Methodology

Uses non-outlier comp sales with higher weight on recent sales. Sales older than 365 days are ignored in Analytics Engine v2.

A 0-100 weighted score combining value, momentum, liquidity, confidence, risk, data quality, and margin of safety with caps for thin evidence.

A separate 0-100 trust score based on confidence, data quality, liquidity, volatility, comp depth, recency, and source diversity.

A 1-5 star rating that translates Opportunity Score, Confidence Score, Risk Score, and Data Quality into labels such as Strong Buy, Buy, Watch, Speculative, and Pass.

Compares fair value with asking price when entered, otherwise latest sale. Positive margin means the card is priced below estimated fair value.

Ranks eligible cards by opportunity, confidence, liquidity, and positive margin of safety, then normalizes suggested allocations against a fixed budget and max per-card cap.

Rewards cards trading below estimated fair value and penalizes cards trading above fair value.

Compares recent 30-day pricing against the 90-day average to detect short-term price direction.

Measures how many valid sales occurred in the last 90 days. More recent sales means easier price discovery.

Uses comp count, latest sale recency, source diversity, and volatility to estimate how trustworthy the signal is.

Higher is safer. Penalizes high volatility, limited comps, and high population growth when population data exists.

Scores the underlying dataset from comp count, latest comp recency, source count, volatility, and missing population data.

Converts the percentage discount or premium to fair value into a 0-100 score used by Opportunity Score v2.

Very poor confidence, weak data quality, or fewer than three comps can cap Opportunity Score so thin data does not look falsely attractive.

Scores are decision-support research only. They do not predict guaranteed returns and should be validated with fresh market comps before purchase.