Public paper portfolio
The 10k Portfolio Lab Experiment.
Follow a live Binance paper portfolio across 10 coins. I calculate the indicators and rules first, then use AI to interpret the setup, suggest the call, and keep the reasoning visible in public.
No login required to follow the portfolio, inspect the reasoning, and watch the mistakes and recoveries in public.
Paper balance
$9,998.37
Updated 2 minutes ago
Weekly delta pending
Waiting for first full week
Lab protocol
- Signals are allowed in, but they do not get to act alone.
- Cash level, open exposure, and recent mistakes stay in the room.
- The public feed shows hesitation as clearly as action.
From signals to decisions
Why the lab is changing.
Signals are still useful. They just stop being enough the moment real capital, open positions, and patience enter the picture.
Isolated calls
A signal could point at a chart, but it had no view of the bankroll around it.
Structured context first
Indicators, strategy conditions, portfolio limits, and risk rules are calculated before the AI sees the setup.
Decision layer, not autopilot
The AI reads that bounded context, suggests the action and risk, and the automation places the order under my portfolio rules.
Decision desk + 10-coin universe
Click the map. Read the call.
The chart shows where a decision was logged inside the 10-coin universe. Click any decision point to open the reasoning, what it meant for the portfolio, and what levels matter next.
ADA
BTC/USD decision map
Sunday reality checks
The wall of lessons.
The lessons deserve their own archive. Each week should end with a compact summary of what happened, what changed in the portfolio, and what I learned from the process.
The AI got greedy.
A fast move looked attractive, but the lesson was that 4-hour setups still need confirmation before capital gets deployed.
Cash is also a position.
A quiet week reminded the lab that preserving reserve cash is often the right response when the board is noisy and overextended.
A HOLD can be the most honest call.
Not every chart deserves action. The public feed should teach restraint as clearly as it teaches conviction.
About the lab
This is learning in public.
The point is to make the system inspectable. You should be able to watch the portfolio, see how and why decisions are made, learn from it, and understand when I got something wrong.
If you spot wrong data or want to suggest an improvement, send feedback here.
If having your own personal lab sounds useful, leave your email on the waitlist. If enough people are interested, it is worth building.