.vtt 6.5 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/14. Inheritance and the super() Function.vtt 6.5 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/10. Limit Orders vs. Market Orders.vtt 6.4 KB
24. API Trading with FTX (now liquidated!) - another showcase/9. An FTX Futures Trading Bot.vtt 6.4 KB
18. Futures Trading on Binance A-Z/17. The Funding Rate explained (Part 1).vtt 6.4 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/17. Simple Returns vs Log Returns ( Part 1).vtt 6.4 KB
23. API Trading with Bybit/5. API Trading with Bybit and CCXT - First Steps.vtt 6.4 KB
22. API Trading with CCXT/17. Creating Orders and analyzing Trades (Futures).vtt 6.4 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/6. Normalizing Time Series to a Base Value (100).vtt 6.4 KB
26. Appendix 1 Python (& Finance) Basics/1. Intro to the Time Value of Money (TVM) Concept (Theory).vtt 6.4 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/3. Registration and Identity Verification.vtt 6.3 KB
07. Trading with Python and the Binance API - an Introduction/11. Retrieving general accountsystem Info (Part 2).vtt 6.3 KB
10. What is a Trading Strategy/1. Trading Strategies - Overview.vtt 6.3 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/16. How to slice 2-dim Numpy Arrays (Part 1).vtt 6.3 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. First Steps with Seaborn.vtt 6.2 KB
27. Appendix 2 User-defined Functions/3. How to work with Default Arguments.vtt 6.2 KB
22. API Trading with CCXT/11. Streaming real-time Data (Part 2).vtt 6.1 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/44. First Steps with Pandas Index Objects.vtt 6.1 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/9. Reward and Risk of Financial Instruments.vtt 6.1 KB
26. Appendix 1 Python (& Finance) Basics/28. Floats.vtt 6.0 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/5. Changing Elements in Numpy Arrays & Mutability.vtt 5.9 KB
07. Trading with Python and the Binance API - an Introduction/26. Spot Testnet API - Overview.vtt 5.9 KB
14. A Long-Short Trading Strategy A-Z/1. Introduction.vtt 5.9 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/12. Adding more methods and performance metrics.vtt 5.9 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/15. Continuous Compounding.vtt 5.9 KB
23. API Trading with Bybit/10. A Bybit Futures Trading Bot.vtt 5.9 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/18. Simple Returns vs Log Returns ( Part 2).vtt 5.9 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/4. The most commonly made Errors at a glance.vtt 5.8 KB
20. Implementing and automating Futures Trading on Binance/10. Streaming Future Prices in real-time.vtt 5.8 KB
18. Futures Trading on Binance A-Z/6. The impact of Leverage.vtt 5.7 KB
19. Backtesting Futures Trading Strategies with Leverage/6. The Futures Backtesting Class live in action.vtt 5.7 KB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/3. What is a Stable Coin.vtt 5.7 KB
26. Appendix 1 Python (& Finance) Basics/30. More on Lists.vtt 5.7 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/4. How to instantly buy your first Cryptos.vtt 5.7 KB
13. Implementation and Automation of Trading Strategies with Binance/7. Creating the LongOnlyTrader Class.vtt 5.7 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/28. Selecting Columns.vtt 5.7 KB
22. API Trading with CCXT/4. First Steps with CCXT.vtt 5.7 KB
26. Appendix 1 Python (& Finance) Basics/6. Introduction to Variables.vtt 5.7 KB
26. Appendix 1 Python (& Finance) Basics/29. How to round Floats (and Integers) with round().vtt 5.7 KB
01. Getting Started/2. Did you know... (a Sneak Preview on Crypto Trading).vtt 5.6 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/12. Creating Numpy Arrays from Scratch.vtt 5.6 KB
27. Appendix 2 User-defined Functions/6. Sequences as arguments and args.vtt 5.6 KB
24. API Trading with FTX (now liquidated!) - another showcase/2. Introduction.vtt 5.6 KB
19. Backtesting Futures Trading Strategies with Leverage/8. The impact of Leverage on Trading Performance.vtt 5.6 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/6. Deposits and Withdrawals (Part 2).vtt 5.5 KB
10. What is a Trading Strategy/9. Performance Measurement.vtt 5.5 KB
14. A Long-Short Trading Strategy A-Z/5. A Long-Short Backtesting Framework.vtt 5.4 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/66. Removing Columns.vtt 5.4 KB
23. API Trading with Bybit/6. What you should consider for Backtesting.vtt 5.4 KB
14. A Long-Short Trading Strategy A-Z/4. Defining the Long-Short Strategy.vtt 5.4 KB
22. API Trading with CCXT/9. Streaming real-time Data (Part 1).vtt 5.4 KB
19. Backtesting Futures Trading Strategies with Leverage/3. Backtesting without Leverage and Trading Costs in the Futures Market.vtt 5.4 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/9. The methods plot_prices() and plot_returns().vtt 5.4 KB
13. Implementation and Automation of Trading Strategies with Binance/5. Recap Streaming and Collecting Real-Time Candles.vtt 5.3 KB
26. Appendix 1 Python (& Finance) Basics/18. The range Object - another Iterable.vtt 5.3 KB
26. Appendix 1 Python (& Finance) Basics/38. Mutable vs. immutable Objects (Part 2).vtt 5.3 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/7. Numpy Array Methods and Attributes.vtt 5.3 KB
22. API Trading with CCXT/6. The Public API.vtt 5.3 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/13. The Order Book.vtt 5.3 KB
22. API Trading with CCXT/8. Loading Historical Data (Part 2).vtt 5.2 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/11. Determining a Project´s Payback Period with np.where().vtt 5.2 KB
26. Appendix 1 Python (& Finance) Basics/4. Interest Rates and Returns (Theory).vtt 5.2 KB
20. Implementing and automating Futures Trading on Binance/6. Trade Analysis - Trade and Income History.vtt 5.1 KB
20. Implementing and automating Futures Trading on Binance/4. How to change Settings and Modes.vtt 5.1 KB
24. API Trading with FTX (now liquidated!) - another showcase/5. FTX and CCXT - an Overview.vtt 5.1 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/7. Coding Challenge #1.vtt 5.1 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/23. Annualizing Return and Risk.vtt 5.1 KB
07. Trading with Python and the Binance API - an Introduction/15. Excursus Loading Historical Data (csv) from the Website.vtt 5.1 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/9. Boolean Arrays and Conditional Filtering.vtt 5.0 KB
23. API Trading with Bybit/4. More Preparations for (API) Trading with Bybit and CCXT.vtt 5.0 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/6. View vs. copy - potential Pitfalls when slicing Numpy Arrays.vtt 5.0 KB
29. Appendix 4 Advanced Pandas Time Series Topics/4. Timezones and Converting (Part 2).vtt 5.0 KB
11. A Long-only Strategy based on Price & Volume Data/1. Introduction.vtt 5.0 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/50. Filtering DataFrames by many Conditions (OR).vtt 5.0 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/21. Intro to Tabular Data Pandas.vtt 5.0 KB
16. Ultimate Homework Challenge Create, Test and Implement your Strategy!/3. The Solution explained (Part 1).vtt 4.9 KB
26. Appendix 1 Python (& Finance) Basics/50. Calculate a Project´s Payback Period.vtt 4.9 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/34. Margin Trading and Levered Returns (Part 1).vtt 4.9 KB
11. A Long-only Strategy based on Price & Volume Data/2. Data Preparation.vtt 4.9 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/19. How to perform row-wise and column-wise Operations.vtt 4.9 KB
10. What is a Trading Strategy/3. Trading Strategies for Cryptocurrencies (best practices).vtt 4.9 KB
24. API Trading with FTX (now liquidated!) - another showcase/6. What you should consider for Backtesting.vtt 4.9 KB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/10. How to schedule Trading sessions with the Task Scheduler.vtt 4.8 KB
27. Appendix 2 User-defined Functions/5. How to unpack Iterables.vtt 4.8 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/14. How to work with nested Lists.vtt 4.8 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/49. Filtering DataFrames by many Conditions (AND).vtt 4.8 KB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/6. Alternative Exchanges (Bybit, Kraken, etc.).vtt 4.8 KB
29. Appendix 4 Advanced Pandas Time Series Topics/3. Timezones and Converting (Part 1).vtt 4.8 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/32. Slicing Rows and Columns with iloc (position-based indexing).vtt 4.8 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/58. Histogramms (Part 1).vtt 4.8 KB
11. A Long-only Strategy based on Price & Volume Data/4. Explanatory Data Analysis Financial Returns and Trading Volume (Part 2).vtt 4.7 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/3. The Financial Analysis Class live in action (Part 1).vtt 4.7 KB
12. Strategy Optimization and Forward Testing/7. Backtesting & Forward Testing (Part 2).vtt 4.7 KB
26. Appendix 1 Python (& Finance) Basics/31. Lists and Element-wise Operations.vtt 4.7 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/42. The copy() method.vtt 4.7 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/29. Short Selling and Short Position Returns (Part 2).vtt 4.7 KB
26. Appendix 1 Python (& Finance) Basics/45. Operators (Theory).vtt 4.7 KB
18. Futures Trading on Binance A-Z/15. How to work with many open positions.vtt 4.7 KB
12. Strategy Optimization and Forward Testing/6. Backtesting & Forward Testing (Part 1).vtt 4.7 KB
22. API Trading with CCXT/14. The Private API.vtt 4.7 KB
20. Implementing and automating Futures Trading on Binance/8. Getting Historical Futures Market Data.vtt 4.7 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/6. IndexErrors.vtt 4.6 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/13. External Factors and Issues.vtt 4.6 KB
24. API Trading with FTX (now liquidated!) - another showcase/7. An FTX Spot Trading Bot.vtt 4.6 KB
26. Appendix 1 Python (& Finance) Basics/11. The print() Function.vtt 4.6 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/14. Errors related to the course content (Transcription Errors).vtt 4.5 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/15. Total Costs of a Trade (visible vs. hidden Costs).vtt 4.5 KB
24. API Trading with FTX (now liquidated!) - another showcase/4. Creating accounts on FTX.com and FTX.us.vtt 4.4 KB
07. Trading with Python and the Binance API - an Introduction/7. Connecting to the APIServer.vtt 4.4 KB
26. Appendix 1 Python (& Finance) Basics/32. Slicing Lists.vtt 4.4 KB
22. API Trading with CCXT/16. Creating Orders and analyzing Trades (Spot).vtt 4.4 KB
23. API Trading with Bybit/3. Creating accounts on bybit.com and testnet.bybit.com.vtt 4.4 KB
22. API Trading with CCXT/19. Excursus Generalization.vtt 4.4 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/39. First Steps with Pandas Series.vtt 4.3 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/30. Short Selling and Short Position Returns (Part 3).vtt 4.3 KB
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/9. Article Algorithmic Trading 101 and how to start.html 4.3 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/12. Compound Returns & Geometric Mean Return.vtt 4.3 KB
26. Appendix 1 Python (& Finance) Basics/43. String Replacement.vtt 4.3 KB
07. Trading with Python and the Binance API - an Introduction/22. Placing a Test Order.vtt 4.3 KB
10. What is a Trading Strategy/2. Article More on Trading Strategies.html 4.2 KB
26. Appendix 1 Python (& Finance) Basics/5. Calculate Interest Rates and Returns with Python.vtt 4.2 KB
10. What is a Trading Strategy/8. A simple Buy and Hold Strategy.vtt 4.2 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/47. Renaming Index & Column Labels with rename().vtt 4.2 KB
26. Appendix 1 Python (& Finance) Basics/10. Variables - Dos, Don´ts and Conventions.vtt 4.2 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/1. Introduction and Overview.vtt 4.2 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/8. Numpy Universal Functions.vtt 4.2 KB
12. Strategy Optimization and Forward Testing/8. The Backtester Class explained (Part 1).vtt 4.2 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/15. 2-dimensional Numpy Arrays.vtt 4.1 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/16. Liquidity and Market Depth.vtt 4.1 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/4. Vectorized Operations with Numpy Arrays.vtt 4.1 KB
07. Trading with Python and the Binance API - an Introduction/23. The Binance Spot Test Network.vtt 4.1 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/16. Creating and Importing Python Modules (.py).vtt 4.1 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/10. Encapsulation and protected Attributes.vtt 4.0 KB
18. Futures Trading on Binance A-Z/5. A trade with Leverage.vtt 4.0 KB
26. Appendix 1 Python (& Finance) Basics/35. Sorting and Reversing Lists.vtt 4.0 KB
18. Futures Trading on Binance A-Z/2. First Steps.vtt 3.9 KB
26. Appendix 1 Python (& Finance) Basics/24. The Data Type Hierarchy (Theory).vtt 3.9 KB
18. Futures Trading on Binance A-Z/12. Stop Loss (SL) and Take Profit (TP) Orders.vtt 3.9 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/18. Recap Changing Elements in a Numpy Array slice.vtt 3.9 KB
12. Strategy Optimization and Forward Testing/11. The Backtester Class explained (Part 4).vtt 3.8 KB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/5. How to connect to your EC2 Instance.vtt 3.8 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/33. Portfolios and Portfolio Returns.vtt 3.8 KB
01. Getting Started/7. Introduction to Role Plays (NEW Feature!).vtt 3.8 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/9. TypeErrors and ValueErrors.vtt 3.8 KB
18. Futures Trading on Binance A-Z/10. Excursus The Futures Calculator.vtt 3.8 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/11. Take-Profit Orders.vtt 3.8 KB
12. Strategy Optimization and Forward Testing/4. Strategy Optimization (Part 2).vtt 3.8 KB
26. Appendix 1 Python (& Finance) Basics/13. TVM Problems with many Cashflows.vtt 3.7 KB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/9. How to start Trading sessions with Batch (.bat) Files.vtt 3.7 KB
22. API Trading with CCXT/12. Streaming real-time Data (Part 3).vtt 3.7 KB
26. Appendix 1 Python (& Finance) Basics/2. Calculate Future Values (FV) with Python Compounding.vtt 3.7 KB
18. Futures Trading on Binance A-Z/11. How to add Stop Loss to an open position.vtt 3.7 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/4. The Financial Analysis Class live in action (Part 2).vtt 3.7 KB
18. Futures Trading on Binance A-Z/16. Introduction to the Funding Rate.vtt 3.7 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/7. Indentation Errors.vtt 3.6 KB
07. Trading with Python and the Binance API - an Introduction/4. Getting the API Key & other Preparations.vtt 3.6 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/30. Zero-based Indexing and Negative Indexing.vtt 3.5 KB
26. Appendix 1 Python (& Finance) Basics/27. Integers.vtt 3.5 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/8. String representation and the special method __repr__().vtt 3.5 KB
18. Futures Trading on Binance A-Z/7. A Short Trade.vtt 3.5 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/46. Changing Column Labels.vtt 3.5 KB
16. Ultimate Homework Challenge Create, Test and Implement your Strategy!/5. The Solution explained (Part 3).vtt 3.4 KB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/8. How to run Python Scripts in a Windows Command Prompt.vtt 3.4 KB
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/9. Another Spot Trade (sell Bitcoin).vtt 3.4 KB
07. Trading with Python and the Binance API - an Introduction/20. Streaming real-time Market Data (Part 2).vtt 3.4 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Selecting Rows with loc (label-based indexing).vtt 3.4 KB
14. A Long-Short Trading Strategy A-Z/9. Implementing and Automating a Long-Short Trading Strategy.vtt 3.4 KB
26. Appendix 1 Python (& Finance) Basics/16. Indexing Lists.vtt 3.3 KB
10. What is a Trading Strategy/7. Financial Data Analysis Visual Inspection.vtt 3.3 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/27. Short Selling and Short Position Returns (Part 1).vtt 3.3 KB
10. What is a Trading Strategy/6. Getting the Data.vtt 3.3 KB
02. +++ PART 1 Fundamentals of Trading, Binance and Python for Finance +++/1. PART 1 Overview.vtt 3.3 KB
13. Implementation and Automation of Trading Strategies with Binance/9. Working with historical data and real-time data (Part 2).vtt 3.3 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/1. Introduction.vtt 3.3 KB
26. Appendix 1 Python (& Finance) Basics/21. Calculate an Investment Project´s NPV.vtt 3.3 KB
18. Futures Trading on Binance A-Z/19. The Funding Rate explained (Part 3).vtt 3.2 KB
22. API Trading with CCXT/5. General Exchange Information.vtt 3.2 KB
12. Strategy Optimization and Forward Testing/9. The Backtester Class explained (Part 2).vtt 3.1 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/7. The method log_returns().vtt 3.1 KB
20. Implementing and automating Futures Trading on Binance/7. Placing Market Orders (Part 2).vtt 3.1 KB
26. Appendix 1 Python (& Finance) Basics/7. Excursus How to add inline comments.vtt 3.1 KB
12. Strategy Optimization and Forward Testing/10. The Backtester Class explained (Part 3).vtt 3.1 KB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/7. Getting the Instance Ready for Algorithmic Trading.vtt 3.1 KB
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/11. The method set_ticker().vtt 3.1 KB
07. Trading with Python and the Binance API - an Introduction/2. Overview.vtt 3.1 KB
26. Appendix 1 Python (& Finance) Basics/15. Zero-based Indexing and negative Indexing in Python (Theory).vtt 3.1 KB
23. API Trading with Bybit/2. Introduction.vtt 3.0 KB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/1. Introduction and Motivation.vtt 3.0 KB
26. Appendix 1 Python (& Finance) Basics/34. Changing Elements in Lists.vtt 2.9 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/3. Indexing and Slicing Numpy Arrays.vtt 2.9 KB
27. Appendix 2 User-defined Functions/7. How to return many results.vtt 2.9 KB
20. Implementing and automating Futures Trading on Binance/2. Introduction and Preparations.vtt 2.9 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/8. Misuse of function names and keywords.vtt 2.8 KB
18. Futures Trading on Binance A-Z/20. The Funding Rate live in action.vtt 2.8 KB
25. +++ APPENDIX Python Crash Course +++/1. Introduction and Overview.vtt 2.7 KB
07. Trading with Python and the Binance API - an Introduction/30. Reporting Getting all (historical) Orders and Trades.vtt 2.7 KB
26. Appendix 1 Python (& Finance) Basics/3. Calculate Present Values (PV) with Python Discounting.vtt 2.7 KB
22. API Trading with CCXT/15. How to connect to Testnets (Sandbox mode).vtt 2.7 KB
01. Getting Started/5. LEGAL DISCLAIMER (MUST READ!).html 2.6 KB
07. Trading with Python and the Binance API - an Introduction/25. Creating a Connection to the Spot Testnet.vtt 2.6 KB
01. Getting Started/1. Welcome and Introduction.vtt 2.6 KB
26. Appendix 1 Python (& Finance) Basics/44. Booleans.vtt 2.6 KB
26. Appendix 1 Python (& Finance) Basics/14. Intro to Python Lists.vtt 2.5 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/29. Selecting one Column with the dot notation.vtt 2.5 KB
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/3. Amazon Web Services (AWS) - Overview and how to create a Free Trial Account.vtt 2.5 KB
20. Implementing and automating Futures Trading on Binance/13. Putting everything together.vtt 2.5 KB
07. Trading with Python and the Binance API - an Introduction/6. How to install the Binance API Wrapper.vtt 2.4 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/16. Log Returns.vtt 2.4 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/54. Exporting DataFrames to csv.vtt 2.4 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/67. Introduction to GroupBy Operations.vtt 2.4 KB
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/17. How to slice 2-dim Numpy Arrays (Part 2).vtt 2.2 KB
07. Trading with Python and the Binance API - an Introduction/28. Placing a Market Sell Order.vtt 2.2 KB
07. Trading with Python and the Binance API - an Introduction/18. Running a Python Script.vtt 2.2 KB
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/2. Installing and importing required LibrariesPackages.vtt 2.1 KB
26. Appendix 1 Python (& Finance) Basics/8. Variables and Memory (Theory).vtt 2.1 KB
14. A Long-Short Trading Strategy A-Z/3. Recap Explanatory Data Analysis and generating a Trading Idea.vtt 2.0 KB
09. +++ PART 2 Algorithmic Trading Spot Trading +++/1. Overview.vtt 2.0 KB
13. Implementation and Automation of Trading Strategies with Binance/6. NEW BinanceSocketManager (August 2023 Update).vtt 1.9 KB
26. Appendix 1 Python (& Finance) Basics/25. Excursus Dynamic Typing in Python.vtt 1.9 KB
05. Installing Python and Jupyter Notebooks/5. Tips for Python Beginners.vtt 1.8 KB
05. Installing Python and Jupyter Notebooks/1. Introduction.vtt 1.8 KB
22. API Trading with CCXT/21. Bonus Trading Scripts at a glance.vtt 1.8 KB
22. API Trading with CCXT/3. Preparations.vtt 1.7 KB
12. Strategy Optimization and Forward Testing/2. Getting started.vtt 1.6 KB
13. Implementation and Automation of Trading Strategies with Binance/2. Getting started.vtt 1.5 KB
19. Backtesting Futures Trading Strategies with Leverage/2. Getting the Data.vtt 1.5 KB
14. A Long-Short Trading Strategy A-Z/2. Getting started.vtt 1.5 KB
07. Trading with Python and the Binance API - an Introduction/5. Commands to install required packages.html 1.3 KB
06. Excursus How to avoid and debug Coding Errors (don´t skip!)/3. Major reasons for Coding Errors.vtt 1.3 KB
07. Trading with Python and the Binance API - an Introduction/8. Troubleshooting.html 1.1 KB
19. Backtesting Futures Trading Strategies with Leverage/4. Recap Leverage and levered Returns.vtt 1.1 KB
07. Trading with Python and the Binance API - an Introduction/9. Important notice for Binance.US users (Part 1).html 1.0 KB
07. Trading with Python and the Binance API - an Introduction/19. Important notice for Binance.US users (Part 2).html 987 bytes
13. Implementation and Automation of Trading Strategies with Binance/3. Important notice for Binance.US users.html 987 bytes
14. A Long-Short Trading Strategy A-Z/10. #Troubleshooting for the next Lecture#.html 972 bytes
03. Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/10. Which Role Play do you like most.vtt 943 bytes
18. Futures Trading on Binance A-Z/1. Creating an account on Binance Futures Testnet.vtt 893 bytes
21. +++ PART 4 API Trading with other Exchanges (Bybit, Kraken & co.) +++/1. Overview.html 756 bytes
15. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/6. Required Installations and Downloads.html 743 bytes
13. Implementation and Automation of Trading Strategies with Binance/1. Introduction and important Notice.html 719 bytes
24. API Trading with FTX (now liquidated!) - another showcase/3. How to get a 5% Discount on Trading Commissions (FTX.com).html 662 bytes
24. API Trading with FTX (now liquidated!) - another showcase/1. Important Notice.html 639 bytes
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/26. Coding Challenge #5.html 612 bytes
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/64. Important Notice for next Lecture.html 609 bytes
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/36. Label-based Indexing Cheat Sheets.html 570 bytes
07. Trading with Python and the Binance API - an Introduction/16. Troubleshooting aiohttp (October 2024).html 565 bytes
13. Implementation and Automation of Trading Strategies with Binance/4. Troubleshooting aiohttp (October 2024).html 564 bytes
14. A Long-Short Trading Strategy A-Z/7. Troubleshooting aiohttp (October 2024).html 564 bytes
20. Implementing and automating Futures Trading on Binance/9. Troubleshooting aiohttp (October 2024).html 564 bytes
04. Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/2. How to get a 10% Discount on Trading Commissions.html 532 bytes
30. Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/2. Update yfinance ACTION REQUIRED!.html 529 bytes
12. Strategy Optimization and Forward Testing/1. Introduction.html 492 bytes
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/36. Coding Challenge #7.html 485 bytes
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/10. Coding Challenge #2.html 466 bytes
07. Trading with Python and the Binance API - an Introduction/32. Homework Running the Trading Bot in a Python Script.html 455 bytes
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/19. Coding Challenge #4.html 430 bytes
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/13. Coding Challenge #3.html 406 bytes
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/31. Coding Challenge #6.html 406 bytes
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/33. Position-based Indexing Cheat Sheets.html 377 bytes
02. +++ PART 1 Fundamentals of Trading, Binance and Python for Finance +++/2. Downloads for PART 1 Updated November 2024.html 375 bytes
20. Implementing and automating Futures Trading on Binance/1. Important Notice (October 2024 Update).html 277 bytes
22. API Trading with CCXT/1. Important Notice (October 2024 Update).html 277 bytes
23. API Trading with Bybit/1. Important Notice (October 2024 Update).html 277 bytes
07. Trading with Python and the Binance API - an Introduction/24. Important Notice (October 2024 Update).html 275 bytes
07. Trading with Python and the Binance API - an Introduction/3. Important Notice (October 2024 Update).html 275 bytes
08. Financial Data Analysis with Python and Pandas - a (deep) Introduction/5. Article Loading Data into Pandas - advanced topics.html 233 bytes
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/27. Coding Exercise 9.html 198 bytes
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/38. Coding Exercise 10.html 198 bytes
26. Appendix 1 Python (& Finance) Basics/52. Coding Exercise 5.html 197 bytes
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/13. Coding Exercise 7.html 197 bytes
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/20. Coding Exercise 8.html 197 bytes
27. Appendix 2 User-defined Functions/9. Coding Exercise 6.html 195 bytes
25. +++ APPENDIX Python Crash Course +++/2. Appendix Downloads Updated Nov2024.html 163 bytes
09. +++ PART 2 Algorithmic Trading Spot Trading +++/2. Downloads for PART 2 Updated October 2024.html 157 bytes
26. Appendix 1 Python (& Finance) Basics/33. Slicing Cheat Sheet.html 147 bytes
16. Ultimate Homework Challenge Create, Test and Implement your Strategy!/2. Solution (Notebook) Updated October 2024.html 118 bytes
01. Getting Started/3. Audio-Video-Troubleshooting.txt 106 bytes
17. +++ PART 3 Algorithmic Trading Futures Trading +++/2. Downloads for Part 3 Updated October 2024.html 103 bytes
21. +++ PART 4 API Trading with other Exchanges (Bybit, Kraken & co.) +++/2. Downloads for Part 4 (Updated October).html 103 bytes
18. Futures Trading on Binance A-Z/17. More-Info-1.txt 93 bytes
18. Futures Trading on Binance A-Z/1. Create-an-Account-here.txt 52 bytes
18. Futures Trading on Binance A-Z/17. More-Info-2.txt 51 bytes

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