polymarket-macro-inflation-chain-traderThree-step macro chain reaction trader for Polymarket. Chains commodity pressure (oil, WTI, crude) through inflation and rate expectations (Fed, FOMC) to equ...
Install via ClawdBot CLI:
clawdbot install diagnostikon/polymarket-macro-inflation-chain-traderGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://pypi.org/project/simmer-sdk/Audited Apr 17, 2026 · audit v1.0
Generated May 12, 2026
An advanced trader monitors commodity price surges (oil, copper) via Polymarket markets. When commodities spike but equity threshold markets (S&P, Nasdaq) remain optimistic, the agent sells NO on equity markets expecting a correction. This capitalizes on the lag between commodity-driven inflation and equity repricing.
During a commodity crash (commodity_pressure < 0.30), equities often overreact with pessimism (equity_optimism < 0.40). The agent buys YES on equity-above-threshold markets, betting on a rebound once the macro chain stabilizes. This exploits panic-driven mispricing.
A macro fund uses the chain to automatically trade equity markets based on Fed inflation signals. By chaining rate-hawkish probabilities with equity sentiment, the fund hedges its equity exposure when commodities rise, reducing portfolio risk without manual intervention.
An analyst replaces generic commodity pressure with a real-time CPI nowcast or Fed funds futures implied rates. The agent then trades equity thresholds calibrated to the latest inflation data, enabling a data-driven macro strategy without coding the plumbing.
A market maker on Polymarket uses the chain to identify inefficiencies between commodity and equity markets. By providing liquidity on equity threshold markets during divergence signals, they capture spread profits while the chain rebalances.
Deploy the agent as a fully automated trading vehicle that operates 24/7 on Polymarket. It executes macro divergence trades without human emotion, targeting consistent returns from mispricings in prediction markets.
Offer the skill as a SaaS subscription where retail traders or small funds pay a monthly fee to run their own customized version (e.g., with different commodity or equity keywords). Customization and support generate recurring revenue.
Sell aggregated insights and signals from the macro chain to institutional investors or crypto funds. The agent's real-time divergence scores and market categorizations become a valuable data feed for portfolio decisions, separate from actual trading.
💬 Integration Tip
Ensure the SIMMER_API_KEY is securely stored as an environment variable and that all tunables (e.g., MAX_POSITION, MIN_TRADE) are reviewed before live trading. For production, consider configuring a cron schedule in the Simmer UI and testing with paper trading for at least one full macro cycle.
Scored May 12, 2026
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