BIST:DMSAS
Demisas Döküm Emaye Mamülleri Sanayi Stock Price (Quote)
TRY 7.13
+0.210 (+3.03%)
At Close: Jun 10, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 6.28 | TRY 7.55 | Monday, 10th Jun 2024 DMSAS.IS stock ended at TRY 7.13. This is 3.03% more than the trading day before Friday, 7th Jun 2024. During the day the stock fluctuated 9.74% from a day low at TRY 6.88 to a day high of TRY 7.55. |
90 days | TRY 5.53 | TRY 7.96 | |
52 weeks | TRY 5.53 | TRY 11.49 |
Historical Demisas Döküm Emaye Mamülleri Sanayi Anonim Sirketi prices
Date | Open | High | Low | Close | Volume |
Nov 08, 2022 | TRY 7.92 | TRY 7.94 | TRY 7.72 | TRY 7.74 | 2 408 574 |
Nov 07, 2022 | TRY 8.08 | TRY 8.15 | TRY 7.89 | TRY 7.91 | 2 770 373 |
Nov 04, 2022 | TRY 8.10 | TRY 8.16 | TRY 7.83 | TRY 8.07 | 4 842 591 |
Nov 03, 2022 | TRY 9.00 | TRY 9.12 | TRY 8.06 | TRY 8.06 | 16 724 071 |
Nov 02, 2022 | TRY 9.44 | TRY 9.70 | TRY 8.95 | TRY 8.97 | 7 488 767 |
Nov 01, 2022 | TRY 9.34 | TRY 9.82 | TRY 8.83 | TRY 8.83 | 8 985 669 |
Oct 31, 2022 | TRY 8.26 | TRY 9.06 | TRY 8.05 | TRY 9.06 | 7 519 891 |
Oct 28, 2022 | TRY 8.54 | TRY 8.54 | TRY 7.92 | TRY 8.24 | 858 161 |
Oct 27, 2022 | TRY 8.50 | TRY 8.55 | TRY 8.08 | TRY 8.26 | 2 765 526 |
Oct 26, 2022 | TRY 8.13 | TRY 8.69 | TRY 8.07 | TRY 8.50 | 6 597 348 |
Oct 25, 2022 | TRY 8.07 | TRY 8.19 | TRY 7.87 | TRY 8.10 | 3 925 004 |
Oct 24, 2022 | TRY 7.99 | TRY 8.31 | TRY 7.93 | TRY 8.04 | 2 971 685 |
Oct 21, 2022 | TRY 7.98 | TRY 8.15 | TRY 7.83 | TRY 7.95 | 1 612 028 |
Oct 20, 2022 | TRY 8.07 | TRY 8.11 | TRY 7.70 | TRY 7.97 | 2 556 858 |
Oct 19, 2022 | TRY 8.03 | TRY 8.13 | TRY 7.67 | TRY 8.07 | 2 050 432 |
Oct 18, 2022 | TRY 8.16 | TRY 8.25 | TRY 7.98 | TRY 8.01 | 2 976 613 |
Oct 17, 2022 | TRY 8.49 | TRY 8.56 | TRY 8.14 | TRY 8.21 | 4 324 294 |
Oct 14, 2022 | TRY 8.64 | TRY 8.64 | TRY 8.31 | TRY 8.46 | 3 410 660 |
Oct 13, 2022 | TRY 9.39 | TRY 9.50 | TRY 8.48 | TRY 8.48 | 3 612 844 |
Oct 12, 2022 | TRY 8.89 | TRY 9.48 | TRY 8.77 | TRY 9.39 | 3 297 123 |
Oct 11, 2022 | TRY 8.75 | TRY 8.89 | TRY 8.56 | TRY 8.89 | 1 669 914 |
Oct 10, 2022 | TRY 8.76 | TRY 8.95 | TRY 8.70 | TRY 8.73 | 1 606 970 |
Oct 07, 2022 | TRY 8.80 | TRY 8.94 | TRY 8.67 | TRY 8.71 | 1 670 234 |
Oct 06, 2022 | TRY 9.09 | TRY 9.14 | TRY 8.80 | TRY 8.80 | 1 649 417 |
Oct 05, 2022 | TRY 9.24 | TRY 9.28 | TRY 8.97 | TRY 9.05 | 1 407 594 |
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 DMSAS.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the DMSAS.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 DMSAS.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.