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@quotient-forecasting/strategy-agent

v0.4.16

Published

LLM monitoring-agent strategy for Cassie: prompt-driven market discovery, Quotient enrichment, deterministic quarter-Kelly sizing

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Readme

@quotient-forecasting/strategy-agent

The agent strategy for Cassie. It discovers prediction markets, enriches them with Quotient forecasts, and uses one structured Surplus Intelligence completion to select entries and exits.

The model selects and ranks markets. Cassie's deterministic sizing code converts accepted forecasts into notionals with quarter-Kelly and fixed-fractional limits. Every action then passes through the engine's liquidity, spread, volume, and per-order risk checks.

Configure and inspect the strategy through the CLI:

cassie init
cassie agent dry-run <botId>
cassie agent status <botId>
cassie agent prompt <botId> --set "Focus on commodities markets ending within one week"

The strategy supports Polymarket and Kalshi bots. It requires Quotient credentials and a SURPLUS_API_KEY. The optional persona command adds an X profile as a judgment layer:

cassie agent persona <botId> --handle <x-handle>

Source · Apache-2.0