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Polymarket Micro Spread Sniper Trader

v0.0.2

Scans all Polymarket categories for tight spreads (<= 8%) combined with extreme probabilities (<= 15% or >= 85%), placing many tiny conviction-based micro be...

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Install

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Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for diagnostikon/polymarket-micro-spread-sniper-trader.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Polymarket Micro Spread Sniper Trader" (diagnostikon/polymarket-micro-spread-sniper-trader) from ClawHub.
Skill page: https://clawhub.ai/diagnostikon/polymarket-micro-spread-sniper-trader
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install polymarket-micro-spread-sniper-trader

ClawHub CLI

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npx clawhub@latest install polymarket-micro-spread-sniper-trader
Security Scan
Capability signals
CryptoRequires sensitive credentials
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
VirusTotalVirusTotal
Benign
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OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
Purpose (scan Polymarket for tight spreads and place micro trades) matches the code and required SIMMER_API_KEY and a simmer-sdk dependency. Requesting a single trading API key is proportionate for this purpose. However the documentation and code disagree about threshold values (SKILL.md and code mention 8%/15%/85%, other places show 0.08/0.00/0.80, and clawhub.json sets YES_THRESHOLD default to 0.0 which effectively disables YES-mode). These mismatches are confusing and could lead to unexpected behavior.
Instruction Scope
Runtime instructions and code restrict actions to market discovery (get_fast_markets, find_markets, get_markets), context checks, and placing trades via SimmerClient. The skill defaults to paper trading and requires an explicit --live to trade real USDC. There are no instructions to read unrelated system files or exfiltrate arbitrary data. Caveat: the SKILL.md and in-code docstrings are inconsistent about thresholds and gates (e.g., references to 15%/85% vs 8%/80% vs defaults of 0.0/0.8), which can change which trades are executed.
Install Mechanism
No arbitrary download URLs; the manifest declares a pip dependency on 'simmer-sdk' (clawhub.json). That is a typical and expected dependency for interacting with a trading service, but pip packages should be reviewed/trusted because they run arbitrary code when installed.
Credentials
Only SIMMER_API_KEY is required (declared in clawhub.json and SKILL.md). This is proportionate since the skill needs trading authority. The code uses os.environ["SIMMER_API_KEY"] (will error if missing), and the API key is high-value — treat it like a secret.
Persistence & Privilege
No always:true, autostart is false, and cron is null — the skill does not force persistent or automatic live trading by default. It is marked automaton-managed with an entrypoint, which is normal for runnable skills but nothing will run until the user enables it or runs it. Note the platform default allows autonomous invocation, but that is not escalated here.
What to consider before installing
Things to check before installing or running live: - Test thoroughly in paper mode (the skill defaults to sim) and verify observed behavior matches your expectations. Don't run with --live until comfortable. - Review and reconcile the threshold/tuning defaults: SKILL.md, in-code comments, and clawhub.json disagree (e.g., YES_THRESHOLD values). By default SIMMER_YES_THRESHOLD=0.0 in the manifest which effectively disables YES-mode unless you change it. - Audit the simmer-sdk package (source, maintainer, permissions) before pip installing, because it will be used to execute trades and can contain arbitrary code. - Treat SIMMER_API_KEY as a high-value secret: restrict its scope/permissions if possible and do not share it widely. - Confirm the SimmerClient endpoints and behavior (what data is sent to Simmer, what context is fetched) so you understand what external service will receive about your markets and trades. - If you need stricter guarantees, ask the author for a clear README explaining default thresholds and a minimal reproducible paper-trade run, or for a signed/hosted source (homepage is missing).

Like a lobster shell, security has layers — review code before you run it.

latestvk97a7pbzbgzhe36sz85ke8n12d852bag
153downloads
0stars
8versions
Updated 1w ago
v0.0.2
MIT-0

Micro Spread Sniper Trader

This is a template. The default signal is purely price-based with a strict spread filter -- no external API required. The skill discovers markets via keyword sweep (Bitcoin Up or Down, Ethereum Up or Down, Solana Up or Down, XRP Up or Down) plus a direct get_markets(limit=100) scan, identifies extreme probabilities where the bid-ask spread is unusually tight, and places micro-sized bets on the near-certain outcome. The skill handles all the plumbing (market discovery, spread filtering, volume gating, conviction sizing, trade execution, safeguards). Your agent provides the alpha.

Strategy Overview

Polymarket lists markets across many categories. Some of these markets reach extreme probabilities (>= 80% or <= 8%) where the outcome is near-certain. The key insight: when a market also has a tight bid-ask spread (<= 8%), it means the market maker is confident in the direction and is pricing it efficiently. Wide spreads at extreme prices signal uncertainty; tight spreads signal conviction.

The skill scans for markets matching this microstructure signal using 4 keywords (Bitcoin Up or Down, Ethereum Up or Down, Solana Up or Down, XRP Up or Down) plus get_fast_markets() and get_markets(limit=100) fallback. It applies three gates: spread <= 8% (MAX_SPREAD=0.08), probability outside the 8%/80% bands (YES_THRESHOLD=0.08, NO_THRESHOLD=0.80), and volume >= $500 (MIN_VOLUME=500). Trades that pass all gates get conviction-based sizing from $2 to $10 across up to 20 concurrent micro positions.

Example: A market at p=88% with spread=5%. Spread passes (5% <= 8%). Probability passes (88% >= 80%). Conviction = (0.88 - 0.80) / (1 - 0.80) = 0.40. Size = max($2, 0.40 * $10) = $4. The skill sells NO at $4 -- backing the near-certain YES resolution.

Edge

Tight spread + extreme probability is a market microstructure signal. A market at 90% with a 10% spread means the market maker is uncertain -- the wide spread compensates for directional risk. A market at 90% with a 5% spread means the market maker is confident and willing to offer tight pricing. The tight spread acts as a quality filter separating genuinely near-certain outcomes from noisy extreme prices in illiquid markets.

Two trade types exploit this:

  • Sell NO (p >= 80%): Back the near-certain YES resolution. High win rate, small profit per trade. This is the primary mode.
  • Buy YES (p <= 8%): Rare extreme longshot micro-bet. Very low win rate but payout is 10x+ when it hits. Only triggers at very extreme probabilities.

The portfolio is heavily weighted toward the near-certainty side (high hit rate, consistent small profits). Longshot exposure is minimal (p must be below 8%) to avoid systematic losses from betting on unlikely outcomes.

Signal Logic

  1. Discover active markets via keyword sweep across 4 terms (Bitcoin Up or Down, Ethereum Up or Down, Solana Up or Down, XRP Up or Down) plus get_markets(limit=100) fallback, deduplicated by market id
  2. Spread gate: reject if spread > MAX_SPREAD (0.08 = 8%)
  3. Days gate: reject if days to resolution < MIN_DAYS (0)
  4. Volume gate: reject if volume < MIN_VOLUME ($500)
  5. If p <= YES_THRESHOLD (0.08): buy YES -- conviction = (0.08 - p) / 0.08, size = max($2, conviction * $10)
  6. If p >= NO_THRESHOLD (0.80): sell NO -- conviction = (p - 0.80) / (1 - 0.80), size = max($2, conviction * $10)
  7. Otherwise neutral -- skip
  8. Place up to MAX_POSITIONS (20) micro trades per run

Remix Signal Ideas

  • Multi-timeframe spread check: Verify the spread has been tight for the last N hours, not just a momentary blip -- use historical orderbook snapshots if available
  • Category weighting: Some categories (sports with known outcomes, crypto price milestones already passed) resolve more predictably at extremes -- weight conviction by category
  • Spread trend filter: If spread is tightening over time at extreme probability, it signals increasing market maker confidence -- boost conviction
  • Correlation clustering: When multiple related markets all show tight-spread extremes pointing the same direction, conviction should be higher
  • Time-of-day filter: Spreads tend to be tighter during peak trading hours -- prefer trades placed when liquidity is naturally high

Safety & Execution Mode

The skill defaults to paper trading (venue="sim"). Real trades only with --live flag.

ScenarioModeFinancial risk
python trader.pyPaper (sim)None
Cron / automatonPaper (sim)None
python trader.py --liveLive (polymarket)Real USDC

autostart: false and cron: null mean nothing runs automatically until configured in Simmer UI.

Required Credentials

VariableRequiredNotes
SIMMER_API_KEYYesTrading authority. Treat as a high-value credential.

Tunables (Risk Parameters)

All declared as tunables in clawhub.json and adjustable from the Simmer UI.

VariableDefaultPurpose
SIMMER_MAX_POSITION10Max USDC per micro trade (ceiling at 100% conviction)
SIMMER_MIN_TRADE2Floor for any trade (min USDC regardless of conviction)
SIMMER_MAX_SPREAD0.08Max bid-ask spread (8%) -- the sniper's core filter
SIMMER_MAX_POSITIONS20Max concurrent micro positions
SIMMER_NO_THRESHOLD0.80Sell NO when market probability >= this (extreme high)
SIMMER_YES_THRESHOLD0.00YES longshot threshold (0 = disabled, NO-mode only)
SIMMER_MIN_VOLUME500Min market volume -- ensures spread is meaningful
SIMMER_MIN_DAYS0Min days until resolution (0 = allow imminent markets)

Dependency

simmer-sdk by Simmer Markets (SpartanLabsXyz)

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