TRY 8.61
-0.0800 (-0.92%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | TRY 8.31 | TRY 10.40 | Tuesday, 18th Nov 2025 MOGAN.IS stock ended at TRY 8.61. This is 0.92% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 2.11% from a day low at TRY 8.54 to a day high of TRY 8.72. |
| 90 days | TRY 8.31 | TRY 10.75 | |
| 52 weeks | TRY 7.66 | TRY 11.36 |
Historical MOGAN ENERJI prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | TRY 8.69 | TRY 8.72 | TRY 8.54 | TRY 8.61 | 2 771 102 |
| Nov 17, 2025 | TRY 8.55 | TRY 8.71 | TRY 8.50 | TRY 8.69 | 3 703 809 |
| Nov 14, 2025 | TRY 8.42 | TRY 8.78 | TRY 8.31 | TRY 8.43 | 3 259 275 |
| Nov 13, 2025 | TRY 8.50 | TRY 8.62 | TRY 8.42 | TRY 8.42 | 3 339 968 |
| Nov 12, 2025 | TRY 8.71 | TRY 8.75 | TRY 8.45 | TRY 8.46 | 7 727 422 |
| Nov 11, 2025 | TRY 8.89 | TRY 9.16 | TRY 8.63 | TRY 8.66 | 10 771 459 |
| Nov 10, 2025 | TRY 9.51 | TRY 9.67 | TRY 9.33 | TRY 9.33 | 4 736 185 |
| Nov 07, 2025 | TRY 10.05 | TRY 10.10 | TRY 9.55 | TRY 9.58 | 5 033 331 |
| Nov 06, 2025 | TRY 10.07 | TRY 10.40 | TRY 9.97 | TRY 10.10 | 9 602 364 |
| Nov 05, 2025 | TRY 9.69 | TRY 10.34 | TRY 9.56 | TRY 10.12 | 11 331 217 |
| Nov 04, 2025 | TRY 9.83 | TRY 9.83 | TRY 9.54 | TRY 9.69 | 4 278 542 |
| Nov 03, 2025 | TRY 9.60 | TRY 9.90 | TRY 9.57 | TRY 9.82 | 5 656 900 |
| Oct 31, 2025 | TRY 9.54 | TRY 9.68 | TRY 9.45 | TRY 9.55 | 4 733 576 |
| Oct 30, 2025 | TRY 9.39 | TRY 9.90 | TRY 9.33 | TRY 9.52 | 5 540 410 |
| Oct 28, 2025 | TRY 9.27 | TRY 9.41 | TRY 9.23 | TRY 9.30 | 1 360 085 |
| Oct 27, 2025 | TRY 9.35 | TRY 9.40 | TRY 9.27 | TRY 9.27 | 3 096 151 |
| Oct 24, 2025 | TRY 8.92 | TRY 9.35 | TRY 8.92 | TRY 9.35 | 5 842 428 |
| Oct 23, 2025 | TRY 8.98 | TRY 9.09 | TRY 8.92 | TRY 8.92 | 3 453 727 |
| Oct 22, 2025 | TRY 8.96 | TRY 9.06 | TRY 8.91 | TRY 8.96 | 3 623 711 |
| Oct 21, 2025 | TRY 9.03 | TRY 9.07 | TRY 8.90 | TRY 8.92 | 3 492 583 |
| Oct 20, 2025 | TRY 8.90 | TRY 9.03 | TRY 8.74 | TRY 9.01 | 4 474 960 |
| Oct 17, 2025 | TRY 8.99 | TRY 8.99 | TRY 8.70 | TRY 8.85 | 5 051 722 |
| Oct 16, 2025 | TRY 9.10 | TRY 9.16 | TRY 8.93 | TRY 8.94 | 4 234 712 |
| Oct 15, 2025 | TRY 8.95 | TRY 9.13 | TRY 8.90 | TRY 9.11 | 3 966 765 |
| Oct 14, 2025 | TRY 9.21 | TRY 9.27 | TRY 8.93 | TRY 8.93 | 5 507 767 |
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 MOGAN.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the MOGAN.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 MOGAN.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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