How to Read Kunkafa Forecast Results and Accuracy

Kunkafa simplifies markets by showing possible moves in both directions, across different durations, with Kunkafa’s confidence attached to each level. The results page lets you look back at what happened. To read it well, start with the question each column answers rather than the biggest percentage.

Open Kunkafa's forecast performance results alongside this guide. The figures update, so the examples below use invented round numbers instead of reproducing a result that may be different when you read it. The definitions follow Kunkafa's published methodology as checked on 7 September 2026.

Start with what Kunkafa forecast

A forecast describes four things: how far a price could move, which direction, how long it has, and Kunkafa’s confidence in reaching the level. Kunkafa draws on seventy experts and shows both directions. Those details matter when looking back: a level reached after the forecast's duration has ended does not answer the original question.

Imagine a hypothetical market starting at 100, with an upward level at 103 over ten days. If it reaches 103 on day four and closes at 99 on day ten, it reached the level but did not finish in the upward direction. If it closes at 102 without ever reaching 103, it finished in the upward direction but did not reach the level. The two columns describe different outcomes.

Read the evaluated count and the selected count together

The window table includes forecasts evaluated and the subset strong enough for the stated filter. Suppose an invented window contains 1,000 evaluated forecasts and 300 meet the threshold. If 240 of those selected forecasts reach their levels, the selected level-reaching rate is 80%: 240 divided by 300. It does not mean 800 of all 1,000 forecasts reached their levels.

That is why Kunkafa shows the count beside the percentage. Read the filter and denominator before interpreting a rate. A high percentage from a narrow subset answers a different question from a percentage across a broader group.

What the forecast strength filter changes

Kunkafa's strength filter narrows which forecasts appear in the selected record. The results page shows how the count and outcome rates change at different thresholds. Raising a threshold can leave fewer forecasts to consider; it is not a promise that the next forecast will succeed.

The public window summary labels its default strength threshold. Keep that setting in view when comparing results. The threshold itself is not the observed success rate, and a table of rates above strength thresholds is not the same thing as a table grouping individual predictions by their displayed probability.

Why both directions remain useful

A market can reach an upward level and a downward level within the same duration. In the hypothetical example, it could visit 103, fall to 97 and finish at 101. Kunkafa keeps both directions visible so you can consider the range of scenarios rather than treat one path as certain.

For an illustrated explanation, read Kunkafa's guide to price-touch probability versus trading profit. A price touching a target does not tell you whether an actual order filled, whether a stop was reached first, or what fees a trader paid.

Compare time windows carefully

Use the update date and named window together. A daily result describes a different collection from a longer-window result. The windows can overlap, so adding their counts does not produce a new count of unique forecasts. A forecast still running has not yet supplied its final outcome.

Before comparing two snapshots, check that the filter, window and outcome definition match. A change in one headline percentage by itself does not explain whether the difference came from the mix of markets, durations or selected forecasts.

Use the record with the forecast

A practical reading sequence is to choose your market and duration, inspect the upside and downside levels, then open the record and check its definitions and selected sample. Write down what would count as reaching the level and when the duration ends. This keeps the probability connected to the question you are asking.

Kunkafa's market forecasting methodology explains the terms in more detail. You can explore Kunkafa's market forecast demo to see how the information is presented. Probability, not prophecy: the record provides context for possible outcomes, and past results do not promise future ones.