How AZPC Market Analysis Works
AZPC is designed around a simple idea: one Auction House price is not enough context. The platform stores price observations over time and uses that history to give players a clearer view of recent market behavior.
1. Market observations
AZPC records supported Auction House price observations from its configured market-data sources and from eligible player-contributed scans. Those observations are stored by realm, faction, item, and time.
2. Persistent price history
Instead of replacing the previous value every time a price changes, AZPC keeps historical observations. That history powers the Price Checker chart, Market Movers, and other market-analysis features.
3. Outlier protection
Very large one-snapshot spikes or undercuts can misrepresent a market. AZPC applies outlier and neighboring-snapshot checks in several calculations so isolated prices are less likely to be promoted as trustworthy market moves.
4. Suggested buy and sell ranges
Suggested prices are calculated from observed price distributions within the selected timeframe. AZPC uses weighted historical price bands and also accounts for the Auction House cut and minimum profit/return requirements before qualifying a spread.
5. Evidence and confidence
When there are too few observations—or when a large apparent spread lacks supporting snapshots—AZPC can mark guidance as provisional or decline to qualify it. The goal is to show the strength of the evidence rather than pretending thin data is certain.
6. Private trading data
When a user chooses to connect the AZPC companion tools, private transaction records can power My Trading features such as open positions, realized profit and loss, and portfolio value. Private trading pages are account-gated and are not intended as public search content.
7. Listings and completed sales answer different questions
A visible listing shows what a seller is asking at a moment in time. It does not prove that a buyer paid that amount. AZPC labels and explains these concepts separately because listing history is useful for understanding available competition, while settled transaction data is needed to establish an actual completed sale.
8. Timeframes change the interpretation
Short timeframes react quickly to current conditions but can be distorted by temporary supply gaps. Longer timeframes provide more observations and a broader reference range, but older prices may describe a market that has already changed. The selected timeframe should match the decision being made.
9. Limitations and responsible use
AZPC cannot observe every buyer's intent, guarantee that every listing snapshot is complete, or predict future demand. Data interruptions, thin markets, sudden player activity, and rapidly changing supply can reduce confidence. The site is designed to expose uncertainty instead of turning limited evidence into a promise of profit.