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Publish CFTC COT nightly 2026-05-12

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  1. README.md +0 -14
  2. _manifest.json +1 -1
README.md CHANGED
@@ -4,14 +4,11 @@ pretty_name: Chainticks CFTC COT
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  tags:
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  - finance
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  - crypto
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- - data-analysis
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  - parquet
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  - duckdb
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  - pandas
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  - polars
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  - agent-friendly
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- task_categories:
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- - tabular-regression
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  configs:
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  - config_name: default
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  data_files:
@@ -23,13 +20,6 @@ configs:
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  Normalized CFTC Commitments of Traders legacy futures rows from public-domain CFTC archives.
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- ## Current Scope
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-
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- - **Coverage:** CFTC legacy futures Commitments of Traders rows normalized from public-domain yearly archives.
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- - **Best for:** Macro positioning features, futures crowding studies, and slower-moving cross-asset context.
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- - **Cadence:** append-only partitions, normally refreshed by the Chainticks nightly publisher.
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- - **Timestamps:** UTC ISO-8601 strings when available. Null timestamp fields mean the source event did not include a timestamp at collection time.
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-
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  ```python
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  import pandas as pd
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@@ -52,10 +42,6 @@ LATEST_DATE.txt
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  Rows must have `source_kind` in `['public_domain']`. Chainticks does not publish venue REST/API resale data in this dataset.
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- ## Known Limitations
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-
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- COT data is weekly and delayed. It should be used as positioning context, not intraday execution data.
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-
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  ## Agent Prompt Snippet
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  Use this dataset as append-only market context. Read `LATEST_DATE.txt`, inspect `_schema.json`, then load the relevant Parquet partition. Treat timestamps as UTC and preserve `source_kind` in downstream analysis.
 
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  tags:
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  - finance
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  - crypto
 
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  - parquet
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  - duckdb
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  - pandas
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  - polars
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  - agent-friendly
 
 
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  configs:
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  - config_name: default
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  data_files:
 
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  Normalized CFTC Commitments of Traders legacy futures rows from public-domain CFTC archives.
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  ```python
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  import pandas as pd
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  Rows must have `source_kind` in `['public_domain']`. Chainticks does not publish venue REST/API resale data in this dataset.
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  ## Agent Prompt Snippet
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  Use this dataset as append-only market context. Read `LATEST_DATE.txt`, inspect `_schema.json`, then load the relevant Parquet partition. Treat timestamps as UTC and preserve `source_kind` in downstream analysis.
_manifest.json CHANGED
@@ -20,7 +20,7 @@
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  "legacy_futures/date=2026-04-28/part-0000.parquet",
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  "legacy_futures/date=2026-05-05/part-0000.parquet"
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  ],
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- "generated_at": "2026-05-11T09:41:07.132276+00:00",
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  "public_source_kinds": [
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  "public_domain"
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  ],
 
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  "legacy_futures/date=2026-04-28/part-0000.parquet",
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  "legacy_futures/date=2026-05-05/part-0000.parquet"
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  ],
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+ "generated_at": "2026-05-12T03:55:04.056425+00:00",
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  "public_source_kinds": [
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  "public_domain"
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  ],