BIST:PENGD
Penguen Gida Sanayi A.S. Stock Price (Quote)
TRY 7.94
+0.120 (+1.53%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 6.81 | TRY 8.90 | Thursday, 16th May 2024 PENGD.IS stock ended at TRY 7.94. This is 1.53% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 2.45% from a day low at TRY 7.77 to a day high of TRY 7.96. |
90 days | TRY 6.26 | TRY 8.90 | |
52 weeks | TRY 4.51 | TRY 10.77 |
Date | Open | High | Low | Close | Volume |
Dec 28, 2021 | TRY 3.39 | TRY 3.42 | TRY 3.23 | TRY 3.28 | 4 806 719 |
Dec 27, 2021 | TRY 3.45 | TRY 3.49 | TRY 3.35 | TRY 3.40 | 4 723 102 |
Dec 24, 2021 | TRY 3.43 | TRY 3.47 | TRY 3.37 | TRY 3.44 | 4 001 865 |
Dec 23, 2021 | TRY 3.50 | TRY 3.52 | TRY 3.35 | TRY 3.41 | 6 279 083 |
Dec 22, 2021 | TRY 3.52 | TRY 3.59 | TRY 3.41 | TRY 3.47 | 4 760 325 |
Dec 21, 2021 | TRY 3.76 | TRY 3.80 | TRY 3.35 | TRY 3.53 | 5 163 483 |
Dec 20, 2021 | TRY 3.55 | TRY 3.86 | TRY 3.33 | TRY 3.59 | 11 646 888 |
Dec 17, 2021 | TRY 4.07 | TRY 4.16 | TRY 3.66 | TRY 3.70 | 10 750 932 |
Dec 16, 2021 | TRY 4.17 | TRY 4.19 | TRY 4.01 | TRY 4.06 | 9 041 948 |
Dec 15, 2021 | TRY 4.40 | TRY 4.58 | TRY 4.15 | TRY 4.16 | 24 232 529 |
Dec 14, 2021 | TRY 4.29 | TRY 4.35 | TRY 4.16 | TRY 4.34 | 10 761 842 |
Dec 13, 2021 | TRY 4.37 | TRY 4.43 | TRY 4.27 | TRY 4.28 | 7 194 491 |
Dec 10, 2021 | TRY 4.33 | TRY 4.49 | TRY 4.30 | TRY 4.35 | 8 838 884 |
Dec 09, 2021 | TRY 4.55 | TRY 4.56 | TRY 4.32 | TRY 4.34 | 9 395 788 |
Dec 08, 2021 | TRY 4.71 | TRY 4.72 | TRY 4.48 | TRY 4.57 | 11 626 897 |
Dec 07, 2021 | TRY 4.71 | TRY 4.80 | TRY 4.69 | TRY 4.69 | 10 362 954 |
Dec 06, 2021 | TRY 4.74 | TRY 4.79 | TRY 4.65 | TRY 4.68 | 10 595 881 |
Dec 03, 2021 | TRY 4.87 | TRY 4.92 | TRY 4.68 | TRY 4.76 | 8 872 800 |
Dec 02, 2021 | TRY 4.87 | TRY 4.95 | TRY 4.84 | TRY 4.90 | 6 658 360 |
Dec 01, 2021 | TRY 5.12 | TRY 5.15 | TRY 4.87 | TRY 4.87 | 12 898 682 |
Nov 30, 2021 | TRY 5.30 | TRY 5.30 | TRY 4.88 | TRY 5.12 | 23 742 343 |
Nov 29, 2021 | TRY 4.55 | TRY 4.84 | TRY 4.54 | TRY 4.82 | 12 614 156 |
Nov 26, 2021 | TRY 4.22 | TRY 4.55 | TRY 4.15 | TRY 4.51 | 19 112 963 |
Nov 25, 2021 | TRY 4.15 | TRY 4.27 | TRY 4.12 | TRY 4.25 | 10 979 209 |
Nov 24, 2021 | TRY 4.10 | TRY 4.22 | TRY 4.08 | TRY 4.14 | 9 648 247 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use PENGD.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the PENGD.IS stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the PENGD.IS stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.