Artificial intelligence, Backtesting, optimization for algorithmic trading with MetaTrader 5. Bot included
Description
You already know python, and you want to monetize and diversify your knowledge?
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You already have some trading knowledge, and you want to learn about artificial intelligence in algorithmic trading?
You are simply a curious person who wants to get into this subject?
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If you answer at least one of these questions, I welcome you to this course. For beginners in python, don’t panic! There is a python course (small but condensed) to master this python knowledge.
In this course, you will learn how to program strategies from scratch. Indeed, after a crash course in Python, you will learn how to implement a system based on Deep Learning (Deep neural network, Recurrent neural network).
Once the strategies are created, we will backtest them using python. So that we know better this strategy using statistics like Sortino ratio, drawdown the beta… Then we will put our best algorithm in live trading.
You will learn about tools used by both portfolio managers and professional traders:
Artificial intelligence algorithm
Apply Deep Learning in Live Trading
Predict stock prices using Deep Learning
Live trading implementation
Import financial data using MetaTrader 5 or Yahoo finance
DNN Algorithm
RNN algorithm to analyze and predict time series behavior
How to do a backtest a strategy using the programming language Python
Numpy, Pandas, Matplotlib
Sharpe, Sortino ratios
Alpha, Beta coefficients
Why this course and not another?
It is not a programming course nor a trading course. It is a course in which programming is used for trading.
A data scientist does not create this course, but a degree in mathematics and economics specialized in Machine learning for 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.
| Total Students | 9225 |
|---|---|
| Duration | 6 hours |
| Language | English (US) |
| Original Price | |
| Sale Price | 0 |
| Number of lectures | 78 |
| Number of quizzes | 0 |
| Total Reviews | 179 |
| Global Rating | 4.11 |
| Instructor Name | Lucas Inglese |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
🔥 Trending
Time & Value
- Est. time: 6 hours
- Practical value: 7/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Real World
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Real World
- Concise
- Clear Explanation
- Project
Watch-outs
- Error
- Subtitles
- Too fast
Difficulty
Best suited for
New learners starting from zero, Doers who prefer project-led learning, Learners who like theory + frameworks
Reminder – Rate this 100% off Udemy Course on Udemy that you got for FREEE!!
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