Is AI stock trading really a tax on intelligence?

What would a self-iterating AI trading agent
look like when it encounters a once-in-a-decade storage market cycle?
Many traders either purely rely on K-line charts or simply tell stories based on fundamentals. But real money comes from walking on both legs.
That’s why my carefully iterated AI trading agent is working hard to walk on both legs.
Fundamentals: track PEG, CPI, ROIC in real time, plus the CapEx-related curves most critical for this AI cycle—where big tech capital expenditure goes, that’s where the opportunity is.
Technicals: watch RSI, MACD, volume. Whether sentiment has peaked, whether capital has entered, how much is priced in—price and volume speak.
Fundamentals give direction, technicals give timing—dual verification.
And it keeps evolving. Every market cycle feeds it, and every day it understands the market a little better than yesterday.
This storage supercycle—HBM, DRAM all surging—is precisely its training ground.
I’m quite curious: What would a self-iterating AI trading agent look like when it encounters a once-in-a-decade storage market cycle?
Bitget Hackathon project submission:
#BitgetHackathon @Bitget_AI