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How QQ Works

How QQ Works

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Data → Specialized AI analysis → Connected scores → A stronger edge for your timeframe.

QQ Omega does not rely on one chart, one metric, or one narrative. It collects evidence across five connected dimensions and turns the full picture into clear scores and rankings for traders and investors.

The QQ Pipeline

01
Collect data
Market, project, token, on-chain, technical, and macro data.
02
Analyze each signal
Specialized AI agents evaluate narrow, clearly defined areas.
03
Build 5 dimension scores
Fundamentals, Tokenomics, On-chain, Technicals, and Macro.
04
Adapt to your timeframe
The dimensions receive different importance across Daily, Weekly, Monthly, and Yearly views.
05
Produce QQ Scores
Clear 0–100 scores, rankings, and explanations that evolve over time.

1. Data collection

QQ Omega collects and organizes both on-chain and off-chain information.

On-chain data includes holder behavior, capital flows, liquidity, token activity, and network usage. Off-chain data includes project documentation, products, teams, token design, security information, market data, news, and macroeconomic context.

Instead of leaving these sources scattered across different platforms, QQ structures them into one consistent analytical system.

2. Specialized AI agents

Data is grouped by dimension and analyzed by specialized swarms of AI agents. Each agent focuses on a narrow area with its own evidence, metrics, and evaluation rules.

Examples include:

  • Fundamentals: team quality, product strength, execution, governance, and security.
  • Tokenomics: utility, emissions, unlocks, buybacks, burns, and sell pressure.
  • On-chain: holder behavior, wallet concentration, capital flows, liquidity, and network activity.
  • Technical Analysis: price structure, momentum, volatility, and supply-and-demand zones.
  • Macro & Market Regime: liquidity, interest rates, risk appetite, sentiment, and broader market conditions.

This specialization allows QQ to examine each part deeply while keeping the final evaluation consistent across assets.

3. From five dimensions to QQ Scores

Each swarm produces a dimension score based on its own metrics and evaluation rules.

QQ then connects all five dimension scores instead of treating them as isolated signals. The dimensions are combined through structured weights and normalization methods to produce a global QQ Score from 0 to 100.

Each crypto asset receives four QQ Scores:

  • Daily for the immediate market setup
  • Weekly for short-term positioning
  • Monthly for medium-term opportunities
  • Yearly for long-term strength

Shorter timeframes give more importance to current On-chain and Technical conditions. Longer timeframes place more weight on Fundamentals and Tokenomics. Macro conditions help define the environment around every timeframe.

The result is not simply a list of good projects. It is a ranking of which assets look strongest for the timeframe that matters to you.

4. Continuous updates

Crypto conditions change constantly. New information can alter one part of the picture without changing everything else.

When relevant data or events appear, such as on-chain movements, token unlocks, product releases, security incidents, partnerships, technical changes, or shifts in market conditions, QQ updates the affected analysis and the scores evolve over time.

This keeps the system responsive while preserving a clear explanation of what changed and why.

Why This Creates an Edge

A strong project can still have weak tokenomics. Positive on-chain flows can appear inside a hostile macro environment. A clean technical setup can hide structural risks. A great long-term asset can still be a poor short-term trade.

QQ creates an edge by connecting these signals before you make the decision.

Instead of asking five separate tools five separate questions, you get one structured view of the asset, one score for your timeframe, and a clear breakdown of what supports or weakens it.