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Polymarket Real Estate Trader
作者
diagnostikon
· GitHub ↗
· v0.0.3
· MIT-0
328
总下载
0
收藏
0
当前安装
6
版本数
在 OpenClaw 中安装
/install polymarket-real-estate-trader
功能描述
Trades Polymarket prediction markets on housing prices, mortgage rates, Fed rate decisions, real estate crash scenarios, and regional property market milesto...
安全使用建议
This skill appears internally consistent for a Simmer/Polymarket trading bot and defaults to paper trading. Before using it live: (1) keep SIMMER_API_KEY secret and only grant it the minimum permissions needed; (2) verify the simmer-sdk package (PyPI page and GitHub repo) to ensure you trust that dependency; (3) review the full trader.py yourself (or have a reviewer) so you're comfortable with any network calls the SDK makes; (4) do not run with --live until you understand position sizing and risk tunables; (5) confirm autostart remains disabled in your deployment to avoid accidental live trades. Note the small documentation mismatch: SKILL.md claims "no external API" for the edge, but the runtime relies on the Simmer service (SIMMER_API_KEY).
功能分析
Type: OpenClaw Skill
Name: polymarket-real-estate-trader
Version: 0.0.3
The skill is a legitimate trading bot designed for Polymarket prediction markets related to real estate and Federal Reserve decisions. It utilizes the 'simmer-sdk' for market interaction and implements a transparent strategy based on FOMC calendars and market volatility. Security-wise, it follows best practices by defaulting to a paper-trading mode ('sim') and requiring an explicit '--live' flag for real financial transactions. No indicators of data exfiltration, malicious code execution, or prompt injection were found in trader.py or SKILL.md.
能力标签
能力评估
Purpose & Capability
Name/description match the included code and declared dependency (simmer-sdk). Minor wording mismatch: SKILL.md states the edge is captured "without any external API," yet the runtime uses SimmerClient (simmer-sdk) and an API key (SIMMER_API_KEY) to discover markets and execute (or simulate) trades — this is a present, expected external dependency for trading functionality.
Instruction Scope
SKILL.md and trader.py limit runtime actions to discovering markets, computing signals, and placing trades via the Simmer SDK. The instructions only reference the declared tunables and SIMMER_* environment variables; runtime defaults to sim (paper) unless --live is passed.
Install Mechanism
No install spec is included (instruction-only at packaging level), but clawhub.json declares a single pip dependency (simmer-sdk). A single, relevant Python package is proportionate to the described functionality; there are no downloads from arbitrary URLs or extract steps.
Credentials
Only one required credential (SIMMER_API_KEY) and several SIMMER_* tunables are declared. The credential is appropriate for a trading client; no unrelated secrets or system paths are requested.
Persistence & Privilege
autostart is false and always is not set. The automaton entrypoint is declared but managed with autostart:false, so the skill will not run unless explicitly started or configured in the host UI. No requests to modify other skills or system-wide settings are present.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install polymarket-real-estate-trader - 安装完成后，直接呼叫该 Skill 的名称或使用
/polymarket-real-estate-trader触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.0.3
SDK resilience: try/except runt apply_skill_config
v0.0.2
fix: add _client.live=True so --live actually routes to polymarket-venue for real USDC trades
v1.0.3
Republish to refresh registry metadata
v1.0.2
Fix apply_skill_config AttributeError for new Simmer SDK compatibility
v1.0.1
- Enhanced strategy overview to clarify exploitation of FOMC calendar timing and market type conviction, all without external APIs.
- Introduced explicit “Macro Cycle Bias” logic: conviction-based sizing now factors in both FOMC meeting windows and confidence by market type.
- Added detailed tables for multiplier calculations depending on timing and question type, capping at a combined 1.40x.
- Provided clearer, step-by-step default signal process, including market filters and trade sizing logic.
- Updated tunables section with specific example defaults for risk controls and thresholds.
- Streamlined and reorganized documentation for improved readability and practical guidance.
v1.0.0
Initial release of Real Estate & Housing Trader for Polymarket prediction markets.
- Supports trading on housing prices, mortgage rates, Fed rate decisions, real estate crash scenarios, and regional property milestones.
- Provides a template using keyword-based market discovery and probability-extreme detection, with integration ideas for CME FedWatch, Case-Shiller, Zillow, and FRED data.
- Default mode is paper trading (simulation); real trades require explicit activation.
- Risk parameters and credentials are configurable via Simmer UI.
- Depends on simmer-sdk library for all trade execution and market discovery functions.
元数据
常见问题
Polymarket Real Estate Trader 是什么？
Trades Polymarket prediction markets on housing prices, mortgage rates, Fed rate decisions, real estate crash scenarios, and regional property market milesto... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 328 次。
如何安装 Polymarket Real Estate Trader？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install polymarket-real-estate-trader」即可一键安装，无需额外配置。
Polymarket Real Estate Trader 是免费的吗？
是的，Polymarket Real Estate Trader 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Polymarket Real Estate Trader 支持哪些平台？
Polymarket Real Estate Trader 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Polymarket Real Estate Trader？
由 diagnostikon（@diagnostikon）开发并维护，当前版本 v0.0.3。
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