etrade-pelosi-botMirror congressional stock trades with automated broker execution and risk management
Install via ClawdBot CLI:
clawdbot install mainfraame/etrade-pelosi-botGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
report → https://disclosures-clerk.house.gov/example.pdfAccesses system directories or attempts privilege escalation
/var/log/Calls external URL not in known-safe list
https://github.com/openclaw/clawbackUses known external API (expected, informational)
raw.githubusercontent.comGenerated Mar 1, 2026
A retail investor uses ClawBack to automatically replicate congressional stock trades in their personal brokerage account, leveraging the tool's real-time tracking and automated execution to mimic trades with scaled positions and risk management. This allows them to potentially benefit from the informational advantages of congressional leaders without manual monitoring.
A financial advisory firm integrates ClawBack into their service offerings to provide clients with automated mirroring of congressional trades as a value-added strategy. They use the backtesting engine to validate performance and customize risk settings to align with client portfolios, enhancing their investment management tools.
An educational platform or fintech startup uses ClawBack as a teaching tool to analyze congressional trading patterns and market impacts. Students or users run backtests and adjust strategy settings to learn about automated trading, risk management, and data scraping in a practical, real-world context.
A university or research institution employs ClawBack to collect and analyze congressional trade data for academic studies on market efficiency and political influence. They utilize the automated data scraping and backtesting features to generate insights without relying on third-party APIs.
A hedge fund incorporates ClawBack as part of a quantitative strategy to generate alpha by mirroring congressional trades with high-frequency adjustments. They leverage the risk management features like trailing stop-losses and drawdown limits to manage large-scale positions across multiple accounts.
Offer ClawBack as a cloud-hosted service where users pay a monthly or annual subscription fee for access to automated trade mirroring, real-time alerts via Telegram, and premium features like advanced backtesting. Revenue is generated through tiered pricing based on account size or trade volume.
License the ClawBack software to financial institutions, brokerages, or fintech companies who rebrand and integrate it into their own platforms. Revenue comes from upfront licensing fees and ongoing support contracts, allowing partners to offer congressional trade mirroring as a proprietary feature.
Provide a free version of ClawBack with basic features to attract users, then monetize through partnerships with brokers like E*TRADE, where revenue is earned via referral commissions or API usage fees. Premium upgrades could include additional brokers, enhanced risk tools, or priority support.
💬 Integration Tip
Ensure secure handling of API keys and secrets via environment variables, and test the broker adapter with a demo account before live trading to avoid execution errors.
Scored Apr 19, 2026
AI Analysis
The skill's core function involves automated trading via broker API access, which inherently carries significant financial risk if compromised. The rule-based signals indicate potential data exfiltration to an undocumented endpoint and suspicious system directory access, which deviate from the stated purpose of scraping only official government sources. While not definitively malicious, these undocumented behaviors combined with high-privilege financial access warrant caution.
Audited Apr 16, 2026 · audit v1.0
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