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EXECUTIVE SUMMARY

The Era of Autonomous Trading

The financial markets are evolving into a battleground of algorithms. BUZZ is the first Agent-Fi Protocol on Solana designed to replace manual retail trading with institutional-grade autonomous swarms.

The Problem: Human Limitations

Why Retail Traders Lose: "The market never sleeps, but humans do. The market has no feelings, but humans panic."

Retail traders face three insurmountable biological disadvantages:

  • Fatigue: No human can monitor 24/7 crypto markets without missing key breakout hours.
  • Emotion: Fear and Greed cause selling at bottoms and buying at tops (FOMO).
  • Latency: By the time a human clicks "Buy", MEV bots and HFT algos have already front-run the liquidity.

The Solution: BUZZ

BUZZ was born to equalize the playing field. We do not build "tools" for traders; we build Digital Proxies that trade for them.

Our architecture combines two powerful forces:

  • Autonomous Agents (The Hands): Non-custodial bots that execute strategies with microsecond precision.
  • Crowdsourced Training (The Brain): A specialized layer where humans label data to make the Agents smarter (Training Yield).

The Autonomous Core

At the heart of BUZZ lies the Multi-Agent System (MAS). Unlike simple bots, our Agents possess cognitive modularity.

  • Sentinel (Risk Guardian): Monitors wallet exposure and executes emergency stops independent of trade logic.
  • Sniper (Execution Engine): Detects liquidity pools block-by-block for optimal entry.
  • Navigator (Trend Analyzer): Processes macro-sentiment from social signals and on-chain volume.

Ecosystem Fuel: Training Layer

To maintain Agent superiority, the network requires constant data refinement. This is where the Training Yield sub-module comes in.

Community members can form "Squads" to label complex market scenarios, earning Yield. This human feedback loop (RLHF) ensures our Agents adapt to novel market conditions faster than competitors.

Liquid Staking & Computing Power

BUZZ introduces a novel Compute-Backed Staking mechanism. Users stake BUZZ tokens to provide the computational "Energy" required by Squads to train AI.

The Cycle of Value: Stakers provide BUZ (Energy) → Trainers consume energy to label data → AI Models improve → Revenue is generated → Stakers earn APR.
  • Liquid Derivatives (stBUZ): Maintain liquidity while your assets power the neural network.
  • Resource Allocation: Vote to direct your staked "Energy" to specific high-performing Squads.

The Model Marketplace

The ultimate destination for Alpha. This is an open bazaar where AI Engineers & Financial Experts mint their best strategies as NFTs.

  • Creators: Upload trained models (weights) and set a subscription fee (in Credits).
  • Investors: Browse performance metrics (Audited On-Chain) and "Rent" the model for their personal Agents.
  • Proof-of-Alpha: Every model listed must pass a 30-day "Shadow Trading" period to verify profitability before going public.

Tokenomics: The Dual Engine

BUZZ operates on a dual-token system to separate Governance from Utility.

1. BUZ (Governance)

Used for voting on model parameters, squad sizes, and revenue distribution ratios.

2. CREDIT (Credit)

A stable-credit unit used to pay for training computations and settle internal marketplace fees.

Roadmap

PHASE 1 — BETA LAUNCH (Q1 2026)

Infrastructure Validation

Validating core trading infrastructure and security layers.

  • Launch Social Trading & AI Sniper execution tools
  • Security and infrastructure validation under live user activity
  • Initial integrations with Solana DEX venues
  • Trial allocation of BUZ for AI testing
PHASE 2 — MAINNET & EXPANSION (Q2-Q3 2026)

AI Training Yield

Mainnet deployment introducing token utilities and "Train-to-Earn".

  • Launch AI Training Yield (Collaborative Train-to-Earn)
  • Launch AI Prompt Engine and AI Agent Trading (Spot & Futures)
  • Execute onboarding programs and ecosystem campaigns
  • Release system performance dashboard for live agent monitoring
PHASE 3 — MARKETPLACE (Q4 2026)

AI Strategy Network

Transitioning into a multi-agent ecosystem with strategy monetization.

  • Launch AI Strategy Marketplace for creator-driven strategies
  • Enable agent backtesting and live performance verification
  • Deploy portfolio analytics and execution intelligence modules
PHASE 4 — INSTITUTIONAL LAYER (2027+)

Autonomous Agent Network

  • Launch multi-chain AI trading agents
  • Deploy advanced portfolio risk engine and predictive modeling
  • Upgrade Agent autonomy to v2 with predictive execution
  • Provide institutional API and white-label automation stack