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Kalshi F1 Elimination Trader

by diagnostikon · GitHub ↗ · v1.0.4 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install kalshi-f1-elimination-trader
Description
Trades F1 Drivers Championship markets on Kalshi by identifying mathematically eliminated drivers still priced above zero. Sells NO on eliminated drivers for...
README (SKILL.md)

\r \r

Kalshi F1 Elimination Trader\r

\r

This is a template.\r The default signal uses static championship standings -- remix it with live F1 API data for real-time elimination detection as races complete.\r The skill handles all the plumbing (market discovery, trade execution, safeguards). Your agent provides the alpha.\r \r

Strategy Overview\r

\r As the F1 season progresses, drivers become mathematically eliminated from the championship. A driver is eliminated when their maximum possible points (current + MAX_POINTS_PER_RACE * remaining races) is less than the leader's current total. Yet Kalshi markets often still price eliminated drivers above 0% -- this is free money.\r \r Key advantages:\r

  • Mathematical certainty -- elimination is a provable fact, not a prediction\r
  • Low entry edge -- even 3% market price on an eliminated driver is pure edge\r
  • Markets lag reality -- retail traders forget to update stale positions\r
  • Zero-risk thesis -- the only risk is execution/timing, not model error\r \r

Signal Logic\r

\r

Elimination Detection\r

\r

  1. Track championship standings (points per driver)\r
  2. Calculate remaining races in the season\r
  3. For each driver: max_possible = current_points + 26 * remaining_races\r
  4. Driver is eliminated if max_possible \x3C leader_points\r
  5. If eliminated AND market price > entry_edge -> BUY NO\r \r

Points per Race\r

\r | Component | Points |\r |-----------|--------|\r | Win | 25 |\r | Fastest lap | 1 |\r | Max per race | 26 |\r \r

Conviction-Based Sizing\r

\r

  • conviction = min(market_price / entry_edge, 2.0) / 2.0\r
  • size = max($1.00, conviction * MAX_POSITION_USD)\r
  • Higher market price on eliminated driver = more conviction = larger position\r \r

Risk Parameters\r

\r | Parameter | Default | Notes |\r |-----------|---------|-------|\r | Entry edge | 3% | Min market price on eliminated driver 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 | 5 | 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-f1-elimination-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
## 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
| Variable | Default | Purpose |\r
|----------|---------|---------|\r
| `SIMMER_F1_ELIM_ENTRY_EDGE` | `0.03` | Min market price on eliminated driver to trade |\r
| `SIMMER_F1_ELIM_EXIT_THRESHOLD` | `0.45` | Sell position when price reaches this level |\r
| `SIMMER_F1_ELIM_MAX_POSITION_USD` | `5.00` | Max USDC per trade |\r
| `SIMMER_F1_ELIM_MAX_TRADES_PER_RUN` | `5` | Max trades per execution cycle |\r
| `SIMMER_F1_ELIM_SLIPPAGE_MAX` | `0.15` | Max slippage before skipping trade |\r
| `SIMMER_F1_ELIM_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
Usage Guidance
Key things to check and do before installing or providing secrets: - Do not paste your primary Solana private key: create a throwaway wallet with a small amount of USDC for testing and use that for live runs if you must. - Verify the full trader.py source (the copy in the prompt was truncated). Look specifically for any network calls, hard-coded endpoints, or code that transmits data to unexpected servers. - Confirm simmer-sdk is the official package you expect (review the PyPI project and the GitHub repo linked in SKILL.md) and audit its code if you plan to run live. - Prefer to run in dry-run mode first (python trader.py) and validate the markets discovered and the logic before ever passing --live. - Because the registry metadata conflicted with the files, ask the publisher/owner to correct the package metadata so required credentials are explicit in the platform UI. - If you decide to run live, limit exposure: use a wallet with minimal funds, set conservative tunables (low max position), and monitor/log all actions. Rotate keys if you suspect anything unexpected. - If you are not comfortable auditing code or managing keys, do not provide SOLANA_PRIVATE_KEY or run with --live.
Capability Analysis
Type: OpenClaw Skill Name: kalshi-f1-elimination-trader Version: 1.0.4 The skill bundle is a legitimate trading bot template for F1 championship markets on Kalshi using the Simmer SDK. The code in 'trader.py' implements a mathematical elimination strategy as described in 'SKILL.md', including safety features like dry-run mode by default, slippage checks, and liquidity requirements. While it requires sensitive credentials (SIMMER_API_KEY and SOLANA_PRIVATE_KEY), these are handled through the official 'simmer-sdk' for their intended purpose of trade execution, with no evidence of exfiltration, obfuscation, or malicious intent.
Capability Tags
cryptorequires-wallet
Capability Assessment
Purpose & Capability
The skill's code and SKILL.md implement a Kalshi/Simmer trading bot that detects mathematically eliminated F1 drivers and (optionally) places trades. Requiring SIMMER_API_KEY and SOLANA_PRIVATE_KEY is coherent with that purpose. However, the registry summary at the top of the submission incorrectly listed 'Required env vars: none' and 'Primary credential: none', which conflicts with both SKILL.md, clawhub.json, and trader.py that require credentials. This metadata mismatch reduces trust and should be resolved before install.
Instruction Scope
SKILL.md and trader.py primarily describe market discovery, elimination detection using static standings, and trade execution via the simmer-sdk. The skill defaults to dry-run and only executes real trades when run with --live, which is appropriate. A notable behavior: the bundled default signal uses static championship standings (a template) — the skill suggests remixing with live F1 API data for real-time detection, so out-of-the-box results may be stale. The provided trader.py in the prompt was truncated; the missing portion could contain additional behavior, so review the full file before running.
Install Mechanism
No opaque download/install is present in the bundle; dependencies are standard (simmer-sdk on PyPI). clawhub.json also lists simmer-sdk as a pip requirement. There are no downloads from arbitrary URLs or archive extraction steps in the provided materials.
Credentials
The skill requires SIMMER_API_KEY (API credential for Simmer) and SOLANA_PRIVATE_KEY (base58 private key used for signing on Solana). Both are logically required to place live trades, but the Solana private key is a high-value secret that grants on-chain spending authority. The skill also reads optional environment values (e.g., TRADING_VENUE, AUTOMATON_MAX_BET). Requesting a private key is proportionate for live trading, but it raises real risk — ensure you supply a limited-funds wallet and confirm you trust both the simmer-sdk package and the skill's code.
Persistence & Privilege
The skill is not configured as always:true and autostart is false in clawhub.json. disable-model-invocation is not set (default false), which is normal. The skill requests no system-wide config changes beyond its own config management via simmer-sdk utilities.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install kalshi-f1-elimination-trader
  3. After installation, invoke the skill by name or use /kalshi-f1-elimination-trader
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
Rescan
v1.0.3
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v1.0.2
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v1.0.1
Rescan
v1.0.0
Initial release
Metadata
Slug kalshi-f1-elimination-trader
Version 1.0.4
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 5
Frequently Asked Questions

What is Kalshi F1 Elimination Trader?

Trades F1 Drivers Championship markets on Kalshi by identifying mathematically eliminated drivers still priced above zero. Sells NO on eliminated drivers for... It is an AI Agent Skill for Claude Code / OpenClaw, with 81 downloads so far.

How do I install Kalshi F1 Elimination Trader?

Run "/install kalshi-f1-elimination-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Kalshi F1 Elimination Trader free?

Yes, Kalshi F1 Elimination Trader is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Kalshi F1 Elimination Trader support?

Kalshi F1 Elimination Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Kalshi F1 Elimination Trader?

It is built and maintained by diagnostikon (@diagnostikon); the current version is v1.0.4.

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