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[ DevCourseWeb.com ] Python for Finance - Investment Fundamentals and Data Analytics
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Get Bonus Downloads Here.url - 182 B
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~Get Your Files Here !
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01 - Welcome! Course Introduction
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001 What Does the Course Cover.mp4 - 39.89 MB
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001 What Does the Course Cover_en.srt - 7.38 KB
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002 Course-Resources.url - 97 B
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002 Download Useful Resources - Exercises and Solutions.mp4 - 6.96 MB
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002 Download Useful Resources - Exercises and Solutions_en.srt - 3.77 KB
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002 Python-for-Finance-FAQ.pdf - 520.82 KB
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external-links.txt - 99 B
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02 - Introduction to programming with Python
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001 Programming Explained in 5 Minutes.mp4 - 15.16 MB
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001 Programming Explained in 5 Minutes_en.srt - 7.09 KB
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001 Python-for-Finance-Course-Notes-Part-I.pdf - 2.15 MB
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002 Why Python.mp4 - 12.51 MB
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002 Why Python_en.srt - 7.14 KB
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003 Why Jupyter.mp4 - 8.15 MB
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003 Why Jupyter_en.srt - 4.74 KB
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004 Installing Python and Jupyter.mp4 - 34.93 MB
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004 Installing Python and Jupyter_en.srt - 9.64 KB
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005 Jupyter’s Interface – the Dashboard.mp4 - 6.03 MB
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005 Jupyter’s Interface – the Dashboard_en.srt - 4.11 KB
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006 Jupyter-Shortcuts.pdf - 589.59 KB
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006 Jupyter’s Interface – Prerequisites for Coding.mp4 - 19.01 MB
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006 Jupyter’s Interface – Prerequisites for Coding_en.srt - 8.06 KB
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007 Python 2 vs Python 3 What's the Difference.mp4 - 6.11 MB
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007 Python 2 vs Python 3 What's the Difference_en.srt - 3.67 KB
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007 Python-for-Finance-Course-Notes-Part-I.pdf - 2.15 MB
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03 - Python Variables and Data Types
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001 Variables-Resources.url - 97 B
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001 Variables.mp4 - 21.85 MB
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001 Variables_en.srt - 6.58 KB
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002 Numbers and Boolean Values.mp4 - 6.53 MB
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002 Numbers and Boolean Values_en.srt - 3.78 KB
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002 Numbers-and-Boolean-Values-Resources.url - 97 B
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003 Strings-Resources.url - 97 B
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003 Strings.mp4 - 19.71 MB
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003 Strings_en.srt - 8.9 KB
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external-links.txt - 321 B
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04 - Basic Python Syntax
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001 Arithmetic Operators.mp4 - 7.29 MB
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001 Arithmetic Operators_en.srt - 4.46 KB
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001 Arithmetic-Operators-Resources.url - 97 B
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002 The Double Equality Sign.mp4 - 2.74 MB
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002 The Double Equality Sign_en.srt - 1.92 KB
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002 The-Double-Equality-Sign-Resources.url - 97 B
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003 Reassign Values.mp4 - 1.9 MB
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003 Reassign Values_en.srt - 1.51 KB
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003 Reassign-Values-Resources.url - 97 B
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004 Add Comments.mp4 - 2.37 MB
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004 Add Comments_en.srt - 1.95 KB
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004 Add-Comments-Resources.url - 97 B
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005 Line Continuation.mp4 - 1.18 MB
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005 Line Continuation_en.srt - 1.18 KB
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005 Line-Continuation-Resources.url - 97 B
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006 Indexing Elements.mp4 - 2.42 MB
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006 Indexing Elements_en.srt - 1.78 KB
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006 Indexing-Elements-Resources.url - 97 B
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007 Structure Your Code with Indentation.mp4 - 2.78 MB
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007 Structure Your Code with Indentation_en.srt - 2.29 KB
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007 Structure-Your-Code-with-Indentation-Resources.url - 97 B
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external-links.txt - 792 B
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05 - Python Operators Continued
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001 Comparison Operators.mp4 - 4.15 MB
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001 Comparison Operators_en.srt - 2.79 KB
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001 Comparison-Operators-Resources.url - 97 B
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002 Logical and Identity Operators.mp4 - 15.15 MB
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002 Logical and Identity Operators_en.srt - 6.81 KB
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002 Logical-and-Identity-Operators-Resources.url - 97 B
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external-links.txt - 236 B
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06 - Conditional Statements
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001 Introduction to the IF statement.mp4 - 5.28 MB
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001 Introduction to the IF statement_en.srt - 3.9 KB
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001 Introduction-to-the-If-Statement-Resources.url - 97 B
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002 Add an ELSE statement.mp4 - 5.2 MB
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002 Add an ELSE statement_en.srt - 3.4 KB
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002 Add-an-Else-Statement-Resources.url - 97 B
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003 Else if, for Brief – ELIF.mp4 - 25.11 MB
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003 Else if, for Brief – ELIF_en.srt - 7.02 KB
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003 Else-if-for-Brief-Elif-Resources.url - 97 B
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004 A Note on Boolean Values.mp4 - 4.22 MB
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004 A Note on Boolean Values_en.srt - 3.1 KB
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004 A-Note-on-Boolean-Values-Resources.url - 97 B
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external-links.txt - 471 B
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07 - Python Functions
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001 Defining a Function in Python.mp4 - 3.22 MB
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001 Defining a Function in Python_en.srt - 2.69 KB
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001 Defining-a-Function-in-Python-Resources.url - 97 B
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002 Creating a Function with a Parameter.mp4 - 8.12 MB
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002 Creating a Function with a Parameter_en.srt - 4.59 KB
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002 Creating-a-Function-with-a-Parameter-Resources.url - 97 B
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003 Another Way to Define a Function.mp4 - 5.34 MB
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003 Another Way to Define a Function_en.srt - 3.25 KB
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003 Another-Way-to-Define-a-Function-Resources.url - 97 B
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004 Using a Function in another Function.mp4 - 3.15 MB
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004 Using a Function in another Function_en.srt - 2.19 KB
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004 Using-a-Function-in-Another-Function-Resources.url - 97 B
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005 Combining Conditional Statements and Functions.mp4 - 5.96 MB
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005 Combining Conditional Statements and Functions_en.srt - 3.68 KB
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005 Combining-Conditional-Statements-and-Functions-Resources.url - 97 B
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006 Creating Functions Containing a Few Arguments.mp4 - 2.75 MB
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006 Creating Functions Containing a Few Arguments_en.srt - 1.56 KB
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006 Creating-Functions-Containing-a-Few-Arguments-Resources.url - 97 B
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007 Notable Built-in Functions in Python.mp4 - 8.44 MB
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007 Notable Built-in Functions in Python_en.srt - 4.38 KB
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007 Notable-Built-In-Functions-in-Python-Resources.url - 97 B
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external-links.txt - 911 B
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08 - Python Sequences
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001 Lists-Resources.url - 97 B
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001 Lists.mp4 - 9.43 MB
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001 Lists_en.srt - 5.21 KB
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002 Using Methods.mp4 - 7.86 MB
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002 Using Methods_en.srt - 4.23 KB
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002 Using-Methods-Resources.url - 97 B
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003 List Slicing.mp4 - 18.76 MB
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003 List Slicing_en.srt - 5.81 KB
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003 List-Slicing-Resources.url - 97 B
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004 Tuples-Resources.url - 97 B
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004 Tuples.mp4 - 7.39 MB
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004 Tuples_en.srt - 3.55 KB
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005 Dictionaries-Resources.url - 97 B
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005 Dictionaries.mp4 - 10.04 MB
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005 Dictionaries_en.srt - 4.66 KB
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external-links.txt - 513 B
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09 - Using Iterations in Python
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001 For Loops.mp4 - 5.46 MB
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001 For Loops_en.srt - 3.63 KB
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001 For-Loops-Resources.url - 97 B
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002 While Loops and Incrementing.mp4 - 9.12 MB
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002 While Loops and Incrementing_en.srt - 2.94 KB
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002 While-Loops-and-Incrementing-Resources.url - 97 B
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003 Create Lists with the range() Function.mp4 - 6.86 MB
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003 Create Lists with the range() Function_en.srt - 5.04 KB
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003 Create-Lists-with-the-range-Function-Resources.url - 97 B
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004 Use Conditional Statements and Loops Together.mp4 - 7.1 MB
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004 Use Conditional Statements and Loops Together_en.srt - 3.93 KB
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004 Use-Conditional-Statements-and-Loops-Together-Resources.url - 97 B
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005 All In – Conditional Statements, Functions, and Loops.mp4 - 4.2 MB
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005 All In – Conditional Statements, Functions, and Loops_en.srt - 2.51 KB
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005 All-In-Conditional-Statements-Functions-and-Loops-Resources.url - 97 B
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006 Iterating over Dictionaries.mp4 - 6.44 MB
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006 Iterating over Dictionaries_en.srt - 4.14 KB
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006 Iterating-over-Dictionaries-Resources.url - 97 B
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external-links.txt - 752 B
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10 - Advanced Python tools
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001 Object Oriented Programming.mp4 - 26.1 MB
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001 Object Oriented Programming_en.srt - 6.36 KB
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002 Modules and Packages.mp4 - 1.97 MB
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002 Modules and Packages_en.srt - 1.34 KB
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003 The Standard Library.mp4 - 4.85 MB
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003 The Standard Library_en.srt - 3.7 KB
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004 Importing Modules.mp4 - 8.7 MB
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004 Importing Modules_en.srt - 5.09 KB
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004 Importing-Modules-Resources.url - 97 B
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005 47-Packages-Exercise.pdf - 256.13 KB
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005 Must-have packages for Finance and Data Science.mp4 - 18.08 MB
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005 Must-have packages for Finance and Data Science_en.srt - 5.78 KB
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005 Must-have-packages-for-Finance-and-Data-Science.url - 97 B
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006 Working with arrays.mp4 - 12.03 MB
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006 Working with arrays_en.srt - 7.57 KB
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006 Working-with-arrays-Resources.url - 97 B
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007 Generating Random Numbers.mp4 - 6.22 MB
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007 Generating Random Numbers_en.srt - 3.25 KB
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007 Generating-Random-Numbers-Resources.url - 97 B
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008 A Note on Using Financial Data in Python.mp4 - 5.92 MB
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008 A Note on Using Financial Data in Python_en.srt - 3.48 KB
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009 Sources of Financial Data.mp4 - 12.24 MB
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009 Sources of Financial Data_en.srt - 8.64 KB
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010 Accessing the Notebook Files.mp4 - 4.71 MB
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010 Accessing the Notebook Files_en.srt - 3.31 KB
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011 Importing and Organizing Data in Python – part I.mp4 - 12.42 MB
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011 Importing and Organizing Data in Python – part I_en.srt - 4.55 KB
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011 Importing-Data-Part-I.url - 97 B
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012 Importing and Organizing Data in Python – part II.A.mp4 - 57.23 MB
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012 Importing and Organizing Data in Python – part II.A_en.srt - 8.36 KB
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012 Importing-and-Organizing-Data-in-Python-Resources.url - 97 B
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013 Importing and Organizing Data in Python – part II.B.mp4 - 23.78 MB
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013 Importing and Organizing Data in Python – part II.B_en.srt - 5.3 KB
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013 Importing-and-Organizing-Data-in-Python-Resources.url - 97 B
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014 Importing and Organizing Data in Python – part III.mp4 - 25.58 MB
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014 Importing and Organizing Data in Python – part III_en.srt - 4.78 KB
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014 Importing-and-Organizing-Data-in-Python-Resources.url - 97 B
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015 Changing the Index of Your Time-Series Data.mp4 - 21.52 MB
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015 Changing the Index of Your Time-Series Data_en.srt - 3.77 KB
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015 Changing-the-Index-of-Your-Time-Series-Resources.url - 97 B
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016 Restarting the Jupyter Kernel.mp4 - 20.37 MB
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016 Restarting the Jupyter Kernel_en.srt - 2.92 KB
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016 Restarting-the-Jupyter-Kernel-Resources.url - 97 B
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external-links.txt - 1.19 KB
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11 - PART II FINANCE Calculating and Comparing Rates of Return in Python
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001 Considering both risk and return.mp4 - 6.74 MB
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001 Considering both risk and return_en.srt - 3.09 KB
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001 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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002 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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002 What are we going to see next.mp4 - 4.93 MB
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002 What are we going to see next_en.srt - 3.33 KB
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003 Calculating a security's rate of return.mp4 - 9.77 MB
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003 Calculating a security's rate of return_en.srt - 6.71 KB
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003 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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004 Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4 - 212.99 MB
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004 Simple-Returns-Part-I-Resources.url - 97 B
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005 Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.mp4 - 138.28 MB
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005 Simple-Returns-Part-II-Resources.url - 97 B
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006 Calculating a Security’s Return in Python – Logarithmic Returns.mp4 - 146.1 MB
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006 Calculating a Security’s Return in Python – Logarithmic Returns_en.srt - 4.51 KB
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006 Logarithmic-Returns-Resources.url - 97 B
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007 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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007 What is a portfolio of securities and how to calculate its rate of return.mp4 - 106.44 MB
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008 Calculating a Portfolio of Securities' Rate of Return.mp4 - 338.17 MB
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008 Calculating a Portfolio of Securities' Rate of Return_en.srt - 10.68 KB
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008 Calculating-the-Return-of-a-Portfolio-of-Securities-Resources.url - 97 B
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009 Popular stock indices that can help us understand financial markets.mp4 - 135.73 MB
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009 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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010 Calculating the Indices' Rate of Return.mp4 - 31.89 MB
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010 Calculating the Indices' Rate of Return_en.srt - 6.3 KB
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010 Calculating-the-Return-of-Indices-Resources.url - 97 B
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010 Indices-Data-1.csv - 232.89 KB
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010 Indices-Data-2.csv - 112.19 KB
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external-links.txt - 611 B
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12 - PART II Finance Measuring Investment Risk
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001 How do we measure a security's risk.mp4 - 11.53 MB
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001 How do we measure a security's risk_en.srt - 7.18 KB
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001 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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002 Calculating a Security’s Risk in Python.mp4 - 37.4 MB
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002 Calculating a Security’s Risk in Python_en.srt - 7.09 KB
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002 Calculating-the-Risk-of-a-Security-Resources.url - 97 B
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003 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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003 The benefits of portfolio diversification.mp4 - 6.71 MB
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003 The benefits of portfolio diversification_en.srt - 4.89 KB
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004 Calculating the covariance between securities.mp4 - 8.63 MB
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004 Calculating the covariance between securities_en.srt - 4.56 KB
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004 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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005 Measuring the correlation between stocks.mp4 - 6.31 MB
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005 Measuring the correlation between stocks_en.srt - 4.91 KB
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005 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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006 Calculating Covariance and Correlation.mp4 - 17.05 MB
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006 Calculating Covariance and Correlation_en.srt - 5.98 KB
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006 Calculating-Covariance-and-Correlation-Resources.url - 97 B
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007 Considering the risk of multiple securities in a portfolio.mp4 - 34.97 MB
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007 Considering the risk of multiple securities in a portfolio_en.srt - 3.92 KB
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007 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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008 Calculating Portfolio Risk.mp4 - 8.9 MB
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008 Calculating Portfolio Risk_en.srt - 3.13 KB
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008 Calculating-Portfolio-Risk-Resources.url - 97 B
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009 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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009 Understanding Systematic vs. Idiosyncratic risk.mp4 - 5.74 MB
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009 Understanding Systematic vs. Idiosyncratic risk_en.srt - 3.59 KB
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010 Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4 - 15.61 MB
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010 Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio_en.srt - 5.16 KB
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010 Diversifiable-and-Non-Diversifiable-Risk-Resources.url - 97 B
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external-links.txt - 510 B
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13 - PART II Finance - Using Regressions for Financial Analysis
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001 Housing-Data.xlsx - 14.44 KB
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001 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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001 The fundamentals of simple regression analysis.mp4 - 6.85 MB
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001 The fundamentals of simple regression analysis_en.srt - 4.96 KB
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002 Housing.xlsx - 10.04 KB
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002 Running a Regression in Python.mp4 - 18.63 MB
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002 Running a Regression in Python_en.srt - 7.95 KB
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002 Running-a-Regression-in-Python-Resources.url - 97 B
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003 Are all regressions created equal Learning how to distinguish good regressions.mp4 - 195.21 MB
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003 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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004 Computing Alpha, Beta, and R Squared in Python.mp4 - 22.39 MB
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004 Computing Alpha, Beta, and R Squared in Python_en.srt - 6.82 KB
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004 Computing-Alpha-Beta-and-R-Squared-in-Python-Resources.url - 97 B
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004 Housing.xlsx - 10.04 KB
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external-links.txt - 260 B
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14 - PART II Finance - Markowitz Portfolio Optimization
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001 14.Markowitz-Efficient-frontier.xlsx - 15.49 KB
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001 Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 - 33.13 MB
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001 Markowitz Portfolio Theory - One of the main pillars of modern Finance_en.srt - 7.46 KB
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001 Python-for-Finance-Course-Notes-Part-II.pdf - 1.36 MB
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002 Markowitz-Data.csv - 58.62 KB
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002 Obtaining the Efficient Frontier in Python – Part I.mp4 - 31.88 MB
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002 Obtaining the Efficient Frontier in Python – Part I_en.srt - 6.48 KB
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002 Obtaining-the-Efficient-Frontier-in-Python-Part-I-Resources.url - 97 B
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003 Markowitz-Data.csv - 58.62 KB
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003 Obtaining the Efficient Frontier in Python – Part II.mp4 - 18.75 MB
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003 Obtaining the Efficient Frontier in Python – Part II_en.srt - 6.1 KB
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003 Obtaining-the-Efficient-Frontier-in-Python-Part-II-Resources.url - 97 B
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004 Markowitz-Data.csv - 58.62 KB
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004 Obtaining the Efficient Frontier in Python – Part III.mp4 - 11.17 MB
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004 Obtaining the Efficient Frontier in Python – Part III_en.srt - 2.78 KB
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004 Obtaining-the-Efficient-Frontier-in-Python-Part-III-Resources.url - 97 B
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external-links.txt - 429 B
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15 - Part II Finance - The Capital Asset Pricing Model
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001 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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001 The intuition behind the Capital Asset Pricing Model (CAPM).mp4 - 9.48 MB
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001 The intuition behind the Capital Asset Pricing Model (CAPM)_en.srt - 6.31 KB
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002 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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002 Understanding and calculating a security's Beta.mp4 - 7.55 MB
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002 Understanding and calculating a security's Beta_en.srt - 5.13 KB
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003 CAPM-Data.csv - 40.72 KB
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003 Calculating the Beta of a Stock.mp4 - 13.25 MB
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003 Calculating the Beta of a Stock_en.srt - 4.49 KB
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003 Calculating-the-Beta-of-a-Stock-Resources.url - 97 B
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004 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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004 The CAPM formula.mp4 - 7.32 MB
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004 The CAPM formula_en.srt - 5.67 KB
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005 CAPM-Data.csv - 40.72 KB
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005 Calculating the Expected Return of a Stock (CAPM).mp4 - 9.59 MB
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005 Calculating the Expected Return of a Stock (CAPM)_en.srt - 2.84 KB
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005 Calculating-the-Expected-Return-of-a-Stock-CAPM-Resources.url - 97 B
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006 Introducing the Sharpe ratio and how to put it into practice.mp4 - 4.18 MB
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006 Introducing the Sharpe ratio and how to put it into practice_en.srt - 3.05 KB
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006 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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007 CAPM-Data.csv - 40.72 KB
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007 Estimating-the-Sharpe-Ratio-in-Python-Resources.url - 97 B
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007 Obtaining the Sharpe ratio in Python.mp4 - 2.87 MB
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007 Obtaining the Sharpe ratio in Python_en.srt - 1.73 KB
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008 Measuring alpha and verifying how good (or bad) a portfolio manager is doing.mp4 - 166.74 MB
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008 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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external-links.txt - 394 B
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16 - Part II Finance Multivariate regression analysis
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001 Multivariate regression analysis - a valuable tool for finance practitioners.mp4 - 27.18 MB
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001 Multivariate regression analysis - a valuable tool for finance practitioners_en.srt - 7.02 KB
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001 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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002 Housing.xlsx - 10.04 KB
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002 Running a multivariate regression in Python.mp4 - 52.63 MB
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002 Running a multivariate regression in Python_en.srt - 8.06 KB
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002 Running-a-Multivariate-Regression-in-Python-Resources.url - 97 B
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external-links.txt - 136 B
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17 - PART II Finance - Monte Carlo simulations as a decision-making tool
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001 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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001 The essence of Monte Carlo simulations.mp4 - 11.67 MB
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001 The essence of Monte Carlo simulations_en.srt - 3.27 KB
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001 The-Essence-of-Monte-Carlo-Simulations-Resources.url - 97 B
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002 Monte Carlo applied in a Corporate Finance context.mp4 - 99.71 MB
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002 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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003 Monte Carlo Predicting Gross Profit – Part I.mp4 - 33.6 MB
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003 Monte Carlo Predicting Gross Profit – Part I_en.srt - 7.18 KB
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003 Monte-Carlo-Predicting-Gross-Profit-Part-I-Resources.url - 97 B
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004 Monte Carlo Predicting Gross Profit – Part II.mp4 - 16.59 MB
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004 Monte Carlo Predicting Gross Profit – Part II_en.srt - 3.89 KB
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004 Monte-Carlo-Predicting-Gross-Profit-Part-II-Resources.url - 97 B
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005 Forecasting Stock Prices with a Monte Carlo Simulation.mp4 - 177.21 MB
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006 Monte Carlo Forecasting Stock Prices - Part I.mp4 - 16.53 MB
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006 Monte Carlo Forecasting Stock Prices - Part I_en.srt - 4.53 KB
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006 Monte-Carlo-Predicting-Stock-Prices-Part-I-Resources.url - 97 B
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007 Monte Carlo Forecasting Stock Prices - Part II.mp4 - 17.4 MB
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007 Monte Carlo Forecasting Stock Prices - Part II_en.srt - 5.61 KB
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007 Predicting-Stock-Prices-Part-II-Resources.url - 97 B
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008 Monte Carlo Forecasting Stock Prices - Part III.mp4 - 20.75 MB
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008 Monte Carlo Forecasting Stock Prices - Part III_en.srt - 5.45 KB
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008 Predicting-Stock-Prices-Part-III-Resources.url - 97 B
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009 An Introduction to Derivative Contracts.mp4 - 11.36 MB
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009 An Introduction to Derivative Contracts_en.srt - 8.22 KB
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009 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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010 Python-for-Finance-Course-Notes-Part-II.pdf - 1.02 MB
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010 The Black Scholes Formula for Option Pricing.mp4 - 8.82 MB
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010 The Black Scholes Formula for Option Pricing_en.srt - 6.21 KB
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011 Monte Carlo Black-Scholes-Merton.mp4 - 28.99 MB
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011 Monte Carlo Black-Scholes-Merton_en.srt - 7.78 KB
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011 Monte-Carlo-Black-Scholes-Merton-Resources.url - 97 B
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012 Monte Carlo Euler Discretization - Part I.mp4 - 30.4 MB
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012 Monte Carlo Euler Discretization - Part I_en.srt - 8.4 KB
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012 Monte-Carlo-Euler-Discretization-Part-I-Resources.url - 97 B
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013 Monte Carlo Euler Discretization - Part II.mp4 - 8.73 MB
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013 Monte Carlo Euler Discretization - Part II_en.srt - 3.01 KB
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013 Monte-Carlo-Euler-Discretization-Part-II-Resources.url - 97 B
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external-links.txt - 1.15 KB
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18 - APPENDIX - pandas Fundamentals
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001 pandas Series - Introduction.mp4 - 21.83 MB
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001 pandas Series - Introduction_en.srt - 10.82 KB
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001 pandas-DataFrames-Introduction-Exercise.ipynb - 3.77 KB
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001 pandas-DataFrames-Introduction-Lecture.ipynb - 2.28 KB
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001 pandas-DataFrames-Introduction-Solution.ipynb - 16.88 KB
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002 pandas - Working with Methods - Part I.mp4 - 19.37 MB
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002 pandas - Working with Methods - Part I_en.srt - 6.97 KB
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002 pandas-Working-with-Methods-Part-I-Lecture.ipynb - 2.67 KB
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003 pandas - Working with Methods - Part II.mp4 - 8.94 MB
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003 pandas - Working with Methods - Part II_en.srt - 3.67 KB
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003 pandas-Working-with-Methods-Exercise.ipynb - 2.15 KB
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003 pandas-Working-with-Methods-Part-II-Lecture.ipynb - 2.03 KB
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003 pandas-Working-with-Methods-Solution.ipynb - 3.05 KB
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004 Using-Parameters-and-Arguments-Exercise.ipynb - 2.02 KB
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004 Using-Parameters-and-Arguments-Lecture.ipynb - 2.36 KB
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004 Using-Parameters-and-Arguments-Solution.ipynb - 2.8 KB
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004 pandas - Using Parameters and Arguments.mp4 - 15.29 MB
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004 pandas - Using Parameters and Arguments_en.srt - 5.54 KB
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005 Location.csv - 13.49 KB
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005 Region.csv - 10.22 KB
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005 pandas Series - .unique() and .nunique().mp4 - 26.08 MB
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005 pandas Series - .unique() and .nunique()_en.srt - 5.54 KB
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005 pandas-Series.unique-and.nunique-Exercise.ipynb - 2.67 KB
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005 pandas-Series.unique-and.nunique-Lecture.ipynb - 2.51 KB
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005 pandas-Series.unique-and.nunique-Solution.ipynb - 4.71 KB
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006 Location.csv - 13.49 KB
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006 Region.csv - 10.22 KB
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006 pandas Series - .sort_values().mp4 - 13.03 MB
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006 pandas Series - .sort_values()_en.srt - 5.65 KB
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006 pandas-Series.sort-values-Exercise.ipynb - 2.51 KB
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006 pandas-Series.sort-values-Lecture.ipynb - 2.31 KB
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006 pandas-Series.sort-values-Solution.ipynb - 4.59 KB
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007 pandas DataFrames - Introduction - Part I.mp4 - 10.63 MB
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007 pandas DataFrames - Introduction - Part I_en.srt - 7.08 KB
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008 Lending-company.csv - 112.43 KB
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008 Sales-products.csv - 152.28 KB
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008 pandas DataFrames - Introduction - Part II.mp4 - 20.43 MB
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008 pandas DataFrames - Introduction - Part II_en.srt - 7.64 KB
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008 pandas-Series-Introduction-Exercise.ipynb - 5.15 KB
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008 pandas-Series-Introduction-Lecture.ipynb - 3.12 KB
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008 pandas-Series-Introduction-Solution.ipynb - 7.9 KB
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009 Lending-company.csv - 112.43 KB
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009 Sales-products.csv - 152.28 KB
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009 pandas DataFrames - Common Attributes.mp4 - 25.46 MB
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009 pandas DataFrames - Common Attributes_en.srt - 6.28 KB
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009 pandas-DataFrames-Common-Attributes-Exercise.ipynb - 7.21 KB
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009 pandas-DataFrames-Common-Attributes-Lecture.ipynb - 2.87 KB
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009 pandas-DataFrames-Common-Attributes-Solution.ipynb - 23.2 KB
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010 Lending-company.csv - 112.43 KB
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010 Sales-products.csv - 152.28 KB
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010 pandas DataFrames - Data Selection.mp4 - 46.8 MB
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010 pandas DataFrames - Data Selection_en.srt - 10.23 KB
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010 pandas-DataFrames-Data-Selection-Exercise.ipynb - 4.88 KB
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010 pandas-DataFrames-Data-Selection-Lecture.ipynb - 2.95 KB
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010 pandas-DataFrames-Data-Selection-Solution.ipynb - 17.28 KB
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011 Lending-company.csv - 112.43 KB
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011 Sales-products.csv - 152.28 KB
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011 pandas DataFrames - Data Selection with .iloc[].mp4 - 32.06 MB
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011 pandas DataFrames - Data Selection with .iloc[]_en.srt - 8.24 KB
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011 pandas-DataFrames-Data-Selection.iloc-Exercise.ipynb - 5.41 KB
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011 pandas-DataFrames-Data-Selection.iloc-Lecture.ipynb - 3.04 KB
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011 pandas-DataFrames-Data-Selection.iloc-Solution.ipynb - 18.96 KB
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012 Lending-company.csv - 112.43 KB
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012 Sales-products.csv - 152.28 KB
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012 pandas DataFrames - Data Selection with .loc[].mp4 - 20.72 MB
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012 pandas DataFrames - Data Selection with .loc[]_en.srt - 5.55 KB
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012 pandas-DataFrames-Data-Selection.loc-Exercise.ipynb - 2.87 KB
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012 pandas-DataFrames-Data-Selection.loc-Lecture.ipynb - 2.31 KB
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012 pandas-DataFrames-Data-Selection.loc-Solution.ipynb - 14.28 KB
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19 - APPENDIX - Technical Analysis
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001 Technical Analysis - Principles, Applications, Assumptions.mp4 - 8.35 MB
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001 Technical Analysis - Principles, Applications, Assumptions_en.srt - 4.53 KB
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002 Charts Used in Technical Analysis.mp4 - 25.74 MB
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002 Charts Used in Technical Analysis_en.srt - 8.41 KB
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003 Other Tools Used in Technical Analysis.mp4 - 13.19 MB
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003 Other Tools Used in Technical Analysis_en.srt - 2.84 KB
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004 Trend, Support and Resistance Lines.mp4 - 27.79 MB
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004 Trend, Support and Resistance Lines_en.srt - 6.15 KB
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005 Common Chart Patterns.mp4 - 16.03 MB
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005 Common Chart Patterns_en.srt - 6.62 KB
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006 Price Indicators.mp4 - 18.18 MB
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006 Price Indicators_en.srt - 5.85 KB
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007 Momentum Oscillators.mp4 - 13.85 MB
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007 Momentum Oscillators_en.srt - 5.44 KB
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008 Non-price Based Indicators.mp4 - 13.36 MB
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008 Non-price Based Indicators_en.srt - 7.03 KB
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009 Technical Analysis - Cycles.mp4 - 15.87 MB
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009 Technical Analysis - Cycles_en.srt - 5.82 KB
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010 Intermarket Analysis.mp4 - 3.45 MB
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010 Intermarket Analysis_en.srt - 1.78 KB
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20 - BONUS LECTURE
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001 Bonus Lecture Next Steps.html - 2.72 KB
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Bonus Resources.txt - 386 B
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InfoHash:
25A9AE032EDB7EF6C296764B47AB1351ADF81840
Last updated:
Aug 18, 2023
File count:
434 B
File Category:
9
Tags:
Other, Tutorials