RamTrend

Methodology

How RamTrend turns listings into RAM market signals.

RamTrend keeps raw marketplace data, normalized RAM attributes, and analytical price outputs as separate layers.

Layer 1

Raw data

Original marketplace responses, request metadata, and news source content are preserved before transformation.

Layer 2

Normalized data

RAM generation, speed, capacity, module count, form factor, condition, and confidence are extracted into comparable fields.

Layer 3

Analytical data

Segment medians, price ranges, deal scores, historical snapshots, and news impact scores are generated from normalized data.

Data license

Public RAM price datasets are published under the RamTrend data license, with eBay marketplace listings currently used as the primary source for RAM price observations.

RAM price FAQ

Frequently asked questions

Why does RamTrend store raw data?

Raw data preserves source truth, makes parser improvements auditable, and prevents analytical changes from erasing the original marketplace or news context.

What listings are filtered before analytics?

The analytics layer excludes low-confidence, irrelevant, damaged, for-parts, mixed-lot, bulk-lot, variation, ambiguous, and stale listings when calculating public price signals.

Why does RamTrend use background workers?

Marketplace sync, normalization, analytics, and news processing are heavy operations and run in Redis-backed workers rather than in the public frontend request path.