Polymarket Energy Transition Trader

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 calendar timing, OPEC meeting windows, and technology tier confidence signals.

Energy Transition Trader

This is a template. The default signal is keyword-based market discovery combined with conviction-based sizing and transition_bias() — remix it with the data sources listed below. The skill handles all the plumbing (market discovery, trade execution, safeguards). Your agent provides the alpha.

Strategy Overview

Energy transition markets mix slow-moving structural trends with sharp data-driven catalysts. Retail traders consistently misprice two things: (1) they ignore the energy data calendar, where professional markets reprice on known release dates and Polymarket lags by days, and (2) they treat all energy sub-sectors as equally uncertain when nuclear regulatory timelines, OPEC cut patterns, and renewable pipeline data have very different predictability levels.

Signal Logic

Default Signal: Conviction-Based Sizing with Energy Transition Bias

1. Discover active energy and transition markets on Polymarket
2. Compute base conviction from distance to threshold (0% at boundary → 100% at p=0/p=1)
3. Apply transition_bias() — combines energy data calendar timing with technology tier confidence
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

Transition Bias (built-in, no API required)

Two compounding structural edges:

Factor 1 — Energy Data Calendar Timing

Each energy sub-sector has a known annual data release rhythm where professional traders have better reads than retail:

Condition	Multiplier	Rationale
EV question + Q1 (Jan–Mar)	1.20x	IEA/BloombergNEF publish prior-year sales totals — biggest data drop of the year
Solar/wind question + Q4 (Oct–Dec)	1.20x	Year-end installation rush — projects complete before Dec 31, IEA confirms GW additions
Oil/OPEC question + OPEC meeting months (Jun, Dec)	1.15x	Biannual ministerial meetings — pre-meeting uncertainty is highest
Gas/LNG question + winter peak (Nov–Feb)	1.10x	Northern hemisphere demand and storage drawdown window
Off-cycle	1.00x	No timing amplification

Factor 2 — Technology Tier Confidence

Technology type	Multiplier	Why
Nuclear restart / SMR approval	1.25x	Regulatory timelines are public filings — US retail is poorly informed on EU/Asian nuclear policy
OPEC production cut / oil supply	1.20x	OPEC+ has surprised with cuts 70%+ of the time since 2022 — retail consistently underprices
Solar / wind GW capacity milestones	1.20x	IEA and IRENA publish confirmed project pipelines — markets underprice published data
EV adoption / market share / sales	1.15x	IEA monthly data lags Polymarket pricing by 1–2 months; BYD data leads further
Oil price threshold (Brent / WTI)	1.10x	OPEC+ directional bias documented, but daily volatility adds noise
Natural gas / LNG	1.10x	EIA weekly storage data is public — seasonal demand patterns predictable
Carbon / net zero policy pledges	0.80x	Government pledges rarely resolve cleanly — ambiguous criteria, retail overprices sincerity
Hydrogen / green hydrogen milestones	0.75x	Perennial "5 years away" technology — retail consistently overprices milestones that slip

Combined and capped at 1.40x. A solar capacity question in Q4 → 1.20 × 1.20 = 1.40x cap — maximum conviction. A hydrogen milestone at any time → 0.75x — trade very conservatively.

Keywords Monitored

electric vehicle, EV, Tesla, BYD, charging station, solar, wind energy,
renewable, nuclear, uranium, oil price, Brent crude, OPEC, energy transition,
battery, grid, power plant, carbon, net zero, IEA, offshore wind, hydrogen,
natural gas, LNG, pipeline, energy storage, gigawatt, capacity, reactor, SMR,
EV adoption, EV sales, energy policy, carbon capture

Remix Signal Ideas

• IEA EV monthly data: Replace market.current_probability with IEA monthly EV sales trajectory to trade the divergence between published data and Polymarket retail pricing
• EIA weekly petroleum report: Oil storage changes as leading indicator for oil price threshold markets — published every Wednesday
• IRENA capacity statistics: Confirmed project pipelines lead "will X GW be installed" market pricing by months
• OPEC press releases: OPEC+ extraordinary meeting announcements — immediate repricing opportunity on oil markets

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	30	Max USDC per trade (reached at 100% conviction)
SIMMER_MIN_VOLUME	5000	Min market volume filter (USD)
SIMMER_MAX_SPREAD	0.10	Max bid-ask spread (10%)
SIMMER_MIN_DAYS	7	Min days until resolution
SIMMER_MAX_POSITIONS	7	Max concurrent open positions
SIMMER_YES_THRESHOLD	0.38	Buy YES if market price ≤ this value
SIMMER_NO_THRESHOLD	0.62	Sell NO if market price ≥ this value
SIMMER_MIN_TRADE	5	Floor 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