polymarket-optimizerAutomatic parameter optimizer for polymarket-executor. Reads performance_metrics.json every 6 hours, analyzes win rates and P&L per strategy, adjusts learned...
Install via ClawdBot CLI:
clawdbot install georges91560/polymarket-optimizerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/georges91560/polymarket-optimizerUses known external API (expected, informational)
api.telegram.orgAudited Apr 16, 2026 · audit v1.0
Generated Mar 22, 2026
A cryptocurrency trading firm uses this skill to automatically adjust strategy parameters based on performance metrics, improving win rates and profitability without manual intervention. It analyzes data from polymarket-executor every 6 hours to refine thresholds and allocations.
A fintech startup employs this skill to assess when paper trading results are robust enough for live deployment, ensuring readiness based on criteria like trade count and win rate. It automates the evaluation process, reducing risk before going live.
An asset management company integrates this skill to dynamically rebalance capital allocations across trading strategies, optimizing returns based on real-time performance data. It adjusts Kelly fractions and scan frequencies to manage risk.
A trading desk uses this skill to generate automated Telegram reports on strategy performance and optimization adjustments, providing stakeholders with timely insights. It ensures continuous monitoring and transparency in trading operations.
A decentralized finance (DeFi) platform leverages this skill to automatically tighten or loosen trading thresholds based on portfolio health, helping to mitigate losses during market downturns. It adapts parameters to maintain stability.
Offer this optimizer as a cloud-based subscription service for trading firms, providing automated parameter tuning and performance analytics. Revenue is generated through monthly or annual licensing fees based on usage tiers.
Provide custom integration and consulting services to help clients deploy and configure this skill within their existing trading systems. Revenue comes from one-time setup fees and ongoing support contracts.
License this skill as a white-label product for fintech companies to rebrand and incorporate into their own trading platforms. Revenue is generated through upfront licensing fees and royalties based on user adoption.
💬 Integration Tip
Ensure the workspace path is correctly set and input files like performance_metrics.json are accessible; use cron jobs for automated scheduling as outlined in the documentation.
Scored Jun 19, 2026
A股量化数据分析工具,基于AkShare库获取A股行情、财务数据、板块信息等。用于回答关于A股股票查询、行情数据、财务分析、选股等问题。
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