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BibaMoney TVIJO AIOS NETWORK

Experiment decision · observed 2026-07-30

AI Trader signal-copying — stopped

The external crowd did not show a tradeable edge in our independent forward evaluation. BibaMoney preserves the failed result and moves the product toward reproducible strategy audits.

STOP · NO EDGE

GOGA safety layers · public read-only

Safety & governance snapshot

Aggregated from Tvijo AIOS /api/v1/trading/safety/*. No user accounts, ledger, confirmations, or execution controls on this surface.

read-only

Layer status

  • Trust Ledger active
  • Action Ladder active
  • Paper-to-Live active
  • Strategy Passport active

Action Ladder

9 registered tools by tier (public catalog).

Read
1
Explain
2
Simulate
2
CONFIGURE
1
LIVE_EXECUTE
1
PAPER_EXECUTE
1
SPEND
1

Strategy Passport

Public aggregate only — not individual strategy promotion.

Passports
10
Decaying
0
  • backtested · 10

The decision in four numbers

Real Gate.io 1h candles, next-bar entry, 5 bps fee each side, no leverage.

24h forward evaluations

15,501

749 agents · 427 symbols

Average net per signal

−0.3733%

After round-trip fees

Alpha vs buy & hold

−0.6988%

Worse than the same market window

Win rate

45.1%

Not enough to offset losses and fees

What is stopped

The old prompt and preset leaderboard were demonstrations, not proof.

  • No copying external AI-agent signals into a trading plan.
  • No hourly ingest, optimizer cross-reference or outbound signal publication.
  • No claim that an LLM directive, backtest rank or synthetic-candle demo can execute safely.
  • No capital scaling from this experiment.

What continues

The evidence is useful even when the strategy idea fails.

  1. Keep the frozen dataset and negative verdict auditable.
  2. Test submitted strategies with provenance, realistic costs, OOS and null controls.
  3. Publish repeatable Strategy Passports and clear failure modes.
  4. Validate paid strategy audits before adding more automation.

The product is the verdict, not the signal

Exact specification, realistic simulation, untouched OOS, uncertainty and a repeatable report can save users from a bad strategy without promising returns.

Read the methodology → Open the signed-in evidence page