Kalshi Econ Nowcast Trader
/install kalshi-econ-nowcast-trader
\r \r
Kalshi Economic Nowcast Trader\r
\r
This is a template. \r The default signal uses the Cleveland Fed CPI Nowcast point estimate and standard deviation to price CPI bins -- remix it with real-time nowcast scraping, multiple nowcast sources, or Bayesian updating as data arrives. \r The skill handles all the plumbing (market discovery, trade execution, safeguards). Your agent provides the alpha.\r \r
Strategy Overview\r
\r Kalshi lists CPI bin markets ("Will CPI be between 0.2% and 0.3%?"). This skill prices each bin using the Cleveland Fed's CPI Nowcast as the mean of a normal distribution, then trades when the market price diverges from the model probability.\r \r Key advantages:\r
- Cleveland Fed Nowcast is free and public -- updated regularly with high accuracy\r
- Normal distribution is well-calibrated for CPI -- historically fits actual outcomes\r
- Multiple bins per release -- diversified signal across the distribution\r \r
Signal Logic\r
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Nowcast-to-Bin Model\r
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- Load Cleveland Fed CPI Nowcast estimate and standard deviation\r
- Compute P(CPI in [low, high]) = Phi(z_high) - Phi(z_low) for each bin\r
- Compare model probability to Kalshi market price\r
- Trade when
|model - market| >= entry_edge\r \r
Example (with defaults: estimate=0.3%, stddev=0.15%)\r
\r | Bin | Model P | Market P | Edge | Action |\r |-----|---------|----------|------|--------|\r | 0.1%-0.2% | 9.2% | 15% | -5.8% | Hold |\r | 0.2%-0.3% | 34.1% | 20% | +14.1% | BUY YES |\r | 0.4%-0.5% | 9.2% | 22% | -12.8% | BUY NO |\r \r
Remix Ideas\r
\r
- Live nowcast scraper: Auto-refresh from Cleveland Fed website\r
- Multi-source ensemble: Average Cleveland Fed, NY Fed, and Atlanta Fed nowcasts\r
- Bayesian updates: Incorporate PPI, import prices, and other leading indicators\r
- Volatility scaling: Widen stddev near data release dates\r \r
Risk Parameters\r
\r | Parameter | Default | Notes |\r |-----------|---------|-------|\r | Entry edge | 10% | Min model-vs-market divergence to trade |\r | Exit threshold | 45% | Sell when position price reaches this |\r | Max position size | $5.00 USDC | Per market |\r | Max trades per run | 3 | Rate limiting |\r | Max slippage | 15% | Skip if slippage exceeds |\r | Min liquidity | $0 | Disabled by default |\r \r
Installation & Setup\r
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clawhub install kalshi-econ-nowcast-trader\r
```\r
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Requires: `SIMMER_API_KEY` and `SOLANA_PRIVATE_KEY` environment variables.\r
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## Cron Schedule\r
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Cron is set to `null` -- the skill does not run on a schedule until you configure it in the Simmer UI.\r
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## Safety & Execution Mode\r
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**The skill defaults to dry-run mode. Real trades only execute when `--live` is passed explicitly.**\r
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| Scenario | Mode | Financial risk |\r
|----------|------|----------------|\r
| `python trader.py` | Dry run | None |\r
| Cron / automaton | Dry run | None |\r
| `python trader.py --live` | Live (Kalshi via DFlow) | Real USDC |\r
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The automaton cron is set to `null` -- it does not run on a schedule until you configure it in the Simmer UI. `autostart: false` means it won't start automatically on install.\r
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## Required Credentials\r
\r
| Variable | Required | Notes |\r
|----------|----------|-------|\r
| `SIMMER_API_KEY` | Yes | Trading authority. Treat as a high-value credential. |\r
| `SOLANA_PRIVATE_KEY` | Yes | Base58-encoded Solana private key for live trading. |\r
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## Tunables (Risk Parameters)\r
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All risk parameters are declared in `clawhub.json` as `tunables` and adjustable from the Simmer UI without code changes.\r
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| Variable | Default | Purpose |\r
|----------|---------|---------|\r
| `SIMMER_ECON_NOW_ENTRY_EDGE` | `0.10` | Min divergence between nowcast model and market to trigger trade |\r
| `SIMMER_ECON_NOW_EXIT_THRESHOLD` | `0.45` | Sell position when price reaches this level |\r
| `SIMMER_ECON_NOW_MAX_POSITION_USD` | `5.00` | Max USDC per trade |\r
| `SIMMER_ECON_NOW_MAX_TRADES_PER_RUN` | `3` | Max trades per execution cycle |\r
| `SIMMER_ECON_NOW_SLIPPAGE_MAX` | `0.15` | Max slippage before skipping (0.15 = 15%) |\r
| `SIMMER_ECON_NOW_MIN_LIQUIDITY` | `0` | Min market liquidity USD (0 = disabled) |\r
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## Dependency\r
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`simmer-sdk` is published on PyPI by Simmer Markets.\r
- PyPI: https://pypi.org/project/simmer-sdk/\r
- GitHub: https://github.com/SpartanLabsXyz/simmer-sdk\r
- Publisher: [email protected]\r
\r
Review the source before providing live credentials if you require full auditability.\r
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install kalshi-econ-nowcast-trader - 安装完成后,直接呼叫该 Skill 的名称或使用
/kalshi-econ-nowcast-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
Kalshi Econ Nowcast Trader 是什么?
Trades CPI bin markets on Kalshi using the Cleveland Fed CPI Nowcast to compute fair bin probabilities via a normal distribution model. Requires SIMMER_API_K... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 85 次。
如何安装 Kalshi Econ Nowcast Trader?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install kalshi-econ-nowcast-trader」即可一键安装,无需额外配置。
Kalshi Econ Nowcast Trader 是免费的吗?
是的,Kalshi Econ Nowcast Trader 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Kalshi Econ Nowcast Trader 支持哪些平台?
Kalshi Econ Nowcast 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 Kalshi Econ Nowcast Trader?
由 diagnostikon(@diagnostikon)开发并维护,当前版本 v1.0.1。