Algorithmic trading using Price action strategies
Learn to create algorithmic trading strategies from scratch using patterns and figures detection, and then put them into live trading using MetaTrader 5 and Python. This course covers data cleaning, financial data management, Python programming for algorithmic trading, and the combination of price action and technical analysis for optimal trading performance. Get a comprehesive understanding of this course which is a cost course. AZ Class provides this course data for free. Learn more certificate and details here. ▼
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Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [October 18th, 2023]
What does this course tell?
(Please note that the following overview content is from the original platform)
Figures detection Patterns detection Backtest using MetaTrader 5 and Python Bots included
What youll learn:
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 createalgorithmic 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
dont 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 backtestingThen 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 Dont miss an opportunity to improve your knowledge of this fascinating subject
We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it:
(Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.)
What skills and knowledge will you acquire during this course?
During this course on algorithmic trading using price action strategies, the learner will acquire the following skills and knowledge:
1. Figures detection: The learner will be able to detect various trading figures through candlestick analysis.
2. Patterns detection: The learner will learn how to identify and analyze patterns in financial data to create trading strategies.
3. Backtesting using MetaTrader 5 and Python: The learner will gain proficiency in backtesting their trading strategies using both MetaTrader 5 and Python.
4. Bots included: The course will cover the use of bots in algorithmic trading, allowing the learner to automate their trading strategies.
5. Data Cleaning using Pandas: The learner will learn how to clean and preprocess financial data using the Pandas library in Python.
6. Financial data management: The course will cover the use of Numpy, Pandas, and Matplotlib for managing and analyzing financial data.
7. Python programming for algorithmic trading: The learner will acquire programming skills in Python specifically tailored for algorithmic trading.
8. Optimization through price action and technical analysis: The learner will understand how to combine price action and technical analysis to optimize their trading performance.
9. Quantitative analysis: The learner will perform quantitative analysis to find patterns in financial data and develop profitable trading strategies.
10. Vectorized backtesting: The course will teach the learner how to perform efficient and accurate backtesting using vectorized techniques.
11. Portfolio management: The learner will learn portfolio management techniques to reduce drawdowns and maximize returns by combining multiple trading strategies.
12. Modeling: The course will cover modeling techniques such as price action (support resistance) and patterns detection (trading figures detection).
13. Free Python crash course: For beginners in Python, the course includes a free crash course to master the basics of Python programming.
14. Created by a mathematics and economics expert: The course is designed and taught by a professional with a degree in mathematics and economics, specializing in applying mathematics to finance.
15. Access to a free Discord forum: The learner can ask questions and access quantitative finance articles by registering on the course's free Discord forum.
16. Satisfaction or refund guarantee: The course offers a 30-day satisfaction or refund policy, ensuring that learners have the opportunity to improve their knowledge in algorithmic trading.
Who will benefit from this course?
This course will benefit individuals who are interested in algorithmic trading and want to learn how to create trading strategies using price action and pattern detection. It is suitable for those with trading knowledge who want to delve into quantitative trading and finance. The course is also suitable for curious individuals who want to monetize and diversify their knowledge. Beginners in Python need not worry as there is a free Python crash course included to master the programming language.
By taking this course, learners will be able to create robust trading strategies using price action, perform quantitative analysis to identify patterns in data, conduct vectorized backtesting, and apply portfolio techniques to reduce drawdown and maximize returns. The course covers modeling price action and pattern detection, proper backtesting techniques, and strategies portfolio management.
What sets this course apart is its focus on using statistics, programming, and financial theory for trading. It is created by an expert with a degree in mathematics and economics specializing in mathematics applied to finance. Learners can also engage with the instructor and access additional resources through a free Discord forum. Additionally, the course offers a 30-day satisfaction guarantee, ensuring learners have the opportunity to improve their knowledge in this fascinating subject.
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