broker-monitorGenerate a weekly monitoring report for US retail brokerage stocks (IBKR, SCHW, HOOD, FUTU) AND the broader trading ecosystem including US equity/options mar...
Install via ClawdBot CLI:
clawdbot install sarahwang94712/broker-monitorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 6, 2026
Automatically generates a comprehensive weekly report covering US retail brokerages (IBKR, SCHW, HOOD, FUTU) and the broader trading ecosystem. It synthesizes data from multiple sources including broker monthly metrics, market-wide trading volumes, crypto market data, exchange market share, and prediction market volumes.
Produces a consolidated view of US equity and options market health, including consolidated tape volume, OCC options volume, 0DTE share, put/call ratio, and VIX. This helps analysts gauge market sentiment and retail participation.
Tracks monthly crypto exchange market share for both spot and derivatives across CEX/DEX, using The Block and CCData. This enables competitive analysis and trend identification in the crypto trading landscape.
Monitors weekly trading volume and user growth on Polymarket and Kalshi via Dune Analytics dashboards. Useful for event-driven trading firms interested in emerging alternative data sources.
Combines equity options sentiment (put/call ratio, 0DTE), crypto fear & greed index, and prediction market volumes into a single sentiment indicator. Helps macro traders assess risk appetite across traditional and alternative markets.
Sell weekly reports to hedge funds, asset managers, and retail trading analysts who need timely broker and ecosystem data. The skill automates data collection and formatting, reducing manual effort.
Offer the aggregated, structured broker and market data as an API feed for quantitative trading firms or data aggregators. Clients can integrate the data into their dashboards or models.
Provide tailored deep-dive reports or custom data queries for institutional clients. This leverages the skill's ability to drill into specific metrics (e.g., broker DARTs trends, exchange market share shifts).
💬 Integration Tip
Ensure the Excel database schema matches the skill's output columns exactly; use openpyxl for updates to preserve formatting. Set up a weekly cron job to run the skill each Monday morning before market open.
Scored May 6, 2026
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