Data Structures and Algorithmic Trading: Machine Learning
Course description
Data Structures and Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions over time. They were developed so that traders do not need to constantly watch a stock and repeatedly send those slices out manually. Algorithmic trading is not an attempt to make a trading profit. It is simply a way to minimize the cost, market impact and risk in execution of an order, but if you can’t use this incredible tool, you might miss the right entry or exit spots that other traders will gladly take.
Read more about the course
What if you could change that?
My complete Algorithmic Trading course will show you the exact techniques and strategies you need to succeed in the financial markets, master trading, build a forex robot and learn machine learning.
For less than a movie ticket, you will get over 4 hours of video lectures and the freedom to ask me any questions regarding the course as you go through it. :)
What Is In This Course?
Your Trading Will Never Be The Same.
Except if you’re already an excellent trader, know the importance of sorting, use array rotation, read technical analysis, finding shortest path in a graph and know AVL trees, you are going to lose more opportunities to code faster and more effectively.
In This Data Structures & Algorithmic Trading Training, You'll Learn:
- Learn Algorithmic Thinking
- Computational Problem Solving Using Algorithms
- Algorithmic Design Process
- Importance of Sorting
- Array Rotation
- Insertion Sort
- Merge & Heap Sort
- Greedy Algorithms
- Topological Sorting
- Breadth & Depth First Traversal
- Hashing
- Open Addressing
- Finding Shortest Path in a graph
- AVL trees
- Computational Complexity and Machine Learning
Is This For You?
- Do you want to do algorithmic trading with machine learning?
- Are you afraid of not creating a good Forex robot and earn money through trading?
- Do you think you will feel proud making successful trades with your Forex robots?
Then this course will definitely help you.
This course is essential to all Forex trader, stockbroker, entrepreneur, systematic traders, short term traders and anyone looking to learn algorithmic trading.
I will show you precisely what to do to solve these situations with simple and easy techniques that anyone can apply.
Why To Have Strong Algorithmic Trading Skills?
Let Me Show You Why To Have Strong Algorithmic Trading Skills:
1. You will succeed in the financial markets.
2. You will master trading.
3. You will build a forex robot.
4. You will learn machine learning.
- No Prior Knowledge Or Work Is Necessary To Take This Course.
- Pen And Paper For Precious Notes
- All Forex Trader, Stockbroker, Entrepreneur, Systematic Traders, Short Term Traders
- Anyone Looking To Learn Algorithmic Trading.
- This Is Not For People Looking For A Quick Or Lazy Way Of Trading
What you'll learn:
- Learn Algorithmic Thinking
- Computational Problem Solving Using Algorithms
- Algorithmic Design Process
- Importance of Sorting
- Array Rotation
- Insertion Sort
- Merge & Heap Sort
- Greedy Algorithms
- Topological Sorting
- Breadth & Depth First Traversal
- Hashing
- Open Addressing
- Finding Shortest Path in a graph
- AVL trees
- Computational Complexity and Machine Learning
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All Course Lessons (22)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction to Algorithmic Thinking Demo | 05:21 | |
| 2 | Computational Problem Solving Using Algorithms | 04:53 | |
| 3 | Algorithmic Design Process | 14:10 | |
| 4 | Importance of Sorting | 06:53 | |
| 5 | Array Rotation | 04:03 | |
| 6 | Insertion Sort | 13:26 | |
| 7 | Merge Sort | 16:57 | |
| 8 | Sorting Types: Heaps | 05:57 | |
| 9 | Heap Sort | 12:46 | |
| 10 | Greedy Algorithms | 04:42 | |
| 11 | Topological Sorting | 04:28 | |
| 12 | Breadth First Traversal | 05:31 | |
| 13 | Depth First Traversal | 04:53 | |
| 14 | Introduction to Hashing | 05:23 | |
| 15 | DIJKSTRA Algorithm with example | 05:37 | |
| 16 | Open Addressing | 04:29 | |
| 17 | Open Addressing explained with example | 03:30 | |
| 18 | Finding Shortest Path In A Graph | 02:43 | |
| 19 | AVL trees | 02:24 | |
| 20 | AVL Trees Part 2 | 04:20 | |
| 21 | Computational Complexity and Machine Learning | 02:55 | |
| 22 | Machine Learning | 05:11 |
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