AI Trading Screener | Create Chartink Screeners Using ChatGPT
AI Trading Screener | Himanshu Arora explains how traders can use AI tools, ChatGPT, Chartink Magic Filter and Screener.in to create trading screeners faster.
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In this video, Himanshu Arora explains how AI can help traders create screeners without manually writing complex conditions. He starts by explaining that sometimes traders may not need to use a separate AI tool because some platforms already have AI-linked features built into them.
The video focuses on how traders can use Chartink’s Magic Filter to create screeners by simply typing conditions in normal language. Himanshu shows examples like a multi-timeframe MACD screener, candlestick + RSI screener, and a combination of technical and fundamental filters.
He also explains how ChatGPT can help traders convert screenshots or trading ideas into usable text, and how it can be used to create filters for platforms like Screener.in. At the same time, he clearly explains that AI is not perfect. It can make mistakes, misunderstand conditions, fail with some fundamental filters, and it also has token limits.
This video is useful for traders who want to learn AI tools for trading, Chartink screeners, ChatGPT for trading, Screener.in filters, technical screeners, fundamental stock screeners and practical AI use cases in the stock market.
In this video, you will learn:
what is an AI trading screener
how AI can help traders create screeners
how to use Chartink Magic Filter
how to create screeners without coding
how to create a multi-timeframe MACD screener
how to create RSI and candlestick-based screeners
how to combine technical and fundamental conditions
how ChatGPT can convert screenshots into text
how to use ChatGPT for Screener.in filters
why AI should not be trusted blindly
where AI can make mistakes while creating screeners
why token limits matter in AI tools
how traders can save time using AI platforms
why AI is a support tool, not a complete trading system
Key points discussed:
AI can help traders save time while creating screeners
Chartink Magic Filter can convert normal language into screener conditions
traders do not always need coding knowledge to build screeners
AI can create technical screeners more easily than complex fundamental screeners
AI can make mistakes, so every condition must be checked manually
ChatGPT can help convert screenshots or written strategy ideas into text
Screener.in filters can also be created with the help of AI
AI tools have token and file upload limits
free and paid versions of AI tools have different usage limits
AI is useful for basic assistant work like drafting, formatting and converting text
advanced work may need better tools and proper understanding
traders should learn AI but should not depend on it blindly
Timestamps:
0:00 AI-linked platforms and trading workflow
0:20 Introduction by Himanshu Arora
0:30 AI and algo trading video series overview
1:18 Why using AI is not as easy as it looks
1:56 ChatGPT chart analysis and AI token limits
4:00 Chartink Magic Filter for creating screeners
5:10 MACD multi-timeframe screener example
7:30 Weekly candlestick + RSI screener example
10:00 Technical + fundamental screener using AI
14:00 Screener.in fundamental stock filter with ChatGPT
18:00 Final thoughts on AI, trading and upcoming course
This video is useful for traders who want to understand AI tools for trading, AI trading screeners, Chartink screener creation, ChatGPT for trading, Screener.in filters, technical analysis, fundamental screening and stock market workflows.
Disclaimer:
This video is for educational purposes only. It is not financial advice, investment advice or a recommendation to buy or sell any security, commodity, crypto asset or derivative. Please do your own research and consult your financial advisor before making any trading or investment decision. Trading and investing in financial markets involve risk.
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