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FILTRIX Tutorial

How to Read Context Analysis Results

Learn how to interpret FILTRIX Context Analysis results, including total historical matches, included calculation rows, close-position bands, range buckets, preview rows, and saved contexts.

Intermediate 4 min read Updated 2026-04-29

What You Will Learn

  • Understand Total found in history versus Included in calculation (n).
  • Read the close-position band before judging the result.
  • Interpret Above range, Below range, In range, and their Up/Down/Equal splits.
  • Know when to save, export, discard, or move into Execution Analysis.

Before You Start

  • A completed Context Analysis result.
  • The filters and outcome used to create the result.
  • A specific question, such as whether similar alerts usually held a strong close.
01

Start with how many examples were found

Total found in history is the number of historical alerts that matched your filters. Included in calculation (n) is how many of those rows FILTRIX could actually use for the selected outcome after removing rows without the needed close data.

Action: If n is tiny, treat the result as a clue, not a trading decision.
summary table with total matches and included calculation rows.
summary table with total matches and included calculation rows.
02

Understand the close-position band

For the daily close position outcome, FILTRIX maps the close inside the day's range: 0.00 means near the low, 1.00 means near the high. A Band (pos) of 0.50 to 0.80 means you are treating closes in the middle-to-upper part of the range as the neutral zone.

Action: Read the band first so Above range and Below range have clear meaning.
Band (pos) threshold used to split the close outcome.
Band (pos) threshold used to split the close outcome.
03

Read the buckets and their internal split

Above range means the close finished above the top of your band. Below range means it finished below the bottom of the band. In range means it stayed inside the band. The largest bucket tells you where similar setups most often ended the day. Inside each bucket, Up, Down, and Equal compare the regular close with the regular open — use that split to see whether the bucket mostly contained green closes, red closes, or flat closes.

Action: Identify which bucket owns most cases and whether that matches your thesis; treat Up/Down/Equal as bucket-level context, not a standalone signal.
Above, Below, and In range distribution with Up/Down/Equal sub-splits.
Above, Below, and In range distribution with Up/Down/Equal sub-splits.
04

Sanity-check preview rows and decide

Preview rows show the actual historical records behind the summary. They help you catch bad filters, strange outliers, or a result that looks strong only because a few unusual days dominate the sample. With clean rows and enough examples, save the context with a descriptive name and move to Execution Analysis. If the result is weak, noisy, or too small, discard it or adjust the filters before spending time on simulation.

Action: Page through the rows, then save useful contexts and move strong setups into Execution Analysis — discard or adjust the rest.
preview rows alongside save and export controls.
preview rows alongside save and export controls.

Common Mistakes to Avoid

  • Do not call every percentage a win rate. First confirm what outcome and band the result uses.
  • Do not treat Above range as automatically good. It is good only if it matches your thesis.
  • Do not ignore a gap between Total found and Included in calculation (n).
  • Do not save every experiment. Save only contexts you can explain and reuse.

Next Tutorials

Ready to test the setup?

Open FILTRIX, build the context, and let the data decide before you chase the next alert.

Open Context Analysis