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 05, 2024 | TRY 5.16 | TRY 5.49 | TRY 5.01 | TRY 5.17 | 45 781 887 |
Feb 02, 2024 | TRY 4.79 | TRY 5.24 | TRY 4.79 | TRY 5.11 | 47 257 852 |
Feb 01, 2024 | TRY 4.60 | TRY 4.84 | TRY 4.57 | TRY 4.77 | 35 958 734 |
Jan 31, 2024 | TRY 4.49 | TRY 4.62 | TRY 4.47 | TRY 4.59 | 38 290 528 |
Jan 30, 2024 | TRY 4.43 | TRY 4.52 | TRY 4.41 | TRY 4.48 | 14 754 784 |
Jan 29, 2024 | TRY 4.57 | TRY 4.58 | TRY 4.40 | TRY 4.42 | 17 775 136 |
Jan 26, 2024 | TRY 4.59 | TRY 4.66 | TRY 4.50 | TRY 4.58 | 21 570 003 |
Jan 25, 2024 | TRY 4.45 | TRY 4.56 | TRY 4.43 | TRY 4.54 | 21 076 900 |
Jan 24, 2024 | TRY 4.41 | TRY 4.49 | TRY 4.41 | TRY 4.43 | 18 420 040 |
Jan 23, 2024 | TRY 4.42 | TRY 4.49 | TRY 4.38 | TRY 4.39 | 24 422 819 |
Jan 22, 2024 | TRY 4.33 | TRY 4.50 | TRY 4.29 | TRY 4.41 | 34 914 858 |
Jan 19, 2024 | TRY 4.67 | TRY 4.75 | TRY 4.17 | TRY 4.30 | 100 631 452 |
Jan 18, 2024 | TRY 4.57 | TRY 4.69 | TRY 4.56 | TRY 4.63 | 15 119 013 |
Jan 17, 2024 | TRY 4.44 | TRY 4.60 | TRY 4.37 | TRY 4.54 | 21 229 583 |
Jan 16, 2024 | TRY 4.33 | TRY 4.51 | TRY 4.31 | TRY 4.44 | 18 496 460 |
Jan 15, 2024 | TRY 4.24 | TRY 4.45 | TRY 4.20 | TRY 4.35 | 18 515 227 |
Jan 12, 2024 | TRY 4.10 | TRY 4.27 | TRY 4.07 | TRY 4.20 | 17 123 474 |
Jan 11, 2024 | TRY 4.09 | TRY 4.23 | TRY 4.08 | TRY 4.09 | 10 401 359 |
Jan 10, 2024 | TRY 4.11 | TRY 4.14 | TRY 4.02 | TRY 4.10 | 6 627 914 |
Jan 09, 2024 | TRY 4.23 | TRY 4.26 | TRY 4.10 | TRY 4.10 | 10 583 968 |
Jan 08, 2024 | TRY 4.08 | TRY 4.35 | TRY 4.06 | TRY 4.20 | 15 258 306 |
Jan 05, 2024 | TRY 3.88 | TRY 4.07 | TRY 3.86 | TRY 4.07 | 12 587 181 |
Jan 04, 2024 | TRY 3.84 | TRY 3.90 | TRY 3.78 | TRY 3.86 | 5 595 606 |
Jan 03, 2024 | TRY 4.01 | TRY 4.02 | TRY 3.81 | TRY 3.83 | 7 284 368 |
Jan 02, 2024 | TRY 3.90 | TRY 4.07 | TRY 3.85 | TRY 3.98 | 13 122 401 |
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.