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Polymarket Legal Regulatory Trader

Trades Polymarket prediction markets on landmark court cases, antitrust rulings, SEC enforcement actions, EU regulatory decisions, and DOJ investigations. Us...
在Polymarket预测市场交易标志性法院案件、反垄断裁决、SEC执法行动、欧盟监管决定以及DOJ调查的预测。
diagnostikon
安全合规 clawhub v0.0.3 3 版本 100000 Key: 需要
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概述

Legal & Regulatory Trader

> This is a template.

> The default signal is keyword-based market discovery combined with probability-extreme detection — remix it with the data sources listed in the Edge Thesis below.

> The skill handles all the plumbing (market discovery, trade execution, safeguards). Your agent provides the alpha.

Strategy Overview

Legal prediction markets have enormous information asymmetry — most Polymarket retail participants don't read court filings or understand regulatory procedure. They price criminal convictions as coin flips when the actual DOJ conviction rate is ~97%. This skill encodes documented institutional base rates directly into conviction sizing.

Signal Logic

Default Signal: Conviction-Based Sizing with Precedent Bias

  1. Discover active legal and regulatory markets on Polymarket
  2. Compute base conviction from distance to threshold (0% at boundary → 100% at p=0/p=1)
  3. Apply precedent_bias() — multiplier based on documented legal/regulatory outcome statistics
  4. Size = max(MIN_TRADE, conviction × bias × MAX_POSITION) — capped at MAX_POSITION
  5. Skip markets with spread > MAX_SPREAD or fewer than MIN_DAYS to resolution

Precedent Bias (built-in, no API required)

Retail prices legal outcomes as coin flips. precedent_bias() corrects this using documented historical statistics:

Action typeHistorical rateMultiplier
---------
DOJ criminal conviction (post-indictment)~97% plea/conviction1.35x
Class action settlement~90%+ settle before trial1.25x
SEC enforcement (post-Wells Notice)~85% result in formal action1.20x
EU Phase 2 antitrust outcome~80%+ conditions or fine1.20x
SCOTUS reversal (cert granted)~70% reverse lower court1.15x
Crypto enforcement (post-charges)High after formal charges1.15x
Big tech merger blocked (FTC/DOJ)~40–60%, rising trend1.10x
Regulatory approval / clearanceHarder to time0.80x

Example: "Will X be convicted?" market at 25% after indictment → conviction 34% × 1.35x = 46% → $14. Retail prices this at 25%; base rate says 97%. That's the edge.

Why These Base Rates Hold

  • DOJ plea rate: Federal prosecutors only indict when they have ~overwhelming evidence — they win 97%+ of cases taken to trial or plea
  • EU Phase 2: The EC procedural calendar is legally defined — opening Phase 2 is a strong signal of serious concerns
  • SCOTUS cert: The Court takes cases primarily to correct errors — ~70% reversal is a documented statistical pattern
  • Class action: Discovery costs and litigation risk make settlement the rational outcome in ~90%+ of cases

Remix Signal Ideas

  • CourtListener API: Free PACER docket API — monitor filing velocity as leading indicator before markets react
  • SEC EDGAR enforcement: Track Wells Notice dates to anticipate formal action timing (avg 4–6 months)
  • EU Competition docket: Phase 2 opening date + 13 months = almost exact closing date
  • Courtroom View Network: Live trial feeds for real-time signal on verdict direction

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 — nothing runs automatically until you configure it in Simmer UI.

Required Credentials

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

Tunables (Risk Parameters)

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

VariableDefaultPurpose
---------
SIMMER_MAX_POSITION30Max USDC per trade (reached at 100% conviction)
SIMMER_MIN_VOLUME8000Min market volume filter (USD)
SIMMER_MAX_SPREAD0.10Max bid-ask spread (10%)
SIMMER_MIN_DAYS7Min days until resolution
SIMMER_MAX_POSITIONS5Max concurrent open positions
SIMMER_YES_THRESHOLD0.38Buy YES if market price ≤ this value
SIMMER_NO_THRESHOLD0.62Sell NO if market price ≥ this value
SIMMER_MIN_TRADE5Floor for any trade (min USDC regardless of conviction)

Dependency

simmer-sdk by Simmer Markets (SpartanLabsXyz)

  • PyPI: https://pypi.org/project/simmer-sdk/
  • GitHub: https://github.com/SpartanLabsXyz/simmer-sdk

版本历史

共 3 个版本

  • v0.0.3 当前
    2026-05-03 04:27 安全 安全
  • v1.0.2
    2026-03-30 04:27 安全 安全
  • v1.0.1
    2026-03-20 00:24

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

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