run_id: f4732c7504fc workflow_id: generic-source-evaluations status: completed dry_run: false inputs: - name: entity artifact_id: entity/entity-title-bucket-shop.md kind: entity title: 'Entity Title: Bucket Shop' path: artifacts/entities/entity-title-bucket-shop.md slug: entity-title-bucket-shop content: '# Entity Title: Bucket Shop ## Definition A bucket shop is a type of brokerage that allows speculative trading in stocks without actually buying shares. These shops often manipulate market prices to exploit their clients, leading to significant losses for traders. ## Category market ' - name: entity artifact_id: entity/entity-title-sugar.md kind: entity title: 'Entity Title: Sugar' path: artifacts/entities/entity-title-sugar.md slug: entity-title-sugar content: "# Entity Title: Sugar \n## Definition \nA specific stock that traders\ \ engage with, which is central to the narratives involving trading strategies\ \ and market manipulation. \n## Category \ninstrument \n## Context \nSugar\ \ is referenced in the context of a market manipulation scheme executed by bucket\ \ shops. \n## Source Evidence \n\"Henry Williams and I together were short six\ \ thousand shares of Sugar.\" \n\n---\n" - name: entity artifact_id: entity/entity-title-cosmopolitan.md kind: entity title: 'Entity Title: Cosmopolitan' path: artifacts/entities/entity-title-cosmopolitan.md slug: entity-title-cosmopolitan content: '# Entity Title: Cosmopolitan ## Definition The Cosmopolitan is identified as a bucket shop that engaged in manipulative practices, specifically targeting short positions in Sugar by artificially inflating stock prices. ## Category institution ' - name: entity artifact_id: entity/entity-title-market-drive.md kind: entity title: 'Entity Title: Market Drive' path: artifacts/entities/entity-title-market-drive.md slug: entity-title-market-drive content: "# Entity Title: Market Drive \n## Definition \nA tactic employed to\ \ artificially inflate or deflate stock prices in a way that leads to trader losses\ \ and profits for others. \n## Category \nstrategy \n## Context \nRefers to\ \ the strategy used by operators to manipulate stock prices causing losses for\ \ long holders. \n## Source Evidence \n\"whenever there was an unexplained sharp\ \ drop which was followed by instant recovery, the newspapers in those days used\ \ to call it a bucket-shop drive.\" \n\n---\n" - name: entity artifact_id: entity/entity-title-dollar-manipulation.md kind: entity title: 'Entity Title: Dollar Manipulation' path: artifacts/entities/entity-title-dollar-manipulation.md slug: entity-title-dollar-manipulation content: "# Entity Title: Dollar Manipulation \n## Definition \nThe practice of\ \ manipulating stock prices to extract profits from the market, often at the expense\ \ of average investors. \n## Category \nerror \n## Context \nIt underscores\ \ the dangers of participating in manipulative market practices without adequate\ \ knowledge. \n## Source Evidence \n\"Their brokers in New York ran up the price\ \ to 108. Of course it fell right back, but Henry and a lot of others were wiped\ \ out.\" \n\n---\n" - name: entity artifact_id: entity/entity-title-new-york-stock-exchange.md kind: entity title: 'Entity Title: New York Stock Exchange' path: artifacts/entities/entity-title-new-york-stock-exchange.md slug: entity-title-new-york-stock-exchange content: '# Entity Title: New York Stock Exchange ## Definition The New York Stock Exchange (NYSE) is a major stock exchange where trading of stocks occurs, serving as a venue for some of the trading activities mentioned in the context of market manipulation. ## Category market ' - name: entity artifact_id: entity/entity-title-western-union.md kind: entity title: 'Entity Title: Western Union' path: artifacts/entities/entity-title-western-union.md slug: entity-title-western-union content: "# Entity Title: Western Union \n## Definition \nA specific stock favored\ \ for trading due to its liquidity and ease of price manipulation. \n## Category\ \ \ninstrument \n## Context \nReferencing a stock used strategically to execute\ \ manipulative trades benefiting the instigator. \n## Source Evidence \n\"One\ \ of his favorite stocks was Western Union, because it was so easy to move a semiactive\ \ stock like that a few points up or down.\"\n" - name: entity artifact_id: entity/entity-title-sugar-commodity.md kind: entity title: 'Entity Title: Sugar (Commodity)' path: artifacts/entities/entity-title-sugar-commodity.md slug: entity-title-sugar-commodity content: '# Entity Title: Sugar (Commodity) ## Definition Sugar refers to a specific commodity that is traded on the market, in this case, associated with the incident involving Tom and Henry Williams, where their positions were affected by market manipulation. ## Category instrument ' - name: entity artifact_id: entity/entity-title-western-union-stock.md kind: entity title: 'Entity Title: Western Union (Stock)' path: artifacts/entities/entity-title-western-union-stock.md slug: entity-title-western-union-stock content: '# Entity Title: Western Union (Stock) ## Definition Western Union is a stock that was frequently manipulated by traders due to its relative ease of movement within the market, making it a favored target for speculative trading schemes. ## Category instrument ' - name: entity artifact_id: entity/entity-title-bucket-shop-drive.md kind: entity title: 'Entity Title: Bucket-Shop Drive' path: artifacts/entities/entity-title-bucket-shop-drive.md slug: entity-title-bucket-shop-drive content: '# Entity Title: Bucket-Shop Drive ## Definition A bucket-shop drive refers to a situation where the prices of stocks are manipulated downwards in a coordinated effort to force clients who are long on those stocks to incur losses or be wiped out. ## Category strategy ' - name: entity artifact_id: entity/entity-title-market-factor.md kind: entity title: 'Entity Title: Market Factor' path: artifacts/entities/entity-title-market-factor.md slug: entity-title-market-factor content: '# Entity Title: Market Factor ## Definition A market factor is an operator or trader who significantly influences trading conditions or stock prices within the market. In the text, a certain trader is identified as a market factor due to his previous successes in market manipulation. ## Category trader ' - name: entity artifact_id: entity/entity-title-bryan-panic-of-96.md kind: entity title: "Entity Title: Bryan Panic of \u201996" path: artifacts/entities/entity-title-bryan-panic-of-96.md slug: entity-title-bryan-panic-of-96 content: "# Entity Title: Bryan Panic of \u201996\n## Definition\nThe Bryan Panic\ \ of 1896 was a financial crisis characterized by significant volatility and manipulation\ \ in the markets, leading to widespread impact on traders, including those in\ \ bucket shops.\n## Category\nevent\n" - name: entity artifact_id: entity/entity-title-short-position.md kind: entity title: 'Entity Title: Short Position' path: artifacts/entities/entity-title-short-position.md slug: entity-title-short-position content: '# Entity Title: Short Position ## Definition A short position refers to the practice of selling stocks that a trader does not own, with the intention of buying them back at a lower price to profit from the decline. It was a significant factor in the losses suffered by the traders in the context. ## Category strategy ' - name: entity artifact_id: entity/entity-title-bull-tips.md kind: entity title: 'Entity Title: Bull Tips' path: artifacts/entities/entity-title-bull-tips.md slug: entity-title-bull-tips content: '# Entity Title: Bull Tips ## Definition Bull tips are recommendations or information suggesting that a stock''s price will rise, encouraging traders to buy. These were used strategically to influence market movements in the discussed scenario. ## Category evidence_bearing_claim ' stages: - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-bucket-shop.md output_artifact_id: generated/evaluation-entity-title-bucket-shop.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146193-6eewg9bA1MxNRYYTZsa5 usage: prompt_tokens: 401 completion_tokens: 141 total_tokens: 542 cost: 0.00014475 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.00014475 upstream_inference_prompt_cost: 6.015e-05 upstream_inference_completions_cost: 8.46e-05 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 2.813 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-sugar.md output_artifact_id: generated/evaluation-entity-title-sugar.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146197-P8dNeSpFHLjnH032KR33 usage: prompt_tokens: 423 completion_tokens: 157 total_tokens: 580 cost: 0.00015765 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.00015765 upstream_inference_prompt_cost: 6.345e-05 upstream_inference_completions_cost: 9.42e-05 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 3.311 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-cosmopolitan.md output_artifact_id: generated/evaluation-entity-title-cosmopolitan.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146201-14eaLCtdwLrQRNtsl0P0 usage: prompt_tokens: 393 completion_tokens: 139 total_tokens: 532 cost: 0.00014235 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.00014235 upstream_inference_prompt_cost: 5.895e-05 upstream_inference_completions_cost: 8.34e-05 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 3.064 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-market-drive.md output_artifact_id: generated/evaluation-entity-title-market-drive.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146205-YIVaxWEGh2A84PErKtKh usage: prompt_tokens: 447 completion_tokens: 156 total_tokens: 603 cost: 0.00016065 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.00016065 upstream_inference_prompt_cost: 6.705e-05 upstream_inference_completions_cost: 9.36e-05 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 3.273 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-dollar-manipulation.md output_artifact_id: generated/evaluation-entity-title-dollar-manipulation.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146209-Rb1amtJliQTYh9XgfFfz usage: prompt_tokens: 446 completion_tokens: 159 total_tokens: 605 cost: 0.0001623 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.0001623 upstream_inference_prompt_cost: 6.69e-05 upstream_inference_completions_cost: 9.54e-05 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 4.164 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-new-york-stock-exchange.md output_artifact_id: generated/evaluation-entity-title-new-york-stock-exchange.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146215-Brv5ZbIzkc9wxy1jPq6Y usage: prompt_tokens: 408 completion_tokens: 133 total_tokens: 541 cost: 0.000141 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.000141 upstream_inference_prompt_cost: 6.12e-05 upstream_inference_completions_cost: 7.98e-05 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 3.303 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-western-union.md output_artifact_id: generated/evaluation-entity-title-western-union.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146219-BV94C3WtvtYONIkaTvv2 usage: prompt_tokens: 438 completion_tokens: 139 total_tokens: 577 cost: 0.0001491 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.0001491 upstream_inference_prompt_cost: 6.57e-05 upstream_inference_completions_cost: 8.34e-05 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 2.512 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-sugar-commodity.md output_artifact_id: generated/evaluation-entity-title-sugar-commodity.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146223-O0Cl1VuCgEOjNquspWcq usage: prompt_tokens: 403 completion_tokens: 139 total_tokens: 542 cost: 0.00014385 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.00014385 upstream_inference_prompt_cost: 6.045e-05 upstream_inference_completions_cost: 8.34e-05 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 2.67 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-western-union-stock.md output_artifact_id: generated/evaluation-entity-title-western-union-stock.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146227-qpEa5PX9NtsYDREgNRxU usage: prompt_tokens: 402 completion_tokens: 128 total_tokens: 530 cost: 0.0001371 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.0001371 upstream_inference_prompt_cost: 6.03e-05 upstream_inference_completions_cost: 7.68e-05 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 2.507 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-bucket-shop-drive.md output_artifact_id: generated/evaluation-entity-title-bucket-shop-drive.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146230-lIDRlb48UZxhQXnfHxET usage: prompt_tokens: 405 completion_tokens: 178 total_tokens: 583 cost: 0.00016755 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.00016755 upstream_inference_prompt_cost: 6.075e-05 upstream_inference_completions_cost: 0.0001068 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 3.512 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-market-factor.md output_artifact_id: generated/evaluation-entity-title-market-factor.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146234-4sIcU9coqO6qAd4TZe9J usage: prompt_tokens: 406 completion_tokens: 148 total_tokens: 554 cost: 0.0001497 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.0001497 upstream_inference_prompt_cost: 6.09e-05 upstream_inference_completions_cost: 8.88e-05 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 2.937 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-bryan-panic-of-96.md output_artifact_id: generated/evaluation-entity-title-bryan-panic-of-96.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146239-2MYOeqdsEBiVwamUt1OR usage: prompt_tokens: 409 completion_tokens: 197 total_tokens: 606 cost: 0.00017955 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.00017955 upstream_inference_prompt_cost: 6.135e-05 upstream_inference_completions_cost: 0.0001182 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 4.1 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-short-position.md output_artifact_id: generated/evaluation-entity-title-short-position.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146245-yKJ1Zq3dMjrqe8RaZpdL usage: prompt_tokens: 413 completion_tokens: 143 total_tokens: 556 cost: 0.00014775 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.00014775 upstream_inference_prompt_cost: 6.195e-05 upstream_inference_completions_cost: 8.58e-05 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 3.921 - stage_id: evaluate-entity kind: assisted status: completed input_artifact_id: entity/entity-title-bull-tips.md output_artifact_id: generated/evaluation-entity-title-bull-tips.md provider: openrouter metadata: model: openai/gpt-4o-mini request_id: gen-1779146249-h4eDeyh9ejilKIZi7gR5 usage: prompt_tokens: 402 completion_tokens: 168 total_tokens: 570 cost: 0.0001611 is_byok: false prompt_tokens_details: cached_tokens: 0 cache_write_tokens: 0 audio_tokens: 0 video_tokens: 0 cost_details: upstream_inference_cost: 0.0001611 upstream_inference_prompt_cost: 6.03e-05 upstream_inference_completions_cost: 0.0001008 completion_tokens_details: reasoning_tokens: 0 image_tokens: 0 audio_tokens: 0 retry_count: 0 duration_seconds: 3.464 outputs: - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-bucket-shop.md path: output/evaluations/entity-title-bucket-shop.md kind: generated title: 'Entity Title: Bucket Shop Evaluation' input_artifact_id: entity/entity-title-bucket-shop.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-sugar.md path: output/evaluations/entity-title-sugar.md kind: generated title: 'Entity Title: Sugar Evaluation' input_artifact_id: entity/entity-title-sugar.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-cosmopolitan.md path: output/evaluations/entity-title-cosmopolitan.md kind: generated title: 'Entity Title: Cosmopolitan Evaluation' input_artifact_id: entity/entity-title-cosmopolitan.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-market-drive.md path: output/evaluations/entity-title-market-drive.md kind: generated title: 'Entity Title: Market Drive Evaluation' input_artifact_id: entity/entity-title-market-drive.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-dollar-manipulation.md path: output/evaluations/entity-title-dollar-manipulation.md kind: generated title: 'Entity Title: Dollar Manipulation Evaluation' input_artifact_id: entity/entity-title-dollar-manipulation.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-new-york-stock-exchange.md path: output/evaluations/entity-title-new-york-stock-exchange.md kind: generated title: 'Entity Title: New York Stock Exchange Evaluation' input_artifact_id: entity/entity-title-new-york-stock-exchange.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-western-union.md path: output/evaluations/entity-title-western-union.md kind: generated title: 'Entity Title: Western Union Evaluation' input_artifact_id: entity/entity-title-western-union.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-sugar-commodity.md path: output/evaluations/entity-title-sugar-commodity.md kind: generated title: 'Entity Title: Sugar (Commodity) Evaluation' input_artifact_id: entity/entity-title-sugar-commodity.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-western-union-stock.md path: output/evaluations/entity-title-western-union-stock.md kind: generated title: 'Entity Title: Western Union (Stock) Evaluation' input_artifact_id: entity/entity-title-western-union-stock.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-bucket-shop-drive.md path: output/evaluations/entity-title-bucket-shop-drive.md kind: generated title: 'Entity Title: Bucket-Shop Drive Evaluation' input_artifact_id: entity/entity-title-bucket-shop-drive.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-market-factor.md path: output/evaluations/entity-title-market-factor.md kind: generated title: 'Entity Title: Market Factor Evaluation' input_artifact_id: entity/entity-title-market-factor.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-bryan-panic-of-96.md path: output/evaluations/entity-title-bryan-panic-of-96.md kind: generated title: "Entity Title: Bryan Panic of \u201996 Evaluation" input_artifact_id: entity/entity-title-bryan-panic-of-96.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-short-position.md path: output/evaluations/entity-title-short-position.md kind: generated title: 'Entity Title: Short Position Evaluation' input_artifact_id: entity/entity-title-short-position.md written: true - stage_id: evaluate-entity artifact_id: generated/evaluation-entity-title-bull-tips.md path: output/evaluations/entity-title-bull-tips.md kind: generated title: 'Entity Title: Bull Tips Evaluation' input_artifact_id: entity/entity-title-bull-tips.md written: true assisted_requests: - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-bucket-shop.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-bucket-shop.md\n\ Entity title: Entity Title: Bucket Shop\n\n## Entity\n\n# Entity Title: Bucket\ \ Shop\n## Definition\nA bucket shop is a type of brokerage that allows speculative\ \ trading in stocks without actually buying shares. These shops often manipulate\ \ market prices to exploit their clients, leading to significant losses for traders.\n\ ## Category\nmarket\n\n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-sugar.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-sugar.md\n\ Entity title: Entity Title: Sugar\n\n## Entity\n\n# Entity Title: Sugar \n##\ \ Definition \nA specific stock that traders engage with, which is central to\ \ the narratives involving trading strategies and market manipulation. \n## Category\ \ \ninstrument \n## Context \nSugar is referenced in the context of a market\ \ manipulation scheme executed by bucket shops. \n## Source Evidence \n\"Henry\ \ Williams and I together were short six thousand shares of Sugar.\" \n\n---\n\ \n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-cosmopolitan.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-cosmopolitan.md\n\ Entity title: Entity Title: Cosmopolitan\n\n## Entity\n\n# Entity Title: Cosmopolitan\n\ ## Definition\nThe Cosmopolitan is identified as a bucket shop that engaged in\ \ manipulative practices, specifically targeting short positions in Sugar by artificially\ \ inflating stock prices.\n## Category\ninstitution\n\n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-market-drive.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-market-drive.md\n\ Entity title: Entity Title: Market Drive\n\n## Entity\n\n# Entity Title: Market\ \ Drive \n## Definition \nA tactic employed to artificially inflate or deflate\ \ stock prices in a way that leads to trader losses and profits for others. \n\ ## Category \nstrategy \n## Context \nRefers to the strategy used by operators\ \ to manipulate stock prices causing losses for long holders. \n## Source Evidence\ \ \n\"whenever there was an unexplained sharp drop which was followed by instant\ \ recovery, the newspapers in those days used to call it a bucket-shop drive.\"\ \ \n\n---\n\n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-dollar-manipulation.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-dollar-manipulation.md\n\ Entity title: Entity Title: Dollar Manipulation\n\n## Entity\n\n# Entity Title:\ \ Dollar Manipulation \n## Definition \nThe practice of manipulating stock prices\ \ to extract profits from the market, often at the expense of average investors.\ \ \n## Category \nerror \n## Context \nIt underscores the dangers of participating\ \ in manipulative market practices without adequate knowledge. \n## Source Evidence\ \ \n\"Their brokers in New York ran up the price to 108. Of course it fell right\ \ back, but Henry and a lot of others were wiped out.\" \n\n---\n\n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-new-york-stock-exchange.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-new-york-stock-exchange.md\n\ Entity title: Entity Title: New York Stock Exchange\n\n## Entity\n\n# Entity Title:\ \ New York Stock Exchange\n## Definition\nThe New York Stock Exchange (NYSE) is\ \ a major stock exchange where trading of stocks occurs, serving as a venue for\ \ some of the trading activities mentioned in the context of market manipulation.\n\ ## Category\nmarket\n\n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-western-union.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-western-union.md\n\ Entity title: Entity Title: Western Union\n\n## Entity\n\n# Entity Title: Western\ \ Union \n## Definition \nA specific stock favored for trading due to its liquidity\ \ and ease of price manipulation. \n## Category \ninstrument \n## Context \ \ \nReferencing a stock used strategically to execute manipulative trades benefiting\ \ the instigator. \n## Source Evidence \n\"One of his favorite stocks was Western\ \ Union, because it was so easy to move a semiactive stock like that a few points\ \ up or down.\"\n\n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-sugar-commodity.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-sugar-commodity.md\n\ Entity title: Entity Title: Sugar (Commodity)\n\n## Entity\n\n# Entity Title:\ \ Sugar (Commodity)\n## Definition\nSugar refers to a specific commodity that\ \ is traded on the market, in this case, associated with the incident involving\ \ Tom and Henry Williams, where their positions were affected by market manipulation.\n\ ## Category\ninstrument\n\n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-western-union-stock.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-western-union-stock.md\n\ Entity title: Entity Title: Western Union (Stock)\n\n## Entity\n\n# Entity Title:\ \ Western Union (Stock)\n## Definition\nWestern Union is a stock that was frequently\ \ manipulated by traders due to its relative ease of movement within the market,\ \ making it a favored target for speculative trading schemes.\n## Category\ninstrument\n\ \n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-bucket-shop-drive.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-bucket-shop-drive.md\n\ Entity title: Entity Title: Bucket-Shop Drive\n\n## Entity\n\n# Entity Title:\ \ Bucket-Shop Drive\n## Definition\nA bucket-shop drive refers to a situation\ \ where the prices of stocks are manipulated downwards in a coordinated effort\ \ to force clients who are long on those stocks to incur losses or be wiped out.\n\ ## Category\nstrategy\n\n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-market-factor.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-market-factor.md\n\ Entity title: Entity Title: Market Factor\n\n## Entity\n\n# Entity Title: Market\ \ Factor\n## Definition\nA market factor is an operator or trader who significantly\ \ influences trading conditions or stock prices within the market. In the text,\ \ a certain trader is identified as a market factor due to his previous successes\ \ in market manipulation.\n## Category\ntrader\n\n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-bryan-panic-of-96.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-bryan-panic-of-96.md\n\ Entity title: Entity Title: Bryan Panic of \u201996\n\n## Entity\n\n# Entity Title:\ \ Bryan Panic of \u201996\n## Definition\nThe Bryan Panic of 1896 was a financial\ \ crisis characterized by significant volatility and manipulation in the markets,\ \ leading to widespread impact on traders, including those in bucket shops.\n\ ## Category\nevent\n\n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-short-position.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-short-position.md\n\ Entity title: Entity Title: Short Position\n\n## Entity\n\n# Entity Title: Short\ \ Position\n## Definition\nA short position refers to the practice of selling\ \ stocks that a trader does not own, with the intention of buying them back at\ \ a lower price to profit from the decline. It was a significant factor in the\ \ losses suffered by the traders in the context.\n## Category\nstrategy\n\n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' - stage_id: evaluate-entity workflow_id: generic-source-evaluations input_artifact_id: entity/entity-title-bull-tips.md prompt: "# Evaluate Trading-Literature Entity\n\nProfile: trading-literature\n\n\ Evaluate the generated entity as Markdown with YAML frontmatter. Include\n`artifact_id`,\ \ `evaluator`, `evaluated_at`, and a `scores` list. Score\neach criterion on a\ \ 0 to 5 scale where 5 is best.\n\nRequired score names:\n\n- `groundedness` \u2014\ \ does the entity stay anchored to the source chunk,\n with no invented dates,\ \ dollar figures, or quotes?\n- `lesson_clarity` \u2014 for `strategy`, `error`,\ \ `psychological_pattern`,\n and `evidence_bearing_claim` entities, is the operator-level\ \ lesson\n stated crisply enough to be reused in later chapters? For purely\n\ \ factual entities (trader, market, institution, instrument), score\n this on\ \ the clarity of the definition.\n- `historical_context` \u2014 is the entity\ \ placed correctly in the era and\n venue of the source (e.g. early-1900s American\ \ equities) without\n importing modern terminology or instruments?\n- `overgeneralization_risk`\ \ \u2014 is the entity scoped narrowly enough to\n resist becoming a vague universal\ \ claim? Higher score means lower\n risk. Flag entities that quietly claim to\ \ apply to all markets or\n all operators when the source restricts the claim.\n\ \nAdd a short `## Review Notes` section listing any specific lines from\nthe entity\ \ body that drove a low score on any criterion.\n\nEntity artifact: entity/entity-title-bull-tips.md\n\ Entity title: Entity Title: Bull Tips\n\n## Entity\n\n# Entity Title: Bull Tips\n\ ## Definition\nBull tips are recommendations or information suggesting that a\ \ stock's price will rise, encouraging traders to buy. These were used strategically\ \ to influence market movements in the discussed scenario.\n## Category\nevidence_bearing_claim\n\ \n" provider_hint: openrouter metadata: output: path: output/evaluations/{{ input.slug }}.md kind: generated artifact_id: generated/evaluation-{{ input.slug }}.md title: '{{ input.title }} Evaluation' recorded_at: '2026-05-18T23:17:34.947476+00:00'