Bossa Ticaret ve Sanayi Isletmeleri Stock Price (Quote)
TRY 15.80
+0.620 (+4.08%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 10.94 | TRY 16.55 | Friday, 17th May 2024 BOSSA.IS stock ended at TRY 15.80. This is 4.08% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 9.40% from a day low at TRY 15.10 to a day high of TRY 16.52. |
90 days | TRY 9.58 | TRY 16.55 | |
52 weeks | TRY 6.15 | TRY 16.55 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | TRY 15.30 | TRY 16.52 | TRY 15.10 | TRY 15.80 | 10 159 821 |
May 16, 2024 | TRY 15.30 | TRY 15.89 | TRY 15.06 | TRY 15.18 | 4 831 712 |
May 15, 2024 | TRY 15.32 | TRY 16.55 | TRY 15.05 | TRY 15.19 | 12 586 305 |
May 14, 2024 | TRY 13.97 | TRY 15.05 | TRY 13.97 | TRY 15.05 | 13 426 743 |
May 13, 2024 | TRY 13.52 | TRY 14.10 | TRY 13.14 | TRY 13.69 | 4 669 271 |
May 10, 2024 | TRY 13.37 | TRY 13.64 | TRY 13.00 | TRY 13.47 | 2 639 990 |
May 09, 2024 | TRY 13.55 | TRY 13.61 | TRY 13.21 | TRY 13.30 | 2 598 264 |
May 08, 2024 | TRY 13.70 | TRY 14.13 | TRY 13.45 | TRY 13.50 | 3 892 443 |
May 07, 2024 | TRY 14.44 | TRY 14.73 | TRY 13.45 | TRY 13.61 | 5 221 947 |
May 06, 2024 | TRY 13.95 | TRY 15.08 | TRY 13.74 | TRY 14.18 | 10 344 022 |
May 03, 2024 | TRY 13.03 | TRY 14.33 | TRY 12.93 | TRY 13.90 | 14 518 157 |
May 02, 2024 | TRY 13.85 | TRY 14.55 | TRY 13.00 | TRY 13.05 | 8 825 045 |
Apr 30, 2024 | TRY 12.40 | TRY 13.64 | TRY 12.25 | TRY 13.64 | 8 776 036 |
Apr 29, 2024 | TRY 11.82 | TRY 12.44 | TRY 11.65 | TRY 12.40 | 3 112 553 |
Apr 26, 2024 | TRY 12.10 | TRY 12.20 | TRY 11.74 | TRY 11.77 | 1 992 175 |
Apr 25, 2024 | TRY 11.69 | TRY 12.27 | TRY 11.65 | TRY 12.08 | 2 325 051 |
Apr 24, 2024 | TRY 11.65 | TRY 12.42 | TRY 11.51 | TRY 11.69 | 4 047 949 |
Apr 22, 2024 | TRY 11.46 | TRY 11.74 | TRY 11.42 | TRY 11.60 | 1 885 441 |
Apr 19, 2024 | TRY 11.01 | TRY 11.59 | TRY 11.01 | TRY 11.45 | 1 807 502 |
Apr 18, 2024 | TRY 11.06 | TRY 11.31 | TRY 11.06 | TRY 11.25 | 1 152 287 |
Apr 17, 2024 | TRY 10.96 | TRY 11.28 | TRY 10.94 | TRY 11.06 | 1 826 916 |
Apr 16, 2024 | TRY 11.26 | TRY 11.27 | TRY 10.70 | TRY 10.89 | 1 534 212 |
Apr 15, 2024 | TRY 11.00 | TRY 11.40 | TRY 10.68 | TRY 11.26 | 1 800 704 |
Apr 09, 2024 | TRY 10.72 | TRY 11.11 | TRY 10.62 | TRY 11.02 | 1 104 261 |
Apr 08, 2024 | TRY 10.48 | TRY 10.98 | TRY 10.43 | TRY 10.71 | 2 218 881 |
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.