
English | Size: 9.2 GB
Genre: eLearning
Create powerful Trading Strategies and fully automated AWS Trading Bots for Bitcoin & co. | Spot and Futures Trading
What you’ll learn
Build automated Crypto Trading Bots with Python, Binance and Amazon Web Services (AWS)
Spot Trading and Futures Trading
Create powerful and unique Crypto Trading Strategies
Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing (Paper Trading)
Deep Dive into the Binance API (Spot & Futures)
API Trading with Binance and many other Exchanges (Coinbase, Kraken & co.)
Truly Data-driven Trading and Investing
Margin Trading (Leverage)
Understand Trading: Order Types, Commissions, Bid-Ask-Spread, Slippage, Liquidation, etc.
Load Historical Market Data (Price, Volume and more) from Crypto Spot & Futures Markets
Get programmatic access to many Crypto Exchanges with the CCXT Library
Python Coding and Object Oriented Programming (OOP) in a way that everybody understands it
Coding with Numpy, Pandas, Matplotlib and Seaborn
Fully automate and schedule your Trades on a virtual Server in the AWS Cloud
Stream high-frequency real-time Cryptocurrency Data
Understand, analyze, control and limit Trading Costs
***Course fully revised and updated in October 2024***
Welcome to the most comprehensive Algorithmic Trading Course for Cryptocurrencies. It´s the first 100% Data-driven Crypto Trading Course!
Learn how some of the most successful Crypto Traders and Investors make Profits.
In this rigorous but yet practical Course, we will leave nothing to chance, hope, vagueness, or pure intuition! And it´s the most detailed course on the Binance API. Other Exchanges like Coinbase, Kraken, KuCoin, KuCoin Futures, OKEx, Bybit & co. are supported as well!
So what´s the ultimate goal of this course? Creating powerful and fully automated Crypto Trading Bots for Spot Trading and Futures Trading.
The course is structured in five Parts:
Part 1: Fundamentals of Trading, Binance, and Python for Finance
Trading vs Investing
Spot vs. Derivates (Futures) Trading
What you should know about Cryptocurrencies as an Asset Class
Trading 101: Market Orders, Limit Orders, Commissions, Spreads, Slippage, Market Depth, and more
Binance Overview and the Binance API
Financial Data Analysis with Python and Pandas
Part 2: Automated Crypto Spot Trading
Long-only Strategies
Enhanced Buy-and-Hold Strategies
Backtesting, Optimization, and Forward Testing of Trading Strategies
Implementing and automating Trades
Creating fully automated Trading Bots in the Cloud (AWS)
Real Trading and Paper Trading
Part 3: Automated Crypto Futures Trading
Futures and perpetual Futures
Long-Short Futures Trading Strategies
Margin Trading (Leverage)
Real Trading and Paper Trading with the Binance Futures API
Part 4: API Trading with other Exchanges
Getting programmatic access with the CCXT Library
Trading with CCXT and Binance
Trading with CCXT and FTX
more examples to come…
Part 5 (Appendix): A Python Crash Course (optional)
Everything you need to know about Python Coding for this Course – no more, no less
What else should you know about me and the course?
The course shows how to do things right. But equally important, it highlights the most commonly made mistakes in (Crypto) Trading. There is hardly any other business where beginners make so many mistakes. Why is that? A lack of skills, expertise, and experience. And: Overconfidence and overreliance on intuition. As a finance professional with an extensive academic background (MSc in Finance, CFA) my clear message is: For Trading and Investing, intuition and common sense are not your best friends. Very often, the most intuitive solution is not the correct solution!
This course is “not only” a crypto trading course but also an in-depth Python Course that goes beyond what you can typically see in other courses. Create Software with Python and run it in real-time on a virtual Server (AWS)!
What are you waiting for? Join now!
Thanks and looking forward to seeing you in the Course!
Who this course is for:
Beginners who want to start with Cryptocurrencies and want to do it right straight way (avoiding common mistakes).
Cryptorcurreny Traders and Investors who want to professionalize and automate their Business.
Cryptorcurreny Traders and Investors tired of relying on simple strategies, chance and hope.
Finance & Investment Professionals who want to step into Data-driven Finance.
Data Scientists and Machine Learning Professionals with an interest in Trading and Cryptos.

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English | Size: 9.2 GB
Genre: eLearning
The complete Product Development and Systems Engineering course! Earn 25 contact hours!
What you’ll learn
How to develop complex products or systems
How to apply “systems thinking” by approaching problem solving holistically, from the top-down.
What a product hierarchy is and how to use them.
How to define system boundaries and primary interfaces in a context diagram.
How to identify, involve and elicit requirements from system users and key stakeholders.
How to compartmentalize your need / problem set into manageable domains, ultimately arriving at solutions from the “top-down”.
Who a Systems Engineer is and what their roles and responsibilities are.
How Systems Engineering will add value to your product development effort.
How to apply the Systems Engineering Method toward solving your identified need / problem set.
How to manage across your product’s life cycle, in-depth, phase by phase.
What milestones and decision gates are and how to apply them on your development project.
How to decide which life cycle strategy is best for your development project.
How to apply the various technical processes throughout your product’s life cycle.
How to formulate the operational concept and other life cycle concepts for your system.
How to elicit and capture business and stakeholder requirements.
How to capture a formal problem or need statement, which kicks off your development project.
How to define, derive and decompose system requirements.
How to write effective requirements.
How to capture your requirements in a System Requirements Specification (SyRS).
How to identify the different types of requirements and their role in the development effort.
What architectures are and how to define and capture the architecture for your system.
What Model Based Systems Engineering (MBSE) is and how to apply it.
What the System Modeling Language (SysML) and Unified Modeling Languages (UML) are.
How to create each type of SysML and UML diagram.
How to develop formal use cases.
How to decompose system functions or behaviors into smaller, more manageable sets.
How to construct the functional flows and relationships throughout your system architecture.
How to formulate the physical solution for your product.
How business relationships and contracting play a role in product development.
What Technology Readiness Levels (TRLs) are and how they are used.
How to apply system implementation, integration and verification.
How verification and validation help foster a successful product.
How to apply systems engineering toward system manufacturing & production.
How to transition your product into the marketplace.
How to sustain and upgrade your products once they are fielded and being used.
How to plan and execute the ultimate disposal of your system.
How to apply project management principles toward your product development efforts.
What the Systems Engineering Management Plan (SEMP) is and how to make it effective for your project.
What a Work Breakdown Structure (WBS) is and how to use it on your project.
What the Product Breakdown Structure (PBS) is and how it is different than the WBS.
How to apply formal decision management and trade study processes.
How to manage risks for your development effort.
How to manage the configuration of your system and its enabling elements.
How to apply quality assurance toward developing your product.
How to apply information management for your development effort.
How to apply measures, such as: Measures of Effectiveness (MOEs), Measures of Performance (MOPs), Key Performance Parameters, Technical Performance Measures
How to form business relationships and contracts using the acquisition process and supply process.
How to apply life cycle management.
How to manage the portfolio of projects.
How human resource management plays a role in product development.
How to apply quality management throughout the organization.
How to tailor the processes to suit the needs of your projects or organizational goals.
How to use modeling & simulation and prototyping to save time and money on your development effort.
How to use the Object Oriented Systems Engineering Method (OOSEM) toward the development of system software.
How to apply Lean Systems Engineering principles.
The fundamentals of Agile Systems Engineering.
The fundamentals of specialty engineering disciplines
Finally – How to prepare for the INCOSE certification knowledge exam.
Product Development & Systems Engineering uses a structured yet flexible approach to provide a holistic, solid foundation to the successful development of complex products or systems.
This course will take you step by step through the product life cycle, from conception to design, development, production, deployment, sustainment and disposal. You will learn how the different components of a system interrelate, and how each contributes product accomplishing its missions. Systems engineering terminology, which can so often confuse the newcomer, is presented in an easily digestible form. Video lectures for individual topics will introduce key concepts. This course welcomes anyone who wants to find out how complex products or systems can be developed and implemented successfully. It is relevant to anyone in project management, engineering, quality assurance, product support, operations, management, maintenance and many other areas. No specific background is required, and we welcome learners with all levels of interest and experience.
The course aligns closely with ISO/IEC/IEEE 15288:2023 and 29148:2023 – the same standards used by the International Council on Systems Engineering (INCOSE). This course covers most of the material from the INCOSE Systems Engineering Handbook 5th edition – and more!
If you are interested in INCOSE Exam practice questions, head over to the main learnSE site for 1,200 questions and fillable IPO sheets. You won’t find these on Udemy. Note: The practice exam question bank is a separate course from this one.
Who this course is for:
Product developers
Engineering and systems engineering professionals
Engineering students and instructors
Professionals seeking INCOSE certification

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