News Reaction Failure Analyzer

News Reaction Failure Analyzer

Overview

Implements step 2 of Jason Shapiro's COT contrarian process: once a market

is flagged as crowded (cot-contrarian-detector, step 1), check whether it

FAILED to react to news that should have rewarded the crowd. A crowded-long

market that doesn't rally on genuinely bullish news, or a crowded-short

market that doesn't sell off on genuinely bearish news, is the core

behavioral tell that the crowd has run out of buying/selling power — this

is the confirmation step that turns "crowded" into a contrarian setup

candidate (steps 3-5, still manual: price-action confirmation, entry, exit).

Why this isn't a naive failure-ratio check: an earlier design flagged

"news failure" whenever fewer than half the relevant events "responded" —

but under pure noise, roughly 69% of individual events fail to respond by

chance, so that rule would CONFIRM on random noise 48-83% of the time

depending on sample size. This skill instead requires the market to have

moved *significantly against* the crowd's favorable news (a drift-

significance test with a Monte-Carlo-verified null false-positive bound),

never merely "didn't respond enough." See

references/news-failure-patterns.md for the full statistical rationale.

When to Use This Skill

English:

• "Did the market shrug off [event] even though [asset] is crowded long/short?"
• "Run a news-failure check on [symbol]"
• "Is [symbol] confirmed for a Shapiro-style contrarian setup?"
• After cot-contrarian-detector flags a market CROWDED_LONG / CROWDED_SHORT

and the user wants to move to step 2

Japanese:

• 「この市場は好材料に反応しなかった？」
• 「COTで偏っているこの銘柄のニュース失敗を確認して」

Do NOT use when:

• The market isn't crowded (NEUTRAL classification) — this skill refuses

fail-closed without an explicit --direction override

• No curated events JSON exists yet — WebSearch must run first (Phase 2

below); never fabricate events or URLs to get a verdict

Prerequisites

• FMP API Key: Required. Set FMP_API_KEY or pass --api-key. Used

for price data only (stable/historical-price-eod/light) — coverage

varies by symbol; see references/price-source-map.md.

• Python 3.9+ with requests installed.
• WebSearch access to curate the events JSON (Phase 2). Skill degrades

gracefully without it (states the limitation; never fabricates events).

• Optional: a cot-contrarian-detector JSON report (--detector-json)

to auto-resolve symbol + direction, or supply --direction explicitly.

Workflow

Phase 1: Obtain symbol + direction

From a cot-contrarian-detector report (--detector-json, symbol looked

up in markets[]) or directly from the user (--symbol + --direction).

A NEUTRAL classification, a symbol missing from the report, or a report

older than --max-detector-age-days (default 10) all refuse fail-closed

with a specific reason — only an explicit --direction overrides.

Phase 2: Curate the events JSON via WebSearch

Search news in the evaluation window (--window-days, default 10) using

the 4-tier source hierarchy (issuer/primary → SEC/official stats → wire →

portal — see references/news-failure-patterns.md). Write findings into

an events JSON from references/news-failure-patterns.md's template —

event, event_time (ISO8601 with explicit UTC offset), source_url,

source_tier, expected_impact (BULLISH/BEARISH) per event.

Never fabricate events or URLs. WebSearch unavailable → state it

explicitly; proceed without an events JSON only if the user accepts an

INSUFFICIENT_EVIDENCE result (reason no_events_provided) — the CLI

never raises an exception for a missing events file, it always exits 0

with a documented reason.

Phase 3: Run the CLI

python3 skills/news-reaction-failure-analyzer/scripts/analyze_news_reaction.py \
  --symbol B6 --detector-json reports/cot_crowding_2026-07-12.json \
  --events-json reports/nrf_events_B6_2026-07-12.json \
  --output-dir reports/

The script fetches the price series (documented fallback chain — futures

symbol first, ETF proxy if 402/restricted or rows == 0; see

references/price-source-map.md), computes effective dates / returns /

z-scores per event, clusters events whose 3-trading-day windows overlap

(independence guard), and synthesizes the verdict.

Phase 4: Present verdict + handoff

Present the verdict, aggregate stats (drift_stat, responded_ratio), and

the evidence table (per-event returns/z-scores/reaction labels, with any

dropped_events reasons shown — never silently hidden). If a proxy

(run_context.proxy_used) was used, note the tracking-error caveat.

Emit a handoff block for contrarian-setup-gate (#241, not yet built):

{"news_failure": {"verdict": "CONFIRMED", "confidence": "HIGH", "report_path": "reports/nrf_B6_2026-07-12.json"}}

Output

• JSON: reports/nrf_<symbol>_<as-of-date>.json — schema_version,

symbol, direction, expected_direction, actual_reaction

(FAILED_TO_RALLY/FAILED_TO_SELL_OFF/RALLIED/SOLD_OFF/

MIXED_REACTION/NO_DATA), verdict, confidence,

relevant_events_used, aggregate (mean_z3/drift_stat/responded_ratio),

evidence[], dropped_events[], run_context.

• Markdown: reports/nrf_<symbol>_<as-of-date>.md — human-readable

verdict, aggregate stats, evidence table, dropped-events table, proxy

caveat (if used), and methodology footnote.

Guardrails

• CONFIRMED is not a trade signal. It confirms step 2 of 5 — price-

action confirmation (step 3), entry (step 4), and exit (step 5) are still

manual and still required before any position.

• INSUFFICIENT_EVIDENCE never advances the pipeline. Fewer than

--min-events (default 3) usable relevant event *clusters*, a missing

detector report, or a detector vintage (data_date) that's missing,

unparsable, dated after --as-of, or older than

--max-detector-age-days (stale), a NEUTRAL classification without an

explicit override, or no working price source all produce this verdict

— never a crash, never a forced call on inadequate data.

• COT publication lag. COT data is 3-9 days old by the time it's read

(see cot-contrarian-detector); news-failure evidence should be read in

that context, not as same-day confirmation.

• Counter-direction events are context only — shown in the evidence

table but excluded from the verdict (only events whose expected_impact

matches the crowd's expected_direction count).

• Proxy-based prices are noted, not hidden. When an ETF proxy was used

(run_context.proxy_used), the report says so — tracking error, expense

drag, and roll-timing differences make the reaction-direction read

approximate, not exact.

• Residual statistical risk under extreme correlation. The verdict's

null false-CONFIRMED rate is hard-verified under i.i.d. noise (<8%) and

under a realistic residual-correlation stress (AR(1) ρ=0.1, <10%). Under

an intentionally extreme correlation stress (lag-1 ρ=0.3 across

non-clustered event windows — roughly 10x liquid-futures empirical

autocorrelation), the measured null rate rises to ~11-13%. This is a

documented v1 limitation, not a silent gap — see

references/news-failure-patterns.md for the full numbers. Users who

want the stricter <10% margin even under that stress can pass

--drift-z 1.75 (at the cost of missing some genuine news-failure

signals, not just noise).

• Not investment advice. Research/educational purposes only.

Resources

references/news-failure-patterns.md

Full methodology: what qualifies as a relevant event, the 4-tier source

hierarchy, worked examples, the events-JSON curation guide + template, and

the verdict-threshold rationale (why drift-significance, not a naive

ratio; the Monte-Carlo-verified null bounds).

references/price-source-map.md

Per-market price-source fallback chain, verified/402/0-rows status (live-

probed at implementation time), ETF-proxy caveats, and markets with no

viable source (documented no_price_source cases: VX, ZQ, HO, all agri on

this key).

When to Load References

• First use / explaining the methodology: Load

references/news-failure-patterns.md

• Explaining why a market has no verdict (no_price_source): Load

references/price-source-map.md

• Regular execution: References not needed for the CLI itself — needed

for Phase 2 (events curation) and for explaining results to the user