Create an algorithmic trading strategy using patterns detection or figures detection from scratch
Put any algorithm in live trading using MetaTrader 5 and Python
Data Cleaning using Pandas
Manage financial data using Numpy, Pandas and Matplotlib
Python programming for algorithmic trading
Combine price action and technical analysis to optimize your performance
Detect trading figures through the candlestick
Do you want to create algorithmic trading strategies?
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 price action to create robust 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 techniques to reduce the drawdown and maximize your returns.
You will learn and understand quantitative analysis used by portfolio managers and professional traders:
- Modeling: price action (Support, resistance) patterns detection (trading figures detection)
- Backtesting: Make a backtest properly without error and minimize the computation time (Vectorized Backtesting).
- Portfolio management: Combine strategies properly (Strategies portfolio).
Why this course and not another?
- This is not a programming course nor a trading course or a machine learning course. It is a course in which statistics, programming and financial theory are used for trading.
- This course is not created by a data scientist but by a degree in mathematics and economics specializing in mathematics applied to finance.
- 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.
