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Algorithmic Stock Trading and Equity Investing with Python
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[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python (Size: 11.95 GB) (Files: 663)
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python
3. Equity Markets and Stock TradingInvesting
5. Investing vs. Trading.mp4
1. Asset Classes - Overview.mp4
2. Equities vs. Fixed Income.mp4
3. Equities - Categories and Sub Classes.mp4
4. Top-Down vs. Bottom-Up.mp4
5. Equity Analysis with Python (Part 1)
4. yfinance API - first steps.mp4
10. Stock Splits.mp4
9. What´s the Adjusted Close Price.mp4
13. Saving and Loading Data (Local Files).mp4
8. Dividends.mp4
7. Data Frequency.mp4
6. Analysis Period.mp4
1. Yahoo Finance - Overview.mp4
12. Multiple Tickers.mp4
11. Stocks from other Countries Exchanges.mp4
14. Coding Challenge.mp4
2. How to open and work with the Course Notebooks.mp4
5. Excursus Versions and Package Updates.mp4
3. How to Install yfinance.mp4
7. Equity Analysis with Python (Part 2)
5. Market Value vs. Book Value (Part 1).mp4
3. Price vs. Value and Market Efficiency.mp4
6. Market Value vs. Book Value (Part 2).mp4
8. Market Value vs. Book Value (Part 3).mp4
9. How to load Financial Statements.mp4
7. Liquidation Value.mp4
2. Price, Shares Outstanding & Market Capitalization.mp4
1. Getting more Information on Stocks - the Ticker Object.mp4
4. Equity Value, Firm Value and Financial Distress.mp4
6. Excursus How to avoid and debug Coding Errors (don´t skip!)
11. How to traceback more complex Errors.mp4
2. Test your debugging skills!.mp4
5. Omitting cells, changing the sequence and more.mp4
10. Getting help on StackOverflow.com.mp4
4. The most commonly made Errors at a glance.mp4
12. Problems with the Python Installation.mp4
6. IndexErrors.mp4
15. Summary and Debugging Flow-Chart.mp4
13. External Factors and Issues.mp4
1. Introduction.mp4
9. TypeErrors and ValueErrors.mp4
14. Errors related to the course content (Transcription Errors).mp4
8. Misuse of function names and keywords.mp4
7. Indentation Errors.mp4
3. Major reasons for Coding Errors.mp4
11. Financial Data Analysis and Performance Evaluation
16. (Non-) Normality of Financial Returns.mp4
14. Comparing the Performance of Financial Instruments.mp4
19. Rolling Statistics.mp4
9. Discrete Compounding.mp4
5. Price changes and Financial Returns.mp4
27. Margin Trading and Levered Returns (Part 2).mp4
24. Covariance and Correlation.mp4
18. Resampling Smoothing of Financial Data.mp4
3. Normalizing Time Series to a Base Value (100).mp4
7. Investment Multiple and CAGR.mp4
4. Coding Challenge #1.mp4
21. Introduction to Currencies (Forex) and Trading.mp4
13. Simple Returns vs Log Returns ( Part 2).mp4
10. Continuous Compounding.mp4
2. Initial Data Inspection and Visualization.mp4
12. Simple Returns vs Log Returns ( Part 1).mp4
6. Reward and Risk of Financial Instruments.mp4
8. Compound Returns & Geometric Mean Return.mp4
1. Introduction and Overview.mp4
26. Margin Trading and Levered Returns (Part 1).mp4
23. Short Selling and Short Position Returns (Part 3).mp4
17. Annualizing Return and Risk.mp4
22. Short Selling and Short Position Returns (Part 2).mp4
25. Portfolios and Portfolio Returns.mp4
15. Price Return vs. Total Return (Stocks).mp4
20. Short Selling and Short Position Returns (Part 1).mp4
11. Log Returns.mp4
9. Introduction to Interactive Brokers (IKBR) and API Trading
18. Market Orders and Trades.mp4
9. Trading Costs - Commissions.mp4
16. Contracts (Advanced).mp4
20. Historical Data (Bars).mp4
5. The first Trades on TWS.mp4
10. Trading Costs - other (hidden) Costs.mp4
14. How to get Market Data.mp4
17. Coding Challenge Get Contracts for all DJIA Constituents.mp4
6. Trading Hours.mp4
4. TWS - First Steps.mp4
1. Welcome to IKBR.mp4
19. Positions and Account Values.mp4
13. Contracts (Introduction).mp4
7. Cash Account vs. Margin Account.mp4
2. How to create a Paper Trading Account.mp4
11. How to download and install the API Wrapper & other Preparations.mp4
3. How to Install the IB Trader Workstation (TWS).mp4
12. Connecting to the API.mp4
8. Fractional Trading.mp4
15. Data Streaming for Mulitple Tickers.mp4
28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course
50. Customization of Plots.mp4
30. Slicing Rows and Columns with loc (label-based indexing).mp4
13. Coding Exercise 7.mp4
33. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4
55. Categorical Seaborn Plots.mp4
27. Selecting Rows with iloc (position-based indexing).mp4
56. Seaborn Regression Plots.mp4
21. Create your very first Pandas DataFrame (from csv).mp4
38. Changing Row Index with set_index() and reset_index().mp4
46. Handling NA Values missing Values.mp4
23. First Data Inspection.mp4
49. Visualization with Matplotlib (Intro).mp4
44. Advanced Filtering with between(), isin() and ~.mp4
48. Summary Statistics and Accumulations.mp4
41. Filtering DataFrames (one Condition).mp4
31. Summary, Best Practices and Outlook.mp4
22. Pandas Display Options and the methods head() & tail().mp4
61. Splitting with many Keys.mp4
62. split-apply-combine.mp4
12. Creating Numpy Arrays from Scratch.mp4
60. Understanding the GroupBy Object.mp4
2. Numpy Arrays.mp4
45. Intro to NA Values missing Values.mp4
37. First Steps with Pandas Index Objects.mp4
34. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4
57. Seaborn Heatmaps.mp4
1. Modules, Packages and Libraries - No need to reinvent the Wheel.mp4
36. Sorting of Series and Introduction to the inplace - parameter.mp4
16. How to slice 2-dim Numpy Arrays (Part 1).mp4
10. Advanced Filtering & Bitwise Operators.mp4
58. Removing Columns.mp4
40. Renaming Index & Column Labels with rename().mp4
53. Scatterplots.mp4
52. Histogramms (Part 2).mp4
24. Selecting Columns.mp4
5. Changing Elements in Numpy Arrays & Mutability.mp4
28. Slicing Rows and Columns with iloc (position-based indexing).mp4
43. Filtering DataFrames by many Conditions (OR).mp4
11. Determining a Project´s Payback Period with np.where().mp4
19. How to perform row-wise and column-wise Operations.mp4
7. Numpy Array Methods and Attributes.mp4
29. Selecting Rows with loc (label-based indexing).mp4
35. The copy() method.mp4
42. Filtering DataFrames by many Conditions (AND).mp4
51. Histogramms (Part 1).mp4
6. View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4
32. First Steps with Pandas Series.mp4
4. Vectorized Operations with Numpy Arrays.mp4
14. How to work with nested Lists.mp4
9. Boolean Arrays and Conditional Filtering.mp4
8. Numpy Universal Functions.mp4
20. Intro to Tabular Data Pandas.mp4
54. First Steps with Seaborn.mp4
39. Changing Column Labels.mp4
18. Recap Changing Elements in a Numpy Array slice.mp4
15. 2-dimensional Numpy Arrays.mp4
3. Indexing and Slicing Numpy Arrays.mp4
47. Exporting DataFrames to csv.mp4
26. Zero-based Indexing and Negative Indexing.mp4
17. How to slice 2-dim Numpy Arrays (Part 2).mp4
25. Selecting one Column with the dot notation.mp4
59. Introduction to GroupBy Operations.mp4
30. Appendix 5 Object Oriented Programming (OOP)
12. Inheritance.mp4
1. Introduction to OOP and examples for Classes.mp4
13. Inheritance and the super() Function.mp4
14. Adding meaningful Docstrings.mp4
11. Adding more methods and performance metrics.mp4
5. The method get_data().mp4
16. Coding Exercise Create your own Class.mp4
4. The special method __init__().mp4
8. The methods plot_prices() and plot_returns().mp4
2. The Financial Analysis Class live in action (Part 1).mp4
10. The method set_ticker().mp4
9. Encapsulation and protected Attributes.mp4
6. The method log_returns().mp4
7. String representation and the special method __repr__().mp4
15. Creating and Importing Python Modules (.py).mp4
3. The Financial Analysis Class live in action (Part 2).mp4
17. Equity Portfolio Optimization and Analysis
5. Portfolio Optimization.mp4
2. Creating Random Portfolios (Part 1).mp4
8. The Efficient Frontier.mp4
4. Performance Measurement The Risk-adjusted Return.mp4
9. Portfolio Optimization with frequent Rebalancing.mp4
10. Comparison daily Rebalancing vs. no Rebalancing.mp4
3. Creating Random Portfolios (Part 2).mp4
6. Minimum Variance Portfolio.mp4
1. Getting Started.mp4
7. Maximum Return Portfolio.mp4
23. Stock trading with Technical Indicators - Backtesting
3. Defining an SMA Crossover Strategy.mp4
4. Vectorized Strategy Backtesting.mp4
7. The Backtester Class.mp4
5. Strategy Optimization.mp4
6. Transaction & Trading Costs (Part 1).mp4
2. A simple Buy and Hold Strategy.mp4
1. Getting started.mp4
8. Backtesting a Long-Only Strategy.mp4
15. ETF Investing and Index Replication Tracking
3. The S&P500 Index and its ETFs - Full Replication.mp4
7. Index Tracking with Optimization (Part 1).mp4
5. The Russell 3000 Index and its ETFs - Representative Sampling.mp4
8. Index Tracking with Optimization (Part 2).mp4
6. ETF Investing with IBKR.mp4
2. Index Replication Tracking - Intro.mp4
10. Index Tracking with Optimization (Part 4).mp4
1. Why ETF Investing.mp4
12. Index Tracking with Optimization (Part 6).mp4
13. Optimization and out-sample Testing (Part 1).mp4
4. Active Return and Active Risk (Tracking Error).mp4
11. Index Tracking with Optimization (Part 5).mp4
14. Optimization and out-sample Testing (Part 2).mp4
9. Index Tracking with Optimization (Part 3).mp4
29. Appendix 4 Advanced Pandas Time Series Topics
2. Filling NA Values with bfill, ffill and interpolation.mp4
4. Timezones and Converting (Part 2).mp4
1. Helpful DatetimeIndex Attributes and Methods.mp4
3. Timezones and Converting (Part 1).mp4
1. Getting started
1. Did you know... (a Sneak Preview on Stock Investing).mp4
2. How to get the best out of this course.mp4
3. Course Overview.mp4
22. Technical Analysis with Python - Introduction
3. Technical Analysis - Applications and Use Cases.mp4
8. Bar Size Granularity.mp4
1. Technical Analysis vs Fundamental Analysis.mp4
6. How to customize Plotly Charts.mp4
7. Candlestick and OHLC Bar Charts.mp4
2. Technical Analysis and the Efficient Market Hypothesis.mp4
12. Support and Resistance Lines.mp4
10. Technical Indicators - Overview and Examples.mp4
5. Charting - Interactive Line Charts with Cufflinks and Plotly.mp4
11. Trend Lines.mp4
9. Volume Charts.mp4
4. Getting started and simple Price Charts.mp4
4. Installing Python and Jupyter Notebooks
2. Download and Install Anaconda.mp4
4. How to work with Jupyter Notebooks.mp4
3. How to open Jupyter Notebooks.mp4
5. Tips for python beginners.mp4
1. Introduction.mp4
26. Appendix 1 Python (& Finance) Basics
38. Coding Exercise 3.mp4
12. Coding Exercise 1.mp4
46. Coding Exercise 4.mp4
41. Intro to Strings.mp4
48. Keywords pass, continue and break.mp4
47. Conditional Statements.mp4
35. Adding and removing Elements fromto Lists.mp4
22. Coding Exercise 2.mp4
50. Introduction to while loops.mp4
45. Comparison, Logical and Membership Operators in Action.mp4
36. Mutable vs. immutable Objects (Part 1).mp4
19. Calculate FV and PV for many Cashflows.mp4
20. The Net Present Value - NPV (Theory).mp4
40. Dictionaries.mp4
17. For Loops - Iterating over Lists.mp4
39. Tuples.mp4
26. Build-in Functions.mp4
30. More on Lists.mp4
28. Floats.mp4
23. Data Types in Action.mp4
9. More on Variables and Memory.mp4
49. Calculate a Project´s Payback Period.mp4
37. Mutable vs. immutable Objects (Part 2).mp4
29. How to round Floats (and Integers) with round().mp4
32. Slicing Lists.mp4
5. Calculate Interest Rates and Returns with Python.mp4
6. Introduction to Variables.mp4
31. Lists and Element-wise Operations.mp4
42. String Replacement.mp4
11. The print() Function.mp4
18. The range Object - another Iterable.mp4
10. Variables - Dos, Don´ts and Conventions.mp4
1. Intro to the Time Value of Money (TVM) Concept (Theory).mp4
21. Calculate an Investment Project´s NPV.mp4
4. Interest Rates and Returns (Theory).mp4
16. Indexing Lists.mp4
34. Sorting and Reversing Lists.mp4
2. Calculate Future Values (FV) with Python Compounding.mp4
44. Operators (Theory).mp4
7. Excursus How to add inline comments.mp4
27. Integers.mp4
24. The Data Type Hierarchy (Theory).mp4
13. TVM Problems with many Cashflows.mp4
33. Changing Elements in Lists.mp4
3. Calculate Present Values (PV) with Python Discounting.mp4
43. Booleans.mp4
14. Intro to Python Lists.mp4
15. Zero-based Indexing and negative Indexing in Python (Theory).mp4
8. Variables and Memory (Theory).mp4
25. Excursus Dynamic Typing in Python.mp4
8. Keystone Project - Loading Data and Stock Analysis
5. Stock Analysis and Comparison.mp4
2. How to load the Dow Jones Constituents from the Web.mp4
7. Hot Topic How to load all exchange tickers (Indian Stock Market).mp4
3. Historical Prices (Time-Series Data).mp4
4. Cross-Sectional Data.mp4
1. Project - Introduction.mp4
6. Hot Topic How to get complete Lists with Stock Tickers.mp4
14. How to build and analyze a Stock Index
1. Financial Indices - an Overview.mp4
4. Building the Dow Jones Industrial Average Index from scratch.mp4
8. Creating a Market Value-Weighted Stock Index with Python (Part 1).mp4
7. Market Value-Weighted Index - Theory.mp4
9. Creating a Market Value-Weighted Stock Index with Python (Part 2).mp4
11. Comparison of weighting methods (Part 2).mp4
3. Price-Weighted Index - Theory.mp4
12. Price Index vs. PerformanceTotal Return Index.mp4
5. Equal-Weighted Index - Theory.mp4
2. Getting started.mp4
10. Comparison of weighting methods (Part 1).mp4
6. Creating an Equal-Weighted Stock Index with Python.mp4
18. Portfolio Optimization Theory and practical Pitfalls
15. Introduction of a Risk-Free Asset.mp4
13. Forward-looking Mean-Variance Optimization (MVO) Pitfalls (1).mp4
7. Crash Course Statistics Covariance and Correlation (Part 1).mp4
10. Correlation and the Portfolio Diversification Effect.mp4
4. Portfolio Return (2-Asset-Case).mp4
12. Forward-looking Optimization.mp4
14. Forward-looking Mean-Variance Optimization (MVO) Pitfalls (2).mp4
11. Multiple Asset Case.mp4
9. Portfolio Risk (2-Asset-Case).mp4
5. Portfolio Risk (2-Asset-Case) - a (too) simple solution.mp4
17. Portfolio Optimization with Risk-free Asset (Part 1).mp4
2. Getting Started.mp4
19. Implications and the Two-Fund-Theorem.mp4
18. Portfolio Optimization with Risk-free Asset (Part 2).mp4
8. Crash Course Statistics Covariance and Correlation (Part 2).mp4
16. The Sharpe Ratio Graphical Interpretation.mp4
1. Introduction.mp4
6. Crash Course Statistics Variance and Standard Deviation.mp4
3. 2-Asset-Case (Intro).mp4
21. Trading Strategies - Overview
2. How to create your own Trading Strategies.mp4
1. Trading Strategies - Overview.mp4
13. PART 2 ETF Trading & Equity Portfolio Investing with Python and IBKR
2. Investment Strategies, Indices, Portfolios & Benchmarks.mp4
1. Introduction and Overview PART 2.mp4
27. Appendix 2 User-defined Functions
2. What´s the difference between Positional Arguments vs. Keyword Arguments.mp4
8. Scope - easily explained.mp4
3. How to work with Default Arguments.mp4
1. Defining your first user-defined Function.mp4
4. The Default Argument None.mp4
6. Sequences as arguments and args.mp4
5. How to unpack Iterables.mp4
7. How to return many results.mp4
19. Reverse Optimization and the Black-Litterman model
1. Introduction and Motivation.mp4
4. Black-Litterman Step 2 Incorporating Investor Opinions.mp4
3. Black-Litterman Step 1 Reverse Optimization.mp4
2. Getting started (Inputs for reverse Optimization).mp4
25. APPENDIX Python Crash Course
1. Introduction and Overview.mp4
2. PART 1 Basics and Prerequisites
1. Introduction and Overview PART 1.mp4
20. PART 3 Algorithmic Stock Trading with Python and IKBR
1. Introduction and Overview PART 3.mp4
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