Re: Something interesting from Chatgpt/AI please post here

371
Pelle wrote: Sun Jan 18, 2026 4:11 am Reversal Detection with Dynamic Stops - Multi-EMA Zigzag System by NPR21
https://www.tradingview.com/script/tC3V ... MA-Zigzag/
Hi Pelle,

Thank's for share this 'Reversal Detection ...
based 'Zig Zag' Concept.

I think Smart Money Volume Index [AlgoAlpha]
based Volume more Accurate than Zig Zag.
It more interesting to Convert MT4 indicator.
This script measures buying and selling interest by comparing how price behaves on rising volume versus falling volume. It separates what is often called “smart money” activity from more passive volume and turns that relationship into a normalized index. The result is an oscillator that shows whether buyers or sellers are in control, how strong that control is, and when interest reaches extreme levels that tend to matter for reversals or continuations.
It's NEW Posted by AlgiAlpha 21 Hours ago...

I will appreciate if you have provide plenty of time & like to Convert MT4.

LINK :
https://www.tradingview.com/script/WBJh ... AlgoAlpha/
Always looking the GREAT, never left GOOD Point...


Re: Something interesting from Chatgpt/AI please post here

372
Tsar wrote: Sun Jan 18, 2026 4:51 am Hi Pelle,

Thank's for share this 'Reversal Detection ...
based 'Zig Zag' Concept.

I think Smart Money Volume Index [AlgoAlpha]
based Volume more Accurate than Zig Zag.
It more interesting to Convert MT4 indicator.



It's NEW Posted by AlgiAlpha 21 Hours ago...

I will appreciate if you have provide plenty of time & like to Convert MT4.

LINK :
https://www.tradingview.com/script/WBJh ... AlgoAlpha/
Open a free tradingview chart and add that indicator there.

I looked at it today, but it wasn't convincing.

Re: Something interesting from Chatgpt/AI please post here

373
Here’s something interesting from ChatGPT/AI 🤖
I put together an AI-inspired scalping strategy — rules-based, minimal indicators, focused on high-liquidity sessions and quick feedback loops.

It’s purely educational and designed to show how “AI thinking” (filters, confluence, risk caps) can be applied to discretionary trading.