BIST:MARTI
Marti Otel Isletmeleri A.S. Stock Price (Quote)
TRY 3.91
-0.1000 (-2.49%)
At Close: May 27, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 3.90 | TRY 4.34 | Monday, 27th May 2024 MARTI.IS stock ended at TRY 3.91. This is 2.49% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 3.59% from a day low at TRY 3.90 to a day high of TRY 4.04. |
90 days | TRY 3.88 | TRY 5.82 | |
52 weeks | TRY 2.83 | TRY 5.97 |
Date | Open | High | Low | Close | Volume |
Feb 10, 2022 | TRY 1.90 | TRY 1.91 | TRY 1.89 | TRY 1.90 | 2 439 441 |
Feb 09, 2022 | TRY 1.90 | TRY 1.92 | TRY 1.90 | TRY 1.90 | 2 687 792 |
Feb 08, 2022 | TRY 1.91 | TRY 1.93 | TRY 1.89 | TRY 1.91 | 3 712 550 |
Feb 07, 2022 | TRY 1.91 | TRY 1.94 | TRY 1.86 | TRY 1.91 | 9 973 039 |
Feb 04, 2022 | TRY 1.86 | TRY 1.97 | TRY 1.86 | TRY 1.90 | 20 590 617 |
Feb 03, 2022 | TRY 1.88 | TRY 1.88 | TRY 1.86 | TRY 1.87 | 1 834 341 |
Feb 02, 2022 | TRY 1.87 | TRY 1.88 | TRY 1.87 | TRY 1.88 | 2 269 565 |
Feb 01, 2022 | TRY 1.89 | TRY 1.89 | TRY 1.86 | TRY 1.87 | 2 882 521 |
Jan 31, 2022 | TRY 1.89 | TRY 1.89 | TRY 1.88 | TRY 1.89 | 1 917 002 |
Jan 28, 2022 | TRY 1.89 | TRY 1.90 | TRY 1.87 | TRY 1.89 | 4 525 990 |
Jan 27, 2022 | TRY 1.87 | TRY 1.89 | TRY 1.86 | TRY 1.88 | 3 151 771 |
Jan 26, 2022 | TRY 1.87 | TRY 1.89 | TRY 1.86 | TRY 1.88 | 4 021 880 |
Jan 25, 2022 | TRY 1.86 | TRY 1.89 | TRY 1.85 | TRY 1.88 | 3 572 651 |
Jan 24, 2022 | TRY 1.90 | TRY 1.91 | TRY 1.84 | TRY 1.87 | 9 021 534 |
Jan 21, 2022 | TRY 1.97 | TRY 1.97 | TRY 1.89 | TRY 1.90 | 8 020 997 |
Jan 20, 2022 | TRY 1.87 | TRY 1.94 | TRY 1.85 | TRY 1.92 | 21 974 235 |
Jan 19, 2022 | TRY 1.86 | TRY 1.89 | TRY 1.84 | TRY 1.87 | 8 926 100 |
Jan 18, 2022 | TRY 1.92 | TRY 1.95 | TRY 1.85 | TRY 1.86 | 10 185 118 |
Jan 17, 2022 | TRY 1.93 | TRY 1.95 | TRY 1.90 | TRY 1.92 | 14 135 463 |
Jan 14, 2022 | TRY 1.91 | TRY 1.93 | TRY 1.89 | TRY 1.92 | 11 013 567 |
Jan 13, 2022 | TRY 1.89 | TRY 1.97 | TRY 1.88 | TRY 1.90 | 23 635 920 |
Jan 12, 2022 | TRY 1.89 | TRY 1.91 | TRY 1.88 | TRY 1.88 | 4 033 315 |
Jan 11, 2022 | TRY 1.87 | TRY 1.89 | TRY 1.86 | TRY 1.89 | 3 041 092 |
Jan 10, 2022 | TRY 1.87 | TRY 1.90 | TRY 1.85 | TRY 1.87 | 6 850 770 |
Jan 07, 2022 | TRY 1.87 | TRY 1.90 | TRY 1.85 | TRY 1.86 | 4 265 045 |
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 MARTI.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the MARTI.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 MARTI.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.