Interpreting probabilistic market forecasts

If The Day Before says SPY has a 62% chance of opening green tomorrow, that number is a frequency statement. Over a large sample of similar setups, we'd expect the market to open green about 62 of every 100 times. It is not a promise about tomorrow specifically.

The correct question is never "is 62% right or wrong?" — the correct question is whether 62-percent claims come in at the 62-percent rate over time. That's what the performance page tracks.

Confidence measures how much the model trusts its own probability. A 62% probability with high confidence means the model has seen the pattern often and its estimate is stable. The same 62% with low confidence means the signal is noisy — treat it as closer to a coin flip than the number suggests.

Low confidence isn't a failure. It's the model refusing to fake certainty when it doesn't have any. Prefer high-confidence, high-probability forecasts and be skeptical of low-confidence extremes.

A signal service tells you what to do. A probability distribution tells you what's likely, and hands the decision back to you. Position sizing, risk tolerance, holding period, and what already sits in your portfolio all belong to you — not the forecast.

The Trades to Consider section translates the model's highest-conviction ideas into concrete plans — buy price, take-profit, cut-losses — but every one is still probabilistic. A trade with a "70% chance this works" fails three times in ten by construction, and that is the correct outcome, not a broken forecast.

1. Read the day's headline forecast — the direction, the probability, and the confidence together.
2. Check Opening Bell to see how the model expects individual assets to move.
3. Skim the drivers and calendar so you understand why the model believes what it does.
4. Weight what you do by confidence, not probability alone.
5. Compare against the calibration record before trusting any single day's numbers.