Is it too hard to turn investment cognition into cash? Why not put this tireless AI strategist in your pocket!

To be honest, when I first heard about AI stock picking, I was extremely skeptical. There are too many shell tools on the market that just connect an API, piece together a few hot tech stocks, and dare to call themselves AI robo-advisors.
But after I actually ran the Bitget GetAgent Playbook myself, I realized I was wrong. Its depth of thinking even surpasses many researchers with 3-5 years of experience, and it’s possible it could surpass the top analyst in the future!
Investing is the monetization of cognition, and what AI does best is precisely stripping away emotional noise and restoring the essence of business. In the Playbook, I saw several investment schools:
1. Selected High-Quality Business Model Stock Strategy.
This is the AI embodiment of Buffett and Munger's investment philosophy. Humans reading financial reports are easily fooled by flashy revenue growth, but AI ignores those superficial things.
It directly checks whether the company has negative working capital? Whether it's doing business with no capital through prepayments?
It looks at its long-term return on invested capital and return on equity? Whether it's asset-light expansion with strong free cash flow!
2. Selected AI Theme Stock Strategy.
This strategy adopts a very clever "two-stage research method." The first step is initial screening, cutting out all the hype-chasing companies that just changed their names, have no relation to AI in their main business, and have extremely fragile finances.
The second step slices the AI industry chain like cutting a cake, from the underlying computing infrastructure to the middle platform models to the top-level application layer.
3. Macro Event-Driven · Cross-Asset Panoramic Investment.
The real financial world is interconnected—wars in the Middle East, non-farm payrolls exceeding expectations, the Bank of Japan raising interest rates.
This strategy combines the latest macroeconomics and geopolitics; it might package a dozen U.S. stocks, a few crypto assets, and even commodities. Then it clearly tells you: why this allocation, and where are the take-profit and stop-loss levels.
In addition, it also offers a "High Beta Growth Stock" layered allocation for the upward risk appetite phase of a bull market, and a "Nasdaq 100 Index Enhancement" strategy that uses QQQ as a base position and then overlays selected component stocks.
If you're also tired of groping like blind men in a sea of information, and if you want to experience what it's like to trade with a tireless AI researcher, I suggest you verify it with your own investment logic!
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