Human vs Machines

ที่อัปเดต:
Chart patterns detection needs an extensive learning process and experience, no matter if you are a human or a machine!

Machine Learning Workflow:

There are five core tasks in the common ML workflow:

1. Get Data
2. Clean, Prepare & Manipulate Data
3. Train Model
4. Test Model
5. Improve

Since the chart patterns, beta version indicator has been released, I started working with it to find out how it works.

In the following examples, you will see the comparison between my pattern (left side) and platform pattern (right side)!
I activate the triangle, pennant, and wedge pattern indicator..!

1- Daily chart: machines did not detect anything:
สแนปชอต

2- 4 hours chart: machines did not detect anything:
สแนปชอต

3- 4 hour charts: I changed the regular time to extended hours!
สแนปชอต

Finally, the machine detects something..!

Educational point:

There are hundreds of thousands of indicators and oscillators out there, some work, some don't!

The question is:

Are you able to use them correctly and increase their performance???

Think about it..!


Best,
Moshkelgosha

DISCLAIMER

I’m not a certified financial planner/advisor, a certified financial analyst, an economist, a CPA, an accountant, or a lawyer. I’m not a finance professional through formal education. The contents on this site are for informational purposes only and do not constitute financial, accounting, or legal advice. I can’t promise that the information shared on my posts is appropriate for you or anyone else. By using this site, you agree to hold me harmless from any ramifications, financial or otherwise, that occur to you as a result of acting on information found on this site.
บันทึก
Human vs Machine, Elliott Wave
บันทึก
I recommend to read the update as well
Chart PatternsmoshkelgoshaPennantRIVNTriangle

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