Expected environment setup
python -m pip install -e ".[dev]"Observed in .github/workflows/ci.yml:L32
Native source materials / 29 indexed
Native lessons and source materials
This index links to repository-authored course records, examples, tutorials, and technical reading. The separate browser lab is an educational surrogate; its sliders and checkpoints do not execute this repository's native engine.
Current audited native source: 648480d5c2fcbfbbd94f4e606f3f896352b1f7b6
Browser-lab provenance from the reconciled package: package source revision 090c28970f1a6c6f3032aaa4cf086e0d475a84da. This is separate from the current native source revision above.
Source-defined reproduction commands
These exact one-line commands were observed in the audited repository workflow records and link to their source location. Expected setup, tool licensing, data, and environment vary by repository; the dashboard does not execute these commands or promise a completion time.
Source-defined validation command
python -m ruff check src testsObserved in .github/workflows/ci.yml:L35
Source-defined validation command
python -m ruff format --check src testsObserved in .github/workflows/ci.yml:L38
Search the native catalog
29 materials
Question / topology
Cloudflare browser edition
Public overview: <https://mktrade.co.business/>
docs/CLOUDFLARE.md
Internal readiness score: ZephyrTrade
Assessed 2026-09-30 using the same seven weights for all 37 projects. This is an editorial QA prioritization rubric, not a calibrated metric, external rating or promise of adoption.
docs/CHAMPION_SCORE.md
Useful contribution quests for ZephyrTrade
These are contribution proposals, not rewards for stars. Check existing issues before starting.
docs/CHAMPION_QUESTS.md
ZephyrTrade: awesome-list research
Checked live GitHub metadata on 2026-09-30. Ten existing lists were investigated; this is a screening log, not ten claims of eligibility. No PR was submitted. Relevance and current contribution rules take priority over filling a quota.
docs/promotion/AWESOME_LIST_TARGETS.md
ZephyrTrade: community teaching draft
Candidate communities: r/webdev for implementation discussion; r/opensource for source review; r/Python for numerical Python methods.
docs/promotion/REDDIT_LAUNCH.md
ZephyrTrade: conditional launch calendar
T−7: complete current checks and source/rights review; inspect first-run demo.
docs/promotion/LAUNCH_CALENDAR.md
ZephyrTrade: growth experiments
Stars are an aspiration, not a guaranteed outcome. No current metric is asserted here.
docs/promotion/GROWTH_EXPERIMENTS.md
ZephyrTrade: LinkedIn drafts
Not posted.
docs/promotion/LINKEDIN_LAUNCH.md
ZephyrTrade: newsletter and publisher pitch drafts
Promotion hold: Current readiness score 85/100 is below the 90/100 gate. These drafts remain unsent. Confirm public access, current editorial rules and project-specific fit before any submission.
docs/promotion/NEWSLETTER_OUTREACH.md
ZephyrTrade: press kit
Name: ZephyrTrade
docs/promotion/PRESS_KIT.md
ZephyrTrade: shots
1440×1000 overview with demo label.
docs/demo/SHOT_LIST.md
ZephyrTrade: Show HN draft
Selected title: Show HN: ZephyrTrade — an inspectable local demo
docs/promotion/HACKER_NEWS_LAUNCH.md
ZephyrTrade: technical thread draft
Not posted.
docs/promotion/X_LAUNCH.md
Equations / provenance
ZephyrTrade: ML-Driven Wind Energy Market Optimizer
Market area: Bornholm, DK2
docs/report.md
Reproduce / parameters
README CTA alternatives
If ZephyrTrade helps you study this workflow, a star helps other wind-market and numerical-method researchers find it.
docs/promotion/README_CTA_OPTIONS.md
ZephyrTrade: community outreach
Start with existing repository issues after public release. Discuss one concrete workflow with wind-market and numerical-method researchers. Use an existing authenticated account and follow the receiving community’s current rules. No Discord, Slack, research affiliation or domain partnership is invented.
docs/promotion/COMMUNITY_OUTREACH.md
Verification / output
45-second ZephyrTrade demo
0–8s: Show the title and synthetic-data label. Explain: Research application that generates synthetic wind/weather/price tables, compares wind-forecast and direct-offer strategies, backtests revenue and explores hypothetical offers without placing trades.
docs/demo/DEMO_SCRIPT.md
Evidence log — ZephyrTrade Champion 1.1.0
All execution took place in the isolated Linux environment described in
docs/champion/EVIDENCE_LOG.md
Normal-browser acceptance and controlled-release checklist
Status: NOT RUN by human participants. This is a runnable acceptance script,
docs/champion/UAT_AND_RELEASE_CHECKLIST.md
ZephyrTrade Champion — audit, verification and release handoff
Candidate: 1.1.0, local research only. Prepared: 28 September 2026.
docs/champion/AUDIT_AND_RELEASE.md
ZephyrTrade: launch strategy
Audience: wind-market and numerical-method researchers. Positioning: Research application that generates synthetic wind/weather/price tables, compares wind-forecast and direct-offer strategies, backtests revenue and explores hypothetical offers without placing trades.
docs/promotion/LAUNCH_STRATEGY.md
ZephyrTrade: voiceover draft
Research application that generates synthetic wind/weather/price tables, compares wind-forecast and direct-offer strategies, backtests revenue and explores hypothetical offers without placing trades. The example runs locally. Start from the README, open a supplied record, and inspect what is known, what is synthetic, and what stays on the device. The source and tests let you inspect the…
docs/demo/VOICEOVER.md
Scope / limitations
Alternatives and adjacent tools: ZephyrTrade
ZephyrTrade generates synthetic wind, weather and price tables, compares forecast and direct-offer strategies, and reconciles hypothetical revenue. Its Python and browser engines expose the assumptions so a researcher can inspect numerical agreement instead of relying on a dashboard alone.
docs/ALTERNATIVES.md
Checking forecast quality and offer revenue separately
ZephyrTrade generates synthetic wind, weather and price tables, compares forecast and direct-offer strategies, and reconciles hypothetical revenue. Its Python and browser engines expose the assumptions so a researcher can inspect numerical agreement instead of relying on a dashboard alone.
docs/engineering/CASE_STUDY.md
Checking forecast quality and offer revenue separately
ZephyrTrade generates synthetic wind, weather and price tables, compares forecast and direct-offer strategies, and reconciles hypothetical revenue. Its Python and browser engines expose the assumptions so a researcher can inspect numerical agreement instead of relying on a dashboard alone.
docs/promotion/DEVTO_ARTICLE.md
Three boundaries in ZephyrTrade
ZephyrTrade generates synthetic wind, weather and price tables, compares forecast and direct-offer strategies, and reconciles hypothetical revenue. Its Python and browser engines expose the assumptions so a researcher can inspect numerical agreement instead of relying on a dashboard alone.
docs/promotion/HASHNODE_ARTICLE.md
ZephyrTrade
Open the public browser app · Purpose, usage and limits · Methodology · Build and deployment guide
README.md
ZephyrTrade visual identity
Repository accent: #ffc078. Shared background: #0c1923; text: #f7fafc; secondary text: #c6d4dc. Keep the supplied application palette and functional status labels. Diagrams use labeled boxes and arrows, never color alone. Social assets identify the synthetic/demo scope; screenshots are actual rendered app states. Editable SVG sources accompany the PNG preview.
docs/repository/VISUAL_IDENTITY.md
ZephyrTrade: data and rule boundaries
ZephyrTrade generates synthetic wind, weather and price tables, compares forecast and direct-offer strategies, and reconciles hypothetical revenue. Its Python and browser engines expose the assumptions so a researcher can inspect numerical agreement instead of relying on a dashboard alone.
docs/architecture/system-overview.md