Observed fare trend
Median total fare by real collection date.
Behaviour analysis
Understand how airfare behaves over time
Analyse observed fares, lead-time behaviour, fare components, route movement and airline differences using only real collection dates. No synthetic history is created.
PERIOD
Fare change
--
First available point → last
LATEST
Median observed fare
--
Latest selected collection date
LEAD
T+45 vs T+1
--
Latest selected date
VOLATILITY
Fare CV
--
Selected raw observations
APIx trend
100 = fixed baseline date. Missing calendar dates remain missing.
Lead-time behaviour
Representative fare across T+1 → T+45 on the latest selected date.
Fare composition
Base fare, taxes, UDF and fees over the selected period.
Airline comparison
Median observed total fare within the selected filters.
Behaviour signals
Descriptive patterns from the selected real observations.
Latest route behaviour vs fixed baseline
Route index and component-level change from the same baseline date.
| Route | Latest Fare | Baseline Fare | Route Index | Fare Change | Base Change | Tax Change | Fee Change | Lead Coverage |
|---|
APIx is a fixed-base index. Previous-date change is a separate day-over-day measure.
Weekly and monthly views are aggregations of available collection dates; they do not
imply that scraping occurred on missing dates.