BIST:PNSUT
Pinar Süt Mamülleri Sanayii A.S. Stock Price (Quote)
TRY 86.00
-1.15 (-1.32%)
At Close: May 27, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 84.90 | TRY 105.00 | Monday, 27th May 2024 PNSUT.IS stock ended at TRY 86.00. This is 1.32% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 2.56% from a day low at TRY 85.85 to a day high of TRY 88.05. |
90 days | TRY 79.15 | TRY 105.00 | |
52 weeks | TRY 43.82 | TRY 105.00 |
Date | Open | High | Low | Close | Volume |
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 |
Jun 23, 2023 | TRY 52.00 | TRY 52.80 | TRY 51.45 | TRY 52.30 | 325 261 |
Jun 22, 2023 | TRY 49.76 | TRY 51.50 | TRY 49.00 | TRY 51.45 | 184 716 |
Jun 21, 2023 | TRY 49.74 | TRY 50.75 | TRY 49.56 | TRY 49.76 | 108 414 |
Jun 20, 2023 | TRY 49.86 | TRY 50.35 | TRY 49.00 | TRY 49.74 | 140 222 |
Jun 19, 2023 | TRY 51.80 | TRY 52.50 | TRY 49.66 | TRY 49.86 | 192 033 |
Jun 16, 2023 | TRY 50.70 | TRY 52.15 | TRY 50.60 | TRY 51.50 | 191 457 |
Jun 15, 2023 | TRY 50.00 | TRY 50.80 | TRY 49.78 | TRY 50.55 | 228 103 |
Jun 14, 2023 | TRY 50.60 | TRY 51.05 | TRY 49.24 | TRY 49.74 | 262 683 |
Jun 13, 2023 | TRY 52.50 | TRY 52.50 | TRY 50.00 | TRY 50.60 | 281 394 |
Jun 12, 2023 | TRY 53.25 | TRY 54.10 | TRY 52.50 | TRY 52.65 | 354 342 |
Jun 09, 2023 | TRY 50.90 | TRY 53.65 | TRY 50.20 | TRY 53.25 | 645 506 |
Jun 08, 2023 | TRY 50.75 | TRY 52.30 | TRY 49.72 | TRY 50.70 | 369 014 |
Jun 07, 2023 | TRY 49.74 | TRY 51.10 | TRY 49.68 | TRY 50.75 | 462 169 |
Jun 06, 2023 | TRY 49.50 | TRY 49.90 | TRY 48.50 | TRY 49.48 | 358 180 |
Jun 05, 2023 | TRY 48.32 | TRY 49.80 | TRY 48.00 | TRY 49.34 | 611 771 |
Jun 02, 2023 | TRY 48.92 | TRY 48.92 | TRY 47.36 | TRY 47.90 | 480 409 |
Jun 01, 2023 | TRY 45.82 | TRY 47.90 | TRY 45.78 | TRY 47.52 | 399 935 |
May 31, 2023 | TRY 46.64 | TRY 47.70 | TRY 45.48 | TRY 45.76 | 479 352 |
May 30, 2023 | TRY 45.38 | TRY 46.96 | TRY 44.96 | TRY 46.48 | 588 076 |
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.