← Back to Skills Marketplace
diagnostikon

Kalshi Crypto Momentum Trader

by diagnostikon · GitHub ↗ · v1.0.5 · MIT-0
cross-platform ⚠ suspicious
108
Downloads
0
Stars
0
Active Installs
6
Versions
Install in OpenClaw
/install kalshi-crypto-momentum-trader
Description
Uses 7-day and 30-day price trend extrapolation to trade crypto year-end price target markets on Kalshi. Requires SIMMER_API_KEY and simmer-sdk.
README (SKILL.md)

\r \r

Kalshi Crypto Momentum Trader\r

\r

This is a template. \r The default signal uses static 7d/30d momentum parameters -- remix it with live price API feeds, multiple timeframes, or volume-weighted momentum. \r The skill handles all the plumbing (market discovery, trade execution, safeguards). Your agent provides the alpha.\r \r

Strategy Overview\r

\r Crypto markets on Kalshi price year-end targets. Price momentum (7d/30d trends) is a strong predictor of whether targets will be reached. This skill extrapolates recent price trends to compute probability that each target is hit by year-end.\r \r

Signal Logic\r

\r

Momentum Trend Model\r

\r

  1. Compute 7-day and 30-day price change ratios for BTC/ETH\r
  2. Extrapolate current trend to year-end using exponential projection\r
  3. Compute probability of reaching each price target under trend assumption\r
  4. Compare model probability to Kalshi market price\r
  5. Trade when |model - market| >= entry_edge\r \r

Remix Ideas\r

\r

  • Live price API: CoinGecko/Binance for real-time trend computation\r
  • Multiple timeframe ensemble: 1d, 7d, 30d, 90d momentum signals\r
  • Volume-weighted momentum: Higher conviction when volume confirms\r
  • Mean-reversion overlay: Dampen extreme trend signals\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

\r

clawhub install kalshi-crypto-momentum-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
| Variable | Default | Purpose |\r
|----------|---------|---------|\r
| `SIMMER_CRYPTO_MOM_ENTRY_EDGE` | `0.10` | Min divergence to trigger trade |\r
| `SIMMER_CRYPTO_MOM_EXIT_THRESHOLD` | `0.45` | Sell position when price reaches this level |\r
| `SIMMER_CRYPTO_MOM_MAX_POSITION_USD` | `5.00` | Max USDC per trade |\r
| `SIMMER_CRYPTO_MOM_MAX_TRADES_PER_RUN` | `3` | Max trades per execution cycle |\r
| `SIMMER_CRYPTO_MOM_SLIPPAGE_MAX` | `0.15` | Max slippage before skipping |\r
| `SIMMER_CRYPTO_MOM_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
Key points before you install or provide credentials: - There is an inconsistency: the registry listed no required env vars, but SKILL.md, clawhub.json, and trader.py require SIMMER_API_KEY and (for live trading) SOLANA_PRIVATE_KEY. Treat that metadata mismatch as a red flag and ask the publisher to correct it or provide an explanation. - SIMMER_API_KEY and SOLANA_PRIVATE_KEY are high-value secrets. Only supply them if you fully trust the publisher and have reviewed the simmer-sdk package and this trader.py source. Prefer creating a dedicated wallet with minimal funds for testing and do not use your primary private key. - Run the skill in dry-run first (the code defaults to dry-run) and verify behavior: what network endpoints are contacted, what orders would be placed, and what data is transmitted. Monitor network traffic if possible. - Review the simmer-sdk package on PyPI/GitHub for malicious or unexpected network calls and for versions that match the repository referenced in SKILL.md. If the publisher's homepage/repository is missing or doesn't match the package, treat that as higher risk. - Keep autostart disabled and avoid passing --live until you have audited the code and tested in a controlled environment. Rotate any keys you use for testing afterward. - If you need more assurance, ask the publisher for a signed release, minimal-permission API credentials, or split-wallet approach (e.g., trading authority that cannot withdraw funds).
Capability Tags
cryptorequires-wallet
Capability Assessment
Purpose & Capability
The stated purpose (Kalshi crypto momentum trader) aligns with the code: it uses a Simmer SDK client to discover/import Kalshi markets and can execute trades. Requiring a SIMMER_API_KEY and a SOLANA_PRIVATE_KEY is plausible for a trading skill that executes on-chain/settlement flows. HOWEVER the registry summary at the top of the submission claims 'Required env vars: none' and 'Primary credential: none', which contradicts the SKILL.md, clawhub.json, and trader.py that all require SIMMER_API_KEY (and the manifest requires SOLANA_PRIVATE_KEY). This metadata inconsistency is suspicious and should be resolved.
Instruction Scope
SKILL.md explicitly instructs installing and supplying SIMMER_API_KEY and SOLANA_PRIVATE_KEY and describes live trading behavior (python trader.py --live). The runtime instructions and trader.py read environment variables and call SimmerClient methods and internal _request endpoints. The SKILL.md and code reference additional environment variables (e.g., AUTOMATON_MAX_BET, TRADING_VENUE) and optional tradejournal integrations that are not declared in the top-level metadata. The instructions therefore reference env/config beyond what the registry initially advertised, and they direct the agent to perform sensitive actions (placing real trades given a private key) — this broad scope deserves caution.
Install Mechanism
There is no high-risk download/install step in the skill bundle itself (instruction-only install, with included trader.py). The SKILL.md and clawhub.json declare a pip dependency: 'simmer-sdk'. Because the skill depends on a third-party PyPI package for networked trading operations, the user should review the simmer-sdk package source (and any version differences) before installing or providing live credentials. No arbitrary URL downloads or extracted archives were found in the submission.
Credentials
The skill requires SIMMER_API_KEY and SOLANA_PRIVATE_KEY — both are high-value credentials appropriate for a trading agent but sensitive. That is proportionate to executing live trades only if you intend to permit that risk. Problems: (1) the top-level registry metadata incorrectly listed no required envs, (2) trader.py and SKILL.md also reference other envs (AUTOMATON_MAX_BET, TRADING_VENUE) that were not declared in the registry 'required env' summary, and (3) accepting a raw SOLANA_PRIVATE_KEY (base58 private key) grants full control of the associated wallet. Provide keys only for a dedicated low-funds wallet and after auditing simmer-sdk source.
Persistence & Privilege
always:false and autostart:false (in clawhub.json) mean the skill is not force-installed and will not auto-start on install, which is good. However automaton.managed: true with an entrypoint of trader.py means the platform may run the agent/automaton for this skill when you enable it; combined with the required private key and API key this increases blast radius if the skill is later invoked autonomously. Autonomous invocation is normal for skills, but given the sensitive credentials requested, the combination elevates risk and warrants extra caution (review code, keep autostart disabled, run in dry-run mode first).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install kalshi-crypto-momentum-trader
  3. After installation, invoke the skill by name or use /kalshi-crypto-momentum-trader
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.5
Final rescan attempt
v1.0.4
Rescan attempt
v1.0.3
Re-publish for security rescan
v1.0.2
v1.0.2 — No code changes. Re-publish to refresh registry metadata. All env vars (SIMMER_API_KEY, SOLANA_PRIVATE_KEY) properly declared in clawhub.json requires.env.
v1.0.1
Trigger rescan — all metadata consistent
v1.0.0
Kalshi Crypto Momentum Trader skill initial release: - Implements a momentum-based trading strategy for Kalshi crypto year-end price target markets using 7-day and 30-day price trend extrapolation. - Provides adjustable risk parameters (entry edge, exit threshold, max position size, slippage, and more). - Supports paper (dry-run) and live trading modes, defaulting to dry-run for safety. - Requires SIMMER_API_KEY and simmer-sdk for operation. - Designed as a remixable template—users can extend signal logic with live pricing APIs, additional timeframes, or volume-weighted signals.
Metadata
Slug kalshi-crypto-momentum-trader
Version 1.0.5
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 6
Frequently Asked Questions

What is Kalshi Crypto Momentum Trader?

Uses 7-day and 30-day price trend extrapolation to trade crypto year-end price target markets on Kalshi. Requires SIMMER_API_KEY and simmer-sdk. It is an AI Agent Skill for Claude Code / OpenClaw, with 108 downloads so far.

How do I install Kalshi Crypto Momentum Trader?

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

Is Kalshi Crypto Momentum Trader free?

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

Which platforms does Kalshi Crypto Momentum Trader support?

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

Who created Kalshi Crypto Momentum Trader?

It is built and maintained by diagnostikon (@diagnostikon); the current version is v1.0.5.

💬 Comments