BIST:ULAS
Ulaslar Turizm Yatirimlari ve Dayanikli Stock Price (Quote)
TRY 28.68
+0.600 (+2.14%)
At Close: May 22, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 26.70 | TRY 36.20 | Wednesday, 22nd May 2024 ULAS.IS stock ended at TRY 28.68. This is 2.14% more than the trading day before Tuesday, 21st May 2024. During the day the stock fluctuated 5.90% from a day low at TRY 27.82 to a day high of TRY 29.46. |
90 days | TRY 20.00 | TRY 36.20 | |
52 weeks | TRY 11.15 | TRY 36.20 |
Date | Open | High | Low | Close | Volume |
Jul 03, 2023 | TRY 14.36 | TRY 15.19 | TRY 14.35 | TRY 14.95 | 621 718 |
Jun 27, 2023 | TRY 14.50 | TRY 14.53 | TRY 14.20 | TRY 14.35 | 88 803 |
Jun 26, 2023 | TRY 14.38 | TRY 14.54 | TRY 13.97 | TRY 14.28 | 394 530 |
Jun 23, 2023 | TRY 13.96 | TRY 14.64 | TRY 13.92 | TRY 14.36 | 206 326 |
Jun 22, 2023 | TRY 14.20 | TRY 14.49 | TRY 13.62 | TRY 13.96 | 300 946 |
Jun 21, 2023 | TRY 14.71 | TRY 15.40 | TRY 14.25 | TRY 14.30 | 428 709 |
Jun 20, 2023 | TRY 15.30 | TRY 15.75 | TRY 14.44 | TRY 14.71 | 351 685 |
Jun 19, 2023 | TRY 16.00 | TRY 16.00 | TRY 15.20 | TRY 15.30 | 247 149 |
Jun 16, 2023 | TRY 16.60 | TRY 16.89 | TRY 15.88 | TRY 16.00 | 310 907 |
Jun 15, 2023 | TRY 16.22 | TRY 16.87 | TRY 15.53 | TRY 16.44 | 405 707 |
Jun 14, 2023 | TRY 16.10 | TRY 17.07 | TRY 15.60 | TRY 16.22 | 556 721 |
Jun 13, 2023 | TRY 15.00 | TRY 16.40 | TRY 14.61 | TRY 16.09 | 483 594 |
Jun 12, 2023 | TRY 15.05 | TRY 15.42 | TRY 14.80 | TRY 14.95 | 354 768 |
Jun 09, 2023 | TRY 14.90 | TRY 16.00 | TRY 14.80 | TRY 15.00 | 303 376 |
Jun 08, 2023 | TRY 15.28 | TRY 15.82 | TRY 14.52 | TRY 15.00 | 386 568 |
Jun 07, 2023 | TRY 15.60 | TRY 16.57 | TRY 15.28 | TRY 15.28 | 643 356 |
Jun 06, 2023 | TRY 14.20 | TRY 15.60 | TRY 14.02 | TRY 15.60 | 638 591 |
Jun 05, 2023 | TRY 13.50 | TRY 14.50 | TRY 13.50 | TRY 14.19 | 427 063 |
Jun 02, 2023 | TRY 14.29 | TRY 14.67 | TRY 14.20 | TRY 14.54 | 231 677 |
Jun 01, 2023 | TRY 14.79 | TRY 14.84 | TRY 14.23 | TRY 14.38 | 239 759 |
May 31, 2023 | TRY 15.02 | TRY 15.02 | TRY 14.53 | TRY 14.65 | 290 883 |
May 30, 2023 | TRY 14.91 | TRY 15.33 | TRY 14.83 | TRY 15.00 | 414 644 |
May 29, 2023 | TRY 14.11 | TRY 15.52 | TRY 14.10 | TRY 14.90 | 673 620 |
May 26, 2023 | TRY 14.40 | TRY 14.73 | TRY 13.91 | TRY 14.11 | 422 047 |
May 25, 2023 | TRY 14.50 | TRY 14.99 | TRY 14.00 | TRY 14.40 | 268 838 |
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 ULAS.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the ULAS.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 ULAS.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.