What you will learn
Create Forex strategies from scratch using different techniques like Quantitative technical analysis and Machine Learning
Import Forex prices directly from your broker
Put your profitable strategies in Live Trading using MetaTrader 5 and Python
Plot financial data
Vectorized Backtesting
Manage financial data using Pandas
Create and use template of code to create complexe strategies in few lines of code
Manage the risk of the currencies
Incorporate the cost in your analysis
Combine Forex strategies using portfolio allocation optimization to optimize the Sortino ratio
Find when you need to stop a Machine Learning algorithm
Learn some risk management techniques like the Drawdown break strategy (Understand also their strengths and the weaknesses)None. You have to be motivated to lea
Description
Do you want to create quantitative FOREX strategies to earn up to 60%/YEAR ?
You already have some trading knowledge and you want to learn about quantitative trading/finance?
You are simply a curious person who wants to get into this subject to monetize and diversify your knowledge?
If you answer at least one of these questions, I welcome you to this course. All the applications of the course will be done using Python. However, for beginners in Python, don’t panic! There is a FREE python crash course included to master Python.
In this course, you will learn how to use technical analysis and machine learning to create robust forex strategies. You will perform quantitative analysis to find patterns in the data. Once you will have many profitable strategies, we will learn how to perform vectorized backtesting. Then you will apply portfolio and risk management techniques to reduce the drawdown and maximize your returns.
You will learn and understand crypto quantitative analysis used by portfolio managers and professional traders:
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Modeling: Technical analysis (Bollinger Bands), Machine Learning (Support vector machine).
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Backtesting: Do a backtest properly without error and minimize the computation time (Vectorized Backtesting).
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Risk management: Manage the drawdown(Drawdown break strategy), combine strategies properly (Sortino criterion optimization).
Why this course and not another?
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This is not a programming course nor a trading course or a machine learning course. It is a course in which statistics, financial theory, and machine learning are used for trading.
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This course is not created by a data scientist but by a degree in mathematics and economics specializing in mathematics applied to finance.
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You can ask questions or read our quantitative finance articles simply by registering on our free Discord forum.
Without forgetting that the course is satisfied or refunded for 30 days. Don’t miss an opportunity to improve your knowledge of this fascinating subject.
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