BIST:PNSUT
Pinar Süt Mamülleri Sanayii A.S. Stock Price (Quote)
TRY 86.00
+0.350 (+0.409%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 84.90 | TRY 105.00 | Friday, 17th May 2024 PNSUT.IS stock ended at TRY 86.00. This is 0.409% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.82% from a day low at TRY 85.65 to a day high of TRY 86.35. |
90 days | TRY 79.15 | TRY 105.00 | |
52 weeks | TRY 42.04 | TRY 105.00 |
Date | Open | High | Low | Close | Volume |
Feb 02, 2022 | TRY 19.13 | TRY 19.25 | TRY 18.85 | TRY 19.20 | 505 734 |
Feb 01, 2022 | TRY 18.74 | TRY 19.35 | TRY 18.56 | TRY 19.08 | 532 023 |
Jan 31, 2022 | TRY 18.61 | TRY 18.95 | TRY 18.61 | TRY 18.73 | 193 854 |
Jan 28, 2022 | TRY 18.52 | TRY 18.79 | TRY 18.48 | TRY 18.55 | 153 554 |
Jan 27, 2022 | TRY 18.31 | TRY 18.69 | TRY 18.21 | TRY 18.65 | 141 374 |
Jan 26, 2022 | TRY 18.51 | TRY 18.89 | TRY 18.39 | TRY 18.46 | 274 673 |
Jan 25, 2022 | TRY 18.79 | TRY 18.81 | TRY 18.20 | TRY 18.58 | 337 215 |
Jan 24, 2022 | TRY 19.04 | TRY 19.74 | TRY 18.66 | TRY 18.71 | 659 895 |
Jan 21, 2022 | TRY 19.02 | TRY 19.11 | TRY 18.81 | TRY 19.04 | 185 719 |
Jan 20, 2022 | TRY 19.18 | TRY 19.36 | TRY 18.75 | TRY 19.10 | 339 476 |
Jan 19, 2022 | TRY 18.70 | TRY 19.29 | TRY 18.70 | TRY 19.25 | 438 324 |
Jan 18, 2022 | TRY 19.56 | TRY 19.95 | TRY 18.78 | TRY 18.96 | 649 883 |
Jan 17, 2022 | TRY 18.78 | TRY 19.50 | TRY 18.78 | TRY 19.50 | 649 963 |
Jan 14, 2022 | TRY 18.80 | TRY 18.92 | TRY 18.72 | TRY 18.78 | 198 288 |
Jan 13, 2022 | TRY 18.97 | TRY 19.12 | TRY 18.79 | TRY 18.82 | 226 647 |
Jan 12, 2022 | TRY 18.95 | TRY 19.15 | TRY 18.76 | TRY 18.97 | 434 838 |
Jan 11, 2022 | TRY 18.92 | TRY 19.41 | TRY 18.62 | TRY 18.88 | 603 514 |
Jan 10, 2022 | TRY 18.08 | TRY 19.46 | TRY 18.08 | TRY 18.86 | 1 595 089 |
Jan 07, 2022 | TRY 18.00 | TRY 18.15 | TRY 17.83 | TRY 18.09 | 298 952 |
Jan 06, 2022 | TRY 18.12 | TRY 18.33 | TRY 17.98 | TRY 18.02 | 333 645 |
Jan 05, 2022 | TRY 18.04 | TRY 18.38 | TRY 17.97 | TRY 18.22 | 330 158 |
Jan 04, 2022 | TRY 17.75 | TRY 18.18 | TRY 17.73 | TRY 18.02 | 460 509 |
Jan 03, 2022 | TRY 17.42 | TRY 17.80 | TRY 17.42 | TRY 17.71 | 303 992 |
Dec 31, 2021 | TRY 17.48 | TRY 17.75 | TRY 17.35 | TRY 17.48 | 155 061 |
Dec 30, 2021 | TRY 17.90 | TRY 17.90 | TRY 17.40 | TRY 17.48 | 206 243 |
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 PNSUT.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the PNSUT.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 PNSUT.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.