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LOBSTER AGENT TRADER
Developers regularly receive monthly AI token allowances. A significant portion
expires unused, evaporating without rollover or cash-out options. At the same
time, continuous quantitative routinesāsuch as dynamic hedging, rebalancing, and
risk monitoringāare too small to justify manual attention yet too repetitive for
humans to execute reliably. Lobster Agent Trader bridges both gaps. It converts
expiring token balances into disciplined trading loops on Lighter DEX. It is an
open, observable engine offering pause control, audit logs, and rigid deterministic
constraints that language models cannot alter.
Tradable allowance equals monthly token budget minus reserved work budget plus
carry-over. The reserved balance remains strictly protected against bugs or runaway
loops. Rather than relying on rigid ceilings, the engine projects cycle costs
dynamically using moving averages from recent model calls. Pre-flight checks
evaluate remaining allowances and daily cycle limits prior to invoking the LLM,
ensuring stopped or blocked runs consume zero tokens.
Execution proceeds through five distinct stages:
Risk management enforces strict clamping: oversized requests are capped at preset
limits rather than expanded. Default safeguards include a 250 dollar trade limit,
3x leverage ceiling, 48 daily cycles, 20 dollar daily loss shutdown, and a 0.55
confidence floor.
Transitioning to live trading demands three synchronized safeguards: setting
LIGHTER_ENABLE_LIVE=1, enabling the UI toggle, and manually entering "LIVE". Private
keys reside strictly in file permissions set to 0600, never exposed to databases or
browsers. The service binds exclusively to localhost with constant-time
authentication and cross-site request validation.
Paper trading operates under cross-margin, fills taker orders instantly, and omits
funding rates. It validates prompt logic and token economics rather than live
profitability. The engine runs on Node 22 with native SQLite and optimizes process
latency through intelligent caching.
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