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diagnostikon

Kalshi Fed Futures Arb Trader

by diagnostikon · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install kalshi-fed-futures-arb-trader
Description
Compares CME FedWatch implied rate probabilities to Kalshi Fed rate decision market prices and trades when divergence exceeds threshold. Requires SIMMER_API_...
README (SKILL.md)

\r \r

Kalshi Fed Futures Arb Trader\r

\r

This is a template. \r The default signal uses static CME FedWatch probabilities -- remix it with live FedWatch scraping, OIS curve extraction, or SOFR futures-implied paths. \r The skill handles all the plumbing (market discovery, trade execution, safeguards). Your agent provides the alpha.\r \r

Strategy Overview\r

\r CME FedWatch Tool derives rate-cut probabilities from fed funds futures -- a deep, institutional market. Kalshi lists the same events as prediction markets. This skill compares the two and trades when Kalshi diverges from the futures-implied fair value.\r \r Key advantages:\r

  • Futures are the institutional benchmark -- deep liquidity and professional pricing\r
  • Kalshi retail flow creates mispricing -- especially around FOMC meetings\r
  • Multiple meetings -- signals across the entire rate path\r \r

Signal Logic\r

\r

FedWatch Arbitrage Model\r

\r

  1. Load CME FedWatch implied probabilities per FOMC meeting\r
  2. Fetch Kalshi Fed rate decision markets\r
  3. Match markets to meetings and detect direction (cut vs hike)\r
  4. Compute edge: fair_yes - market_price\r
  5. Trade when |edge| >= entry_edge\r \r

Example (with defaults)\r

\r | Meeting | FedWatch P(cut) | Kalshi P | Edge | Action |\r |---------|----------------|----------|------|--------|\r | Jun 2026 | 35% | 25% | +10% | BUY YES |\r | Sep 2026 | 68% | 70% | -2% | Hold |\r | Dec 2026 | 82% | 65% | +17% | BUY YES |\r \r

Remix Ideas\r

\r

  • Live FedWatch scraper: Auto-refresh from CME website\r
  • OIS curve extraction: Derive probabilities from overnight index swaps\r
  • SOFR futures: Use SOFR futures strips for higher precision\r
  • Cross-meeting consistency: Enforce temporal monotonicity across meetings\r \r

Risk Parameters\r

\r | Parameter | Default | Notes |\r |-----------|---------|-------|\r | Entry edge | 8% | Min FedWatch-vs-Kalshi 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

\r

clawhub install kalshi-fed-futures-arb-trader\r
```\r
\r
Requires: `SIMMER_API_KEY` and `SOLANA_PRIVATE_KEY` environment variables.\r
\r
## Cron Schedule\r
\r
Cron is set to `null` -- the skill does not run on a schedule until you configure it in the Simmer UI.\r
\r
## Safety & Execution Mode\r
\r
**The skill defaults to dry-run mode. Real trades only execute when `--live` is passed explicitly.**\r
\r
| 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
\r
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
\r
## 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
\r
## Tunables (Risk Parameters)\r
\r
All risk parameters are declared in `clawhub.json` as `tunables` and adjustable from the Simmer UI without code changes.\r
\r
| Variable | Default | Purpose |\r
|----------|---------|---------|\r
| `SIMMER_FED_FUT_ENTRY_EDGE` | `0.08` | Min divergence between FedWatch and market to trigger trade |\r
| `SIMMER_FED_FUT_EXIT_THRESHOLD` | `0.45` | Sell position when price reaches this level |\r
| `SIMMER_FED_FUT_MAX_POSITION_USD` | `5.00` | Max USDC per trade |\r
| `SIMMER_FED_FUT_MAX_TRADES_PER_RUN` | `3` | Max trades per execution cycle |\r
| `SIMMER_FED_FUT_SLIPPAGE_MAX` | `0.15` | Max slippage before skipping (0.15 = 15%) |\r
| `SIMMER_FED_FUT_MIN_LIQUIDITY` | `0` | Min market liquidity USD (0 = disabled) |\r
\r
## Dependency\r
\r
`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
Usage Guidance
This skill appears coherent for algorithmic arbitrage between CME FedWatch-implied probabilities and Kalshi markets. Before installing or providing credentials: 1) Review the simmer-sdk PyPI package and its GitHub source to ensure it behaves as expected. 2) Test in dry-run mode only (the default) and keep the --live flag off until you've audited code and behavior. 3) Treat SOLANA_PRIVATE_KEY as highly sensitive — consider using a limited testnet key or an account with minimal funds for initial tests, and rotate keys if you later use production funds. 4) Note the skill can import markets into your Simmer account and place live trades when explicitly run with --live; confirm you want that behavior. 5) The SKILL.md has a small metadata inconsistency (required_env at top vs later text); confirm both SIMMER_API_KEY and SOLANA_PRIVATE_KEY are intended before supplying secrets.
Capability Analysis
Type: OpenClaw Skill Name: kalshi-fed-futures-arb-trader Version: 1.0.1 The skill is a well-structured trading bot designed to arbitrage between CME FedWatch probabilities and Kalshi prediction markets using the `simmer-sdk`. It handles sensitive credentials (`SIMMER_API_KEY`, `SOLANA_PRIVATE_KEY`) as required for its stated purpose and includes multiple safety features, such as a default dry-run mode, slippage limits, liquidity checks, and 'flip-flop' detection to prevent rapid trade reversals. The code in `trader.py` is transparent, follows the logic described in `SKILL.md`, and lacks any indicators of malicious intent, obfuscation, or unauthorized data exfiltration.
Capability Tags
cryptorequires-wallet
Capability Assessment
Purpose & Capability
Name/description claim to compare CME FedWatch probabilities to Kalshi markets and place trades. The code and metadata require simmer-sdk, a Simmer API key, and a Solana private key for live execution — all expected for a trading skill that discovers markets and executes on-chain orders via a trading SDK.
Instruction Scope
SKILL.md and trader.py keep scope to market discovery, pricing comparison, and trade execution. The skill can import Kalshi markets into the user's Simmer account and execute live trades when run with --live. Minor inconsistency: top SKILL.md metadata lists only SIMMER_API_KEY as required_env while other sections and clawhub.json show both SIMMER_API_KEY and SOLANA_PRIVATE_KEY are required for live trading. The skill optionally integrates with a trade journal (local or skills.tradejournal), which is benign but worth auditing if you care about where trade logs go.
Install Mechanism
No custom install script; dependency is a PyPI package (simmer-sdk) declared in clawhub.json and SKILL.md. Using a PyPI package is a common approach but increases risk if you don't trust the package publisher — review the simmer-sdk source before supplying live credentials.
Credentials
The skill requires SIMMER_API_KEY and SOLANA_PRIVATE_KEY. Both are sensitive and appropriate for a tool that programmatically trades via a Simmer SDK and signs transactions on Solana. Ensure you understand the privileges associated with those credentials; do not provide production private keys until you audit the SDK and code. No other unrelated secrets or envs are requested.
Persistence & Privilege
always is false and autostart is false; the automaton entrypoint exists but will not run automatically. The skill does not request elevated platform privileges or permanent always-on inclusion.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install kalshi-fed-futures-arb-trader
  3. After installation, invoke the skill by name or use /kalshi-fed-futures-arb-trader
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Rescan
v1.0.0
Initial release
Metadata
Slug kalshi-fed-futures-arb-trader
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Kalshi Fed Futures Arb Trader?

Compares CME FedWatch implied rate probabilities to Kalshi Fed rate decision market prices and trades when divergence exceeds threshold. Requires SIMMER_API_... It is an AI Agent Skill for Claude Code / OpenClaw, with 110 downloads so far.

How do I install Kalshi Fed Futures Arb Trader?

Run "/install kalshi-fed-futures-arb-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Kalshi Fed Futures Arb Trader free?

Yes, Kalshi Fed Futures Arb Trader is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Kalshi Fed Futures Arb Trader support?

Kalshi Fed Futures Arb Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Kalshi Fed Futures Arb Trader?

It is built and maintained by diagnostikon (@diagnostikon); the current version is v1.0.1.

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