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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
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+ license: unknown
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+ tags:
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+ - finance
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+ - stock-market
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+ - trading
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+ - backtesting
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+ - zipline
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+ - ziplime
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+ task_categories:
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+ - time-series-forecasting
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+ size_categories:
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+ - 1K<n<10K
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+
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+ # finance-yahoo-test
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+
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+ **Status: test / placeholder.** This is a scratch dataset used to validate the ziplime → Hugging Face
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+ publishing pipeline (schema, partitioning, `ziplime bundle` ingest). Do not use for research or trading
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+ decisions yet — coverage and update cadence are not finalized.
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+
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+ ## Overview
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+
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+ Daily OHLCV price bars for a small set of US equities, sourced from Yahoo Finance, packaged as a
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+ [ziplime](https://github.com/Limex-com/ziplime) data bundle. This card documents the format ziplime bundles
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+ published on the Hub will follow.
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+
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+ - **Source:** Yahoo Finance (via `yfinance`)
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+ - **Frequency:** daily
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+ - **Format:** Parquet, hive-partitioned
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+ - **Engine:** loadable directly via `ziplime bundle ingest --bundle-name finance-yahoo-test`
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+
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+ ## Schema
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+
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+ | Column | Type | Description |
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+ |---|---|---|
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+ | `symbol` | string | Ticker symbol |
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+ | `date` | date | Trading session date |
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+ | `open` | float64 | Open price |
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+ | `high` | float64 | High price |
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+ | `low` | float64 | Low price |
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+ | `close` | float64 | Close price |
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+ | `volume` | int64 | Volume |
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+
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+ ## How to load
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+
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+ ```python
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+ import polars as pl
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+
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+ df = pl.read_parquet("hf://datasets/ZipLime/finance-yahoo-test/data/*.parquet")
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+ ```
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+
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+ Or via ziplime directly:
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+
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+ ```bash
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+ ziplime bundle ingest --bundle-name finance-yahoo-test --source hf://ZipLime/finance-yahoo-test
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+ ```
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+
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+ ## Coverage
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+
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+ - **Symbols:** [TODO — list or count]
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+ - **Date range:** [TODO]
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+ - **Update schedule:** none yet (static test snapshot)
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+
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+ ## License & source terms
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+
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+ Data sourced from Yahoo Finance for testing purposes. **License TBD** — Yahoo Finance data has usage
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+ restrictions that need review before this dataset is treated as anything beyond an internal test fixture.
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+ Do not redistribute commercially until this is resolved.
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+
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+ ## About ziplime
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+
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+ ziplime is an open-source backtesting engine (successor to Zipline) with native support for point-in-time
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+ datasets. [github.com/Limex-com/ziplime](https://github.com/Limex-com/ziplime)