DNA Stock Price History - Philab Holdings Corp.

Advanced Filters
Best Day
N/A
Worst Day
N/A
Average Volume
N/A
Daily Average
Most Traded
N/A
Date Close High Low Volume Value Change Change %
Advanced Filters

Narrow down the DNA historical price data using specific metrics like price range, volume, volatility, or day of the week. These filters work together with the selected date range above.

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Price & Volume Charts

Visual representation of DNA historical performance for the selected filter criteria

The price chart displays DNA closing prices along with daily high and low ranges, helping identify price trends and support levels. The volume chart shows trading activity, indicating investor interest and market liquidity for the selected date range.

Historical Insights

Statistical analysis of DNA price movements for the filtered results

Price Volatility
N/A

DNA showed n/a volatility with a standard deviation of 0% in daily price changes, showing typical market fluctuations within normal trading ranges.

Overall Trend
neutral

The stock price exhibited an neutral trend from August 09, 2025 to November 09, 2025, maintaining relatively stable price levels with minimal directional bias.

Trading Days Analysis
0 Trading Days

During the 0 trading days analyzed, DNA recorded 0 positive days, 0 negative days, and 0 unchanged days, resulting in a win rate of 0% for the period.

Average Daily Change
0.00%

The stock demonstrated an average daily change of 0.00%, showing neutral average performance with balanced movements across the period.

Price Range
₱0.00

The trading range spread for DNA was ₱0.00, representing the difference between the highest and lowest prices recorded during this period, providing insight into the stock's price movement amplitude and potential volatility.

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Historical Price Data FAQs

Common questions about DNA stock price history

What is the DNA stock price history page?
The DNA stock price history page provides comprehensive historical trading data for Philab Holdings Corp., including daily price movements, trading volumes, price charts, key milestones, and statistical insights. You can filter data by date range, analyze price volatility, view timeline events, and track performance metrics over different periods.
How do I use the advanced filters for DNA historical data?
Click 'Advanced Filters' to access filtering options. You can filter by minimum/maximum price range, minimum trading volume, price change direction (positive or negative only), daily change percentage (low, medium, or high volatility), and specific days of the week. These filters work together with your selected date range to narrow down the data.
What do the volatility levels mean in DNA insights?
Volatility measures price fluctuation intensity. Low volatility indicates stable, consistent price movements with minimal daily swings. Medium volatility shows typical market fluctuations within normal trading ranges. High volatility reflects significant price swings and higher risk, indicating larger percentage changes between trading days.
How do I interpret the timeline milestones for DNA?
The timeline displays key events chronologically: Highest Price shows the peak value reached, Lowest Price marks the minimum valuation, Biggest Daily Gain highlights the largest single-day percentage rise, Biggest Daily Loss shows the steepest decline, and Highest Trading Volume indicates peak investor activity. Each milestone includes the date, price, trading volume, and percentage change to provide complete context.
What are the date range limitations for DNA historical data?
You can view up to 2 years of historical data in a single query. Use preset tabs (1 Month, 3 Months, 6 Months, YTD, 1 Year) for quick access, or select custom date ranges using the date picker. Historical data is available from the stock's listing date onwards, showing only actual trading days (excluding weekends and holidays).
How can I analyze trading volume patterns for DNA?
Check the Volume chart tab to visualize trading activity over time. High volume days often coincide with significant price movements and indicate strong investor interest. Compare daily volumes against the average volume (shown in stats) to identify unusual trading activity. Volume spikes during price increases suggest strong buying pressure, while spikes during declines indicate selling pressure.
 
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