generated from coulomb/repo-seed
tegwick
df87e212a2
Ship a specialized profile for trading memoirs and market-structure texts. The profile names eight entity categories (trader, market, strategy, error, psychological_pattern, institution, instrument, evidence_bearing_claim), five relation types (cause_effect, lesson_evidence, risk_mitigation, actor_venue, strategy_outcome), and four evaluation criteria (groundedness, lesson_clarity, historical_context, overgeneralization_risk). Each is reflected in the prompts and contracts so the LLM is steered toward operator-level findings rather than biographical detail or moralising. The generic profile remains the default. A 2-chapter Lefevre smoke run with --profile trading-literature completes end-to-end with viable metrics; 93 tests pass. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
36 lines
1.2 KiB
YAML
36 lines
1.2 KiB
YAML
id: trading-literature
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name: Trading Literature
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description: |
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Infospace generation profile for trading memoirs, market-structure texts,
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and operator narratives. Tunes entity, relation, and evaluation prompts
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for traders, markets, strategies, errors, psychological patterns,
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institutions, instruments, and the lessons drawn from them.
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terminology:
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source_chunk: Chapter or chapter-part of a trading memoir or market-structure text
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entity: Trader, market, strategy, error pattern, psychological habit, institution, instrument, or evidence-bearing claim
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relation: Typed link between two trading-literature entities (cause/effect, lesson/evidence, risk/mitigation, actor/venue, strategy/outcome)
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entity_categories:
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- traders
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- markets
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- strategies
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- errors
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- psychological_patterns
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- institutions
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- instruments
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- evidence_bearing_claims
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relation_categories:
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- cause_effect
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- lesson_evidence
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- risk_mitigation
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- actor_venue
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- strategy_outcome
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granularity:
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default: |
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Prefer durable trading concepts and operator-level lessons over biographical
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detail or stock-price trivia. Each entity should be reusable across chapters.
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evaluation_criteria:
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- groundedness
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- lesson_clarity
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- historical_context
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- overgeneralization_risk
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