Autonomous AI trading engine · paper (real market data)
An AI is trading a real $1,000 — and showing its work.
Around the clock, Claude reads the 4-year crypto cycle, the time-of-day volatility windows, and live momentum signals — then decides to buy, sell, or hold. Watch exactly how it thinks, live.
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How the engine sees the market
Live market — the candles the engine reads
What the AI has learned
This isn't a fixed program. Every night the AI studies its own completed trades, measures what actually made or lost money, and rewrites its own strategy playbook — which it then reads before every decision. Here's its real track record and the lessons it has drawn from experience. (The safety rules never change — only the strategy gets smarter.)
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Why start now? The magic of time.
Kip is 11. This money won't be touched for decades — and that's the secret. Here's what a single $1,000, invested early, can become over a lifetime at different yearly growth rates. (Illustrative compounding — real returns swing wildly and nobody earns a fixed rate forever. But the shape is the lesson.)
Want to build one like it?
This whole engine is about 300 lines of Python, a free paper-trading account, and an AI that shows its reasoning. The deep-dive page breaks down every part — the three market lenses, how the AI decides, the safety rails, the exact free tools, and a step-by-step recipe. Scan the code or tap the button.
See how it works →Kip Capital is an educational science-fair project by an 11-year-old. It trades a paper account against live market data — no real money is at risk. Nothing here is financial advice. Crypto is extremely volatile; most active strategies underperform simply buying and holding a low-cost index fund. An Outlaw Holdings project.
KIP