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# Preliminary |
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## Preliminary Financial Time Series Dataset |
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> ⚠️ **Warning:** This dataset is preliminary and intended for development, testing, and feedback purposes only. |
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> A stable, production-ready version will be released later as a separate dataset. |
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## Overview |
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This dataset contains **parquet files** with time series data for various financial instruments, collected through an early-stage version of our data pipeline. The data is already usable, but the structure and naming conventions are **still subject to change**. |
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Each instrument currently has: |
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- One file with **daily candles** covering multiple years |
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- One file with **hours candles** covering at least 2 Years |
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- One file with **minute candles** covering a much shorter, but more detailed recent period |
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This dual-resolution format is intended to enable models that can reason across both long-term and short-term patterns. |
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## Purpose |
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This preliminary dataset exists to: |
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- Make early access to usable data possible |
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- Facilitate testing and iteration |
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- Gather feedback before finalizing a stable format |
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## Expected Changes |
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The internal structure of the parquet files will remain stable. However, the following may change: |
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- File naming conventions |
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- Organization into folders or shards (e.g., by year or month) |
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- Dataset split logic |
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The final version will be released separately to ensure compatibility and stability for users who rely on long-term consistency. |
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## Goals |
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Datasets in Traders-lab will continue to grow in two aspects: |
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* more stocks |
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More stocks will be available here over time. Expect the number of available stocks to grow rapidly in the near future. |
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* More data, especially in short-term data sets (minutes and hours) |
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The time data will accumulate over time, so the available time spans for the minute and hour data sets will grow soon. |
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I cannot yet promise that the currently available minute data will certainly be included in a complete time history, but in the near future I will be able to ensure this continuity. This means that the available time data will then be continuously updated and will grow steadily. |
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Translated with www.DeepL.com/Translator (free version) |
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## Non-Goals |
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The data should be sufficiently up-to-date for training purposes. |
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It is not a goal to be up to date. |
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Up-to-date enough for training purposes means that the data is at most a few days old, but several days can and may occur before an update. |
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### License & Usage |
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This dataset is not licensed under a standard open data license. |
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See the [`LICENSE`](LICENSE) file for usage permissions. The dataset is intended for **solely for research and educational purposes**. |
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Data is aggregated from publicly available sources such as [Yahoo Finance](https://finance.yahoo.com) via `yfinance`. |
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Redistribution may be restricted. Please respect the terms of the original data providers. |
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