BIST:BOSSA
Bossa Ticaret ve Sanayi Isletmeleri Stock Price (Quote)
TRY 17.08
-0.600 (-3.39%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 12.93 | TRY 19.71 | Friday, 31st May 2024 BOSSA.IS stock ended at TRY 17.08. This is 3.39% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 8.27% from a day low at TRY 16.80 to a day high of TRY 18.19. |
90 days | TRY 9.58 | TRY 19.71 | |
52 weeks | TRY 6.15 | TRY 19.71 |
Historical Bossa Ticaret ve Sanayi Isletmeleri T.A.S. prices
Date | Open | High | Low | Close | Volume |
Mar 15, 2024 | TRY 10.69 | TRY 11.05 | TRY 10.55 | TRY 10.60 | 845 114 |
Mar 14, 2024 | TRY 10.51 | TRY 10.89 | TRY 10.51 | TRY 10.69 | 548 197 |
Mar 13, 2024 | TRY 10.78 | TRY 10.85 | TRY 10.51 | TRY 10.63 | 827 214 |
Mar 12, 2024 | TRY 11.41 | TRY 11.41 | TRY 10.65 | TRY 10.69 | 1 208 920 |
Mar 11, 2024 | TRY 11.40 | TRY 11.55 | TRY 11.22 | TRY 11.30 | 1 948 216 |
Mar 08, 2024 | TRY 11.40 | TRY 11.40 | TRY 11.02 | TRY 11.25 | 1 295 681 |
Mar 07, 2024 | TRY 11.21 | TRY 11.46 | TRY 11.18 | TRY 11.33 | 1 685 672 |
Mar 06, 2024 | TRY 11.97 | TRY 12.01 | TRY 10.94 | TRY 11.16 | 1 683 852 |
Mar 05, 2024 | TRY 11.39 | TRY 12.27 | TRY 11.28 | TRY 11.97 | 3 904 066 |
Mar 04, 2024 | TRY 11.43 | TRY 11.68 | TRY 11.28 | TRY 11.36 | 1 720 395 |
Mar 01, 2024 | TRY 11.90 | TRY 11.98 | TRY 11.35 | TRY 11.39 | 1 595 924 |
Feb 29, 2024 | TRY 11.49 | TRY 11.81 | TRY 11.20 | TRY 11.50 | 1 294 636 |
Feb 28, 2024 | TRY 11.20 | TRY 11.68 | TRY 10.91 | TRY 11.49 | 1 626 125 |
Feb 27, 2024 | TRY 11.35 | TRY 11.66 | TRY 11.02 | TRY 11.16 | 1 503 438 |
Feb 26, 2024 | TRY 11.65 | TRY 11.90 | TRY 11.30 | TRY 11.30 | 1 514 247 |
Feb 23, 2024 | TRY 11.65 | TRY 11.93 | TRY 11.21 | TRY 11.76 | 1 660 224 |
Feb 22, 2024 | TRY 11.30 | TRY 11.75 | TRY 11.21 | TRY 11.65 | 1 444 410 |
Feb 21, 2024 | TRY 11.80 | TRY 11.80 | TRY 11.04 | TRY 11.29 | 1 702 170 |
Feb 20, 2024 | TRY 12.03 | TRY 12.03 | TRY 11.41 | TRY 11.71 | 1 300 238 |
Feb 19, 2024 | TRY 12.03 | TRY 12.52 | TRY 11.55 | TRY 11.55 | 2 610 441 |
Feb 16, 2024 | TRY 11.61 | TRY 11.92 | TRY 11.50 | TRY 11.92 | 1 530 478 |
Feb 15, 2024 | TRY 11.50 | TRY 11.95 | TRY 11.48 | TRY 11.60 | 2 349 156 |
Feb 14, 2024 | TRY 10.92 | TRY 11.55 | TRY 10.71 | TRY 11.45 | 2 028 290 |
Feb 13, 2024 | TRY 10.96 | TRY 11.34 | TRY 10.80 | TRY 10.89 | 1 923 000 |
Feb 12, 2024 | TRY 10.85 | TRY 11.47 | TRY 10.81 | TRY 10.95 | 3 160 281 |
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 BOSSA.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the BOSSA.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 BOSSA.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.