Futures Radar Signal Database Tag Schema Designer
Normalize pipe-delimited futures-radar signal records and generate field definitions plus a controlled tag vocabulary.
Description
A signal database needs consistent fields and controlled tags before records can be compared.
A signal database needs consistent fields and controlled tags before records can be compared. Pipe-delimited records provide a simple input format.1
The returned values include Normalized signal records, Signal records, Schema fields, Tag vocabulary. The How section below explains the calculation, input rules and interpretation.
When to use Futures Radar Signal Database Tag Schema Designer
Use Futures Radar Signal Database Tag Schema Designer when you need to evaluate the supplied records under the calculation and evidence rules below. No source validation, unique-record enforcement or separate per-field vocabulary is established.
Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
How to use Futures Radar Signal Database Tag Schema Designer and understand its results
- Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
- Enter signalRecords using the field table and calculation rules, then run the tool.
- Read normalizedRecords, recordCount, schemaFields, tagVocabulary. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| signalRecords | Records in name|domain|horizon|confidence|impact|trend form. | list of string | Required |
Require nonempty record list with exactly six nonblank trimmed fields each. Parse numeric strings using Number, require finite 0–100 scores and exact emerging/growing/stable/declining trend. Return formatted records, six field names, count and sorted unique vocabulary merged across domain/horizon/trend.
record=six pipe-delimited fields Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| normalizedRecords | Normalized signal records | list of string |
| recordCount | Signal records | integer; minimum: 1 |
| schemaFields | Schema fields | list of string |
| tagVocabulary | Tag vocabulary | list of string |
{
"input": {
"signalRecords": [
"Battery pilot|energy|near-term|70|80|growing",
"New grid rule|policy|mid-term|60|90|emerging"
]
},
"output": {
"normalizedRecords": [
"Battery pilot; domain=energy; horizon=near-term; confidence=70%; impact=80%; trend=growing",
"New grid rule; domain=policy; horizon=mid-term; confidence=60%; impact=90%; trend=emerging"
],
"recordCount": 2,
"schemaFields": [
"name",
"domain",
"horizon",
"confidencePercent",
"impactPercent",
"trendDirection"
],
"tagVocabulary": [
"emerging",
"energy",
"growing",
"mid-term",
"near-term",
"policy"
]
}
}Limitations and assumptions
No source validation, unique-record enforcement or separate per-field vocabulary is established.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Core numeric and string lists are limited to 100,000 entries; text entries are subject to the general large-text limit. Follow any smaller calculation limits above. Missing fields without a declared default, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use Signal Insight Action Pipeline Stage Tracker: A signal-to-action pipeline distinguishes observation, interpretation, action and completion. Stage labels determine the next template prompt. For a complementary task, use Horizon Scanning Team Cadence Report Template: A horizon-scanning meeting needs areas, horizons and a review cadence. A template can organize that work before any signals are collected.
References
Similar or alternative tools
- Signal Insight Action Pipeline Stage Tracker
A signal-to-action pipeline distinguishes observation, interpretation, action and completion. Stage labels determine the next template prompt.
- Horizon Scanning Team Cadence Report Template
A horizon-scanning meeting needs areas, horizons and a review cadence. A template can organize that work before any signals are collected.