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Polymarket Equity Markets Trader
作者
diagnostikon
· GitHub ↗
· v0.0.3
· MIT-0
326
总下载
0
收藏
0
当前安装
5
版本数
在 OpenClaw 中安装
/install polymarket-equity-markets-trader
功能描述
Trades Polymarket prediction markets on stock index milestones, major IPOs, earnings surprises, analyst upgrades, and company-specific financial events. Expl...
安全使用建议
This skill appears to be a genuine Polymarket trading agent, but the package metadata and documentation are inconsistent with the actual code. Before installing: 1) Confirm you will provide a SIMMER_API_KEY (the code requires it via os.environ['SIMMER_API_KEY']) and review the privileges of that API key (paper vs live trading). 2) Inspect or vet the simmer-sdk package (pip dependency) and the SimmerClient endpoint it contacts. 3) Run the skill in paper/sim mode first (default) and test behavior; do not run with --live until you trust the code and credentials. 4) Ask the publisher to fix the SKILL.md and registry metadata to accurately list required env vars and install steps. If you cannot verify the publisher or the simmer-sdk source, treat this as higher risk.
功能分析
Type: OpenClaw Skill
Name: polymarket-equity-markets-trader
Version: 0.0.3
The skill is a legitimate trading bot designed for Polymarket equity prediction markets. It implements a heuristic-based strategy in `trader.py` that uses the `simmer-sdk` to search for markets and execute trades based on earnings beat rates and macro calendar timing. The code includes safety features such as defaulting to paper trading (simulation mode) and requiring an explicit `--live` flag for real transactions. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力标签
能力评估
Purpose & Capability
The skill claims in the top-level metadata that no environment variables are required and that it's an instruction-only template, but clawhub.json and trader.py require SIMMER_API_KEY and a pip dependency (simmer-sdk). Requiring an API key and an SDK is coherent for a trading skill, but the documentation/registry metadata contradicts the actual requirements, which is a significant mismatch users should be aware of.
Instruction Scope
The SKILL.md and comments emphasize a paper-trade default and that the agent provides alpha while the skill handles market discovery and trade execution. The instructions and code do not attempt to read unrelated system files or exfiltrate data. However, SKILL.md language such as 'works without any external API' conflicts with trader.py which unconditionally reads SIMMER_API_KEY to instantiate SimmerClient, so documentation over-promises scope.
Install Mechanism
There is no explicit platform install spec but clawhub.json declares a pip dependency ('simmer-sdk'). That is a moderate-risk dependency (public package) and expected for a trading client; however, the packaging/install story is inconsistent with the skill's 'instruction-only' claim. Verify how the environment will install/verify the 'simmer-sdk' package before running.
Credentials
Requesting a SIMMER_API_KEY is proportionate to a trading skill. But metadata in the registry incorrectly lists 'no required env vars' while the code requires SIMMER_API_KEY (os.environ['SIMMER_API_KEY']) and also reads multiple SIMMER_* tunables. The mismatch could lead to runtime failure or unexpected behavior; also SimmerClient.apply_skill_config may modify environment settings at runtime, which is normal for an orchestrated trading runtime but should be documented and audited.
Persistence & Privilege
always:false and autostart:false. The skill is marked automaton-managed with entrypoint trader.py (it can be run by the orchestrator), but it does not request elevated or cross-skill configuration changes. Autonomous invocation is allowed (platform default) but not forced. This is normal for a trading automaton.
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-equity-markets-trader - 安装完成后，直接呼叫该 Skill 的名称或使用
/polymarket-equity-markets-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
v1.0.2
Fix apply_skill_config AttributeError for new Simmer SDK compatibility
v1.0.1
- Expanded description to highlight two core structural edges: earnings base rate mispricing and macro event timing lags.
- Added detailed, built-in "equity bias" logic; no external APIs required for core signals.
- Introduced conviction-based trade sizing adjusted by market type and earnings calendar timing multipliers.
- Provided specific multipliers and actionable examples for major equity market scenarios.
- Revised and extended keyword monitoring list and signal remix ideas for greater coverage and usability.
- Updated author attribution.
v1.0.0
- Initial release of Equity Markets & IPO Trader template for Polymarket.
- Enables trading on stock index milestones, IPOs, earnings surprises, analyst upgrades, and company-specific financial events.
- Uses keyword-based market discovery and probability-extreme detection as default signal.
- Provides strategies based on options-implied volatility, VIX spikes, and lag between Polymarket and broader financial markets.
- Paper trading is enabled by default for safety; live trading requires an explicit flag.
- Fully configurable risk and execution parameters via Simmer UI.
元数据
常见问题
Polymarket Equity Markets Trader 是什么？
Trades Polymarket prediction markets on stock index milestones, major IPOs, earnings surprises, analyst upgrades, and company-specific financial events. Expl... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 326 次。
如何安装 Polymarket Equity Markets Trader？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install polymarket-equity-markets-trader」即可一键安装，无需额外配置。
Polymarket Equity Markets Trader 是免费的吗？
是的，Polymarket Equity Markets Trader 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Polymarket Equity Markets Trader 支持哪些平台？
Polymarket Equity Markets 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 Equity Markets Trader？
由 diagnostikon（@diagnostikon）开发并维护，当前版本 v0.0.3。
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