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etrade-pelosi-botetrade 佩洛西机器人

Agent Skill

etrade-pelosi-bot 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

61,133

周安装

2,473

GitHub Stars

4

下载量

19,190
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:etrade-pelosi-bot(etrade 佩洛西机器人)
来源仓库:https://github.com/mainfraame/etrade-pelosi-bot
安装命令:
openclaw skills install etrade-pelosi-bot
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install etrade-pelosi-bot

简介

通过自动经纪执行和风险管理来反映国会股票交易。

  • 提供政治关联证券交易模拟与风控支持。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 通过 clawhub 安装,适用于 OpenClaw 宿主环境。
  • 适用于金融模拟、政策影响分析等研究检索场景。
  • etrade-pelosi-bot 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
clawback
description
Mirror congressional stock trades with automated broker execution and risk management
version
1.0.0
author
dayne
metadata
openclaw
requires
config
optional_config

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 RateReturnSharpe
3-day delay, 30-day hold42.9%+6.2%0.39
9-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.

BrokerAdapterStatus
E*TRADEetrade_adapter.pySupported
Schwabschwab_adapter.pyPlanned
Fidelityfidelity_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:

SourceDataMethod
House ClerkHouse PTR filingsPDF parsing
Senate 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*

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

81.74%
按下载量换算15,686

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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