🧪 Skills

Energy Transition Trader

Trades Polymarket prediction markets on EV adoption milestones, solar/wind capacity, nuclear energy restarts, oil price thresholds, and energy policy events....

v1.0.0
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Description


name: polymarket-energy-transition-trader description: Trades Polymarket prediction markets on EV adoption milestones, solar/wind capacity, nuclear energy restarts, oil price thresholds, and energy policy events. Use when you want to capture alpha on the energy transition using IEA data, utility filings, and commodity futures signals. metadata: author: Diagnostikon version: "1.0" displayName: Energy Transition Trader difficulty: intermediate

Energy Transition 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

IEA monthly data vs market-implied adoption rates. Remix: EIA weekly petroleum report, IEA Oil Market Report, BloombergNEF energy transition data, IRENA capacity statistics.

Edge Thesis

Energy markets combine slow-moving structural trends with sharp policy-driven catalysts:

  • EV adoption curve: IEA publishes monthly EV sales data. When markets price EV milestone probabilities, they frequently lag IEA's published trajectory by 1–2 months
  • OPEC surprise cuts: OPEC+ meeting outcomes are systematically underpriced in oil threshold markets — the organisation has surprised markets with cuts 70%+ of the time since 2022
  • Nuclear restart markets: European nuclear restart timelines are public knowledge from regulatory filings but US retail is poorly informed on European energy policy
  • Solar capacity: IEA and IRENA publish quarterly capacity additions. Markets on "will X GW be installed by Y" frequently underprice given published pipeline data

Remix Signal Ideas

Safety & Execution Mode

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

Scenario Mode Financial risk
python trader.py Paper (sim) None
Cron / automaton Paper (sim) None
python trader.py --live Live (polymarket) Real USDC

autostart: false and cron: null — nothing runs automatically until you configure it in Simmer UI.

Required Credentials

Variable Required Notes
SIMMER_API_KEY Yes Trading authority. Treat as high-value credential.

Tunables (Risk Parameters)

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

Variable Default Purpose
SIMMER_MAX_POSITION See clawhub.json Max USDC per trade
SIMMER_MIN_VOLUME See clawhub.json Min market volume filter
SIMMER_MAX_SPREAD See clawhub.json Max bid-ask spread
SIMMER_MIN_DAYS See clawhub.json Min days until resolution
SIMMER_MAX_POSITIONS See clawhub.json Max concurrent open positions

Dependency

simmer-sdk by Simmer Markets (SpartanLabsXyz)

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Compatible Platforms

Pricing

Free

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