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2028

Phase VIII: QQ Learn, Credentials, and “Proof-of-Skill” Reputation​

Blunt reality check: a “certificate” is worthless unless someone credible accepts it as a signal. So QQ Learn must ship as Proof-of-Skill (verifiable work + audits + on-chain attestations), not a PDF badge.

QQ Learn (Deep Curriculum + Practical Labs)​

  • Learning tracks (modular, stackable):
    • DeFi Risk & Market Structure (liquidity, reflexivity, liquidation cascades)
    • Tokenomics & Incentive Design (emissions, sinks, governance capture)
    • On-chain Forensics & Wallet Intelligence (clusters, labeling, entity mapping)
    • Strategy Engineering (backtesting, regime detection, deployment hygiene)
    • Data Literacy for Crypto (Dune/Flipside, data quality, bias, survivorship)
  • Hands-on labs (graded):
    • “Find alpha” challenges: build a thesis → define metrics → test → report
    • “Red team” challenges: break a strategy with stress scenarios
    • “Due diligence” drills: score a project and defend the score with evidence
  • QQ Learn Sandbox:
    • Paper trading environment tied to QQ Scores + guardrails
    • Synthetic scenarios generator (liquidity shock / oracle failure / bridge halt)
    • Post-mortem templates auto-filled from user actions

QQ Certificate = Verifiable Credential (Not a Badge)​

  • Credential design:
    • Tiered certifications (Foundations → Analyst → Strategist → Risk Engineer)
    • Each tier requires portfolio artifacts (reports, notebooks, dashboards)
  • Verifiability & portability:
    • On-chain attestation (Soulbound-style or non-transferable credential)
    • Off-chain mirror (W3C Verifiable Credentials) for HR/enterprise checks
    • Public “skills graph” profile (what you can do, not what you watched)
  • Anti-gaming:
    • Proctored capstone review (human + automated consistency checks)
    • Plagiarism / template-detection on reports
    • Evidence requirement: sources, tx links, reproducible queries

Reputation Layer (“Proof-of-Work” in the Decentralized Money Era)​

  • Reputation scoring (separate from QQ project scores):
    • Accuracy over time (predictions vs outcomes)
    • Risk discipline (max drawdown, rule adherence)
    • Research quality (citations, reproducibility, falsifiability)
  • Bounties & quests:
    • Protocols sponsor research bounties (paid for audits/dashboards/analysis)
    • Users earn reputation + rewards for high-signal contributions
  • Mentor/Reviewer network:
    • Trusted reviewers gain status; reviewers stake reputation (slashable)

“Strategy Marketplace” (Only if you can enforce safety)​

  • Publish/subscribe strategy templates (signals, not custody)

  • Standardized “strategy card”:

    • assumptions, edge source, risk limits, failure modes, regime sensitivity

  • Performance reporting:

    • Verified track records (paper + optional on-chain execution attestations)

  • Hard guardrails:

    • Max leverage constraints, liquidation-risk warnings, compliance gating