BIST:SNPAM
Sönmez Pamuklu Sanayii Anonim Sirketi Stock Price (Quote)
TRY 107.30
-4.20 (-3.77%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 82.85 | TRY 121.80 | Friday, 17th May 2024 SNPAM.IS stock ended at TRY 107.30. This is 3.77% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.0933% from a day low at TRY 107.20 to a day high of TRY 107.30. |
90 days | TRY 82.00 | TRY 121.80 | |
52 weeks | TRY 11.70 | TRY 200.00 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | TRY 107.30 | TRY 107.30 | TRY 107.20 | TRY 107.30 | 45 158 |
May 16, 2024 | TRY 114.40 | TRY 115.90 | TRY 111.50 | TRY 111.50 | 57 403 |
May 15, 2024 | TRY 107.10 | TRY 112.30 | TRY 107.10 | TRY 112.30 | 33 033 |
May 14, 2024 | TRY 103.80 | TRY 103.80 | TRY 103.80 | TRY 103.80 | 77 124 |
May 13, 2024 | TRY 115.90 | TRY 115.90 | TRY 108.60 | TRY 108.60 | 42 671 |
May 10, 2024 | TRY 108.70 | TRY 116.00 | TRY 108.70 | TRY 116.00 | 87 343 |
May 09, 2024 | TRY 121.80 | TRY 121.80 | TRY 115.20 | TRY 117.90 | 94 999 |
May 08, 2024 | TRY 110.30 | TRY 121.30 | TRY 110.30 | TRY 121.30 | 107 019 |
May 07, 2024 | TRY 116.00 | TRY 116.00 | TRY 110.30 | TRY 110.30 | 140 587 |
May 06, 2024 | TRY 119.90 | TRY 119.90 | TRY 118.70 | TRY 118.70 | 347 080 |
May 03, 2024 | TRY 109.00 | TRY 109.00 | TRY 109.00 | TRY 109.00 | 107 381 |
May 02, 2024 | TRY 99.15 | TRY 99.15 | TRY 99.15 | TRY 99.15 | 70 174 |
Apr 30, 2024 | TRY 92.25 | TRY 92.25 | TRY 90.15 | TRY 90.15 | 70 104 |
Apr 29, 2024 | TRY 99.60 | TRY 99.60 | TRY 92.25 | TRY 92.25 | 50 937 |
Apr 26, 2024 | TRY 99.70 | TRY 99.70 | TRY 99.70 | TRY 99.70 | 114 752 |
Apr 25, 2024 | TRY 110.90 | TRY 110.90 | TRY 104.50 | TRY 104.50 | 154 179 |
Apr 24, 2024 | TRY 92.55 | TRY 101.80 | TRY 92.55 | TRY 101.80 | 218 140 |
Apr 22, 2024 | TRY 86.75 | TRY 92.60 | TRY 86.75 | TRY 92.55 | 69 304 |
Apr 19, 2024 | TRY 85.70 | TRY 85.70 | TRY 82.85 | TRY 85.70 | 57 288 |
Apr 18, 2024 | TRY 85.65 | TRY 86.85 | TRY 85.65 | TRY 86.85 | 61 472 |
Apr 17, 2024 | TRY 85.65 | TRY 85.65 | TRY 85.65 | TRY 85.65 | 76 667 |
Apr 16, 2024 | TRY 88.15 | TRY 88.15 | TRY 86.25 | TRY 86.25 | 32 647 |
Apr 15, 2024 | TRY 87.00 | TRY 87.75 | TRY 87.00 | TRY 87.75 | 73 496 |
Apr 09, 2024 | TRY 88.00 | TRY 88.00 | TRY 87.00 | TRY 87.00 | 17 331 |
Apr 08, 2024 | TRY 88.00 | TRY 88.00 | TRY 88.00 | TRY 88.00 | 61 523 |
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 SNPAM.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the SNPAM.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 SNPAM.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.