← 返回
数据分析 Key 中文

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....
交易Polymarket预测市场,关注电动汽车普及里程碑、光伏/风电装机、核能重启、油价阈值及能源政策事件。
diagnostikon
数据分析 clawhub v0.0.3 2 版本 100000 Key: 需要
★ 0
Stars
📥 688
下载
💾 28
安装
2
版本
#latest

概述

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:

ConditionMultiplierRationale
---------
EV question + Q1 (Jan–Mar)1.20xIEA/BloombergNEF publish prior-year sales totals — biggest data drop of the year
Solar/wind question + Q4 (Oct–Dec)1.20xYear-end installation rush — projects complete before Dec 31, IEA confirms GW additions
Oil/OPEC question + OPEC meeting months (Jun, Dec)1.15xBiannual ministerial meetings — pre-meeting uncertainty is highest
Gas/LNG question + winter peak (Nov–Feb)1.10xNorthern hemisphere demand and storage drawdown window
Off-cycle1.00xNo timing amplification

Factor 2 — Technology Tier Confidence

Technology typeMultiplierWhy
---------
Nuclear restart / SMR approval1.25xRegulatory timelines are public filings — US retail is poorly informed on EU/Asian nuclear policy
OPEC production cut / oil supply1.20xOPEC+ has surprised with cuts 70%+ of the time since 2022 — retail consistently underprices
Solar / wind GW capacity milestones1.20xIEA and IRENA publish confirmed project pipelines — markets underprice published data
EV adoption / market share / sales1.15xIEA monthly data lags Polymarket pricing by 1–2 months; BYD data leads further
Oil price threshold (Brent / WTI)1.10xOPEC+ directional bias documented, but daily volatility adds noise
Natural gas / LNG1.10xEIA weekly storage data is public — seasonal demand patterns predictable
Carbon / net zero policy pledges0.80xGovernment pledges rarely resolve cleanly — ambiguous criteria, retail overprices sincerity
Hydrogen / green hydrogen milestones0.75xPerennial "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.

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_VOLUME5000Min market volume filter (USD)
SIMMER_MAX_SPREAD0.10Max bid-ask spread (10%)
SIMMER_MIN_DAYS7Min days until resolution
SIMMER_MAX_POSITIONS7Max 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 2 个版本

  • v0.0.3 当前
    2026-05-03 04:03 安全 安全
  • v1.0.0
    2026-03-19 21:23 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

data-analysis

Data Analysis

ivangdavila
{"answer":"数据分析与可视化。查询数据库、生成报告、自动化电子表格,将原始数据转化为清晰可行的见解。适用于:(1) 您……"}
★ 198 📥 64,850
data-analysis

Excel / XLSX

ivangdavila
创建、检查和编辑 Microsoft Excel 工作簿及 XLSX 文件,支持可靠的公式、日期、类型、格式、重算及模板保留功能。
★ 366 📥 139,955
data-analysis

A股量化 AkShare

mbpz
A股量化数据分析工具,基于AkShare库获取A股行情、财务数据、板块信息等。用于回答关于A股股票查询、行情数据、财务分析、选股等问题。
★ 162 📥 59,666