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9.23B
AAPL
345,427,200
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
346,032,000
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AAPL
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AAPL
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AAPL
346,464,000
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AAPL
346,636,800
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AAPL
346,896,000
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AAPL
346,982,400
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AAPL
347,068,800
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AAPL
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AAPL
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AAPL
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AAPL
347,673,600
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
349,574,400
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AAPL
349,660,800
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AAPL
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AAPL
350,006,400
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AAPL
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AAPL
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AAPL
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AAPL
350,524,800
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AAPL
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AAPL
350,697,600
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AAPL
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AAPL
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AAPL
351,216,000
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
352,080,000
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AAPL
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AAPL
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AAPL
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AAPL
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AAPL
352,684,800
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AAPL
352,944,000
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AAPL
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AAPL
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AAPL
353,203,200
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AAPL
353,289,600
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AAPL
353,548,800
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AAPL
353,635,200
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AAPL
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AAPL
353,808,000
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AAPL
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14,604,800
AAPL
354,153,600
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22,019,200
AAPL
354,240,000
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28,156,800
AAPL
354,326,400
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AAPL
354,412,800
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12,275,200
AAPL
354,499,200
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AAPL
354,758,400
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AAPL
354,844,800
0.08499
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15,993,600
AAPL
354,931,200
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AAPL
355,017,600
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AAPL
355,104,000
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AAPL
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AAPL
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AAPL
355,536,000
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AAPL
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AAPL
355,708,800
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AAPL
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AAPL
356,054,400
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AAPL
356,140,800
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AAPL
356,227,200
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23,878,400
AAPL
356,572,800
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AAPL
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28,537,600
AAPL
356,745,600
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AAPL
356,832,000
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AAPL
356,918,400
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AAPL
357,177,600
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38,528,000
AAPL
357,264,000
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32,188,800
AAPL
357,350,400
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AAPL
357,436,800
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AAPL
357,523,200
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16,553,600
AAPL
357,782,400
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14,448,000
AAPL
357,868,800
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17,539,200
AAPL
357,955,200
0.094434
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18,950,400
End of preview. Expand in Data Studio
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Preliminary

Preliminary Financial Time Series Dataset

⚠️ Warning: This dataset is preliminary and intended for development, testing, and feedback purposes only.
A stable, production-ready version will be released later as a separate dataset.

Overview

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.

Each instrument currently has:

  • One file with daily candles covering multiple years
  • One file with minute candles covering a much shorter, but more detailed recent period

This dual-resolution format is intended to enable models that can reason across both long-term and short-term patterns.

Purpose

This preliminary dataset exists to:

  • Make early access to usable data possible
  • Facilitate testing and iteration
  • Gather feedback before finalizing a stable format

Expected Changes

The internal structure of the parquet files will remain stable. However, the following may change:

  • File naming conventions
  • Organization into folders or shards (e.g., by year or month)
  • Dataset split logic

The final version will be released separately to ensure compatibility and stability for users who rely on long-term consistency.

Goals

Datasets in Traders-lab will continue to grow in two aspects:

  • more stocks
    More stocks will be available here over time. Expect the number of available stocks to grow rapidly in the near future.
  • More data, especially in short-term data sets (minutes and hours) The time data will accumulate over time, so the available time spans for the minute and hour data sets will grow soon.
    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.

Translated with www.DeepL.com/Translator (free version)

Non-Goals

The data should be sufficiently up-to-date for training purposes.

It is not a goal to be up to date. 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.

License & Usage

This dataset is not licensed under a standard open data license.

See the LICENSE file for usage permissions. The dataset is intended for solely for research and educational purposes.
Data is aggregated from publicly available sources such as Yahoo Finance via yfinance.

Redistribution may be restricted. Please respect the terms of the original data providers.

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