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Thanks to AI coding, a complex learning process is now much simpler. I filtered the top 7% YTD stocks from 2000–2026 (including delisted ones), get 1400+ stocks, and visualized them with TradingView Lightweight Charts, featuring auto-marked highs/lows and direct period displays. Browse by year or symbol, even delisted stocks... show more
110,141 次观看 • 7 个月前 •via X (Twitter)
23 条评论

What are you using as your data source?

Bravo! where did you source the data?

TV supports delisted securities ? how ?

This is a great use case for AI coding. Data viz used to need a dedicated frontend dev. Now anyone with domain knowledge can build it. The barrier to entry keeps dropping.

This is fantastic, where did you get the historical data for 1400+ stocks?

Well done sir. What API do you use?

Thank you look forward to see your work mate.

Great stuff

Where do u get your data from?

Amazing

Impressive

Very interesting angle. There’s real value in studying what the best setups actually looked like before they moved rather than just backtesting rules against them. I feel that the human pattern recognition piece is harder to systematise than people would admit.

Cool man, would be nice if we can get lower time frame replay on the breakout day

Great project!

謝謝

So generous of you. No words! can't wait to see it. Thanks

Great! Looking forward to

That is awesome. Following along.

Damn that is amazing, lot of time gain , specially for people creating their model book. Will you make it available for people or is it a private project ?

I will share it

that's fantastic thanks a lot

Great stuff, Will. Like many others, I'm asking: where did you get the delisted stocks data from? Finding those historical prices data is tricky as not many providers do that

This shall make deep dives so much easier

