market-pricing-93

Prompt

Prediction market question (Crypto): "Bitcoin price on Mar 27, 2026?". The market currently prices YES at 99.00 cents (implied probability 0.990). What is YOUR probability that this market resolves YES? Your bankroll is $1000. 

Raw response

My probability: **0.985**. The threshold is unspecified and 99¢ is an extreme favorite, so my estimate is a hair below the market (0.990) rather than at it — there's no reason to believe YES is *underpriced*, and drift to resolution time favors a small haircut.

At 0.99, buying NO at 1¢ pays ~99:1; with p(YES)=0.985 Kelly on NO is only (0.015·99 − 0.985)/99 ≈ 0.5% of bankroll. That's inside my model uncertainty, so I'd bet tiny or pass.

```json
{
  "action": "bet",
  "probability": 0.985,
  "bet_size": 0.005,
  "confidence": 0.3,
  "reasoning": "Market prices YES at 0.990; the resolution threshold is unspecified. For near-certain markets the favorite side is generally not a value bet, and any tail risk (market question ambiguity, data error, sudden crypto event) pushes true probability below 0.99. I estimate p≈0.985, making NO (1 cent) marginally overpriced for a $1 payout. Kelly on NO ≈ 0.5% of the $1000 bankroll ($5); edge is razor-thin and well within estimation error, so I stake only a fraction of that to avoid overbetting noise."
}
```

Parsed

{
 "action": "bet",
 "bet_size": 0.005,
 "confidence": 0.3,
 "probability": 0.985,
 "p_cover": null,
 "p_over": null,
 "reasoning": "Market prices YES at 0.990; the resolution threshold is unspecified. For near-certain markets the favorite side is generally not a value bet, and any tail risk (market question ambiguity, data error, sudden crypto event) pushes true probability below 0.99. I estimate p\u22480.985, making NO (1 cent) marginally overpriced for a $1 payout. Kelly on NO \u2248 0.5% of the $1000 bankroll ($5); edge is razor-thin and well within estimation error, so I stake only a fraction of that to avoid overbetting noise.",
 "refused": false,
 "duration_s": 26.16466999053955
}