AlgoTrading101AT101 Algorithmic Trading Immersive CourseChapter 31 Connect with the outside world - Importing and Exporting Data out of our Trading Platform
1. Expanding our Trading Options - Reasons for Reading and Writing Data.pdf
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2. Download Code.pdf
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3. One number - Read and Write data (Part 1) .ts
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4. Multiple numbers - Read and Write data (Part 2) .ts
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5. Write to the end + Error Management - Read and Write data (Part 3) .ts
4. Variables contain different Types of Info - Data Types .ts
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5. The Simplest Table (Lists of Values) + Datetime Management.ts
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6. The Simplest Tables with Unchangeable Values - Tuples .ts
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7. If A happens, do B - Conditional Statements .ts
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8. Printing stuff - Formatting your texts and numbers.ts
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9. Meaning behind String Symbols.pdf
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10. Do Something Many Times in a Different Way - While Loops.ts
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11. Loops Practice 1 - Basic For Loops .pdf
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12. Do Something Many Times in a Different Way - While Loops.ts
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13. Loops Practice 2 - Basic While Loops _ AlgoTrading101.pdf
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14. Looping Twice - Nested Loops .ts
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15. Loops Practice 3 - Nested Loops _ AlgoTrading101.pdf
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16. If A then B, Many Times - Loops with Conditionals AlgoTrading101-master-t-1663332387001.ts
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17. Loops Practice 4 - Conditional Loops.pdf
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18. Answers to Loops Practice 1 to 4 .ts
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19. Loops with some Control (Continue, Break and Pass) .ts
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20. Loops Practice 5 - Calculating Stock Metrics .pdf
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21. Answers to Loops Practice 5 .ts
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22. For Loops without Range.pdf
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23. When to use For vs While Loops.pdf
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24. Get Data from CSV and TXT .ts
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25. Exporting dataframe to CSV.pdf
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26. Self-learning guide and getting help.pdf
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27. Elegant Code vs Learning Trading.pdf
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AlgoTrading101PT101 Practical Python for Finance & Trading MasterclassChapter 6 Strategy Design I - Differentiating Luck and Skill
1. Market Prudence is the most important concept.pdf
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2. Market Inefficiency Discovery vs Exploitation.pdf
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3. Retail vs Professional Traders - How to win.pdf
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124.3 KB
4. Us vs Hedge Funds.pdf
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5. Outwitting the Masses - Second-Order Thinking.pdf
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147.6 KB
6. How to choose what markets to trade.pdf
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AlgoTrading101PT101 Practical Python for Finance & Trading MasterclassChapter 7 Practical Statistics 101 - Making Sense of Key Figures
1. Calculating Long Term Expected Payout of a Robot.ts
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2. Statistical Significance and Law of Large Numbers - More is better .ts
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15.6 MB
3. What is an Abnormal Move – Understanding Standard Deviations.pdf
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4. Stock Returns Behaviour – Understanding Normal Distributions.pdf
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5. Minimum Sample Size and Application to Trading .ts
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6. Cointegration Simplified.pdf
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7. Optional Readings on Statistics_Updated for PT101.pdf
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8. Correlation and Sensitivity_Regression.pdf
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9. Real Role of Statistics in our Trading.pdf
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AlgoTrading101PT101 Practical Python for Finance & Trading MasterclassChapter 8 A Library for Data Analysis - Pandas (Not the lazy animal!)
1. Generating Random Numbers _ AlgoTrading101.pdf
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118.7 KB
2. What is Pandas and Why Do We Need It.pdf
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116.6 KB
3. Download Code for Chapter 8.pdf
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74.1 KB
4. Two Column Tables of Data - Dataframe (This one is important) .ts
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27.4 MB
5. Managing Dataframes - Editing our Tables .ts
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13.8 MB
6. Managing Dataframes 2 - Changing the Shape of our Dataframes .ts
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7. Datetime Management - Adding Dates to Dataframes .ts
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8. Pandas Exercise 1.pdf
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9. Change Data Type of Dataframe.pdf
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10. Dealing with NaN NaT.pdf
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11. Pandas Exercise 2.pdf
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12. What is a Pandas Series.pdf
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13 What is a Pandas Series .ts
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AlgoTrading101PT101 Practical Python for Finance & Trading MasterclassChapter 9 Strategy Design II - Creating Alpha Out of Thin Air The Magic of Synthetic Assets
1. Introduction to Synthetic Assets - Why Does It Produce Alpha .ts
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2. Types of Synthetic Assets - Hedging in Different Ways (Part 1).ts
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3. Types of Synthetic Assets - Hedging in Different Ways (Part 2) .ts
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4. Moving Beyond Spreads - Spread^2 and Others.pdf
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5. Download Code for the Chapter.pdf
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6. Practice 1 - Dollar hedging (Questions).pdf
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7. Practice 1 (Answers) - Dollar-Hedged Structure (Part 1) .ts
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8. Practice 1 (Answers) - Dollar-Hedged Structure (Part 2) .ts
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9. Manipulating the Shapes of Structures using Multipliers.ts
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10. Effect of multipliers on synthetic assets summary.pdf
AlgoTrading101PT101 Practical Python for Finance & Trading MasterclassChapter 11 (Strategy) Bond Futures Synthetic Structures - The Calendar Spreads I
1. Bond futures calendar spreads Part 1.pdf
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2. Bond Yields and Prices.pdf
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3. Bond futures calendar spreads Part 2.pdf
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4. Finding Alpha in STIR Futures.pdf
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5. Download code for this chapter.pdf
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6. Code to download BAX data.pdf
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7. Downloading and Cleaning BAX Data Correction .ts
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8. Calculating and Plotting a Double Butterfly in Python (Part 1).ts
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9. Calculating and Plotting a Double Butterfly in Python (Part 2) .ts
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10. Charting STIR Futures Structures on Tradingview.pdf
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11. List of STIR Futures - Common and Less Common STIRs.pdf
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12. Opening a Interactive Brokers Demo account to Trade STIR Futures.pdf
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13. Booktrader on Interactive Brokers.pdf
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14. Bond futures calendar spreads Part 3.pdf
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15. Bond futures calendar spreads Part 4.pdf
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16. Prepare for Battle - Set up your Interactive Brokers Layout (Part 1).ts
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17. Prepare for Battle - Set up your Interactive Brokers Layout (Part 2).ts
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18. Finding Your Asset in Interactive Brokers.pdf
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19. Mental Sums - Calculating Price of Double Butterfly from Booktraders.pdf
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20. Time for Battle! Demonstrating How to Execute a D.Butterfly (Part 1) .ts
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21. Time for Battle! Demonstrating How to Execute a D.Butterfly (Part 2) .ts
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Downloading and Cleaning BAX Data Correction.pdf
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Prepare for Battle - Set up your Interactive Brokers Layout (Part 2).pdf
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Time for Battle! Demonstrating How to Execute a D.Butterfly (Part 2).pdf
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AlgoTrading101PT101 Practical Python for Finance & Trading MasterclassChapter 12 (Strategy) Bond Futures Synthetic Structures - The Calendar Spreads II
1. New Weapon.pdf
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2. Demonstrating the new weapon - The Combination Order.ts
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40.6 MB
3. Understanding the IBKR Combination Order.pdf
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297.7 KB
4. Bond futures calendar spreads Part 5.pdf
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5. A New Weapon - Finding Opportunities in the Term Structure (Part 1).ts
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21.2 MB
6. A New Weapon - Finding Opportunities in the Term Structure (Part 2).ts
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7 .Term structure and STIR pricing.pdf
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8. Bond futures calendar spreads Part 6.pdf
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9. Bond futures calendar spreads Part 7.pdf
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10. Downloading and Storing BAX data in Bulk.pdf
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11. Capital requirements_how much do you need for bax stir trading.pdf
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12. Bond futures calendar spreads Part 8.pdf
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13. STIR Trade Sizing and Non.pdf
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14. A New Weapon - Finding Opportunities in the Term Structure (Part 2).pdf
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15. BAX End Note.pdf
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AlgoTrading101PT101 Practical Python for Finance & Trading MasterclassChapter 13 Python Basics 3 - Functions and OOP
1. Those who are good at Python can skip this chapter.pdf
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2. What are functions_little factories.pdf
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3. Download Code.pdf
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4.1 User-Defined Functions - Learn to Code Your Own Factories! Building a user-defined functionMultiple inputs .ts
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4. User-Defined Functions - Learn to Code Your Own Factories!.ts
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33.3 MB
5. Function Questions 1.pdf
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6. Functions Practice 1 - Solutions (Part 1).ts
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26.4 MB
7. Functions Practice 1 - Solutions (Part 2) AlgoTrading101-master-t-1649334831001.ts
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8. What are Scripts - Simple Python file (Also How to import your own code) .ts
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26.9 MB
9. Uses of Python scripts vs Jupyter Notebooks.pdf
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10. Modules vs Libraries vs Packages - Understanding the Terminologies _ AlgoTrading101.pdf
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11. OOP Series - Object-Oriented Programming (OOP) Simplified. Objects store values andor does stuff.ts
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12. OOP Series - Difference between Classes and Objects.ts