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种子名称： GetFreeCourses.Co-Udemy-Cryptocurrency Algorithmic Trading with Python and Binance
文件类型： 视频
文件数目： 360个文件
文件大小： 9.38 GB
收录时间： 2022-11-10 05:45
已经下载： 3次
资源热度： 121
最近下载： 2024-6-6 09:11

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GetFreeCourses.Co-Udemy-Cryptocurrency Algorithmic Trading with Python and Binance.torrent

01 - Getting Started/001 Welcome and Introduction.mp434.88MB

01 - Getting Started/002 Did you know... (a Sneak Preview on Crypto Trading).mp433.11MB

01 - Getting Started/003 How to get the best out of this course.mp435.79MB

01 - Getting Started/006 Course Overview.mp446.26MB

02 - +++ PART 1 Fundamentals of Trading, Binance and Python for Finance +++/001 PART 1 Overview.mp48.05MB

03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/001 Investing vs. (Algorithmic) Trading.mp4125.6MB

03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/002 Asset Classes, Money and (Crypto-) Currencies.mp477.42MB

03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/003 What is a Stable Coin.mp435.87MB

03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/004 Why Trading Cryptocurrencies.mp432.46MB

03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/005 Why using Binance.mp462.79MB

03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/006 Alternative Exchanges (FTX, Kraken, etc.).mp429.91MB

03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/007 Spot Trading vs. Derivatives (Futures) Trading (Part 1).mp450.24MB

03 - Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance/008 Spot Trading vs. Derivatives (Futures) Trading (Part 2).mp472.52MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/001 Binance.com and Binance.US at a first glance.mp477.7MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/003 Registration and Identity Verification.mp412.53MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/004 How to instantly buy your first Cryptos.mp413.48MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/005 Deposits and Withdrawals (Part 1).mp418.54MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/006 Deposits and Withdrawals (Part 2).mp412.39MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/007 The first Spot Trade (buy Bitcoin).mp478.33MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/008 Trade Analysis and Trading FeesCommissions.mp451.6MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/009 Another Spot Trade (sell Bitcoin).mp415.59MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/010 Limit Orders vs. Market Orders.mp432.48MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/011 Take-Profit Orders.mp412.61MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/012 Stop-Loss Orders.mp430.24MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/013 The Order Book.mp423.92MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/014 Bid-Ask-Spread and Slippage.mp422.33MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/015 Total Costs of a Trade (visible vs. hidden Costs).mp416.19MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/016 Liquidity and Market Depth.mp422.04MB

04 - Cryptocurrency Trading and Investing with Binance A-Z a Deep Introduction/017 Introduction to Charting and Technical Indicators.mp458.6MB

05 - Installing Python and Jupyter Notebooks/001 Introduction.mp44.2MB

05 - Installing Python and Jupyter Notebooks/002 Download and Install Anaconda.mp445.91MB

05 - Installing Python and Jupyter Notebooks/003 How to open Jupyter Notebooks.mp444.35MB

05 - Installing Python and Jupyter Notebooks/004 How to work with Jupyter Notebooks.mp441.58MB

05 - Installing Python and Jupyter Notebooks/005 Tips for Python Beginners.mp44.5MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/001 Introduction.mp47.06MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/002 Test your debugging skills!.mp432.3MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/003 Major reasons for Coding Errors.mp42.38MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/004 The most commonly made Errors at a glance.mp431.21MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/005 Omitting cells, changing the sequence and more.mp437.53MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/006 IndexErrors.mp424.47MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/007 Indentation Errors.mp46.79MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/008 Misuse of function names and keywords.mp47.48MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/009 TypeErrors and ValueErrors.mp411.35MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/010 Getting help on StackOverflow.com.mp432.92MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/011 How to traceback more complex Errors.mp468.18MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/012 Problems with the Python Installation.mp418.16MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/013 External Factors and Issues.mp48.05MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/014 Errors related to the course content (Transcription Errors).mp47.21MB

06 - Excursus How to avoid and debug Coding Errors (don´t skip!)/015 Summary and Debugging Flow-Chart.mp412.21MB

07 - Trading with Python and the Binance API - an Introduction/001 Overview.mp414.25MB

07 - Trading with Python and the Binance API - an Introduction/002 Getting the API Key & other Preparations.mp415.22MB

07 - Trading with Python and the Binance API - an Introduction/004 How to install the Binance API Wrapper.mp45.45MB

07 - Trading with Python and the Binance API - an Introduction/005 Connecting to the APIServer.mp423.08MB

07 - Trading with Python and the Binance API - an Introduction/008 Retrieving general accountsystem Info (Part 1).mp459.28MB

07 - Trading with Python and the Binance API - an Introduction/009 Retrieving general accountsystem Info (Part 2).mp441.32MB

07 - Trading with Python and the Binance API - an Introduction/010 Getting (current) Market Data.mp454.81MB

07 - Trading with Python and the Binance API - an Introduction/011 How to load Historical Price & Volume Data (Part 1).mp450.55MB

07 - Trading with Python and the Binance API - an Introduction/012 How to load Historical Price & Volume Data (Part 2).mp484.12MB

07 - Trading with Python and the Binance API - an Introduction/013 Excursus Loading Historical Data (csv) from the Website.mp437.07MB

07 - Trading with Python and the Binance API - an Introduction/014 Streaming real-time Market Data (Part 1).mp451.06MB

07 - Trading with Python and the Binance API - an Introduction/016 Streaming real-time Market Data (Part 2).mp48.95MB

07 - Trading with Python and the Binance API - an Introduction/017 Streaming and collecting real-time Candles.mp459.7MB

07 - Trading with Python and the Binance API - an Introduction/018 Placing a Test Order.mp410.55MB

07 - Trading with Python and the Binance API - an Introduction/019 The Binance Spot Test Network.mp410.94MB

07 - Trading with Python and the Binance API - an Introduction/020 Creating a Connection to the Spot Testnet.mp411.25MB

07 - Trading with Python and the Binance API - an Introduction/021 Spot Testnet API - Overview.mp439.95MB

07 - Trading with Python and the Binance API - an Introduction/022 Placing a Market Buy Order.mp468.47MB

07 - Trading with Python and the Binance API - an Introduction/023 Placing a Market Sell Order.mp412.5MB

07 - Trading with Python and the Binance API - an Introduction/024 Placing Limit Orders.mp439.34MB

07 - Trading with Python and the Binance API - an Introduction/025 Reporting Getting all (historical) Orders and Trades.mp422.45MB

07 - Trading with Python and the Binance API - an Introduction/026 How to create & run a first (simple) Trading Bot.mp425.55MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/001 Introduction and Overview.mp423.32MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/002 Installing and importing required LibrariesPackages.mp45.55MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/003 Loading Financial Data from the Web.mp469.35MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/004 Initial Inspection and Visualization.mp474.45MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/006 Normalizing Time Series to a Base Value (100).mp434.7MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/007 Coding Challenge #1.mp437.45MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/008 Price changes and Financial Returns.mp432.4MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/009 Reward and Risk of Financial Instruments.mp418.82MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/011 Investment Multiple and CAGR.mp434.4MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/012 Compound Returns & Geometric Mean Return.mp422.8MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/014 Discrete Compounding.mp455.16MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/015 Continuous Compounding.mp430.66MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/016 Log Returns.mp45.92MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/017 Simple Returns vs Log Returns ( Part 1).mp420.72MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/018 Simple Returns vs Log Returns ( Part 2).mp419.26MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/020 Comparing the Performance of Financial Instruments.mp450.54MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/021 (Non-) Normality of Financial Returns.mp465.64MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/022 Annualizing Return and Risk.mp415.27MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/023 Resampling Smoothing of Financial Data.mp427.82MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/024 Rolling Statistics.mp433.95MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/026 Short Selling and Short Position Returns (Part 1).mp48.26MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/027 Introduction to Currencies (Forex) and Trading.mp437.02MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/028 Short Selling and Short Position Returns (Part 2).mp416.43MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/029 Short Selling and Short Position Returns (Part 3).mp421.83MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/031 Covariance and Correlation.mp438.21MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/032 Portfolios and Portfolio Returns.mp414.55MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/033 Margin Trading and Levered Returns (Part 1).mp412.7MB

08 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/034 Margin Trading and Levered Returns (Part 2).mp446.34MB

09 - +++ PART 2 Algorithmic Trading Spot Trading +++/001 Overview.mp410.78MB

10 - What is a Trading Strategy/001 Trading Strategies - Overview.mp443.54MB

10 - What is a Trading Strategy/003 Trading Strategies for Cryptocurrencies (best practices).mp423.83MB

10 - What is a Trading Strategy/004 How to create your own Trading Strategies.mp442.88MB

10 - What is a Trading Strategy/006 Getting the Data.mp422.74MB

10 - What is a Trading Strategy/007 Financial Data Analysis Visual Inspection.mp413.44MB

10 - What is a Trading Strategy/008 A simple Buy and Hold Strategy.mp412.93MB

10 - What is a Trading Strategy/009 Performance Measurement.mp413.86MB

11 - A Long-only Strategy based on Price & Volume Data/001 Introduction.mp413.95MB

11 - A Long-only Strategy based on Price & Volume Data/002 Data Preparation.mp428.26MB

11 - A Long-only Strategy based on Price & Volume Data/003 Explanatory Data Analysis Financial Returns and Trading Volume (Part 1).mp454.44MB

11 - A Long-only Strategy based on Price & Volume Data/004 Explanatory Data Analysis Financial Returns and Trading Volume (Part 2).mp430MB

11 - A Long-only Strategy based on Price & Volume Data/005 Formulating a Long-only Strategy based on Price & Volume Data.mp428.42MB

11 - A Long-only Strategy based on Price & Volume Data/006 Strategy Backtesting.mp441.17MB

11 - A Long-only Strategy based on Price & Volume Data/007 Trading Costs.mp446.33MB

12 - Strategy Optimization and Forward Testing/002 Getting started.mp48.07MB

12 - Strategy Optimization and Forward Testing/003 Strategy Optimization (Part 1).mp458.9MB

12 - Strategy Optimization and Forward Testing/004 Strategy Optimization (Part 2).mp49.44MB

12 - Strategy Optimization and Forward Testing/005 Putting everything together a Backtester Class.mp459.71MB

12 - Strategy Optimization and Forward Testing/006 Backtesting & Forward Testing (Part 1).mp425.78MB

12 - Strategy Optimization and Forward Testing/007 Backtesting & Forward Testing (Part 2).mp419.96MB

12 - Strategy Optimization and Forward Testing/008 The Backtester Class explained (Part 1).mp415.04MB

12 - Strategy Optimization and Forward Testing/009 The Backtester Class explained (Part 2).mp413.68MB

12 - Strategy Optimization and Forward Testing/010 The Backtester Class explained (Part 3).mp413.3MB

12 - Strategy Optimization and Forward Testing/011 The Backtester Class explained (Part 4).mp424.85MB

13 - Implementation and Automation of Trading Strategies with Binance/002 Getting started.mp43.98MB

13 - Implementation and Automation of Trading Strategies with Binance/004 Recap Streaming and Collecting Real-Time Candles.mp424.75MB

13 - Implementation and Automation of Trading Strategies with Binance/005 Creating the LongOnlyTrader Class.mp432.05MB

13 - Implementation and Automation of Trading Strategies with Binance/006 Working with historical data and real-time data (Part 1).mp426.49MB

13 - Implementation and Automation of Trading Strategies with Binance/007 Working with historical data and real-time data (Part 2).mp414.79MB

13 - Implementation and Automation of Trading Strategies with Binance/008 Adding a Long-Only Trading Strategy.mp449.19MB

13 - Implementation and Automation of Trading Strategies with Binance/009 Placing Orders and Executing Trades.mp453.39MB

13 - Implementation and Automation of Trading Strategies with Binance/010 Trade Monitoring and Reporting.mp471.73MB

13 - Implementation and Automation of Trading Strategies with Binance/011 How to setautomate the stop of a Trading Session.mp432.81MB

14 - A Long-Short Trading Strategy A-Z/001 Introduction.mp434.37MB

14 - A Long-Short Trading Strategy A-Z/002 Getting started.mp410.21MB

14 - A Long-Short Trading Strategy A-Z/003 Recap Explanatory Data Analysis and generating a Trading Idea.mp45.72MB

14 - A Long-Short Trading Strategy A-Z/004 Defining the Long-Short Strategy.mp421.2MB

14 - A Long-Short Trading Strategy A-Z/005 A Long-Short Backtesting Framework.mp436.14MB

14 - A Long-Short Trading Strategy A-Z/006 Strategy Backtesting.mp427.25MB

14 - A Long-Short Trading Strategy A-Z/007 A Long-Short Trading Framework.mp447.92MB

14 - A Long-Short Trading Strategy A-Z/008 Implementing and Automating a Long-Short Trading Strategy.mp433.97MB

14 - A Long-Short Trading Strategy A-Z/010 Preview Running a Python Trader Script.mp447.56MB

15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/001 Introduction and Motivation.mp49.48MB

15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/002 Demonstration AWS EC2 for Algorithmic Trading live in action.mp40B

15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/003 Amazon Web Services (AWS) - Overview and how to create a Free Trial Account.mp40B

15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/004 How to create an EC2 Instance.mp455.64MB

15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/005 How to connect to your EC2 Instance.mp426.53MB

15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/007 Getting the Instance Ready for Algorithmic Trading.mp410.31MB

15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/008 How to run Python Scripts in a Windows Command Prompt.mp412.13MB

15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/010 How to start Trading sessions with Batch (.bat) Files.mp412.19MB

15 - Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/011 How to schedule Trading sessions with the Task Scheduler.mp421.51MB

16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/001 Introduction.mp439.97MB

16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/003 The Solution explained (Part 1).mp420.04MB

16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/004 The Solution explained (Part 2).mp436.48MB

16 - Ultimate Homework Challenge Create, Test and Implement your Strategy!/005 The Solution explained (Part 3).mp417.87MB

17 - +++ PART 3 Algorithmic Trading Futures Trading +++/001 Overview.mp456.65MB

18 - Futures Trading on Binance A-Z/001 Creating an account on Binance Futures Testnet.mp43.11MB

18 - Futures Trading on Binance A-Z/002 First Steps.mp422.01MB

18 - Futures Trading on Binance A-Z/003 The first Futures Trade (Long).mp481.37MB

18 - Futures Trading on Binance A-Z/004 Trade Analysis.mp441.24MB

18 - Futures Trading on Binance A-Z/005 A trade with Leverage.mp428.91MB

18 - Futures Trading on Binance A-Z/006 The impact of Leverage.mp419.08MB

18 - Futures Trading on Binance A-Z/007 A Short Trade.mp430.47MB

18 - Futures Trading on Binance A-Z/008 Margin Requirements and Liquidation (Part 1).mp464.55MB

18 - Futures Trading on Binance A-Z/009 Margin Requirements and Liquidation (Part 2).mp469.67MB

18 - Futures Trading on Binance A-Z/010 Excursus The Futures Calculator.mp415.9MB

18 - Futures Trading on Binance A-Z/011 How to add Stop Loss to an open position.mp416.49MB

18 - Futures Trading on Binance A-Z/012 Stop Loss (SL) and Take Profit (TP) Orders.mp434.62MB

18 - Futures Trading on Binance A-Z/013 Margin Mode Cross vs. Isolated.mp452.82MB

18 - Futures Trading on Binance A-Z/014 Position Mode One-way (Netting) vs. Hedging.mp462.89MB

18 - Futures Trading on Binance A-Z/015 How to work with many open positions.mp443.84MB

18 - Futures Trading on Binance A-Z/016 Introduction to the Funding Rate.mp426.18MB

18 - Futures Trading on Binance A-Z/017 The Funding Rate explained (Part 1).mp413.41MB

18 - Futures Trading on Binance A-Z/018 The Funding Rate explained (Part 2).mp413.46MB

18 - Futures Trading on Binance A-Z/019 The Funding Rate explained (Part 3).mp410.5MB

18 - Futures Trading on Binance A-Z/020 The Funding Rate live in action.mp421.16MB

19 - Backtesting Futures Trading Strategies with Leverage/001 Introduction.mp440.8MB

19 - Backtesting Futures Trading Strategies with Leverage/002 Getting the Data.mp45MB

19 - Backtesting Futures Trading Strategies with Leverage/003 Backtesting without Leverage and Trading Costs in the Futures Market.mp436.48MB

19 - Backtesting Futures Trading Strategies with Leverage/004 Recap Leverage and levered Returns.mp42.75MB

19 - Backtesting Futures Trading Strategies with Leverage/005 Levered Returns a more realistic approach.mp457.92MB

19 - Backtesting Futures Trading Strategies with Leverage/006 The Futures Backtesting Class live in action.mp420.64MB

19 - Backtesting Futures Trading Strategies with Leverage/007 How to adjust the Framework to (levered) Futures Trading.mp458.12MB

19 - Backtesting Futures Trading Strategies with Leverage/008 The impact of Leverage on Trading Performance.mp418.44MB

20 - Implementing and automating Futures Trading on Binance/001 Introduction and Preparations.mp417.12MB

20 - Implementing and automating Futures Trading on Binance/002 The Binance Futures API.mp483.02MB

20 - Implementing and automating Futures Trading on Binance/003 How to change Settings and Modes.mp444.09MB

20 - Implementing and automating Futures Trading on Binance/004 Placing Market Orders (Part 1).mp457.82MB

20 - Implementing and automating Futures Trading on Binance/005 Trade Analysis - Trade and Income History.mp438.13MB

20 - Implementing and automating Futures Trading on Binance/006 Placing Market Orders (Part 2).mp414.62MB

20 - Implementing and automating Futures Trading on Binance/007 Getting Historical Futures Market Data.mp432.53MB

20 - Implementing and automating Futures Trading on Binance/008 Streaming Future Prices in real-time.mp424.36MB

20 - Implementing and automating Futures Trading on Binance/009 A Futures Trading Bot (Part 1).mp439.93MB

20 - Implementing and automating Futures Trading on Binance/010 A Futures Trading Bot (Part 2).mp434.28MB

22 - API Trading with CCXT/001 Introduction.mp443.99MB

22 - API Trading with CCXT/002 Preparations.mp410.25MB

22 - API Trading with CCXT/003 First Steps with CCXT.mp445.66MB

22 - API Trading with CCXT/004 General Exchange Information.mp421.27MB

22 - API Trading with CCXT/005 The Public API.mp434.49MB

22 - API Trading with CCXT/006 Loading Historical Data (Part 1).mp470.84MB

22 - API Trading with CCXT/007 Loading Historical Data (Part 2).mp419.46MB

22 - API Trading with CCXT/008 Streaming real-time Data (Part 1).mp417.22MB

22 - API Trading with CCXT/009 Introduction to Multithreaded Programming.mp411.31MB

22 - API Trading with CCXT/010 Streaming real-time Data (Part 2).mp49.95MB

22 - API Trading with CCXT/011 Streaming real-time Data (Part 3).mp413.05MB

22 - API Trading with CCXT/012 Getting Historical Data and Streaming live Data.mp429.33MB

22 - API Trading with CCXT/013 The Private API.mp419MB

22 - API Trading with CCXT/014 How to connect to Testnets (Sandbox mode).mp49.34MB

22 - API Trading with CCXT/015 Creating Orders and analyzing Trades (Spot).mp427.52MB

22 - API Trading with CCXT/016 Creating Orders and analyzing Trades (Futures).mp455.94MB

22 - API Trading with CCXT/017 A CCXT Spot Trading Bot.mp466.79MB

22 - API Trading with CCXT/018 Excursus Generalization.mp423.96MB

22 - API Trading with CCXT/019 A CCXT Futures Trading Bot.mp437.94MB

23 - API Trading with FTX/001 Introduction.mp422.76MB

23 - API Trading with FTX/003 Creating accounts on FTX.com and FTX.us.mp419.58MB

23 - API Trading with FTX/004 FTX and CCXT - an Overview.mp431.68MB

23 - API Trading with FTX/005 What you should consider for Backtesting.mp437.26MB

23 - API Trading with FTX/006 An FTX Spot Trading Bot.mp430.21MB

23 - API Trading with FTX/007 Futures Trading on FTX.mp456.34MB

23 - API Trading with FTX/008 An FTX Futures Trading Bot.mp442.44MB

24 - +++ APPENDIX Python Crash Course +++/001 Introduction and Overview.mp46.13MB

25 - Appendix 1 Python (& Finance) Basics/001 Intro to the Time Value of Money (TVM) Concept (Theory).mp48.47MB

25 - Appendix 1 Python (& Finance) Basics/002 Calculate Future Values (FV) with Python Compounding.mp47.05MB

25 - Appendix 1 Python (& Finance) Basics/003 Calculate Present Values (FV) with Python Discounting.mp410.05MB

25 - Appendix 1 Python (& Finance) Basics/004 Interest Rates and Returns (Theory).mp47.04MB

25 - Appendix 1 Python (& Finance) Basics/005 Calculate Interest Rates and Returns with Python.mp48.97MB

25 - Appendix 1 Python (& Finance) Basics/006 Introduction to Variables.mp411.07MB

25 - Appendix 1 Python (& Finance) Basics/007 Excursus How to add inline comments.mp45.81MB

25 - Appendix 1 Python (& Finance) Basics/008 Variables and Memory (Theory).mp42.78MB

25 - Appendix 1 Python (& Finance) Basics/009 More on Variables and Memory.mp412.75MB

25 - Appendix 1 Python (& Finance) Basics/010 Variables - Dos, Don´ts and Conventions.mp49.73MB

25 - Appendix 1 Python (& Finance) Basics/011 The print() Function.mp49.07MB

25 - Appendix 1 Python (& Finance) Basics/012 Coding Exercise 1.mp437.38MB

25 - Appendix 1 Python (& Finance) Basics/013 TVM Problems with many Cashflows.mp45.9MB

25 - Appendix 1 Python (& Finance) Basics/014 Intro to Python Lists.mp44.16MB

25 - Appendix 1 Python (& Finance) Basics/015 Zero-based Indexing and negative Indexing in Python (Theory).mp43.77MB

25 - Appendix 1 Python (& Finance) Basics/016 Indexing Lists.mp48MB

25 - Appendix 1 Python (& Finance) Basics/017 For Loops - Iterating over Lists.mp417.15MB

25 - Appendix 1 Python (& Finance) Basics/018 The range Object - another Iterable.mp49.47MB

25 - Appendix 1 Python (& Finance) Basics/019 Calculate FV and PV for many Cashflows.mp417.86MB

25 - Appendix 1 Python (& Finance) Basics/020 The Net Present Value - NPV (Theory).mp415.39MB

25 - Appendix 1 Python (& Finance) Basics/021 Calculate an Investment Project´s NPV.mp48.01MB

25 - Appendix 1 Python (& Finance) Basics/022 Coding Exercise 2.mp424.07MB

25 - Appendix 1 Python (& Finance) Basics/023 Data Types in Action.mp414.6MB

25 - Appendix 1 Python (& Finance) Basics/024 The Data Type Hierarchy (Theory).mp45.24MB

25 - Appendix 1 Python (& Finance) Basics/025 Excursus Dynamic Typing in Python.mp42.93MB

25 - Appendix 1 Python (& Finance) Basics/026 Build-in Functions.mp414.62MB

25 - Appendix 1 Python (& Finance) Basics/027 Integers.mp46.04MB

25 - Appendix 1 Python (& Finance) Basics/028 Floats.mp412.61MB

25 - Appendix 1 Python (& Finance) Basics/029 How to round Floats (and Integers) with round().mp410.77MB

25 - Appendix 1 Python (& Finance) Basics/030 More on Lists.mp413.49MB

25 - Appendix 1 Python (& Finance) Basics/031 Lists and Element-wise Operations.mp410.29MB

25 - Appendix 1 Python (& Finance) Basics/032 Slicing Lists.mp49.25MB

25 - Appendix 1 Python (& Finance) Basics/034 Changing Elements in Lists.mp46.99MB

25 - Appendix 1 Python (& Finance) Basics/035 Sorting and Reversing Lists.mp47.21MB

25 - Appendix 1 Python (& Finance) Basics/036 Adding and removing Elements fromto Lists.mp423.63MB

25 - Appendix 1 Python (& Finance) Basics/037 Mutable vs. immutable Objects (Part 1).mp419.29MB

25 - Appendix 1 Python (& Finance) Basics/038 Mutable vs. immutable Objects (Part 2).mp413.03MB

25 - Appendix 1 Python (& Finance) Basics/039 Coding Exercise 3.mp443.05MB

25 - Appendix 1 Python (& Finance) Basics/040 Tuples.mp417.02MB

25 - Appendix 1 Python (& Finance) Basics/041 Dictionaries.mp417.88MB

25 - Appendix 1 Python (& Finance) Basics/042 Intro to Strings.mp432.73MB

25 - Appendix 1 Python (& Finance) Basics/043 String Replacement.mp49.28MB

25 - Appendix 1 Python (& Finance) Basics/044 Booleans.mp45.16MB

25 - Appendix 1 Python (& Finance) Basics/045 Operators (Theory).mp46.21MB

25 - Appendix 1 Python (& Finance) Basics/046 Comparison, Logical and Membership Operators in Action.mp420.94MB

25 - Appendix 1 Python (& Finance) Basics/047 Coding Exercise 4.mp436.73MB

25 - Appendix 1 Python (& Finance) Basics/048 Conditional Statements.mp422.19MB

25 - Appendix 1 Python (& Finance) Basics/049 Keywords pass, continue and break.mp419.95MB

25 - Appendix 1 Python (& Finance) Basics/050 Calculate a Project´s Payback Period.mp412.43MB

25 - Appendix 1 Python (& Finance) Basics/051 Introduction to while loops.mp420.05MB

26 - Appendix 2 User-defined Functions/001 Defining your first user-defined Function.mp422.21MB

26 - Appendix 2 User-defined Functions/002 What´s the difference between Positional Arguments vs. Keyword Arguments.mp429.3MB

26 - Appendix 2 User-defined Functions/003 How to work with Default Arguments.mp418.41MB

26 - Appendix 2 User-defined Functions/004 The Default Argument None.mp418.2MB

26 - Appendix 2 User-defined Functions/005 How to unpack Iterables.mp412.5MB

26 - Appendix 2 User-defined Functions/006 Sequences as arguments and args.mp421.25MB

26 - Appendix 2 User-defined Functions/007 How to return many results.mp45.93MB

26 - Appendix 2 User-defined Functions/008 Scope - easily explained.mp422.56MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/001 Modules, Packages and Libraries - No need to reinvent the Wheel.mp420.77MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/002 Numpy Arrays.mp421.41MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/003 Indexing and Slicing Numpy Arrays.mp46.58MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/004 Vectorized Operations with Numpy Arrays.mp412.1MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/005 Changing Elements in Numpy Arrays & Mutability.mp419.38MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/006 View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp410.73MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/007 Numpy Array Methods and Attributes.mp410.85MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/008 Numpy Universal Functions.mp48.94MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/009 Boolean Arrays and Conditional Filtering.mp49.68MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/010 Advanced Filtering & Bitwise Operators.mp418.54MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/011 Determining a Project´s Payback Period with np.where().mp413.49MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/012 Creating Numpy Arrays from Scratch.mp428.13MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/014 How to work with nested Lists.mp49.49MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/015 2-dimensional Numpy Arrays.mp410.65MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/016 How to slice 2-dim Numpy Arrays (Part 1).mp422.83MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/017 How to slice 2-dim Numpy Arrays (Part 2).mp44.57MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/018 Recap Changing Elements in a Numpy Array slice.mp410.9MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/019 How to perform row-wise and column-wise Operations.mp415.05MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/021 Intro to Tabular Data Pandas.mp410.58MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/022 Create your very first Pandas DataFrame (from csv).mp458.75MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/023 Pandas Display Options and the methods head() & tail().mp429.96MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/024 First Data Inspection.mp443.56MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/026 Selecting Columns.mp420.78MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/027 Selecting one Column with the dot notation.mp44.38MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/028 Zero-based Indexing and Negative Indexing.mp46.12MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/029 Selecting Rows with iloc (position-based indexing).mp461.29MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/030 Slicing Rows and Columns with iloc (position-based indexing).mp413.23MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/032 Selecting Rows with loc (label-based indexing).mp420.18MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/033 Slicing Rows and Columns with loc (label-based indexing).mp467.3MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/035 Summary, Best Practices and Outlook.mp430.98MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/037 First Steps with Pandas Series.mp414.48MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/038 Analyzing Numerical Series with unique(), nunique() and value_counts().mp40B

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/039 Analyzing non-numerical Series with unique(), nunique(), value_counts().mp40B

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/040 The copy() method.mp415.95MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/041 Sorting of Series and Introduction to the inplace - parameter.mp417.31MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/042 First Steps with Pandas Index Objects.mp427.17MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/043 Changing Row Index with set_index() and reset_index().mp458.74MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/044 Changing Column Labels.mp410.49MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/045 Renaming Index & Column Labels with rename().mp421.06MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/046 Filtering DataFrames (one Condition).mp423.87MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/047 Filtering DataFrames by many Conditions (AND).mp410.07MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/048 Filtering DataFrames by many Conditions (OR).mp413.1MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/049 Advanced Filtering with between(), isin() and ~.mp441.86MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/050 Intro to NA Values missing Values.mp424.04MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/051 Handling NA Values missing Values.mp434.16MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/052 Exporting DataFrames to csv.mp46.1MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/053 Summary Statistics and Accumulations.mp422.61MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/054 Visualization with Matplotlib (Intro).mp451.68MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/055 Customization of Plots.mp465.85MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/056 Histogramms (Part 1).mp410.98MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/057 Histogramms (Part 2).mp415.36MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/058 Scatterplots.mp417.47MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/059 First Steps with Seaborn.mp412.08MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/060 Categorical Seaborn Plots.mp455.74MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/061 Seaborn Regression Plots.mp451.48MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/062 Seaborn Heatmaps.mp419.82MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/063 Removing Columns.mp418.18MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/064 Introduction to GroupBy Operations.mp44.05MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/065 Understanding the GroupBy Object.mp419.83MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/066 Splitting with many Keys.mp431.94MB

27 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/067 split-apply-combine.mp431.9MB

28 - Appendix 4 Advanced Pandas Time Series Topics/001 Helpful DatetimeIndex Attributes and Methods.mp428.5MB

28 - Appendix 4 Advanced Pandas Time Series Topics/002 Filling NA Values with bfill, ffill and interpolation.mp436.19MB

28 - Appendix 4 Advanced Pandas Time Series Topics/003 Timezones and Converting (Part 1).mp416.77MB

28 - Appendix 4 Advanced Pandas Time Series Topics/004 Timezones and Converting (Part 2).mp426.48MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/001 Introduction to OOP and examples for Classes.mp454.98MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/002 The Financial Analysis Class live in action (Part 1).mp414.17MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/003 The Financial Analysis Class live in action (Part 2).mp412.25MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/004 The special method __init__().mp424.59MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/005 The method get_data().mp424.52MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/006 The method log_returns().mp410.89MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/007 String representation and the special method __repr__().mp413.47MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/008 The methods plot_prices() and plot_returns().mp413.34MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/009 Encapsulation and protected Attributes.mp419.23MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/010 The method set_ticker().mp419.39MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/011 Adding more methods and performance metrics.mp420.95MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/012 Inheritance.mp476.18MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/013 Inheritance and the super() Function.mp441.18MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/014 Adding meaningful Docstrings.mp439.16MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/015 Creating and Importing Python Modules (.py).mp410.97MB

29 - Appendix 5 Object Oriented Programming (OOP) Creating a Finance Class/016 Coding Exercise Create your own Class.mp420.15MB