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Date
timestamp[ms]date
1962-01-02 00:00:00
2026-10-16 00:00:00
Open
float64
0
2.9M
High
float64
0
2.99M
Low
float64
0
2.75M
Close
float64
0
2.92M
⌀
Volume
float64
0
448B
Dividends
float64
0
12.6k
Stock Splits
float64
0
310
Ticker
large_stringclasses
669 values
2000-01-04T00:00:00
518,700
555,450
508,200
540,750
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2000-01-06T00:00:00
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2000-03-17T00:00:00
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2000-03-20T00:00:00
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2000-03-21T00:00:00
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2000-03-22T00:00:00
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2000-03-23T00:00:00
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2000-03-24T00:00:00
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2000-03-27T00:00:00
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2000-03-28T00:00:00
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2000-04-03T00:00:00
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End of preview. Expand in Data Studio

Stock-pile

Stock-pile is a comprehensive financial dataset covering historical daily and weekly stock market performance for 750 of the world's richest companies—spanning from their founding/IPO dates up to the present day.

Dataset Overview

  • Entities Covered: 750 world-leading companies by market cap & wealth.
  • Time Horizon: Complete lifetime historical data (from founding/IPO date to present).
  • Frequencies Included: Daily and Weekly aggregate records.
  • Total Records: Over 5 Million rows (~101 MB in compressed Parquet format).

Dataset Structure

The dataset contains standard OHLCV (Open, High, Low, Close, Volume) data alongside relevant corporate metadata.

Data Fields

Column Name Data Type Description
date timestamp Trade date
frequency string Frequency interval (daily or weekly)
open float64 Opening price
high float64 Highest price during the period
low float64 Lowest price during the period
close float64 Closing price
volume int64 Total trading volume
Dividends float64 Total dividends
Stock splits float32 Amount of spilt stocks

Quickstart & Usage

Loading with Datasets

import datasets

dataset = datasets.load_dataset("helloadhavan/Stock-pile")
print(dataset)
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