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GetFreeCourses Co-Udemy-Algorithmic Trading A-Z with Python, Machine Learning & AWS
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1. Getting Started (Size: 12.84 GB) (Files: 872)
1. Getting Started
1. What is Algorithmic Trading Course Overview.mp4
1. What is Algorithmic Trading Course Overview.srt
1.1 Overview.pdf
2. How to get the best out of this course.mp4
2. How to get the best out of this course.srt
3. Did you know... (what Data can tell us about Day Trading).mp4
3. Did you know... (what Data can tell us about Day Trading).srt
3.1 did_you_know.pdf
4. Test your knowledge.html
5. Student FAQ.html
6. LEGAL DISCLAIMER (MUST READ!) .html
10. Introduction to Time Series Data in Pandas
1. Importing Time Series Data from csv-files.mp4
1. Importing Time Series Data from csv-files.srt
2. Converting strings to datetime objects with pd.to_datetime().mp4
2. Converting strings to datetime objects with pd.to_datetime().srt
3. Indexing and Slicing Time Series.mp4
3. Indexing and Slicing Time Series.srt
4. Downsampling Time Series with resample().mp4
4. Downsampling Time Series with resample().srt
5. Coding Exercise 1.mp4
5. Coding Exercise 1.srt
11. Financial Data Analysis with Pandas - an Introduction
1. Getting Ready (Installing required library).mp4
1. Getting Ready (Installing required library).srt
10. Coding Exercise 2.html
11. Simple Returns vs. Log Returns.mp4
11. Simple Returns vs. Log Returns.srt
12. Importing Financial Data from Excel.mp4
12. Importing Financial Data from Excel.srt
13. Simple Moving Averages (SMA) with rolling().mp4
13. Simple Moving Averages (SMA) with rolling().srt
14. Momentum Trading Strategies with SMAs.mp4
14. Momentum Trading Strategies with SMAs.srt
15. Exponentially-weighted Moving Averages (EWMA).mp4
15. Exponentially-weighted Moving Averages (EWMA).srt
16. Merging Aligning Financial Time Series (hands-on).mp4
16. Merging Aligning Financial Time Series (hands-on).srt
2. Importing Stock Price Data from Yahoo Finance.mp4
2. Importing Stock Price Data from Yahoo Finance.srt
3. Initial Inspection and Visualization.mp4
3. Initial Inspection and Visualization.srt
4. Normalizing Time Series to a Base Value (100).mp4
4. Normalizing Time Series to a Base Value (100).srt
5. The shift() method.mp4
5. The shift() method.srt
6. The methods diff() and pct_change().mp4
6. The methods diff() and pct_change().srt
7. Measuring Stock Performance with MEAN Returns and STD of Returns.mp4
7. Measuring Stock Performance with MEAN Returns and STD of Returns.srt
8. Financial Time Series - Return and Risk.mp4
8. Financial Time Series - Return and Risk.srt
9. Financial Time Series - Covariance and Correlation.mp4
9. Financial Time Series - Covariance and Correlation.srt
12. Advanced Topics
1. Helpful DatetimeIndex Attributes and Methods.mp4
1. Helpful DatetimeIndex Attributes and Methods.srt
2. Filling NA Values with bfill, ffill and interpolation.mp4
2. Filling NA Values with bfill, ffill and interpolation.srt
3. Timezones and Converting (Part 1).mp4
3. Timezones and Converting (Part 1).srt
4. Timezones and Converting (Part 2).mp4
4. Timezones and Converting (Part 2).srt
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class
1. Introduction to OOP and examples for Classes.mp4
1. Introduction to OOP and examples for Classes.srt
1.1 OOP.pdf
10. The method set_ticker().mp4
10. The method set_ticker().srt
11. Adding more methods and performance metrics.mp4
11. Adding more methods and performance metrics.srt
12. Inheritance.mp4
12. Inheritance.srt
13. Inheritance and the super() Function.mp4
13. Inheritance and the super() Function.srt
14. Adding meaningful Docstrings.mp4
14. Adding meaningful Docstrings.srt
15. Creating and Importing Python Modules (.py).mp4
15. Creating and Importing Python Modules (.py).srt
16. Coding Exercise 3 Create your own Class.mp4
16. Coding Exercise 3 Create your own Class.srt
2. The Financial Analysis Class live in action (Part 1).mp4
2. The Financial Analysis Class live in action (Part 1).srt
3. The Financial Analysis Class live in action (Part 2).mp4
3. The Financial Analysis Class live in action (Part 2).srt
4. The special method __init__().mp4
4. The special method __init__().srt
5. The method get_data().mp4
5. The method get_data().srt
6. The method log_returns().mp4
6. The method log_returns().srt
7. String representation and the special method __repr__().mp4
7. String representation and the special method __repr__().srt
8. The methods plot_prices() and plot_returns().mp4
8. The methods plot_prices() and plot_returns().srt
9. Encapsulation and protected Attributes.mp4
9. Encapsulation and protected Attributes.srt
14. +++ PART 3 Defining and Testing Trading Strategies +++
1. Introduction to Part 3.mp4
1. Introduction to Part 3.srt
2. Trading Strategies - an Overview.mp4
2. Trading Strategies - an Overview.srt
2.1 strategy_overview.pdf
3. Downloads for Part 3.html
3.1 Part3_Materials.zip
4. Getting the Data.mp4
4. Getting the Data.srt
5. A simple Buy and Hold Strategy.mp4
5. A simple Buy and Hold Strategy.srt
6. Performance Metrics.mp4
6. Performance Metrics.srt
15. Defining and Backtesting SMA Strategies
1. SMA Crossover Strategies - Overview.mp4
1. SMA Crossover Strategies - Overview.srt
10. Creating the Class (Part 5).mp4
10. Creating the Class (Part 5).srt
11. Creating the Class (Part 6).mp4
11. Creating the Class (Part 6).srt
12. Creating the Class (Part 7).mp4
12. Creating the Class (Part 7).srt
13. Creating the Class (Part 8).mp4
13. Creating the Class (Part 8).srt
2. Defining an SMA Crossover Strategy.mp4
2. Defining an SMA Crossover Strategy.srt
3. Vectorized Strategy Backtesting.mp4
3. Vectorized Strategy Backtesting.srt
4. Finding the optimal SMA Strategy.mp4
4. Finding the optimal SMA Strategy.srt
5. Generalization with OOP An SMA Backtesting Class in action.mp4
5. Generalization with OOP An SMA Backtesting Class in action.srt
6. Creating the Class (Part 1).mp4
6. Creating the Class (Part 1).srt
7. Creating the Class (Part 2).mp4
7. Creating the Class (Part 2).srt
8. Creating the Class (Part 3).mp4
8. Creating the Class (Part 3).srt
9. Creating the Class (Part 4).mp4
9. Creating the Class (Part 4).srt
16. Defining and Backtesting simple MomentumContrarian Strategies
1. Simple ContrarianMomentum Strategies - Overview.mp4
1. Simple ContrarianMomentum Strategies - Overview.srt
10. OOP Challenge Create the Contrarian Backtesting Class (incl. Solution).mp4
10. OOP Challenge Create the Contrarian Backtesting Class (incl. Solution).srt
2. Getting the Data.mp4
2. Getting the Data.srt
3. Excursus Your FAQs answered.mp4
3. Excursus Your FAQs answered.srt
4. Defining a simple Contrarian Strategy.mp4
4. Defining a simple Contrarian Strategy.srt
5. Vectorized Strategy Backtesting.mp4
5. Vectorized Strategy Backtesting.srt
6. Changing the Window Parameter.mp4
6. Changing the Window Parameter.srt
7. Trades and Trading Costs (Part 1).mp4
7. Trades and Trading Costs (Part 1).srt
8. Trades and Trading Costs (Part 2).mp4
8. Trades and Trading Costs (Part 2).srt
9. Generalization with OOP A Contrarian Backtesting Class in action.mp4
9. Generalization with OOP A Contrarian Backtesting Class in action.srt
17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)
1. Mean-Reversion Strategies - Overview.mp4
1. Mean-Reversion Strategies - Overview.srt
2. Getting the Data.mp4
2. Getting the Data.srt
3. Defining a Bollinger Bands Mean-Reversion Strategy (Part 1).mp4
3. Defining a Bollinger Bands Mean-Reversion Strategy (Part 1).srt
4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4
4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).srt
5. Vectorized Strategy Backtesting.mp4
5. Vectorized Strategy Backtesting.srt
6. Generalization with OOP A Bollinger Bands Backtesting Class in action.mp4
6. Generalization with OOP A Bollinger Bands Backtesting Class in action.srt
7. OOP Challenge Create the Bollinger Bands Backtesting Class (incl. Solution).mp4
7. OOP Challenge Create the Bollinger Bands Backtesting Class (incl. Solution).srt
18. Trading Strategies powered by Machine Learning - Regression
1. Machine Learning - an Overview.mp4
1. Machine Learning - an Overview.srt
1.1 ML.pdf
10. In-Sample Backtesting and the Look-ahead-bias.mp4
10. In-Sample Backtesting and the Look-ahead-bias.srt
11. Out-Sample Forward Testing.mp4
11. Out-Sample Forward Testing.srt
2. Linear Regression with scikit-learn - a simple Introduction.mp4
2. Linear Regression with scikit-learn - a simple Introduction.srt
3. Making Predictions with Linear Regression.mp4
3. Making Predictions with Linear Regression.srt
4. Overfitting.mp4
4. Overfitting.srt
5. Underfitting.mp4
5. Underfitting.srt
6. Getting the Data.mp4
6. Getting the Data.srt
7. A simple Linear Model to predict Financial Returns (Part 1).mp4
7. A simple Linear Model to predict Financial Returns (Part 1).srt
8. A simple Linear Model to predict Financial Returns (Part 2).mp4
8. A simple Linear Model to predict Financial Returns (Part 2).srt
9. A Multiple Regression Model to predict Financial Returns.mp4
9. A Multiple Regression Model to predict Financial Returns.srt
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19. Trading Strategies powered by Machine Learning - Classification
1. Logistic Regression with scikit-learn - a simple Introduction (Part 1).mp4
1. Logistic Regression with scikit-learn - a simple Introduction (Part 1).srt
2. Logistic Regression with scikit-learn - a simple Introduction (Part 2).mp4
2. Logistic Regression with scikit-learn - a simple Introduction (Part 2).srt
3. Getting and Preparing the Data.mp4
3. Getting and Preparing the Data.srt
4. Predicting Market Direction with Logistic Regression.mp4
4. Predicting Market Direction with Logistic Regression.srt
5. In-Sample Backtesting and the Look-ahead-bias.mp4
5. In-Sample Backtesting and the Look-ahead-bias.srt
6. Out-Sample Forward Testing.mp4
6. Out-Sample Forward Testing.srt
7. Generalization with OOP A Classification Backtesting Class in action.mp4
7. Generalization with OOP A Classification Backtesting Class in action.srt
8. The Classification Backtesting Class explained (Part 1).mp4
8. The Classification Backtesting Class explained (Part 1).srt
9. The Classification Backtesting Class explained (Part 2).mp4
9. The Classification Backtesting Class explained (Part 2).srt
2. +++ PART 1 Day Trading, Online Brokers and APIs +++
1. Our very first Trade.mp4
1. Our very first Trade.srt
2. Long Term Investing vs. (Algorithmic) Day Trading.mp4
2. Long Term Investing vs. (Algorithmic) Day Trading.srt
2.1 Trading_vs_investing.pdf
3. Spot Trading vs. Derivatives Trading (Part 1).mp4
3. Spot Trading vs. Derivatives Trading (Part 1).srt
3.1 Spot_vs_Futures.pdf
4. Spot Trading vs. Derivatives Trading (Part 2).mp4
4. Spot Trading vs. Derivatives Trading (Part 2).srt
5. Overview & the Brokers OANDA and FXCM.mp4
5. Overview & the Brokers OANDA and FXCM.srt
5.1 Brokers.pdf
20. Advanced Backtesting Techniques
1. Introduction to Iterative Backtesting (event-driven).mp4
1. Introduction to Iterative Backtesting (event-driven).srt
1.1 Event_Driven_BT.pdf
10. Creating an Iterative Base Class (Part 7).mp4
10. Creating an Iterative Base Class (Part 7).srt
11. Creating an Iterative Base Class (Part 8).mp4
11. Creating an Iterative Base Class (Part 8).srt
12. Adding the Iterative Backtest Child Class for SMA (Part 1).mp4
12. Adding the Iterative Backtest Child Class for SMA (Part 1).srt
13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp4
13. Adding the Iterative Backtest Child Class for SMA (Part 2).srt
14. Using Modules and adding Docstrings.mp4
14. Using Modules and adding Docstrings.srt
15. OOP Challenge Add Contrarian and Bollinger Strategies.mp4
15. OOP Challenge Add Contrarian and Bollinger Strategies.srt
2. A first Intuition on Iterative Backtesting (Part 1).mp4
2. A first Intuition on Iterative Backtesting (Part 1).srt
3. A first Intuition on Iterative Backtesting (Part 2).mp4
3. A first Intuition on Iterative Backtesting (Part 2).srt
4. Creating an Iterative Base Class (Part 1).mp4
4. Creating an Iterative Base Class (Part 1).srt
5. Creating an Iterative Base Class (Part 2).mp4
5. Creating an Iterative Base Class (Part 2).srt
6. Creating an Iterative Base Class (Part 3).mp4
6. Creating an Iterative Base Class (Part 3).srt
7. Creating an Iterative Base Class (Part 4).mp4
7. Creating an Iterative Base Class (Part 4).srt
8. Creating an Iterative Base Class (Part 5).mp4
8. Creating an Iterative Base Class (Part 5).srt
9. Creating an Iterative Base Class (Part 6).mp4
9. Creating an Iterative Base Class (Part 6).srt
21. +++ PART 4 Real-time Implementation and Automation of Strategies +++
1. Introduction and Overview.mp4
1. Introduction and Overview.srt
2. Downloads for Part 4.html
2.1 Part4_Materials.zip
22. Implementation and Automation with OANDA (UPDATED!)
1. Updating the Wrapper Package (Part 1).html
10. Storing and resampling real-time tick data (Part 4).mp4
10. Storing and resampling real-time tick data (Part 4).srt
11. Storing and resampling real-time tick data (Part 5).mp4
11. Storing and resampling real-time tick data (Part 5).srt
12. Working with historical data and real-time tick data (Part 1).mp4
12. Working with historical data and real-time tick data (Part 1).srt
13. Working with historical data and real-time tick data (Part 2).mp4
13. Working with historical data and real-time tick data (Part 2).srt
14. Working with historical data and real-time tick data (Part 3).mp4
14. Working with historical data and real-time tick data (Part 3).srt
15. Defining a simple Contrarian Strategy.mp4
15. Defining a simple Contrarian Strategy.srt
16. Placing Orders and Executing Trades.mp4
16. Placing Orders and Executing Trades.srt
17. Trade Monitoring and Reporting.mp4
17. Trade Monitoring and Reporting.srt
18. Trading other Strategies - Coding Challenge.mp4
18. Trading other Strategies - Coding Challenge.srt
19. Implementing an SMA Crossover Strategy (Solution).mp4
19. Implementing an SMA Crossover Strategy (Solution).srt
2. Updating the Wrapper Package (Part 2).mp4
2. Updating the Wrapper Package (Part 2).srt
20. Implementing a Bollinger Bands Strategy (Solution).mp4
20. Implementing a Bollinger Bands Strategy (Solution).srt
21. Machine Learning Strategies (1) - Model Fitting.mp4
21. Machine Learning Strategies (1) - Model Fitting.srt
22. Machine Learning Strategies (2) - Implementation.mp4
22. Machine Learning Strategies (2) - Implementation.srt
23. Importing a Trader Module Class.mp4
23. Importing a Trader Module Class.srt
24. Excursus Printing all ticks in a Command PromptTerminal.html
25. Running a Python Trader Script.mp4
25. Running a Python Trader Script.srt
3. Weekend and Bank Holiday Alert.html
4. Historical Data, real-time Data and Orders (Recap).mp4
4. Historical Data, real-time Data and Orders (Recap).srt
5. Preview A Trader Class live in action.mp4
5. Preview A Trader Class live in action.srt
6. How to collect and store real-time tick data.mp4
6. How to collect and store real-time tick data.srt
7. Storing and resampling real-time tick data (Part 1).mp4
7. Storing and resampling real-time tick data (Part 1).srt
8. Storing and resampling real-time tick data (Part 2).mp4
8. Storing and resampling real-time tick data (Part 2).srt
9. Storing and resampling real-time tick data (Part 3).mp4
9. Storing and resampling real-time tick data (Part 3).srt
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23. Implementation and Automation with FXCM (Updated!)
1. Weekend and Bank Holiday Alert.html
10. Working with historical data and real-time tick data (Part 1).mp4
10. Working with historical data and real-time tick data (Part 1).srt
11. Working with historical data and real-time tick data (Part 2).mp4
11. Working with historical data and real-time tick data (Part 2).srt
12. Working with historical data and real-time tick data (Part 3).mp4
12. Working with historical data and real-time tick data (Part 3).srt
13. Defining a Simple Contrarian Trading Strategy.mp4
13. Defining a Simple Contrarian Trading Strategy.srt
14. Placing Orders and Executing Trades.mp4
14. Placing Orders and Executing Trades.srt
15. Trade Monitoring and Reporting.mp4
15. Trade Monitoring and Reporting.srt
16. Trading other Strategies - Coding Challenge.mp4
16. Trading other Strategies - Coding Challenge.srt
17. SMA Crossover and Bollinger Bands (Solution).mp4
17. SMA Crossover and Bollinger Bands (Solution).srt
18. Machine Learning Strategies (1) - Model Fitting.mp4
18. Machine Learning Strategies (1) - Model Fitting.srt
19. Machine Learning Strategies (2) - Implementation.mp4
19. Machine Learning Strategies (2) - Implementation.srt
2. Historical Data, real-time Data and Orders (Recap).mp4
2. Historical Data, real-time Data and Orders (Recap).srt
20. Excursus Printing all ticks in a Command PromptTerminal.html
21. Running a Python Script.mp4
21. Running a Python Script.srt
3. Troubleshooting FXCM Server Connection Issues.html
4. Preview A Trader Class live in action.mp4
4. Preview A Trader Class live in action.srt
5. Collecting and storing real-time tick data.mp4
5. Collecting and storing real-time tick data.srt
6. Storing and resampling real-time tick data (Part 1).mp4
6. Storing and resampling real-time tick data (Part 1).srt
7. A Trader Class.mp4
7. A Trader Class.srt
8. Storing and resampling real-time tick data (Part 2).mp4
8. Storing and resampling real-time tick data (Part 2).srt
9. Storing and resampling real-time tick data (Part 3).mp4
9. Storing and resampling real-time tick data (Part 3).srt
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation
1. Introduction and Motivation.mp4
1. Introduction and Motivation.srt
1.1 cloud.pdf
10. How to schedule Trading sessions with the Task Scheduler.mp4
10. How to schedule Trading sessions with the Task Scheduler.srt
11. How to stop Trading Sessions (OANDA).mp4
11. How to stop Trading Sessions (OANDA).srt
12. How to stop Trading Sessions (FXCM).mp4
12. How to stop Trading Sessions (FXCM).srt
2. Demonstration AWS EC2 for Algorithmic Trading live in action.mp4
2. Demonstration AWS EC2 for Algorithmic Trading live in action.srt
3. Amazon Web Services (AWS) - Overview and how to create a Free Trial Account.mp4
3. Amazon Web Services (AWS) - Overview and how to create a Free Trial Account.srt
4. How to create an EC2 Instance.mp4
4. How to create an EC2 Instance.srt
5. How to connect to your EC2 Instance.mp4
5. How to connect to your EC2 Instance.srt
6. Getting the Instance Ready for Algorithmic Trading.mp4
6. Getting the Instance Ready for Algorithmic Trading.srt
7. Weekend and Bank Holiday Alert.html
8. How to run Python Scripts in a Windows Command Prompt.mp4
8. How to run Python Scripts in a Windows Command Prompt.srt
9. How to start Trading sessions with Batch (.bat) Files.mp4
9. How to start Trading sessions with Batch (.bat) Files.srt
25. +++ PART 5 Expert Tips & Tricks, Case Studies and more +++
1. Overview.mp4
1. Overview.srt
2. Downloads for PART 5.html
2.1 Part5_Materials.zip
26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!
1. Introduction and Preparing the Data.mp4
1. Introduction and Preparing the Data.srt
2. The best time to trade (Part 1).mp4
2. The best time to trade (Part 1).srt
3. The best time to trade (Part 2).mp4
3. The best time to trade (Part 2).srt
4. Spreads during the busy hours.mp4
4. Spreads during the busy hours.srt
5. The Impact of Granularity.mp4
5. The Impact of Granularity.srt
6. Conclusions.mp4
6. Conclusions.srt
27. Working with two or many Strategies (Combination)
1. Introduction.mp4
1. Introduction.srt
2. Strategy 1 SMA.mp4
2. Strategy 1 SMA.srt
3. Strategy 2 Mean Reversion.mp4
3. Strategy 2 Mean Reversion.srt
4. Combining both Strategies - Alternative 1.mp4
4. Combining both Strategies - Alternative 1.srt
5. Taking into account busy Trading Hours.mp4
5. Taking into account busy Trading Hours.srt
6. Strategy Backtesting.mp4
6. Strategy Backtesting.srt
7. Combining both Strategies - Alternative 2.mp4
7. Combining both Strategies - Alternative 2.srt
8. Strategy Optimization.mp4
8. Strategy Optimization.srt
28. A Machine Learning-powered Strategy A-Z (DNN)
1. Project Overview.mp4
1. Project Overview.srt
1.1 DNN.pdf
10. Prediction & Out-Sample Forward Testing.mp4
10. Prediction & Out-Sample Forward Testing.srt
11. Saving Model and Parameters.mp4
11. Saving Model and Parameters.srt
12. Important Notices.html
13. Implementation (Oanda & FXCM).mp4
13. Implementation (Oanda & FXCM).srt
2. Installation of Tensorflow & Keras (Part 1).html
3. Installation of Tensorflow & Keras (Part 2).mp4
3. Installation of Tensorflow & Keras (Part 2).srt
4. Getting and Preparing the Data.mp4
4. Getting and Preparing the Data.srt
5. Adding LabelsFeatures.mp4
5. Adding LabelsFeatures.srt
6. Adding lags.mp4
6. Adding lags.srt
7. Splitting into Train and Test Set.mp4
7. Splitting into Train and Test Set.srt
8. Feature ScalingEngineering.mp4
8. Feature ScalingEngineering.srt
9. Creating and Fitting the DNN Model.mp4
9. Creating and Fitting the DNN Model.srt
29. Error Handling How to make your Trading Bot more stable and reliable
1. Introduction.mp4
1. Introduction.srt
10. How to limit the number of retries.mp4
10. How to limit the number of retries.srt
11. Waiting periods between re-tries.mp4
11. Waiting periods between re-tries.srt
12. Implementation with Oanda V20 Connection Issues.mp4
12. Implementation with Oanda V20 Connection Issues.srt
13. Oanda Error Handling (Part 1).mp4
13. Oanda Error Handling (Part 1).srt
14. Oanda Error Handling (Part 2).mp4
14. Oanda Error Handling (Part 2).srt
15. Oanda Error Handling (Part 3).mp4
15. Oanda Error Handling (Part 3).srt
16. Implementation with FXCM APIServer Issues.mp4
16. Implementation with FXCM APIServer Issues.srt
17. FXCM Error Handling (Part 1).mp4
17. FXCM Error Handling (Part 1).srt
18. FXCM Error Handling (Part 2).mp4
18. FXCM Error Handling (Part 2).srt
2. Section Materials Notebooks.html
3. Python Errors (Exceptions).mp4
3. Python Errors (Exceptions).srt
4. try and except.mp4
4. try and except.srt
5. Catching specific Errors.mp4
5. Catching specific Errors.srt
6. The Exception class.mp4
6. The Exception class.srt
7. try, except, else.mp4
7. try, except, else.srt
8. finally.mp4
8. finally.srt
9. Try again (...until it works).mp4
9. Try again (...until it works).srt
3. Day Trading with OANDA A-Z a Deep Dive
1. OANDA at a first glance.mp4
1. OANDA at a first glance.srt
10. Our third Trade A-Z - Going Short EURUSD.mp4
10. Our third Trade A-Z - Going Short EURUSD.srt
10.1 Short_EUR.xlsx
11. Netting vs. Hedging.mp4
11. Netting vs. Hedging.srt
12. Market, Limit and Stop Orders.mp4
12. Market, Limit and Stop Orders.srt
13. Take-Profit and Stop-Loss Orders.mp4
13. Take-Profit and Stop-Loss Orders.srt
14. A more general Example.mp4
14. A more general Example.srt
15. Trading Challenge.html
2. How to create an Account.mp4
2. How to create an Account.srt
3. FOREX Currency Exchange Rates explained.mp4
3. FOREX Currency Exchange Rates explained.srt
3.1 Currency.pdf
4. Our second Trade - EURUSD FOREX Trading.mp4
4. Our second Trade - EURUSD FOREX Trading.srt
5. How to calculate Profit & Loss of a Trade.mp4
5. How to calculate Profit & Loss of a Trade.srt
5.1 Long_EUR.xlsx
6. Trading Costs and Performance Attribution.mp4
6. Trading Costs and Performance Attribution.srt
6.1 spread.pdf
7. Margin and Leverage.mp4
7. Margin and Leverage.srt
8. Margin Closeout and more.mp4
8. Margin Closeout and more.srt
9. Introduction to Charting.mp4
9. Introduction to Charting.srt
9.1 Candlestick.pdf
30. +++ APPENDIX Python Crash Course +++
1. Overview.mp4
1. Overview.srt
31. Appendix 1 Python (& Finance) Basics
1. Section Downloads.html
1.1 Appendix1_Materials.zip
10. More on Variables and Memory.mp4
10. More on Variables and Memory.srt
11. Variables - Dos, Don´ts and Conventions.mp4
11. Variables - Dos, Don´ts and Conventions.srt
11.1 keywords.pdf
12. The print() Function.mp4
12. The print() Function.srt
13. Coding Exercise 1.mp4
13. Coding Exercise 1.srt
14. TVM Problems with many Cashflows.mp4
14. TVM Problems with many Cashflows.srt
14.1 FV_many.pdf
15. Intro to Python Lists.mp4
15. Intro to Python Lists.srt
16. Zero-based Indexing and negative Indexing in Python (Theory).mp4
16. Zero-based Indexing and negative Indexing in Python (Theory).srt
16.1 Indexing.pdf
17. Indexing Lists.mp4
17. Indexing Lists.srt
18. For Loops - Iterating over Lists.mp4
18. For Loops - Iterating over Lists.srt
19. The range Object - another Iterable.mp4
19. The range Object - another Iterable.srt
2. Intro to the Time Value of Money (TVM) Concept (Theory).mp4
2. Intro to the Time Value of Money (TVM) Concept (Theory).srt
2.1 TVM.pdf
20. Calculate FV and PV for many Cashflows.mp4
20. Calculate FV and PV for many Cashflows.srt
20.1 PV_FV_many.pdf
21. The Net Present Value - NPV (Theory).mp4
21. The Net Present Value - NPV (Theory).srt
21.1 NPV.pdf
22. Calculate an Investment Project´s NPV.mp4
22. Calculate an Investment Project´s NPV.srt
23. Coding Exercise 2.mp4
23. Coding Exercise 2.srt
24. Data Types in Action.mp4
24. Data Types in Action.srt
25. The Data Type Hierarchy (Theory).mp4
25. The Data Type Hierarchy (Theory).srt
25.1 Type_Hierarchy.pdf
26. Excursus Dynamic Typing in Python.mp4
26. Excursus Dynamic Typing in Python.srt
27. Build-in Functions.mp4
27. Build-in Functions.srt
27.1 Built_in_func.pdf
28. Integers.mp4
28. Integers.srt
29. Floats.mp4
29. Floats.srt
3. Calculate Future Values (FV) with Python Compounding.mp4
3. Calculate Future Values (FV) with Python Compounding.srt
30. How to round Floats (and Integers) with round().mp4
30. How to round Floats (and Integers) with round().srt
31. More on Lists.mp4
31. More on Lists.srt
32. Lists and Element-wise Operations.mp4
32. Lists and Element-wise Operations.srt
33. Slicing Lists.mp4
33. Slicing Lists.srt
34. Slicing Cheat Sheet.html
34.1 Slicing_cheatsheet.pdf
35. Changing Elements in Lists.mp4
35. Changing Elements in Lists.srt
36. Sorting and Reversing Lists.mp4
36. Sorting and Reversing Lists.srt
37. Adding and removing Elements fromto Lists.mp4
37. Adding and removing Elements fromto Lists.srt
38. Mutable vs. immutable Objects (Part 1).mp4
38. Mutable vs. immutable Objects (Part 1).srt
39. Mutable vs. immutable Objects (Part 2).mp4
39. Mutable vs. immutable Objects (Part 2).srt
39.1 Python_for_Finance_Mutability.pdf
4. Calculate Present Values (FV) with Python Discounting.mp4
4. Calculate Present Values (FV) with Python Discounting.srt
40. Coding Exercise 3.mp4
40. Coding Exercise 3.srt
41. Tuples.mp4
41. Tuples.srt
42. Dictionaries.mp4
42. Dictionaries.srt
43. Intro to Strings.mp4
43. Intro to Strings.srt
44. String Replacement.mp4
44. String Replacement.srt
45. Booleans.mp4
45. Booleans.srt
46. Operators (Theory).mp4
46. Operators (Theory).srt
46.1 Operators.pdf
47. Comparison, Logical and Membership Operators in Action.mp4
47. Comparison, Logical and Membership Operators in Action.srt
48. Coding Exercise 4.mp4
48. Coding Exercise 4.srt
49. Conditional Statements.mp4
49. Conditional Statements.srt
5. Interest Rates and Returns (Theory).mp4
5. Interest Rates and Returns (Theory).srt
5.1 Interest_Rates.pdf
50. Keywords pass, continue and break.mp4
50. Keywords pass, continue and break.srt
51. Calculate a Project´s Payback Period.mp4
51. Calculate a Project´s Payback Period.srt
52. Introduction to while loops.mp4
52. Introduction to while loops.srt
53. Coding Exercise 5.html
6. Calculate Interest Rates and Returns with Python.mp4
6. Calculate Interest Rates and Returns with Python.srt
7. Introduction to Variables.mp4
7. Introduction to Variables.srt
8. Excursus How to add inline comments.mp4
8. Excursus How to add inline comments.srt
9. Variables and Memory (Theory).mp4
9. Variables and Memory (Theory).srt
9.1 Variables.pdf
32. Appendix 2 User-defined Functions (required for OOP)
1. Section Downloads.html
1.1 Appendix2_Materials.zip
10. Coding Exercise 6.html
2. Defining your first user-defined Function.mp4
2. Defining your first user-defined Function.srt
3. What´s the difference between Positional Arguments vs. Keyword Arguments.mp4
3. What´s the difference between Positional Arguments vs. Keyword Arguments.srt
4. How to work with Default Arguments.mp4
4. How to work with Default Arguments.srt
5. The Default Argument None.mp4
5. The Default Argument None.srt
6. How to unpack Iterables.mp4
6. How to unpack Iterables.srt
7. Sequences as arguments and args.mp4
7. Sequences as arguments and args.srt
8. How to return many results.mp4
8. How to return many results.srt
9. Scope - easily explained.mp4
9. Scope - easily explained.srt
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course
1. Downloads for this Section.html
1.1 Appendix3_Materials.zip
10. Boolean Arrays and Conditional Filtering.mp4
10. Boolean Arrays and Conditional Filtering.srt
11. Advanced Filtering & Bitwise Operators.mp4
11. Advanced Filtering & Bitwise Operators.srt
12. Determining a Project´s Payback Period with np.where().mp4
12. Determining a Project´s Payback Period with np.where().srt
13. Creating Numpy Arrays from Scratch.mp4
13. Creating Numpy Arrays from Scratch.srt
14. Coding Exercise 7.html
15. How to work with nested Lists.mp4
15. How to work with nested Lists.srt
16. 2-dimensional Numpy Arrays.mp4
16. 2-dimensional Numpy Arrays.srt
17. How to slice 2-dim Numpy Arrays (Part 1).mp4
17. How to slice 2-dim Numpy Arrays (Part 1).srt
18. How to slice 2-dim Numpy Arrays (Part 2).mp4
18. How to slice 2-dim Numpy Arrays (Part 2).srt
19. Recap Changing Elements in a Numpy Array slice.mp4
19. Recap Changing Elements in a Numpy Array slice.srt
2. Modules, Packages and Libraries - No need to reinvent the Wheel.mp4
2. Modules, Packages and Libraries - No need to reinvent the Wheel.srt
20. How to perform row-wise and column-wise Operations.mp4
20. How to perform row-wise and column-wise Operations.srt
21. Coding Exercise 8.html
22. Intro to Tabular Data Pandas.mp4
22. Intro to Tabular Data Pandas.srt
23. Create your very first Pandas DataFrame (from csv).mp4
23. Create your very first Pandas DataFrame (from csv).srt
24. Pandas Display Options and the methods head() & tail().mp4
24. Pandas Display Options and the methods head() & tail().srt
25. First Data Inspection.mp4
25. First Data Inspection.srt
26. Coding Exercise 9.html
27. Selecting Columns.mp4
27. Selecting Columns.srt
28. Selecting one Column with the dot notation.mp4
28. Selecting one Column with the dot notation.srt
29. Zero-based Indexing and Negative Indexing.mp4
29. Zero-based Indexing and Negative Indexing.srt
3. Numpy Arrays.mp4
3. Numpy Arrays.srt
30. Selecting Rows with iloc (position-based indexing).mp4
30. Selecting Rows with iloc (position-based indexing).srt
31. Slicing Rows and Columns with iloc (position-based indexing).mp4
31. Slicing Rows and Columns with iloc (position-based indexing).srt
32. Position-based Indexing Cheat Sheets.html
32.1 pandas_iloc.pdf
33. Selecting Rows with loc (label-based indexing).mp4
33. Selecting Rows with loc (label-based indexing).srt
34. Slicing Rows and Columns with loc (label-based indexing).mp4
34. Slicing Rows and Columns with loc (label-based indexing).srt
35. Label-based Indexing Cheat Sheets.html
35.1 Pandas_loc.pdf
36. Summary, Best Practices and Outlook.mp4
36. Summary, Best Practices and Outlook.srt
37. Coding Exercise 10.html
38. First Steps with Pandas Series.mp4
38. First Steps with Pandas Series.srt
39. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4
39. Analyzing Numerical Series with unique(), nunique() and value_counts().srt
4. Indexing and Slicing Numpy Arrays.mp4
4. Indexing and Slicing Numpy Arrays.srt
40. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4
40. Analyzing non-numerical Series with unique(), nunique(), value_counts().srt
41. The copy() method.mp4
41. The copy() method.srt
42. Sorting of Series and Introduction to the inplace - parameter.mp4
42. Sorting of Series and Introduction to the inplace - parameter.srt
43. First Steps with Pandas Index Objects.mp4
43. First Steps with Pandas Index Objects.srt
44. Changing Row Index with set_index() and reset_index().mp4
44. Changing Row Index with set_index() and reset_index().srt
45. Changing Column Labels.mp4
45. Changing Column Labels.srt
46. Renaming Index & Column Labels with rename().mp4
46. Renaming Index & Column Labels with rename().srt
47. Filtering DataFrames (one Condition).mp4
47. Filtering DataFrames (one Condition).srt
48. Filtering DataFrames by many Conditions (AND).mp4
48. Filtering DataFrames by many Conditions (AND).srt
49. Filtering DataFrames by many Conditions (OR).mp4
49. Filtering DataFrames by many Conditions (OR).srt
5. Vectorized Operations with Numpy Arrays.mp4
5. Vectorized Operations with Numpy Arrays.srt
50. Advanced Filtering with between(), isin() and ~.mp4
50. Advanced Filtering with between(), isin() and ~.srt
51. Intro to NA Values missing Values.mp4
51. Intro to NA Values missing Values.srt
52. Handling NA Values missing Values.mp4
52. Handling NA Values missing Values.srt
53. Exporting DataFrames to csv.mp4
53. Exporting DataFrames to csv.srt
54. Summary Statistics and Accumulations.mp4
54. Summary Statistics and Accumulations.srt
55. Visualization with Matplotlib (Intro).mp4
55. Visualization with Matplotlib (Intro).srt
56. Customization of Plots.mp4
56. Customization of Plots.srt
57. Histogramms (Part 1).mp4
57. Histogramms (Part 1).srt
58. Histogramms (Part 2).mp4
58. Histogramms (Part 2).srt
59. Scatterplots.mp4
59. Scatterplots.srt
6. Changing Elements in Numpy Arrays & Mutability.mp4
6. Changing Elements in Numpy Arrays & Mutability.srt
6.1 Mutability_arrays.pdf
60. First Steps with Seaborn.mp4
60. First Steps with Seaborn.srt
61. Categorical Seaborn Plots.mp4
61. Categorical Seaborn Plots.srt
62. Seaborn Regression Plots.mp4
62. Seaborn Regression Plots.srt
63. Seaborn Heatmaps.mp4
63. Seaborn Heatmaps.srt
64. Removing Columns.mp4
64. Removing Columns.srt
65. Introduction to GroupBy Operations.mp4
65. Introduction to GroupBy Operations.srt
66. Understanding the GroupBy Object.mp4
66. Understanding the GroupBy Object.srt
67. Splitting with many Keys.mp4
67. Splitting with many Keys.srt
68. split-apply-combine.mp4
68. split-apply-combine.srt
7. View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4
7. View vs. copy - potential Pitfalls when slicing Numpy Arrays.srt
7.1 Slicing_arrays.pdf
8. Numpy Array Methods and Attributes.mp4
8. Numpy Array Methods and Attributes.srt
9. Numpy Universal Functions.mp4
9. Numpy Universal Functions.srt
34. What´s next (outlook and additional resources)
1. Bonus Lecture.html
4. FOREX Day Trading with FXCM
1. FXCM at a first glance.mp4
1. FXCM at a first glance.srt
2. How to create an Account.mp4
2. How to create an Account.srt
3. Example Trade Buying EURUSD.mp4
3. Example Trade Buying EURUSD.srt
4. Trade Analysis.mp4
4. Trade Analysis.srt
4.1 Long_EUR_fxcm.xlsx
5. Charting.mp4
5. Charting.srt
6. Closing Positions vs. Hedging Positions.mp4
6. Closing Positions vs. Hedging Positions.srt
7. Order Types at a glance.mp4
7. Order Types at a glance.srt
8. Trading Challenge.html
5. Installing Python and Jupyter Notebooks
1. Introduction.mp4
1. Introduction.srt
2. Download and Install Anaconda.mp4
2. Download and Install Anaconda.srt
3. How to open Jupyter Notebooks.mp4
3. How to open Jupyter Notebooks.srt
4. How to work with Jupyter Notebooks.mp4
4. How to work with Jupyter Notebooks.srt
5. Tips for Python Beginners.mp4
5. Tips for Python Beginners.srt
6. Excursus How to avoid and debug Coding Errors (don´t skip!)
1. Introduction.mp4
1. Introduction.srt
10. Getting help on StackOverflow.com.mp4
10. Getting help on StackOverflow.com.srt
11. How to traceback more complex Errors.mp4
11. How to traceback more complex Errors.srt
12. Problems with the Python Installation.mp4
12. Problems with the Python Installation.srt
13. External Factors and Issues.mp4
13. External Factors and Issues.srt
14. Errors related to the course content (Transcription Errors).mp4
14. Errors related to the course content (Transcription Errors).srt
15. Summary and Debugging Flow-Chart.mp4
15. Summary and Debugging Flow-Chart.srt
2. Test your debugging skills!.mp4
2. Test your debugging skills!.srt
3. Major reasons for Coding Errors.mp4
3. Major reasons for Coding Errors.srt
4. The most commonly made Errors at a glance.mp4
4. The most commonly made Errors at a glance.srt
5. Omitting cells, changing the sequence and more.mp4
5. Omitting cells, changing the sequence and more.srt
6. IndexErrors.mp4
6. IndexErrors.srt
7. Indentation Errors.mp4
7. Indentation Errors.srt
8. Misuse of function names and keywords.mp4
8. Misuse of function names and keywords.srt
9. TypeErrors and ValueErrors.mp4
9. TypeErrors and ValueErrors.srt
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7. Trading with Python and OANDAFXCM - an Introduction
1. How to maximize your learning experience.html
10. OANDA How to place Orders and execute Trades.mp4
10. OANDA How to place Orders and execute Trades.srt
11. Trading Challenge.html
12. FXCM Commands to install required packages.html
13. FXCM How to install the FXCM API Wrapper.mp4
13. FXCM How to install the FXCM API Wrapper.srt
14. FXCM Getting the Access Token & other Preparations.mp4
14. FXCM Getting the Access Token & other Preparations.srt
14.1 FXCM_firststeps.zip
15. FXCM Connecting to the APIServer.mp4
15. FXCM Connecting to the APIServer.srt
16. Troubleshooting FXCM Server Connection Issues.html
17. FXCM How to load Historical Price Data (Part 1).mp4
17. FXCM How to load Historical Price Data (Part 1).srt
18. FXCM How to load Historical Price Data (Part 2).mp4
18. FXCM How to load Historical Price Data (Part 2).srt
19. FXCM Streaming high-frequency real-time Data.mp4
19. FXCM Streaming high-frequency real-time Data.srt
2. Overview.mp4
2. Overview.srt
20. FXCM How to place Orders and execute Trades.mp4
20. FXCM How to place Orders and execute Trades.srt
21. Trading Challenge.html
3. OANDA Commands to install required packages.html
4. OANDA How to install the OANDA API Wrapper.mp4
4. OANDA How to install the OANDA API Wrapper.srt
5. OANDA Getting the API Key & other Preparations.mp4
5. OANDA Getting the API Key & other Preparations.srt
5.1 Oanda_firststeps.zip
6. OANDA Connecting to the APIServer.mp4
6. OANDA Connecting to the APIServer.srt
7. OANDA How to load Historical Price Data (Part 1).mp4
7. OANDA How to load Historical Price Data (Part 1).srt
8. OANDA How to load Historical Price Data (Part 2).mp4
8. OANDA How to load Historical Price Data (Part 2).srt
9. OANDA Streaming high-frequency real-time Data.mp4
9. OANDA Streaming high-frequency real-time Data.srt
8. Conclusion and Outlook
1. Conclusion and Outlook.mp4
1. Conclusion and Outlook.srt
9. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++
1. Introduction and Downloads Part 2.mp4
1. Introduction and Downloads Part 2.srt
1.1 Part2_Materials.zip
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