OMXH:YIT
YIT Oyj Stock Price (Quote)
2.15€
-0.0180 (-0.83%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 1.73€ | 2.17€ | Friday, 17th May 2024 YIT.HE stock ended at 2.15€. This is 0.83% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.97% from a day low at 2.13€ to a day high of 2.17€. |
90 days | 1.56€ | 2.17€ | |
52 weeks | 1.56€ | 2.39€ |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | 2.16€ | 2.17€ | 2.13€ | 2.15€ | 212 624 |
May 16, 2024 | 2.12€ | 2.17€ | 2.12€ | 2.16€ | 289 805 |
May 15, 2024 | 2.09€ | 2.13€ | 2.08€ | 2.12€ | 306 848 |
May 14, 2024 | 2.08€ | 2.10€ | 2.05€ | 2.08€ | 244 674 |
May 13, 2024 | 2.05€ | 2.11€ | 2.05€ | 2.08€ | 313 155 |
May 10, 2024 | 2.01€ | 2.05€ | 2.01€ | 2.03€ | 209 214 |
May 08, 2024 | 2.01€ | 2.05€ | 1.98€ | 2.00€ | 203 565 |
May 07, 2024 | 2.04€ | 2.04€ | 2.00€ | 2.01€ | 219 499 |
May 06, 2024 | 1.99€ | 2.03€ | 1.99€ | 2.03€ | 286 819 |
May 03, 2024 | 1.99€ | 2.01€ | 1.97€ | 1.99€ | 326 979 |
May 02, 2024 | 1.94€ | 2.00€ | 1.86€ | 1.99€ | 434 191 |
Apr 30, 2024 | 1.90€ | 1.95€ | 1.84€ | 1.95€ | 563 907 |
Apr 29, 2024 | 1.85€ | 1.91€ | 1.84€ | 1.90€ | 274 656 |
Apr 26, 2024 | 1.78€ | 1.84€ | 1.77€ | 1.83€ | 335 204 |
Apr 25, 2024 | 1.78€ | 1.79€ | 1.77€ | 1.77€ | 224 705 |
Apr 24, 2024 | 1.75€ | 1.79€ | 1.73€ | 1.78€ | 205 933 |
Apr 23, 2024 | 1.78€ | 1.80€ | 1.75€ | 1.76€ | 206 351 |
Apr 22, 2024 | 1.80€ | 1.82€ | 1.76€ | 1.78€ | 149 868 |
Apr 19, 2024 | 1.79€ | 1.82€ | 1.78€ | 1.78€ | 257 788 |
Apr 18, 2024 | 1.75€ | 1.80€ | 1.74€ | 1.79€ | 215 128 |
Apr 17, 2024 | 1.75€ | 1.78€ | 1.73€ | 1.75€ | 159 487 |
Apr 16, 2024 | 1.79€ | 1.79€ | 1.74€ | 1.75€ | 309 203 |
Apr 15, 2024 | 1.82€ | 1.84€ | 1.79€ | 1.79€ | 240 406 |
Apr 12, 2024 | 1.89€ | 1.91€ | 1.81€ | 1.81€ | 228 290 |
Apr 11, 2024 | 1.88€ | 1.91€ | 1.88€ | 1.88€ | 200 082 |
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 YIT.HE stock historical prices to predict future price movements?
Trend Analysis: Examine the YIT.HE 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 YIT.HE 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.