Each asset receives a composite score (0-100) from its outperformance versus the benchmark basket: short term (1D and 7D, up to 3 points of 10), medium term (30D, up to 3 points), long term (1Y, up to 2 points) and consistency (the share of benchmark-window checks it wins, up to 2 points). Assets are classified into market phases: Phase A (early recovery), Phase B (confirmed uptrend), Phase C (strong outperformer), Accumulation, or Distribution.
Every asset is compared against a benchmark basket. The default basket is Bitcoin (BTC), Ethereum (ETH), Solana (SOL), gold (XAU/USD) and the S&P 500 (SPY) with equal weights; signed-in users can build their own basket from any benchmark or universe asset, choose which windows count and save it as their default. The #OUT column shows how many benchmark-timeframe combinations (basket members x 1D, 7D and 30D) each asset outperforms.
The AOE runs a full scan every 6 hours, analyzing live performance data across crypto, stocks, ETFs, and commodities. Each scan processes 3,000+ assets across all supported asset types.
Yes. The AOE includes an ML-powered asset classifier that identifies meme coins and stablecoins. By default, both are excluded from results. You can toggle them on/off in the advanced filters panel.