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 |
Aug 02, 2023 | TRY 81.45 | TRY 85.50 | TRY 81.20 | TRY 84.25 | 5 090 600 |
Aug 01, 2023 | TRY 70.70 | TRY 77.75 | TRY 68.45 | TRY 77.75 | 2 084 145 |
Jul 31, 2023 | TRY 71.50 | TRY 72.00 | TRY 69.60 | TRY 70.70 | 714 751 |
Jul 28, 2023 | TRY 70.90 | TRY 71.35 | TRY 69.80 | TRY 71.20 | 755 393 |
Jul 27, 2023 | TRY 70.65 | TRY 70.85 | TRY 69.50 | TRY 70.25 | 440 426 |
Jul 26, 2023 | TRY 69.20 | TRY 70.15 | TRY 68.30 | TRY 69.60 | 422 776 |
Jul 25, 2023 | TRY 71.00 | TRY 71.35 | TRY 68.00 | TRY 69.20 | 511 309 |
Jul 24, 2023 | TRY 72.70 | TRY 74.20 | TRY 69.75 | TRY 70.45 | 949 554 |
Jul 21, 2023 | TRY 70.00 | TRY 71.50 | TRY 68.00 | TRY 71.00 | 661 583 |
Jul 20, 2023 | TRY 65.00 | TRY 70.00 | TRY 64.40 | TRY 70.00 | 1 436 846 |
Jul 19, 2023 | TRY 62.30 | TRY 64.55 | TRY 61.20 | TRY 64.50 | 503 042 |
Jul 18, 2023 | TRY 66.75 | TRY 68.10 | TRY 62.35 | TRY 62.35 | 809 064 |
Jul 17, 2023 | TRY 65.00 | TRY 68.35 | TRY 64.00 | TRY 66.55 | 1 214 731 |
Jul 14, 2023 | TRY 64.75 | TRY 66.00 | TRY 63.10 | TRY 64.10 | 817 267 |
Jul 13, 2023 | TRY 62.85 | TRY 66.65 | TRY 61.75 | TRY 64.70 | 1 684 106 |
Jul 12, 2023 | TRY 64.90 | TRY 64.90 | TRY 62.40 | TRY 62.85 | 435 098 |
Jul 11, 2023 | TRY 63.40 | TRY 64.20 | TRY 61.40 | TRY 64.15 | 777 957 |
Jul 10, 2023 | TRY 60.75 | TRY 63.15 | TRY 60.75 | TRY 63.00 | 1 206 231 |
Jul 07, 2023 | TRY 60.95 | TRY 62.20 | TRY 58.95 | TRY 60.40 | 595 821 |
Jul 06, 2023 | TRY 59.75 | TRY 63.35 | TRY 56.85 | TRY 60.85 | 2 229 516 |
Jul 05, 2023 | TRY 59.50 | TRY 59.70 | TRY 57.45 | TRY 59.50 | 584 080 |
Jul 04, 2023 | TRY 57.35 | TRY 59.40 | TRY 57.10 | TRY 59.05 | 681 669 |
Jul 03, 2023 | TRY 55.70 | TRY 57.75 | TRY 53.00 | TRY 57.35 | 853 830 |
Jun 27, 2023 | TRY 54.25 | TRY 54.95 | TRY 53.75 | TRY 54.40 | 115 475 |
Jun 26, 2023 | TRY 52.30 | TRY 55.60 | TRY 52.30 | TRY 54.25 | 595 723 |
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.