BIST:TMSN
Tümosan Motor ve Traktör Sanayi A.S. Stock Price (Quote)
TRY 155.00
+1.10 (+0.715%)
At Close: May 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 149.80 | TRY 204.00 | Tuesday, 14th May 2024 TMSN.IS stock ended at TRY 155.00. This is 0.715% more than the trading day before Monday, 13th May 2024. During the day the stock fluctuated 3.93% from a day low at TRY 152.60 to a day high of TRY 158.60. |
90 days | TRY 109.30 | TRY 204.00 | |
52 weeks | TRY 39.10 | TRY 204.00 |
Date | Open | High | Low | Close | Volume |
Aug 29, 2019 | TRY 3.91 | TRY 3.96 | TRY 3.90 | TRY 3.90 | 1 362 390 |
Aug 28, 2019 | TRY 3.92 | TRY 3.94 | TRY 3.88 | TRY 3.91 | 847 910 |
Aug 27, 2019 | TRY 3.91 | TRY 4.01 | TRY 3.88 | TRY 3.90 | 3 135 171 |
Aug 26, 2019 | TRY 3.80 | TRY 3.94 | TRY 3.78 | TRY 3.90 | 1 645 581 |
Aug 23, 2019 | TRY 3.82 | TRY 3.84 | TRY 3.78 | TRY 3.82 | 846 357 |
Aug 22, 2019 | TRY 3.85 | TRY 3.88 | TRY 3.76 | TRY 3.80 | 727 359 |
Aug 21, 2019 | TRY 3.82 | TRY 3.88 | TRY 3.82 | TRY 3.86 | 921 002 |
Aug 20, 2019 | TRY 3.83 | TRY 3.86 | TRY 3.81 | TRY 3.83 | 537 246 |
Aug 19, 2019 | TRY 3.87 | TRY 3.91 | TRY 3.86 | TRY 3.86 | 362 494 |
Aug 16, 2019 | TRY 3.91 | TRY 3.93 | TRY 3.85 | TRY 3.87 | 614 759 |
Aug 15, 2019 | TRY 3.91 | TRY 3.94 | TRY 3.86 | TRY 3.90 | 594 620 |
Aug 14, 2019 | TRY 3.94 | TRY 3.94 | TRY 3.94 | TRY 3.94 | 0 |
Aug 13, 2019 | TRY 3.94 | TRY 3.94 | TRY 3.94 | TRY 3.94 | 0 |
Aug 12, 2019 | TRY 3.94 | TRY 3.94 | TRY 3.94 | TRY 3.94 | 0 |
Aug 09, 2019 | TRY 3.99 | TRY 4.00 | TRY 3.91 | TRY 3.94 | 722 480 |
Aug 08, 2019 | TRY 3.99 | TRY 4.02 | TRY 3.95 | TRY 3.95 | 440 355 |
Aug 07, 2019 | TRY 4.12 | TRY 4.17 | TRY 3.95 | TRY 3.98 | 1 071 641 |
Aug 06, 2019 | TRY 4.10 | TRY 4.15 | TRY 4.10 | TRY 4.11 | 492 027 |
Aug 05, 2019 | TRY 4.14 | TRY 4.21 | TRY 4.10 | TRY 4.10 | 737 717 |
Aug 02, 2019 | TRY 4.26 | TRY 4.34 | TRY 4.16 | TRY 4.18 | 2 131 154 |
Aug 01, 2019 | TRY 4.15 | TRY 4.29 | TRY 4.13 | TRY 4.27 | 2 333 259 |
Jul 31, 2019 | TRY 4.13 | TRY 4.29 | TRY 4.12 | TRY 4.17 | 3 912 566 |
Jul 30, 2019 | TRY 4.17 | TRY 4.22 | TRY 4.12 | TRY 4.13 | 1 496 498 |
Jul 29, 2019 | TRY 4.23 | TRY 4.27 | TRY 4.11 | TRY 4.17 | 4 944 121 |
Jul 26, 2019 | TRY 4.06 | TRY 4.22 | TRY 4.02 | TRY 4.21 | 3 346 227 |
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 TMSN.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the TMSN.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 TMSN.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.