agentsclimarketplace

Market research calibration

Skill w3rdist-creator/agent-intelligence-economy/skills/market-research-calibration

Obsidian + Hermes agent intelligence economy kit: clippings harvest, skill optimization, token efficiency, verification, loop scoring.

Install
npx -y skills add w3rdist-creator/agent-intelligence-economy --skill market-research-calibration

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use public market-history data for research-only calibration, regime analysis, thesis review, and non-trade learning without live execution.

SKILL.md

1.0 KB, 172 tokens by cl100k_base, as published. Nobody here has run it

Market Research Calibration

Use when analyzing market history, market regimes, index drawdowns, or paper-only thesis reviews.

Rules

  1. Read source-of-record data first, not narrative memory.
  2. Separate index price history from total-return history.
  3. Treat analogies as hypotheses, not forecasts.
  4. Include a falsifier and non-trade option for every thesis.
  5. Prefer paper/calibration outputs over execution outputs.
  6. No live trading, broker actions, wallet actions, or copy-trading.

Starter data

The starter vault includes annual S&P 500 index history under:

starter-vault/Market Research/Data/sp500_annual_history.csv

Use it for base rates, drawdown questions, and regime prompts. Upgrade it with total-return, CPI, rates, earnings, and recession overlays before making stronger claims.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.