TRY 8.07
+0.0200 (+0.248%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | TRY 6.89 | TRY 16.77 | Tuesday, 18th Nov 2025 ESEN.IS stock ended at TRY 8.07. This is 0.248% more than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 6.18% from a day low at TRY 7.77 to a day high of TRY 8.25. |
| 90 days | TRY 6.89 | TRY 16.77 | |
| 52 weeks | TRY 2.72 | TRY 20.30 |
Historical Esenboga Elektrik Üretim A.S. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | TRY 8.05 | TRY 8.25 | TRY 7.77 | TRY 8.07 | 43 859 070 |
| Nov 17, 2025 | TRY 7.79 | TRY 8.18 | TRY 7.55 | TRY 8.05 | 61 255 815 |
| Nov 14, 2025 | TRY 7.56 | TRY 7.91 | TRY 7.41 | TRY 7.79 | 58 062 464 |
| Nov 13, 2025 | TRY 7.13 | TRY 7.70 | TRY 7.06 | TRY 7.56 | 73 565 028 |
| Nov 12, 2025 | TRY 7.04 | TRY 7.19 | TRY 6.97 | TRY 7.12 | 33 130 608 |
| Nov 11, 2025 | TRY 7.23 | TRY 7.29 | TRY 6.89 | TRY 7.03 | 52 509 983 |
| Nov 10, 2025 | TRY 7.30 | TRY 7.38 | TRY 7.15 | TRY 7.23 | 46 456 150 |
| Nov 07, 2025 | TRY 7.17 | TRY 7.46 | TRY 7.02 | TRY 7.32 | 68 721 788 |
| Nov 06, 2025 | TRY 7.19 | TRY 7.23 | TRY 7.07 | TRY 7.18 | 45 708 797 |
| Nov 05, 2025 | TRY 7.20 | TRY 7.36 | TRY 6.95 | TRY 7.17 | 86 722 210 |
| Nov 04, 2025 | TRY 7.04 | TRY 7.34 | TRY 6.91 | TRY 7.16 | 141 380 119 |
| Nov 03, 2025 | TRY 7.35 | TRY 7.94 | TRY 7.03 | TRY 7.03 | 314 380 754 |
| Oct 31, 2025 | TRY 8.06 | TRY 8.43 | TRY 7.81 | TRY 7.81 | 250 797 132 |
| Oct 30, 2025 | TRY 9.48 | TRY 9.53 | TRY 8.67 | TRY 8.67 | 104 353 891 |
| Oct 28, 2025 | TRY 10.09 | TRY 10.24 | TRY 9.63 | TRY 9.63 | 48 796 744 |
| Oct 27, 2025 | TRY 11.81 | TRY 11.81 | TRY 10.69 | TRY 10.69 | 70 356 382 |
| Oct 24, 2025 | TRY 12.22 | TRY 12.41 | TRY 11.87 | TRY 11.87 | 62 279 660 |
| Oct 23, 2025 | TRY 14.04 | TRY 14.17 | TRY 13.18 | TRY 13.18 | 17 459 549 |
| Oct 22, 2025 | TRY 14.64 | TRY 16.00 | TRY 14.64 | TRY 14.64 | 26 986 487 |
| Oct 21, 2025 | TRY 15.26 | TRY 16.77 | TRY 13.73 | TRY 16.26 | 39 158 973 |
| Oct 20, 2025 | TRY 14.89 | TRY 15.60 | TRY 14.63 | TRY 15.25 | 66 951 577 |
| Oct 17, 2025 | TRY 14.88 | TRY 14.93 | TRY 14.23 | TRY 14.92 | 29 067 480 |
| Oct 16, 2025 | TRY 14.80 | TRY 15.00 | TRY 14.20 | TRY 14.95 | 72 864 255 |
| Oct 15, 2025 | TRY 14.33 | TRY 14.80 | TRY 14.17 | TRY 14.80 | 19 284 600 |
| Oct 14, 2025 | TRY 14.20 | TRY 14.42 | TRY 14.06 | TRY 14.33 | 17 732 563 |
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 ESEN.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the ESEN.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 ESEN.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.
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