Asset Outperformer Engine (AOE)

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

• 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.
• DOGE — Meme/retail benchmark. Helps identify assets outperforming the speculative segment.

Switch between benchmarks to see different relative strength profiles. An asset that outperforms BTC but not SOL may be strong in absolute terms but lagging the highest-momentum segment.

---

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.

---

Saved Templates

Save your favorite filter configurations for quick recall. Templates store your selected benchmark, sort order, phase filter, and minimum score thresholds. This allows you to quickly switch between different analysis views without reconfiguring filters each time.

---

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.