Kalshi Econ Nowcast Trader
/install kalshi-econ-nowcast-trader
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Kalshi Economic Nowcast Trader\r
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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
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- 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
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| 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
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Review the source before providing live credentials if you require full auditability.\r
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install kalshi-econ-nowcast-trader - After installation, invoke the skill by name or use
/kalshi-econ-nowcast-trader - Provide required inputs per the skill's parameter spec and get structured output
What is Kalshi Econ Nowcast Trader?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 85 downloads so far.
How do I install Kalshi Econ Nowcast Trader?
Run "/install kalshi-econ-nowcast-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Kalshi Econ Nowcast Trader free?
Yes, Kalshi Econ Nowcast Trader is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Kalshi Econ Nowcast Trader support?
Kalshi Econ Nowcast Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Kalshi Econ Nowcast Trader?
It is built and maintained by diagnostikon (@diagnostikon); the current version is v1.0.1.