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Adjusted OHLCV

Adjusted OHLCV refers to historical price and volume data—Open, High, Low, Close, and Volume—that has been corrected for corporate actions such as dividends, stock splits, and distributions.
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Adjusted OHLCV data provides a consistent view of a stock’s historical performance. Corporate actions like stock splits, dividends, rights issues, or mergers can change a stock’s price in ways that do not reflect real market movement. Adjusted data corrects these changes so the price history remains accurate and comparable over time.

The “Open,” “High,” “Low,” and “Close” prices are recalculated to reflect the impact of these events. Volume may also be adjusted during stock splits to maintain consistency with the updated share count. This allows analysts, traders, and automated systems to work with data that shows the true economic value of the stock across its full history.

Adjusted OHLCV is essential for performance analysis, backtesting, and charting. Without these adjustments, historical data would contain artificial price jumps or drops that could distort indicators, strategy results, or trend analysis.

Adjusted OHLCV ensures that historical data is consistent and comparable across time. It removes distortions caused by corporate actions, making it reliable for modeling, technical analysis, and investment research.

Raw OHLCV shows the exact prices recorded on each trading day without changes. Adjusted OHLCV modifies historical prices and volume to account for stock splits, dividends, and other corporate actions to maintain data accuracy.

Traders use adjusted OHLCV to avoid misleading price movements caused by corporate events. It provides clean data for backtesting, chart analysis, and long-term performance evaluation.

A company performs a 3-for-1 stock split. The raw OHLCV data shows prices dropping to one-third of their previous value. Adjusted OHLCV recalculates past prices and volume so the historical chart remains consistent and reflects the split correctly.

FinFeedAPI’s Stock API offers both raw and adjusted OHLCV data. Adjusted data is widely used for backtesting, charting, performance models, and algorithmic trading systems that require accurate historical information. Developers rely on this data to avoid errors caused by unadjusted corporate actions.

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