Crypto Token Performance Signals

A practical signal lens for swing-style decisions across trend quality, momentum confirmation, setup risk, and relative strength.

TL;DR

The Performance Lens helps answer one practical question: "Does this token currently show healthy conditions for a swing trade?" It converts market structure, momentum, setup quality, and benchmark-relative performance into a clear score and decision label, while lowering confidence when data quality is weak.

How to use it (Web UI)

The Performance Lens workflow is straightforward: choose a token, run analysis, and review the setup top-down.

Open dApp →

1) Pick a token

Search or paste a contract address and select the chain/network.

2) Run the analysis

Generate a report. The lens gathers best-effort market inputs and computes signal KPIs across multiple time windows.

3) Share or revisit

Each run generates a shareable link so you can track how the setup changes over time.

4) Read the report top-down

  • Summary: Plain-English interpretation of current setup quality.
  • Pillar Scores: Trend, momentum, entry/risk, and relative strength.
  • Tradeability Context: Liquidity, turnover, and volatility quality.
  • Decision Label: strong_buy / buy_hold / neutral_watch / consider_sell.

What the Performance Lens does (high level)

The lens translates noisy market activity into a structured, repeatable signal that is easier to compare across tokens.

1) Data ingestion (market + benchmark context)

We combine token market data with benchmark context from BTC, ETH, and narrative peers when available.

2) Four-pillar deterministic scoring

Trend Quality (35%)
Direction and structure health.
Momentum & Volume (25%)
Move confirmation and participation strength.
Entry Timing & Risk (25%)
Pullback quality, volatility, and reward/risk context.
Relative Strength (15%)
Outperformance or underperformance versus majors and peers.

3) Missing-data and low-liquidity behavior

When a pillar has missing inputs, weights are redistributed across available pillars instead of failing the report. Confidence is lowered when key inputs are absent or market liquidity is too thin.

4) Decision labels for faster interpretation

The final score maps to one of four labels: strong_buy, buy_hold, neutral_watch, or consider_sell. Labels summarize signal state; they do not guarantee outcomes.

Disclaimer

The Performance Lens uses best-effort data retrieval and automated analysis. Data may be incomplete or delayed, and interpretations can be wrong. This is for educational purposes only and is not financial advice.