01.Getting Started\
00:00:00 Welcome and Introduction
00:02:37 Did you know..._
00:05:15 Course Overview
00:09:49 Tips_ How to get the most out of
00:15:17 Course Materials _ Download
02.An Introduction to Trading and Income G
00:17:14 Trading vs. Investing
00:31:54 How to generate sustainable Incom
00:41:20 How to make a living with Trading
00:48:52 Example
03.Installing Python and Jupyter Notebooks
00:53:30 Overview
00:55:11 Download and Install Anaconda
01:03:19 How to open Jupyter Notebooks
01:12:49 How to work with Jupyter Notebook
04.Financial Data Analysis with Python and
01:26:49 Introduction and Overview
01:30:52 Installing and importing required
01:32:51 Loading Financial Data from the W
01:43:46 Initial Inspection and Visualizat
01:56:08 Normalizing Time Series to a Base
02:02:44 Coding Challenge
#1
02:08:04 Price changes and Financial Retur
02:17:07 Reward and Risk of Financial Inst
02:23:05 Investment Multiple and CAGR
02:29:55 Compound Returns & Geometric Mean
02:34:12 Discrete Compounding
02:42:12 Continuous Compounding
02:48:06 Log Returns
02:50:27 Simple Returns vs Log Returns ( P
03:02:14 Comparing the Performance of Fina
03:11:52 (Non-) Normality of Financial Ret
03:24:55 Annualizing Return and Risk
03:29:47 Resampling _ Smoothing of Financi
03:37:31 Rolling Statistics
03:46:36 Short Selling and Short Position
04:06:11 Covariance and Correlation
04:13:20 Portfolios and Portfolio Returns
04:17:18 Margin Trading and Levered Return
05.Performance and Risk Measurement - Ove
04:31:07 Introduction
04:32:54 Performance and Risk Metrics at a
06.Mean-Variance Analysis and the Sharpe R
04:36:29 Introduction
04:43:41 Getting started
04:51:12 Return Metrics
04:53:47 Risk Metrics (Standard Deviation)
04:56:22 Risk-adjusted Return and the Shar
05:02:04 Putting everything together and C
07.Downside Risk and Sortino Ratio\
05:08:29 Introduction
05:14:44 Getting started
05:16:29 Downside Deviation (Semi-Deviatio
05:20:25 Sortino Ratio
05:22:09 Putting everything toghether
08.Maximum Drawdown and Calmar Ratio\
05:27:19 Introduction
05:35:22 Getting started
05:37:00 Maximum Drawdown
05:46:46 Calmar Ratio
05:48:16 Max Drawdown Duration
05:55:27 Putting everything together
09.Trading with Leverage and the Kelly Cri
06:00:58 Introduction
06:06:19 Getting started
06:07:21 Recap_ Leverage and Margin Tradi
06:10:09 Finding the optimal degree of Lev
06:13:58 The Kelly Criterion
06:16:33 The impact of Leverage on Reward
06:22:46 Putting everything together
10.Case Study A-Z_ Performance Optimizatio
06:27:19 Introduction and Overview
06:29:55 A simple active Trading Strategy
11.Backtesting an active Trading Strategy
06:37:13 Getting started
06:40:07 Intro to Backtesting_ a Buy-and-H
06:43:01 Defining the Strategy
06:46:29 Vectorized Strategy Backtesting
06:55:11 Changing Strategy Parameters
07:00:47 Trades and Trading Costs (Part 1-
07:16:16 Using a Backtester Class (v 1.0)
07:25:23 (optional) How to create the Clas
12.Strategy Optimization and advanced Perf
07:32:47 Getting started
07:35:17 Finding the optimal value for th
07:41:31 Relationship between the _window_
07:44:51 Using an updated Backtester Class
07:50:22 Advanced Performance Reporting
07:56:13 Adding Performance Metrics to the
08:03:07 Putting everything together_ Adva
13.Powerful_ Strategy Optimization with Sm
08:09:38 Getting Started
08:16:17 How strategies and impacted by ra
08:27:09 Data Resampling_Smoothing and Bac
08:38:47 Using an updated Backtester Class
08:41:24 Two Parameter Optimization_ Frequ
08:54:03 Using an updated Backtester Class
14.Stop Loss and Take Profit for Trading S
09:03:03 Stop Loss Orders (Theory)
09:10:51 Getting started
09:12:35 Identify and label Trading Sessio
09:18:07 Cumulative_Compound Returns in a
09:26:21 Adding Stop Loss (SL)
09:33:08 How Stop Loss impacts a Trading S
09:38:41 Using an updated Backtester Class
09:44:58 Take Profit Orders (Theory)
09:50:29 Adding Take Profit (TP)
09:55:33 Stop Loss & Take Profit - an deep
10:03:35 Final Conclusion
15.Adding Leverage to Trading Strategies_
10:10:07 Getting started
10:11:51 The optimal degree of leverage (s
10:16:05 A more realistic Approach (non-co
10:32:08 Using an updated Backtester Class
10:37:11 Revised_ The optimal degree of le
16.Forward Testing (vs. Backtesting)\
10:43:32 Getting started
10:44:43 Backtesting _ Forward Testing -
10:51:41 The Performance of Strategies ove
11:00:31 Backtesting _ Forward Testing a s
17.Sustainable Income Planning and the Imp
11:04:17 Introduction
11:07:14 Recap_ A (too) simple Income Calc
11:10:35 Introduction to Simulations (Part
11:24:22 A path-dependent Simulation with
11:40:05 Shortfall Risk and a Sustainable
11:44:21 Final Remarks
18.How to adjust the Framework to other Tr
11:50:18 Introduction
11:53:22 A Mean-Reversion Strategy - Overv
11:59:04 Getting started