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Tencent SkillHub · AI

Etrade Pelosi Bot

Mirror congressional stock trades with automated broker execution and risk management

skill openclawclawhub Free

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High Signal

Mirror congressional stock trades with automated broker execution and risk management

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: AUTOMATED_SYSTEM_SUMMARY.md, CONGRESSIONAL_DATA.md, QUICK_START.md, README.md, SKILL.md, add_trade.py

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: mainfraame
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

ClawBack

Mirror congressional stock trades with automated broker execution ClawBack tracks stock trades disclosed by members of Congress (House and Senate) and executes scaled positions in your brokerage account. Built on the premise that congressional leaders consistently outperform the market due to informational advantages.

Features

Real-time disclosure tracking from official House Clerk and Senate eFD sources Automated trade execution via broker API (E*TRADE adapter included) Smart position sizing - scales trades to your account size Trailing stop-losses - lock in profits, limit losses Risk management - drawdown limits, consecutive loss protection Telegram notifications - get alerts for new trades and stop-losses Backtesting engine - test strategies on historical data

Performance (Backtest Results)

StrategyWin RateReturnSharpe3-day delay, 30-day hold42.9%+6.2%0.399-day delay, 90-day hold57.1%+4.7%0.22 Congressional leaders have outperformed the S&P 500 by 47% annually according to NBER research.

Quick Start

# Clone and setup git clone https://github.com/openclaw/clawback cd clawback python3 -m venv venv && source venv/bin/activate pip install -r requirements.txt # Configure secrets python3 src/config_loader.py setup # Authenticate with broker python3 src/main.py interactive # Select option 1 to authenticate # Set up automation ./scripts/setup_cron.sh

Configuration

ClawBack reads secrets from environment variables or config/secrets.json: { "BROKER_API_KEY": "your-broker-api-key", "BROKER_API_SECRET": "your-broker-api-secret", "BROKER_ACCOUNT_ID": "your-account-id", "TELEGRAM_BOT_TOKEN": "optional-for-notifications", "TELEGRAM_CHAT_ID": "optional-for-notifications" }

Supported Brokers

ClawBack uses an adapter pattern for broker integration. Each broker implements a common interface defined in broker_adapter.py. BrokerAdapterStatusE*TRADEetrade_adapter.pySupportedSchwabschwab_adapter.pyPlannedFidelityfidelity_adapter.pyPlanned To specify which broker to use, set broker.adapter in your config: { "broker": { "adapter": "etrade", "credentials": { "apiKey": "${BROKER_API_KEY}", "apiSecret": "${BROKER_API_SECRET}" } } }

Data Sources

All data is scraped directly from official government sources: SourceDataMethodHouse ClerkHouse PTR filingsPDF parsingSenate eFDSenate PTR filingsSelenium scraping No third-party APIs required for congressional data.

Strategy Settings

Edit config/config.json to customize: { "strategy": { "entryDelayDays": 3, "holdingPeriodDays": 30, "purchasesOnly": true, "minimumTradeSize": 50000 }, "riskManagement": { "positionStopLoss": 0.08, "trailingStopActivation": 0.10, "trailingStopPercent": 0.05, "maxDrawdown": 0.15 } }

Commands

# Interactive mode python3 src/main.py interactive # Single check cycle python3 src/main.py run # Scheduled trading python3 src/main.py schedule 24 # Run backtest python3 src/backtester.py

Cron Automation

# Install cron jobs ./scripts/setup_cron.sh # Manual runs ./scripts/run_bot.sh check # Check for new trades ./scripts/run_bot.sh monitor # Check stop-losses ./scripts/run_bot.sh full # Both

Architecture

clawback/ ├── src/ │ ├── main.py # Main entry point │ ├── congress_tracker.py # Congressional data collection │ ├── trade_engine.py # Trade execution & risk management │ ├── broker_adapter.py # Abstract broker interface │ ├── etrade_adapter.py # E*TRADE broker implementation │ ├── database.py # SQLite state management │ └── config_loader.py # Configuration handling ├── config/ │ ├── config.json # Main configuration │ └── secrets.json # API keys (git-ignored) ├── scripts/ │ ├── run_bot.sh # Cron runner │ └── setup_cron.sh # Cron installer └── data/ └── trading.db # SQLite database

Risk Disclaimer

This software is for educational purposes only. Trading stocks involves substantial risk of loss. Past performance of congressional trades does not guarantee future results. The authors are not financial advisors. Use at your own risk.

License

MIT License - See LICENSE file Built with ClawBack for the OpenClaw community

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

5 Docs1 Scripts

SKILL.md Primary doc
AUTOMATED_SYSTEM_SUMMARY.md Docs
CONGRESSIONAL_DATA.md Docs
QUICK_START.md Docs
README.md Docs
add_trade.py Scripts