Build a Crypto Bot, 100% Functional - Algorithmic Trading
What you'll learn
- Use Python to automate your cryptocurrency trading
- Backtesting strategies with data directly from the exchange
- Communicate with the bot through your phone
- Manage the bot with your phone while trading live
- Run live simulations with real data
- Connect to various exchanges, including Binance
- The best working environment to develop Algorithmic Trading strategies with a free IDE
- How to use Docker and Docker Compose alongside with Python
- How to use the Freqtrade open source trading bot
- No previous experience is needed, only the desire to learn.
- For Windows users, it is recommended to have Windows 10 or later installed
Algorithmic Trading is difficult, and even more so if you are trying to generate real and consistent profits. In this course you will learn everything you need to know to start developing and launching automated trading strategies, while making use of free and open source tools that will not only facilitate your development but also save you a lot of time and money.
Some of the topics you will be learning in this course:
✓ How to perform 100% automated trading in the cryptocurrency market (Bitcoin, Ethereum, Solana, etc ...)
✓ How to use the Freqtrade trading bot (free and open source)
✓ How to download and use historical data directly from the exchange
✓ How to develop and implement effective trading strategies
✓ The correct way to backtest your trading strategies
✓ How to interpret the results of an automated backtest
✓ Control your bot from anywhere using your phone
✓ How to test your strategy in a real live market, thus avoiding overfitting.
✓ How to use a high-end IDE for Python development
✓ Programming in Python language for the development of automated trading and investments.
✓ Visualization of financial data, trading indicators, and signals.
✓ and without a doubt, much more!
No previous experience in trading or programming is necessary. Here you will learn everything, including how to use the Python programming language for automated trading and investing.
See you on the other side!
Who this course is for:
- Traders or aspiring traders who want to be part of the new market standard that is Algorithmic Trading and Automated Investments using the Python programming language.
QuantCopilot was created to provide real education and real tools, in the world of algorithmic trading and automated investments, sharing with our students all the knowledge in what has been proven to work in today's markets, with real scenarios and real experiences.
In this way, helping our students to learn important skills that allow them to plan, develop and deploy their own trading strategies or investments analysis, thus acquiring a competitive edge and a real opportunity to succeed in today's market environment.
Frank has a great passion for technology used for finance and investing. Having been immersed in this field for several years, he has developed a deep understanding of the many nuances that shape the financial and investment industry, alongside trading and automation.
He has always sought to simplify complex issues like Algorithmic Trading and automated finance, in order to make them accessible and easy to understand, even for those without any experience in technology or trading.
Nowadays he spends most of his time at QuantCopilot, the first education platform where you can learn algorithmic trading and automated finance without the need for prior technology experience or complex trading knowledge.
Frank uses all of his knowledge and experience to share everything he knows. His approach has one thing in common: the contents and concepts are 100% practical and tested in the real world.
His work and experience have made him a firm believer that making decisions based on data is the key factor to be successful in today's world, and even more when it comes to trading and automated investing.
His main goal is that you acquire the necessary skills and you really understand the concepts so that you can have a real opportunity in the financial markets.