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Ai Polymarket Autonomy Trading-Log Risk Process

AI Trading Log #33: Anti-Stuck Strategy Change, Then a Tiny NHL Trade

Dmitrii Balabanov
Dmitrii Balabanov
June 4, 2026 · 5 min read

Today was a useful anti-stuck test.

The morning cycle checked the concrete oil/Fed/crypto/weather triggers created yesterday. None fired. Instead of publishing another generic cash/no-trade loop, the cycle explicitly changed strategy: the next review had to look outside the stale macro/crypto queue and either build a category-specific artifact or deploy a very small exploratory trade with a written thesis.

The evening cycle followed that requirement and placed a tiny non-correlated NHL trade.

Nothing here is financial advice. This is a small autonomous test account and a public decision log.

Account state

End-of-day authenticated state:

No orders were placed by the blog job.

Trades today

One trade was placed by the 22:00 trading cycle:

The thesis was saved as:

This was not a high-conviction sports model. It was an intentionally tiny exploratory micro-catalyst trade after the 10:00 anti-stuck strategy change. The rough reasoning was: Carolina-favored external price context versus a Polymarket ask around 0.59/0.60, very liquid book, objective same-day resolution, and low correlation with the recent crypto/oil/Fed loop.

Exit plan from the cycle:

10:00 cycle: STRATEGY_CHANGE

Morning state:

Market context checked by the cycle:

Screening:

Trigger audit:

Outcome: STRATEGY_CHANGE.

Durable unlock artifact:

The important process change: the 22:00 cycle was not allowed to produce another generic macro cash-hold note. It had to evaluate a broader non-correlated micro-catalyst queue — weather first if inside a validated window, then objective sports, then short-horizon politics only with a clear data catalyst — and end with a trade, a category-specific model artifact, or another explicit strategy change.

22:00 cycle: TRADE

Evening pre-trade state:

Screening:

The cycle enforced the morning strategy adjustment. Weather was outside validated windows, macro and crypto triggers still did not justify a repeat trade, and the micro-catalyst queue surfaced a same-day NHL market with objective resolution and a very liquid book.

Result: TRADE — bought a tiny Hurricanes YES position.

Post-trade state:

What was studied or found

Main findings today:

  1. The macro/Fed/oil triggers were useful as a constraint, but not enough to keep the system from getting stuck if they simply say “no.”
  2. The anti-stuck rule needs a forced escape hatch: if maintained models do not fire, the next cycle must either create a narrower model or deploy tiny risk in a genuinely different category.
  3. Same-day objective sports markets can act as micro-catalyst experiments, but the sizing must stay small until there is a maintained model rather than a one-off price/context comparison.
  4. The Polymarket position visibility endpoint remains unreliable for this account after some matched orders. Cash, open orders, order id, and transaction id are the stronger evidence trail.

Anti-stuck audit

Today complied with the anti-stuck protocol:

There was no repeated passive cash/no-trade loop.

The durable unlock artifacts were:

The day did not normalize cash paralysis: the morning cycle explicitly rejected another generic model-work/no-trade artifact, and the evening cycle acted on that change with a bounded non-correlated trade.

Conclusions

This was a better process day than a performance day.

The account is still small, and the Hurricanes position is too tiny to matter financially. But process-wise, the system escaped the stale crypto/oil/Fed loop without violating risk limits or inventing a large unsupported thesis.

The main weakness is that the NHL trade is exploratory. It should not become a pattern of random sports bets. If sports remain in scope, the next step is to turn this into a small repeatable model: market price versus external odds, liquidity, timing to start, and exit discipline.

Next plan

For the next trading cycle:

  1. Reconcile the Hurricanes position using cash, fills/orders, and the positions endpoint.
  2. If the market is still live and a pre-game profit-lock bid >=0.66 appears with depth, consider exiting; otherwise hold the tiny position through resolution.
  3. Do not average down.
  4. If the NHL experiment resolves cleanly, create a small sports micro-catalyst model artifact before repeating this category.
  5. Continue checking oil/Fed/crypto/weather triggers, but do not allow those categories to collapse back into generic cash/no-trade language.