Model forecasts

What it shows

A summary of current QWave forecasts for the coins in the basket: P(up), median change and the P10-P90 band for the chosen horizon, with direction hit rate and interval coverage and their settled count below.

How to read it

Start with the P10-P90 band and its width, then check interval coverage with N: if it stays around 80%, the band can be trusted as a measure of uncertainty. Read P(up) carefully, because over short horizons it usually sits close to 50%.

Parameters

Horizon (1 day, 7 days, 30 days)
How far ahead the forecast reaches. Each horizon has its own forecast, settlement date and statistics, so 1 day and 30 days can look different without contradiction.
P(up)
The share of simulated paths that end the horizon above today's price. 50% is a coin flip; over a few days the value almost always sits near 50%, and that is the honest answer, not a fault.
Neutral reading: From 45% to 55%: the model sees no edge on either side.
Median (P50)
The middle price from the simulation: half of the paths end lower, half higher. A median close to today's price is a normal result.
80% forecast interval (P10-P90)
The price band at the end of the horizon: in 80 cases out of 100 the price should land inside, 10 fall below and 10 above. A wide band means high uncertainty. This is the most important number on the card.
Direction hit rate (N)
How often the side indicated by P(up) matched the real price change. N is the number of settled forecasts. Below the minimum sample we write “too little data” instead of a percentage.
Negative reading: A result around 50% is normal for direction over a few days. The model is judged mainly by interval coverage.
80% interval coverage (N)
How often the real price actually landed inside the P10-P90 band. An honest model scores about 80% here: clearly less means the band is too narrow, clearly more that it is too wide.
Positive reading: From 75% to 85%: the band tells the truth about uncertainty.
Historical test or live results
Until there are enough settled live forecasts, the statistics come from the historical test: forecasts for past days computed only from data available before each day. The two sources are never mixed, and the label always says which one you see.

Where in the app

All methods