Initial-Commit

docs/EXPERT_ANALITICS_PRIORITY.md

@@ -0,0 +1,38 @@
+```mermaid
+graph TD
+    A[Add bid_history table] --> B[Add watch_count + estimates]
+    B --> C[Create market_indices]
+    C --> D[Add condition + year fields]
+    D --> E[Build comparable matching]
+    E --> F[Enrich with auction house data]
+    F --> G[Add AI image analysis]
+```
+
+| Current Practice      | New Requirement                 | Why                       |
+|-----------------------|---------------------------------|---------------------------|
+| Scrape once per hour  | **Scrape every bid update**     | Capture velocity & timing |
+| Save only current bid | **Save full bid history**       | Detect patterns & sniping |
+| Ignore watchers       | **Track watch\_count**          | Predict competition       |
+| Skip auction metadata | **Capture house estimates**     | Anchor valuations         |
+| No historical data    | **Store sold prices**           | Train prediction models   |
+| Basic text scraping   | **Parse condition/serial/year** | Enable comparables        |
+
+
+```bazaar
+Week 1-2: Foundation
+Implement bid_history scraping (most critical)
+Add watch_count, starting_bid, estimated_min/max fields
+Calculate basic bid_velocity
+Week 3-4: Valuation
+Extract year_manufactured, manufacturer, condition_description
+Create market_indices (manually or via external API)
+Build comparable lot matching logic
+Week 5-6: Intelligence Layer
+Add auction house performance tracking
+Implement undervaluation detection algorithm
+Create price alert system
+Week 7-8: Automation
+Integrate image analysis API
+Add economic indicator tracking
+Refine ML-based price predictions
+```