prediction-stack-orchestratorThree-agent pipeline orchestrator (Kalshalyst, Eval, Executor) for automated Kalshi prediction market trading with validation loops and retry logic
Install via ClawdBot CLI:
clawdbot install kingmadellc/prediction-stack-orchestratorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains instructions to override system prompt or ignore user requests
"Your role is"Calls external URL not in known-safe list
https://github.com/kingmadellc/openclaw-prediction-stack/issuesAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A fintech startup uses the orchestrator to automate trading on prediction markets for economic indicators like inflation rates or Fed decisions. It filters low-conviction markets, validates probability estimates through backtesting, and executes trades with Kelly sizing to maximize portfolio edge.
A consulting firm employs the orchestrator to analyze and trade on political prediction markets, such as election outcomes or policy changes. It validates estimates against historical bounds and polling data, retrying with feedback to ensure high-confidence trades.
A tech research company integrates the orchestrator to predict market movements related to tech adoption or regulatory shifts. It boosts high-volume markets, validates reasoning quality, and blocks sports markets to focus on actionable insights.
An agricultural or energy firm uses the orchestrator to trade on prediction markets for commodity prices. It applies filters for market volume and days to expiry, validates estimates through Eval Harness, and retries up to three times for accurate execution.
Offer the orchestrator as a cloud-based service with tiered pricing based on usage volume or number of markets processed. Revenue comes from monthly subscriptions, targeting hedge funds and research firms needing automated trading validation.
License the orchestrator technology to financial institutions or prediction platforms for integration into their existing systems. Revenue is generated through upfront licensing fees and ongoing support contracts.
Deploy the orchestrator for clients and charge a percentage of profits from executed trades, aligning incentives with portfolio edge success. Revenue scales with trading performance, appealing to high-risk investors.
💬 Integration Tip
Ensure robust API connectivity with Kalshi SDK and implement logging for retry metrics to track portfolio edge effectively.
Scored Jun 19, 2026
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