For Token Projects
AI Market‑Making Strategies
An in-depth guide to the 15+ adaptive market‑making modes available on the FUZE.ac platform. Learn how scenario-based liquidity management maintains token stability and compliance throughout every phase of a project’s lifecycle.
Introduction: From Static to Dynamic Liquidity
Traditional MM bots use fixed parameters—’set and forget’ strategies that can’t adapt to market events. FUZE.ac’s AI MM engine continuously analyzes market signals and automatically switches among specialized modes to handle:
- Launch Day surges
- Vesting unlock cliffs
- Bull/Bear market swings
- Compliance-driven volume quotas
By combining Reinforcement Learning (RL) policies with a library of proven strategies, FUZE.ac ensures optimal depth, tight spreads, and KPI compliance.
Strategy Catalogue
Growth & Launch Modes
- Listing Day: Tight 1% spread, shallow depth to seed organic flow immediately after TGE.
- Volume Boost: Temporarily increase quote size and tighten spreads to meet exchange volume thresholds.
Defensive & Stability Modes
- Pre‑Unlock Defense: Triggered 48h before vesting; widen spreads by 1.5× and pause aggressive sell orders.
- Post‑Unlock Absorption: Staggered buy orders at –1%, –2%, –3% price levels to absorb sell pressure.
- Dump Recovery: On price drops ≥ 10% in 24h, deploy iceberg bids to rebuild buy walls.
- Anti‑Manipulation: Detect spoofing or front‑running patterns; adjust quoting cadence and depth.
Opportunistic & Custom Modes
- BTC Sync: Mirror Bitcoin price movements within ±0.3% to reduce divergence volatility.
- Pump Profit: During uptrends, gradually unwind inventory to realize gains without price collapse.
- Weekend Chill: Scale back quoting in low‑liquidity periods to minimize risk.
- KPI Guard: Automatically switch to Volume Boost or Spread Clamp when KPI thresholds approach.
- Custom Event Modes: User-defined strategies tied to token milestones, announcements, or external oracles.
Architecture & Automation
Event Detection
Integrated listeners parse unlock schedules, exchange warnings, and macro indicators.
RL Decision Engine
A PPO-based agent evaluates L2 imbalance, orderbook depth, volatility forecasts, and KPI variance every 250ms.
Mode Switch Execution
PM2 processes launch the appropriate strategy with sub-50ms latency, ensuring seamless transitions.
Performance & Monitoring
Latency
25–50ms p99 order round-trip under PM2 per-pair isolation.
Spread Compliance
≥ 90% of trading hours within 2% target spread in pilot tests.
Depth Ratio
≥ 90% of hours maintain 5× average retail ticket coverage.
KPI Uptime
99.7% API heartbeat; automated failover on unplanned outages.
Real‑time dashboards display current mode, PnL, spread, depth, and KPI pass/fail logs with Merkle-rooted proof of liquidity.
Getting Started
Select Profile
Choose a pre‑configured strategy bundle or customize modes per stage.
Upload Vesting Schedule
Enable accurate Pre/Post‑Unlock activations.
Define KPIs
Set volume, spread, and price thresholds for compliance guardrails.
Go Live
Activate bots; monitor strategy shifts and performance in the dashboard.
For detailed API calls and configuration parameters, see the API Reference.
FUZE.ac’s AI Market‑Making Strategies empower token projects with automated, data‑driven liquidity management—ensuring resilience, compliance, and growth at every turn.
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