BIST:TMSN
Tümosan Motor ve Traktör Sanayi A.S. Stock Price (Quote)
TRY 153.90
-3.60 (-2.29%)
At Close: May 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 149.80 | TRY 204.00 | Monday, 13th May 2024 TMSN.IS stock ended at TRY 153.90. This is 2.29% less than the trading day before Friday, 10th May 2024. During the day the stock fluctuated 3.73% from a day low at TRY 152.80 to a day high of TRY 158.50. |
90 days | TRY 108.00 | TRY 204.00 | |
52 weeks | TRY 36.70 | TRY 204.00 |
Date | Open | High | Low | Close | Volume |
Oct 04, 2019 | TRY 5.07 | TRY 5.13 | TRY 4.89 | TRY 4.91 | 6 551 564 |
Oct 03, 2019 | TRY 4.95 | TRY 5.35 | TRY 4.95 | TRY 5.04 | 30 122 619 |
Oct 02, 2019 | TRY 4.65 | TRY 4.83 | TRY 4.62 | TRY 4.70 | 4 543 250 |
Oct 01, 2019 | TRY 4.80 | TRY 4.84 | TRY 4.61 | TRY 4.64 | 5 114 726 |
Sep 30, 2019 | TRY 4.45 | TRY 4.84 | TRY 4.39 | TRY 4.80 | 8 762 143 |
Sep 27, 2019 | TRY 4.26 | TRY 4.42 | TRY 4.25 | TRY 4.42 | 3 914 529 |
Sep 26, 2019 | TRY 4.25 | TRY 4.33 | TRY 4.21 | TRY 4.24 | 2 553 109 |
Sep 25, 2019 | TRY 4.17 | TRY 4.27 | TRY 4.14 | TRY 4.21 | 2 212 393 |
Sep 24, 2019 | TRY 4.15 | TRY 4.21 | TRY 4.14 | TRY 4.17 | 1 732 773 |
Sep 23, 2019 | TRY 4.30 | TRY 4.32 | TRY 4.10 | TRY 4.11 | 1 678 629 |
Sep 20, 2019 | TRY 4.49 | TRY 4.50 | TRY 4.26 | TRY 4.28 | 2 611 701 |
Sep 19, 2019 | TRY 4.40 | TRY 4.50 | TRY 4.38 | TRY 4.48 | 2 990 802 |
Sep 18, 2019 | TRY 4.39 | TRY 4.43 | TRY 4.34 | TRY 4.38 | 1 344 391 |
Sep 17, 2019 | TRY 4.54 | TRY 4.54 | TRY 4.35 | TRY 4.40 | 2 536 868 |
Sep 16, 2019 | TRY 4.44 | TRY 4.54 | TRY 4.39 | TRY 4.43 | 2 413 549 |
Sep 13, 2019 | TRY 4.33 | TRY 4.41 | TRY 4.30 | TRY 4.36 | 3 066 565 |
Sep 12, 2019 | TRY 4.37 | TRY 4.44 | TRY 4.32 | TRY 4.32 | 2 839 629 |
Sep 10, 2019 | TRY 4.15 | TRY 4.32 | TRY 4.15 | TRY 4.21 | 3 802 007 |
Sep 09, 2019 | TRY 4.10 | TRY 4.19 | TRY 4.10 | TRY 4.13 | 1 237 111 |
Sep 06, 2019 | TRY 4.20 | TRY 4.23 | TRY 4.07 | TRY 4.07 | 1 742 111 |
Sep 05, 2019 | TRY 4.09 | TRY 4.22 | TRY 4.14 | TRY 4.18 | 1 485 690 |
Sep 04, 2019 | TRY 4.09 | TRY 4.19 | TRY 4.05 | TRY 4.16 | 2 298 332 |
Sep 03, 2019 | TRY 3.97 | TRY 4.08 | TRY 3.96 | TRY 4.08 | 1 609 791 |
Sep 02, 2019 | TRY 3.92 | TRY 3.98 | TRY 3.92 | TRY 3.96 | 1 119 973 |
Aug 29, 2019 | TRY 3.91 | TRY 3.96 | TRY 3.90 | TRY 3.90 | 1 362 390 |
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.