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Stock OHLCV: Daily Candles (JSON, 252 records)

The daily OHLCV candles as a JSON array: the format twin of the CSV, for charting and time-series testing.

Data importTime-series data
Preview, first 50 linesjson
[
  {
    "date": "2025-01-01",
    "open": 100.0,
    "high": 100.35,
    "low": 99.73,
    "close": 100.05,
    "volume": 4251429
  },
  {
    "date": "2025-01-02",
    "open": 100.05,
    "high": 101.04,
    "low": 99.13,
    "close": 99.19,
    "volume": 1513432
  },
  {
    "date": "2025-01-03",
    "open": 99.19,
    "high": 102.4,
    "low": 98.57,
    "close": 101.9,
    "volume": 4174093
  },
  {
    "date": "2025-01-06",
    "open": 101.9,
    "high": 102.79,
    "low": 100.95,
    "close": 102.68,
    "volume": 1863645
  },
  {
    "date": "2025-01-07",
    "open": 102.68,
    "high": 103.39,
    "low": 101.29,
    "close": 102.67,
    "volume": 4134486
  },
  {
    "date": "2025-01-08",
    "open": 102.67,
    "high": 103.99,
    "low": 97.0,
    "close": 98.82,
    "volume": 4066978
  },
  {
… 2019 lines total: download for the full file.

Specifications

Records
252
Schema
date, open, high, low, close, volume
Ticker
NOVS
Domain
finance

Testing contract

Expected to pass
Scenario
Exercise Stock OHLCV: Daily Candles (JSON, 252 records) in its finance workflow. The daily OHLCV candles as a JSON array: the format twin of the CSV, for charting and time-series testing.
Expected result
array length is 252; first-record keys are date, open, high, low, close, volume. Declared feature checks: ticker=NOVS; domain=finance.

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“Stock OHLCV: Daily Candles (JSON, 252 records)” is a deterministic Testaroo fixture for Data import, Time-series data. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: 252 records · schema: date, open, high, low, close, volume. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Code examples

import json

with open("stock-ohlcv.json") as f:
    data = json.load(f)
print(type(data), len(data))

Generated by generation/data_realworld.py. Free for any use, no attribution required, license.

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