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.
[
{
"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
},
{Specifications
- Records
- 252
- Schema
- date, open, high, low, close, volume
- 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.
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Generated by generation/data_realworld.py. Free for any use, no attribution required — license.