Download Algorithmic Trading A-Z with Python, Machine Learning & AWS

What you would learn in Algorithmic Trading A-Z with Python, Machine Learning & AWS course?

Did you realize that 75% of all retail traders make losses on Day Trading? (some sources suggest that more than 95 percent)

As an experienced Data Scientist and seasoned Finance Professional, this should not come as an unexpected finding. Day traders generally do not follow the five basic principles of (Day) trading. This course will cover each of them in detail!

1. Learn and understand what it takes to be a successful Day Trading Business

Do not start trading if you don't know the meanings of concepts like Bid-Ask Spread Leverage, Pips Requirement, Half-Spread costs, and so on.

This course's first segment concerns Day Trading A-Z, using the brokers Oanda and FXCM. It explains in detail the principles of the rules, terms, and terms that govern Day Trading (covering Forex, Indices, Stocks, Commodities, Baskets, and much more).

2. Utilize powerful and unique trading Strategies

You must be able to establish a Trading Strategy. A gut feeling or intuition isn't a strategy that will work over the long term (at least in 99.9 percent of the instances). Relying on basic Technical Rules doesn't work either because they are used by everyone.

You will be taught how to design more intricate and distinctive Trading Strategies with Python. We will blend simple and more sophisticated technical indicators and design Machine Learning- and Deep Learning powered strategies. The course covers all necessary programming skills (Python, Numpy, Pandas, Matplotlib, scikit-learn, Keras, and Tensorflow) from beginning to end efficiently.

3. Examine your Strategies before deciding to make a real investment (Backtesting or Forward Testing)

Are you sure that your Trading Strategy is profitable? You must test thoroughly your strategy before going live.

This can be described as the most comprehensive and rigorous Forward Testing / Backtesting course available.

You will be taught how to use Vectorized Techniques for Backtesting, Iterative Testing (event-driven), live testing using play money, and much more. In addition, I will discuss the differences between forwarding Testing and Backtesting and explain what you should apply to test your ideas. The techniques and frameworks for backtesting covered in the course could also be used to develop long-term investment strategies!

4. Be aware of the trading Costs. It's all about trading Costs!

"Trading with zero commissions? Great! " ... But there's still the Bid-Ask Spread, and even if the 2 Pips seem pretty low, they aren't!

The course will show how to find profitable Trading Strategies before Trading Costs are manageable. It's much more challenging to come up with profitable Strategies after trading Costs! Learn how to incorporate the Trading Costs within your Strategy and into Strategy forward testing or backtesting. Most importantly, learn how you can manage and cut down on trading Costs.

5. Automate your Trades

Manual trading is prone to errors. It is time-consuming and takes time, leaving an opportunity for emotional making.

This course will show you how to automatize and execute your Trading Strategies with Python with powerful Broker APIs and Amazon Web Services (AWS). Create your trading Bot and fully automate/plan your trading sessions on Amazon Web Services (AWS)! AWS Cloud!

Finally... this is not simply a simple course on automated Day Trading:

• The techniques and frameworks discussed can be applied to long-term investment and investing in the long-term as well.

• It's an in-depth Python Course that goes beyond the specific content you'll find in other classes. Create Software using Python and then run this in real-time on the virtual Server (AWS)!

• The data we feed Machine Learning & Deep Learning Algorithms with real-time data and execute actions based on ML/DL that are real-time!

Course Content:

• Create automated trading Bots using Python as well as Amazon Web Services (AWS)
• Create innovative and distinctive trading Strategies using the technical indicator and Machine Learning or Deep Learning.
• Tests rigorously of Strategies Testing Strategies: Backtesting, Forward Testing, Live Testing using paper money.
• Fully automate and plan your trades using the virtual Server within AWS Cloud. AWS Cloud.
• Data-driven Trading and Investing.
• Python Coding and Object Oriented Programming (OOP) is an approach that is understood by everyone who uses it.
• Programming using Numpy, Pandas Matplotlib, Scikit-learn, Keras, and Tensorflow.
• Know Day Trading A-Z Pips, Spreads Margin, Leverage Prices for Bid and Ask Charts, Order Types, and more.
• Day trading with brokers OANDA and FXCM.
• High-frequency streaming of real-time data.
• Learn, analyze, manage and limit trading Costs.
• Utilize Broker APIs that are powerful and connect to Python.

Download Algorithmic Trading A-Z with Python, Machine Learning & AWS from below links NOW!