download скачать Free download скачать : Udemy Performance Optimization and Risk Management for Trading
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:5.21 GB

Files Included :

001 Welcome and Introduction.mp4 (30.7 MB)
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002 Did you know.mp4 (20.61 MB)
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003 Course Overview.mp4 (19.13 MB)
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004 Tips How to get the most out of this course.mp4 (35.82 MB)
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007 Course Materials  download скачать.mp4 (5.46 MB)
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007 Course-Materials.zip (18.87 MB)
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001 Trading vs  Investing.mp4 (117.44 MB)
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003 How to generate sustainable Income with Trading.mp4 (65.59 MB)
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004 How to make a living with Trading.mp4 (45.56 MB)
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005 Example.mp4 (32.78 MB)
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001 Overview.mp4 (3.57 MB)
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002 download скачать and Install Anaconda.mp4 (45.91 MB)
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003 How to open Jupyter Notebooks.mp4 (44.34 MB)
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004 How to work with Jupyter Notebooks.mp4 (41.61 MB)
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001 Introduction and Overview.mp4 (29.44 MB)
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002 Installing and importing required LibrariesPackages.mp4 (5.56 MB)
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003 Loading Financial Data from the Web.mp4 (69.36 MB)
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004 Initial Inspection and Visualization.mp4 (74.45 MB)
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006 Normalizing Time Series to a Base Value (100).mp4 (44.36 MB)
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007 Coding Challenge #1.mp4 (43.24 MB)
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008 Price changes and Financial Returns.mp4 (32.4 MB)
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009 Reward and Risk of Financial Instruments.mp4 (18.82 MB)
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011 Investment Multiple and CAGR.mp4 (34.37 MB)
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012 Compound Returns & Geometric Mean Return.mp4 (23.03 MB)
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014 Discrete Compounding.mp4 (55.18 MB)
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015 Continuous Compounding.mp4 (30.65 MB)
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016 Log Returns.mp4 (5.92 MB)
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017 Simple Returns vs Log Returns ( Part 1).mp4 (34.3 MB)
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018 Simple Returns vs Log Returns ( Part 2).mp4 (19.25 MB)
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020 Comparing the Performance of Financial Instruments.mp4 (58.12 MB)
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021 (Non-) Normality of Financial Returns.mp4 (68.54 MB)
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022 Annualizing Return and Risk.mp4 (15.27 MB)
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023 Resampling  Smoothing of Financial Data.mp4 (49.03 MB)
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024 Rolling Statistics.mp4 (33.96 MB)
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026 Short Selling and Short Position Returns (Part 1).mp4 (8.27 MB)
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027 Introduction to Currencies (Forex) and Trading.mp4 (37.03 MB)
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028 Short Selling and Short Position Returns (Part 2).mp4 (16.43 MB)
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029 Short Selling and Short Position Returns (Part 3).mp4 (21.82 MB)
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031 Covariance and Correlation.mp4 (38.23 MB)
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032 Portfolios and Portfolio Returns.mp4 (22.81 MB)
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033 Margin Trading and Levered Returns (Part 1).mp4 (12.68 MB)
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034 Margin Trading and Levered Returns (Part 2).mp4 (46.28 MB)
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001 Introduction.mp4 (11.74 MB)
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002 Performance and Risk Metrics at a glance.mp4 (14.91 MB)
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001 Introduction.mp4 (14.37 MB)
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002 Getting started.mp4 (44.89 MB)
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003 Return Metrics.mp4 (8.47 MB)
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004 Risk Metrics (Standard Deviation).mp4 (7.25 MB)
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005 Risk-adjusted Return and the Sharpe Ratio.mp4 (24.47 MB)
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006 Putting everything together and Conclusion.mp4 (18.54 MB)
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001 Introduction.mp4 (20.71 MB)
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002 Getting started.mp4 (6.77 MB)
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003 Downside Deviation (Semi-Deviation).mp4 (19.45 MB)
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004 Sortino Ratio.mp4 (3.47 MB)
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005 Putting everything toghether.mp4 (27.05 MB)
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001 Introduction.mp4 (18.8 MB)
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002 Getting started.mp4 (8.91 MB)
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003 Maximum Drawdown.mp4 (50.39 MB)
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004 Calmar Ratio.mp4 (2.98 MB)
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005 Max Drawdown Duration.mp4 (55.69 MB)
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006 Putting everything together.mp4 (32.56 MB)
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001 Introduction.mp4 (11.33 MB)
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002 Getting started.mp4 (7.23 MB)
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003 Recap  Leverage and Margin Trading.mp4 (8.91 MB)
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004 Finding the optimal degree of Leverage.mp4 (21.07 MB)
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005 The Kelly Criterion.mp4 (6.96 MB)
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006 The impact of Leverage on Reward & Risk.mp4 (34.96 MB)
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007 Putting everything together.mp4 (22.19 MB)
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001 Introduction and Overview.mp4 (16.8 MB)
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004 A simple active Trading Strategy at a glance.mp4 (28.49 MB)
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001 Getting started.mp4 (9.65 MB)
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002 Intro to Backtesting a Buy-and-Hold Strategy.mp4 (8.37 MB)
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003 Defining the Strategy.mp4 (10.92 MB)
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004 Vectorized Strategy Backtesting.mp4 (46.9 MB)
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005 Changing Strategy Parameters.mp4 (31.8 MB)
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006 Trades and Trading Costs (Part 1).mp4 (27.96 MB)
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007 Trades and Trading Costs (Part 2).mp4 (47 MB)
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008 Using a Backtester Class (v 1 0).mp4 (24.7 MB)
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009 (optional) How to create the Class (OOP).mp4 (30.16 MB)
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002 Getting started.mp4 (12.49 MB)
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003 Finding the optimal  value for the window Parameter.mp4 (20.43 MB)
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004 Relationship between the window Parameter and Performance.mp4 (9.46 MB)
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005 Using an updated Backtester Class (v 2 0).mp4 (34.69 MB)
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007 Advanced Performance Reporting.mp4 (29.95 MB)
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008 Adding Performance Metrics to the Class (v 2 1).mp4 (41.49 MB)
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009 Putting everything together Advanced Performance Optimization (v 3 0).mp4 (32.29 MB)
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002 Getting Started.mp4 (37.43 MB)
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003 How strategies and impacted by random noise (Part 1).mp4 (29.01 MB)
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004 How strategies and impacted by random noise (Part 2).mp4 (20.86 MB)
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005 Data ResamplingSmoothing and Backtesting (Part 1).mp4 (27.03 MB)
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006 Data ResamplingSmoothing and Backtesting (Part 2).mp4 (28.1 MB)
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007 Using an updated Backtester Class (v 4 0).mp4 (8.61 MB)
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009 Two Parameter Optimization Frequency and Window.mp4 (85.74 MB)
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010 Using an updated Backtester Class (v 4 1).mp4 (48.44 MB)
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002 Stop Loss Orders (Theory).mp4 (26.41 MB)
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003 Getting started.mp4 (9.28 MB)
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004 Identify and label Trading Sessions.mp4 (24.09 MB)
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005 CumulativeCompound Returns in a Trading Session.mp4 (48.75 MB)
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006 Adding Stop Loss (SL).mp4 (45.32 MB)
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007 How Stop Loss impacts a Trading Strategy.mp4 (32.16 MB)
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008 Using an updated Backtester Class (v 5 0).mp4 (36.81 MB)
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010 Take Profit Orders (Theory).mp4 (18.09 MB)
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011 Adding Take Profit (TP).mp4 (17.15 MB)
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012 Stop Loss & Take Profit - an deeper analysis.mp4 (56.06 MB)
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013 Final Conclusion.mp4 (23.87 MB)
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002 Getting started.mp4 (7.1 MB)
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003 The optimal degree of leverage (simplified).mp4 (21.68 MB)
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004 A more realistic Approach (non-constant Leverage) (Part 1).mp4 (57.89 MB)
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005 A more realistic Approach (non-constant Leverage) (Part 2).mp4 (33.97 MB)
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006 Using an updated Backtester Class (v 6 0).mp4 (19.12 MB)
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008 Revised The optimal degree of leverage and the Kelly Criterion.mp4 (27.46 MB)
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002 Getting started.mp4 (3.4 MB)
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003 Backtesting  Forward Testing  - a simple (too simple) approach.mp4 (39.55 MB)
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004 The Performance of Strategies over multiple Time Periods.mp4 (68.98 MB)
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005 Backtesting  Forward Testing a stable Strategy.mp4 (20.48 MB)
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001 Introduction.mp4 (18.46 MB)
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003 Recap A (too) simple Income Calculation.mp4 (8.12 MB)
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004 Introduction to Simulations (Part 1).mp4 (41.83 MB)
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005 Introduction to Simulations (Part 2).mp4 (34.34 MB)
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006 A path-dependent Simulation with Taxes and Income - Introduction.mp4 (73.51 MB)
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007 A path-dependent Simulation with Taxes and Income - many Simulations.mp4 (8.79 MB)
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008 Shortfall Risk and a Sustainable Income Level.mp4 (16.28 MB)
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009 Final Remarks.mp4 (18.5 MB)
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001 Introduction.mp4 (19.81 MB)
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003 A Mean-Reversion Strategy - Overview.mp4 (38.85 MB)
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004 Getting started.mp4 (6.82 MB)
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005 Defining a Bollinger Bands Mean-Reversion Strategy (Part 1).mp4 (17.38 MB)
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006 Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4 (53.21 MB)
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007 Vectorized Strategy Backtesting.mp4 (22.65 MB)
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008 Adjusting the framework and creating a Backtester Class (Part 1).mp4 (17.96 MB)
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009 Adjusting the framework and creating a Backtester Class (Part 2).mp4 (30.17 MB)
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010 The Backtester Class live in action.mp4 (52.05 MB)
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002 Statistics - Overview, Terms and Vocabulary.mp4 (84.36 MB)
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003 Population vs  Sample.mp4 (33.87 MB)
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004 Visualizing Frequency Distributions with plt hist().mp4 (16.8 MB)
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005 Relative and Cumulative Frequencies with plt hist().mp4 (18.59 MB)
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006 Measures of Central Tendency (Theory).mp4 (9.16 MB)
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007 Coding Measures of Central Tendency - Mean and Median.mp4 (16.86 MB)
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008 Coding Measures of Central Tendency - Geometric Mean.mp4 (10.35 MB)
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009 Excursus Why Log Returns are useful.mp4 (5.98 MB)
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010 Variability around the Central Tendency  Dispersion (Theory).mp4 (21.12 MB)
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011 Minimum, Maximum and Range with PythonNumpy.mp4 (9.55 MB)
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012 Variance and Standard Deviation with PythonNumpy.mp4 (14.17 MB)
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013 Percentiles with PythonNumpy.mp4 (14.15 MB)
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014 Skew and Kurtosis (Theory).mp4 (7.86 MB)
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015 How to calculate Skew and Kurtosis with scipy stats.mp4 (21.17 MB)
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017 How to generate Random Numbers with Numpy.mp4 (13.89 MB)
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018 Reproducibility with np random seed().mp4 (10.39 MB)
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019 Probability Distributions - Overview.mp4 (28.22 MB)
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020 Discrete Uniform Distributions.mp4 (14.85 MB)
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021 Continuous Uniform Distributions.mp4 (15.63 MB)
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022 The Normal Distribution (Theory).mp4 (9.01 MB)
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023 Creating a normally distributed Random Variable.mp4 (12.12 MB)
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024 Normal Distribution - Probability Density Function (pdf) with scipy stats.mp4 (20.22 MB)
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025 Normal Distribution - Cumulative Distribution Function (cdf) with scipy stats.mp4 (12.37 MB)
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026 The Standard Normal Distribution and Z-Values.mp4 (29.3 MB)
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027 Properties of the Standard Normal Distribution (Theory).mp4 (6.29 MB)
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028 Probabilities and Z-Values with scipy stats.mp4 (46.47 MB)
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029 Confidence Intervals with scipy stats.mp4 (35.78 MB)
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001 Sample Statistic, Sampling Error and Sampling Distribution (Theory).mp4 (18.49 MB)
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002 Sampling with np random choice().mp4 (16.06 MB)
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003 Sampling Distribution.mp4 (10.97 MB)
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004 Standard Error.mp4 (6.01 MB)
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005 Central Limit Theorem (Coding Part 1).mp4 (19.62 MB)
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006 Central Limit Theorem (Coding Part 2).mp4 (15.29 MB)
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007 Central Limit Theorem (Theory).mp4 (12.55 MB)
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008 Point Estimates vs  Confidence Interval Estimates (known Population Variance).mp4 (20.53 MB)
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009 The Student´s t-distribution What is it and whywhen do we use it.mp4 (15.28 MB)
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010 Unknown Population Variance - the Standard Case (Example 1).mp4 (20.38 MB)
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011 Unknown Population Variance - the Standard Case (Example 2).mp4 (10.69 MB)
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012 Student´s t-Distribution vs  Normal Distribution with scipy stats.mp4 (17.94 MB)
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013 Bootstrapping with Python an alternative method without Statistics.mp4 (24.57 MB)
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015 Hypothesis Testing (Theory).mp4 (44.36 MB)
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016 Two-tailed Z-Test with known Population Variance.mp4 (26.77 MB)
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017 What is the p-value (Theory).mp4 (10.45 MB)
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018 Calculating and interpreting z-statistic and p-value with scipy stats.mp4 (17.69 MB)
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019 One-tailed Z-Test with known Population Variance.mp4 (24.66 MB)
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020 Two-tailed t-Test (unknown Population Variance).mp4 (30.69 MB)
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021 One-tailed t-Test (unknown Population Variance).mp4 (13.51 MB)
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022 Hypothesis Testing with Bootstrapping.mp4 (25 MB)
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023 Testing for Normality of Financial Returns with scipy stats.mp4 (45.27 MB)
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026 Covariance and Correlation - the Dataset (Part 1).mp4 (34.78 MB)
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027 Covariance and Correlation - the data (Part 2).mp4 (28.76 MB)
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028 Covariance and Correlation Coefficient (Theory).mp4 (21.5 MB)
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029 How to calculate Covariance and Correlation in Python.mp4 (15.22 MB)
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030 Correlation and Scatterplots - visual Interpretation.mp4 (10.73 MB)
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001 Introduction to OOP and examples for Classes.mp4 (54.95 MB)
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003 The Financial Analysis Class live in action (Part 1).mp4 (14.17 MB)
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004 The Financial Analysis Class live in action (Part 2).mp4 (8.74 MB)
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005 The special method   init  ().mp4 (24.58 MB)
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006 The method get data().mp4 (16.99 MB)
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007 The method log returns().mp4 (10.88 MB)
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008 String representation and the special method   repr  ().mp4 (13.48 MB)
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009 The methods plot prices() and plot returns().mp4 (26.46 MB)
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010 Encapsulation and protected Attributes.mp4 (19.23 MB)
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011 The method set ticker().mp4 (19.38 MB)
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012 Adding more methods and performance metrics.mp4 (20.95 MB)
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013 Inheritance.mp4 (76.17 MB)
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014 Inheritance and the super() Function.mp4 (19.07 MB)
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015 Adding meaningful Docstrings.mp4 (39.16 MB)
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016 Creating and Importing Python Modules ( py).mp4 (10.96 MB)
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017 Coding Exercise Create your own Class.mp4 (20.15 MB)
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