Overview
The Asset Outperformer Engine identifies assets that outperform key benchmarks across multiple timeframes. It uses a composite scoring system to rank 500+ assets by their relative strength.
Composite Score
The composite score is a weighted average of performance across 6 timeframes (24h, 7d, 30d, 90d, 180d, 365d), normalized to a 0–100 scale. A higher score indicates stronger and more consistent outperformance relative to the selected benchmark. The weighting ensures that longer timeframes carry more significance, rewarding sustained outperformance over short-term spikes.
Timeframes
- 24h: Intraday momentum. Captures very short-term relative strength shifts.
- 7d: Weekly trend. Shows whether the asset is gaining ground over the past week.
- 30d: Monthly trend. Indicates medium-term directional bias.
- 90d: Quarterly performance. Filters out noise and highlights sustained movers.
- 180d: Semi-annual. Strong signal for assets in structural uptrends.
- 365d: Annual. The highest-conviction timeframe for long-term outperformance.
Each timeframe measures the percentage outperformance versus the selected benchmark.
Benchmarks
Every asset is measured against a benchmark basket you can customise. The default basket is:
- BTC: The crypto standard. Most commonly used to gauge whether an altcoin is worth holding over Bitcoin.
- ETH: Altcoin benchmark. Useful for comparing mid-cap and DeFi assets.
- SOL: High-beta reference. Good for evaluating whether an asset outperforms a high-growth L1.
- Gold (XAU/USD): Hard-asset reference. Shows whether an asset is beating the classic store of value.
- S&P 500 (SPY): Equity reference. Shows whether an asset is beating the broad US stock market.
Use the benchmark set picker to switch between presets (default basket, crypto majors, US equities, hard assets, cash) or build your own set from any benchmark or universe asset, with weights, the windows that count, and either a weighted basket or a must-beat-every-member rule. Signed-in users can save sets and mark one as their default. #Out counts the basket members times the 1D, 7D and 30D windows the asset is ahead on, and Score, Avg Out and Phase are recomputed against the active set.
Phase Detection
- Strong Momentum (Phase C): Consistent outperformance across all timeframes. The asset is in a confirmed uptrend relative to the benchmark.
- Uptrend (Phase B): Positive momentum building. Most timeframes show outperformance, with strength increasing.
- Early Move (Phase A): Initial signs of outperformance. Short-term timeframes are turning positive while longer-term may still be neutral.
- Accumulation: Building a base before a move. The asset is consolidating relative to the benchmark, often preceding a breakout.
- Distribution: Weakening after a strong run. Outperformance is fading, especially in shorter timeframes.
- Neutral: No clear directional bias. The asset is tracking the benchmark without significant deviation.
Save view
Save your favorite filter configurations for quick recall. A saved view stores your benchmark set and the windows that count, sort order, column layout, phase filter and minimum score thresholds, and whether the short book was on. This allows you to quickly switch between different analysis views without reconfiguring filters each time. Saving a view does not sign you up for email alerts - those are a separate opt-in on the same panel.
Tips
- Compare across multiple benchmarks to get a complete picture of relative strength.
- Focus on Phase A and Phase B for early entries before the crowd catches on.
- Use longer timeframes (90d, 180d, 365d) for higher conviction and fewer false signals.
- Check back regularly as scores update continuously throughout the day.
- Combine AOE data with the MMS and AMS for a multi-factor approach to asset selection.