backtest-expert
Expert guidance for systematic backtesting of trading strategies. Use when developing,…
Synthesize the three Jason Shapiro contrarian-pipeline verdicts (COT crowding, news-reaction failure, weekly price-action confirmation) into one actionable setup_status via a fail-closed precedence state machine. Pure, offline synthesis -- no network, no API keys, no computation
$ npx -y skills add tradermonty/claude-trading-skills --skill contrarian-setup-gate --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/contrarian-setup-gateContext preview
The summary Claude sees to decide when to auto-load this skill.
Synthesize the three Jason Shapiro contrarian-pipeline verdicts (COT crowding, news-reaction failure, weekly price-action confirmation) into one actionable setup_status via a fail-closed precedence state machine. Pure, offline synthesis -- no network, no API keys, no computation
name: contrarian-setup-gate description: Synthesize the three Jason Shapiro contrarian-pipeline verdicts (COT crowding, news-reaction failure, weekly price-action confirmation) into one actionable setup_status via a fail-closed precedence state machine. Pure, offline synthesis -- no network, no API keys, no computation beyond validation and precedence.
Synthesize the outputs of Jason Shapiro's 3-step contrarian process into one actionable state. cot-contrarian-detector (step 1) flags crowded positioning, news-reaction-failure-analyzer (step 2) tests whether the market failed to react to news favorable to the crowd, and technical-analyst's contrarian-confirmation mode (step 3) confirms weekly price-action evidence of a reversal. This gate reads those three report JSONs and applies an explicit, exhaustively-tested precedence rule set to produce one `setup_status`, with a fail-closed reason attached to every input that could not be confirmed.
The gate does no fetching, no API calls, and no computation beyond validating and combining the three inputs it is given. It is the pipeline's synthesis center, not a data source.
python3 skills/contrarian-setup-gate/scripts/run_contrarian_setup_gate.py \ --symbol B6 \ --detector-json reports/cot_crowding_2026-07-12.json \ --news-json reports/nrf_B6_2026-07-12.json \ --price-action-json reports/ta_confirmation_B6_2026-07-12.json \ --as-of 2026-07-15 \ --output-dir reports/
`--symbol` and `--detector-json` are required; `--news-json` and `--price-action-json` are optional -- omit either to see the state at that pipeline stage. `--as-of` is required (no implicit "today"): staleness is always evaluated against an explicit reference date so reruns are deterministic.
Exit behavior is intentionally asymmetric: a missing or malformed `--as-of` (or any other CLI usage error) is an operator config mistake, so the CLI exits `2` with usage text and writes no report. A problem with one of the three untrusted report files -- unreadable, malformed, stale, inconsistent -- is always handled fail-closed instead: the CLI exits `0` and writes a report naming the reason, exactly like every other skill in this pipeline.
| Status | Meaning | Next Step | |---|---|---| | `READY_FOR_PLAN` | All three steps confirmed; direction, entry_trigger, and invalidation_level are populated | Hand `direction` and `invalidation_level` to a position-sizing skill | | `WATCHING_PRICE` | Crowding + news confirmed; price action still pending | Run technical-analyst's contrarian-confirmation mode | | `CROWDED` | Crowding confirmed; news and/or price still pending | Run news-reaction-failure-analyzer | | `REJECTED` | Crowding is NOT_CONFIRMED (classification NEUTRAL), or news/price came back NOT_CONFIRMED | Stop -- do not run further steps for this symbol/direction | | `INSUFFICIENT_EVIDENCE` | A required input is missing, unreadable, stale, inconsistent, or could not itself reach a verdict | Stop -- fix or regenerate the named input before rerunning |
`missing_confirmations` lists every step still blocking, with its `state` and `reason`. `warnings` never change the status -- they flag audit-worthy conditions such as a MEDIUM-confidence confirming signal or a near-stale input.
At `READY_FOR_PLAN`, `direction` (SHORT/LONG, the fade side of the crowd), `entry_trigger` (a factual echo of the confirming weekly signal), and `invalidation_level` (the stop reference from the price-action report) are populated. `gate_confidence` is the weaker of the news and price-action confidences (HIGH/MEDIUM/LOW -- `LOW` is a token both upstream skills document as reserved but never actually emit; the gate accepts it and ranks it weakest rather than rejecting it as unknown). Position sizing is the next pipeline stage (not yet built as of this skill's release -- see the roadmap in the repository's workflow docs); this gate never places or recommends an order.
Each step is evaluated in strict pipeline order -- crowding, then news, then price-action -- and each step fully settles before the next step's file is even consulted. An earlier step's definitive verdict is never softened by a later step's problem.
1. Crowding is evaluated first and exclusively: INVALID/INSUFFICIENT crowding is always `INSUFFICIENT_EVIDENCE`; a NOT_CONFIRMED (NEUTRAL) classification is always `REJECTED`, regardless of any downstream file's state or corruption. 2. With crowding CONFIRMED, news is evaluated next, on its own: INVALID (unreadable, malformed, stale, symbol mismatch, direction mismatch, unsupported schema) forces `INSUFFICIENT_EVIDENCE`; NOT_CONFIRMED forces `REJECTED`; INSUFFICIENT forces `INSUFFICIENT_EVIDENCE` -- in every one of these cases, price-action is never even inspected for the decision. 3. Once news is CONFIRMED (or PENDING, for out-of-order use), price-action is evaluated last, with the same four-way settlement. Running price-action before news (out-of-order p
Claude Trading Skills started as a personal project to use AI to improve my own trading process. Claude Trading Skills is a Claude Skills-based trading workflow toolkit for time-constrained individual investors.
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