Zorlu Enerji Elektrik Üretim A.S. Stock Price (Quote)
TRY 6.09
+0.0200 (+0.329%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 5.75 | TRY 6.94 | Friday, 17th May 2024 ZOREN.IS stock ended at TRY 6.09. This is 0.329% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.14% from a day low at TRY 6.07 to a day high of TRY 6.20. |
90 days | TRY 5.09 | TRY 6.94 | |
52 weeks | TRY 2.71 | TRY 7.57 |
Date | Open | High | Low | Close | Volume |
Jan 27, 2020 | TRY 1.67 | TRY 1.72 | TRY 1.66 | TRY 1.73 | 42 406 450 |
Jan 24, 2020 | TRY 1.71 | TRY 1.72 | TRY 1.67 | TRY 1.69 | 20 431 085 |
Jan 23, 2020 | TRY 1.70 | TRY 1.72 | TRY 1.69 | TRY 1.69 | 31 149 936 |
Jan 22, 2020 | TRY 1.75 | TRY 1.77 | TRY 1.70 | TRY 1.71 | 83 842 156 |
Jan 21, 2020 | TRY 1.66 | TRY 1.74 | TRY 1.64 | TRY 1.73 | 114 803 597 |
Jan 20, 2020 | TRY 1.65 | TRY 1.68 | TRY 1.64 | TRY 1.67 | 29 457 773 |
Jan 17, 2020 | TRY 1.66 | TRY 1.67 | TRY 1.64 | TRY 1.64 | 14 787 321 |
Jan 16, 2020 | TRY 1.66 | TRY 1.69 | TRY 1.64 | TRY 1.65 | 29 376 328 |
Jan 15, 2020 | TRY 1.66 | TRY 1.68 | TRY 1.63 | TRY 1.64 | 20 507 359 |
Jan 14, 2020 | TRY 1.68 | TRY 1.68 | TRY 1.65 | TRY 1.67 | 17 137 755 |
Jan 13, 2020 | TRY 1.65 | TRY 1.68 | TRY 1.65 | TRY 1.66 | 24 850 784 |
Jan 10, 2020 | TRY 1.64 | TRY 1.65 | TRY 1.62 | TRY 1.63 | 37 193 050 |
Jan 09, 2020 | TRY 1.58 | TRY 1.63 | TRY 1.57 | TRY 1.63 | 33 680 821 |
Jan 08, 2020 | TRY 1.51 | TRY 1.56 | TRY 1.48 | TRY 1.54 | 18 494 205 |
Jan 07, 2020 | TRY 1.53 | TRY 1.57 | TRY 1.53 | TRY 1.56 | 18 634 679 |
Jan 06, 2020 | TRY 1.57 | TRY 1.57 | TRY 1.50 | TRY 1.51 | 20 723 587 |
Jan 03, 2020 | TRY 1.63 | TRY 1.64 | TRY 1.53 | TRY 1.58 | 36 746 998 |
Jan 02, 2020 | TRY 1.64 | TRY 1.65 | TRY 1.61 | TRY 1.65 | 20 363 061 |
Dec 31, 2019 | TRY 1.64 | TRY 1.65 | TRY 1.62 | TRY 1.63 | 18 919 121 |
Dec 30, 2019 | TRY 1.65 | TRY 1.66 | TRY 1.61 | TRY 1.63 | 20 445 107 |
Dec 27, 2019 | TRY 1.71 | TRY 1.71 | TRY 1.64 | TRY 1.65 | 31 763 627 |
Dec 26, 2019 | TRY 1.73 | TRY 1.74 | TRY 1.69 | TRY 1.70 | 22 924 687 |
Dec 25, 2019 | TRY 1.74 | TRY 1.75 | TRY 1.70 | TRY 1.73 | 28 669 132 |
Dec 24, 2019 | TRY 1.81 | TRY 1.86 | TRY 1.71 | TRY 1.74 | 143 813 693 |
Dec 23, 2019 | TRY 1.64 | TRY 1.76 | TRY 1.62 | TRY 1.75 | 126 598 312 |
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 ZOREN.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the ZOREN.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 ZOREN.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.