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 |
Nov 16, 2023 | TRY 73.30 | TRY 74.45 | TRY 72.40 | TRY 74.05 | 236 073 |
Nov 15, 2023 | TRY 72.30 | TRY 73.40 | TRY 71.10 | TRY 73.40 | 259 909 |
Nov 14, 2023 | TRY 71.40 | TRY 72.55 | TRY 69.00 | TRY 72.00 | 213 962 |
Nov 13, 2023 | TRY 72.65 | TRY 73.25 | TRY 70.55 | TRY 71.00 | 239 887 |
Nov 10, 2023 | TRY 72.20 | TRY 76.10 | TRY 68.60 | TRY 72.60 | 583 233 |
Nov 09, 2023 | TRY 72.40 | TRY 72.40 | TRY 70.00 | TRY 71.60 | 212 354 |
Nov 08, 2023 | TRY 72.85 | TRY 73.25 | TRY 72.25 | TRY 72.80 | 309 819 |
Nov 07, 2023 | TRY 73.10 | TRY 73.10 | TRY 71.75 | TRY 72.30 | 168 465 |
Nov 06, 2023 | TRY 71.80 | TRY 72.55 | TRY 71.60 | TRY 72.30 | 436 691 |
Nov 03, 2023 | TRY 71.75 | TRY 71.75 | TRY 69.55 | TRY 71.30 | 233 288 |
Nov 02, 2023 | TRY 72.20 | TRY 73.35 | TRY 70.95 | TRY 71.20 | 322 568 |
Nov 01, 2023 | TRY 75.10 | TRY 75.10 | TRY 70.45 | TRY 71.45 | 253 841 |
Oct 31, 2023 | TRY 77.00 | TRY 78.00 | TRY 73.15 | TRY 74.15 | 639 281 |
Oct 30, 2023 | TRY 78.00 | TRY 83.10 | TRY 76.05 | TRY 80.30 | 644 654 |
Oct 27, 2023 | TRY 76.70 | TRY 83.45 | TRY 73.90 | TRY 76.10 | 276 502 |
Oct 26, 2023 | TRY 73.25 | TRY 76.25 | TRY 71.50 | TRY 75.95 | 194 594 |
Oct 25, 2023 | TRY 79.50 | TRY 79.50 | TRY 72.90 | TRY 72.90 | 184 425 |
Oct 24, 2023 | TRY 78.40 | TRY 78.85 | TRY 77.35 | TRY 78.50 | 177 069 |
Oct 23, 2023 | TRY 75.60 | TRY 77.20 | TRY 73.80 | TRY 77.15 | 258 428 |
Oct 20, 2023 | TRY 78.30 | TRY 79.00 | TRY 74.40 | TRY 74.70 | 236 573 |
Oct 19, 2023 | TRY 78.80 | TRY 80.20 | TRY 76.50 | TRY 78.30 | 244 178 |
Oct 18, 2023 | TRY 79.00 | TRY 80.30 | TRY 76.85 | TRY 77.05 | 417 071 |
Oct 17, 2023 | TRY 78.45 | TRY 80.05 | TRY 76.60 | TRY 80.05 | 217 333 |
Oct 16, 2023 | TRY 80.80 | TRY 82.00 | TRY 77.30 | TRY 77.50 | 308 194 |
Oct 13, 2023 | TRY 80.35 | TRY 82.25 | TRY 79.05 | TRY 80.40 | 262 357 |
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.