BIST:BANVT
Banvit Bandirma Vitaminli Yem Sanayii Stock Price (Quote)
TRY 272.00
-10.75 (-3.80%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 175.80 | TRY 342.00 | Friday, 31st May 2024 BANVT.IS stock ended at TRY 272.00. This is 3.80% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.23% from a day low at TRY 271.00 to a day high of TRY 279.75. |
90 days | TRY 145.80 | TRY 342.00 | |
52 weeks | TRY 72.80 | TRY 342.00 |
Historical Banvit Bandirma Vitaminli Yem Sanayii Anonim Sirketi prices
Date | Open | High | Low | Close | Volume |
Aug 16, 2023 | TRY 94.10 | TRY 99.70 | TRY 94.10 | TRY 97.45 | 602 926 |
Aug 15, 2023 | TRY 97.00 | TRY 97.45 | TRY 92.60 | TRY 94.00 | 308 955 |
Aug 14, 2023 | TRY 89.40 | TRY 97.20 | TRY 89.40 | TRY 97.00 | 709 962 |
Aug 11, 2023 | TRY 87.40 | TRY 89.90 | TRY 84.50 | TRY 89.40 | 139 706 |
Aug 10, 2023 | TRY 91.90 | TRY 93.75 | TRY 87.45 | TRY 87.45 | 270 763 |
Aug 09, 2023 | TRY 94.95 | TRY 94.95 | TRY 91.40 | TRY 91.70 | 140 864 |
Aug 08, 2023 | TRY 96.10 | TRY 96.10 | TRY 91.80 | TRY 93.55 | 340 535 |
Aug 07, 2023 | TRY 91.60 | TRY 96.60 | TRY 90.50 | TRY 96.10 | 496 535 |
Aug 04, 2023 | TRY 89.35 | TRY 91.50 | TRY 89.35 | TRY 91.15 | 182 943 |
Aug 03, 2023 | TRY 89.15 | TRY 93.05 | TRY 88.10 | TRY 89.25 | 380 903 |
Aug 02, 2023 | TRY 86.85 | TRY 89.80 | TRY 86.20 | TRY 88.10 | 161 269 |
Aug 01, 2023 | TRY 88.50 | TRY 88.85 | TRY 86.70 | TRY 86.85 | 116 312 |
Jul 31, 2023 | TRY 89.00 | TRY 90.00 | TRY 88.00 | TRY 88.50 | 155 143 |
Jul 28, 2023 | TRY 88.25 | TRY 89.90 | TRY 86.30 | TRY 88.45 | 141 343 |
Jul 27, 2023 | TRY 87.95 | TRY 89.65 | TRY 87.35 | TRY 88.20 | 114 048 |
Jul 26, 2023 | TRY 88.15 | TRY 88.55 | TRY 86.50 | TRY 87.90 | 102 851 |
Jul 25, 2023 | TRY 91.50 | TRY 92.00 | TRY 86.95 | TRY 88.20 | 183 295 |
Jul 24, 2023 | TRY 89.65 | TRY 92.35 | TRY 89.30 | TRY 90.00 | 336 984 |
Jul 21, 2023 | TRY 85.60 | TRY 89.10 | TRY 84.50 | TRY 88.35 | 315 476 |
Jul 20, 2023 | TRY 85.95 | TRY 87.10 | TRY 85.00 | TRY 85.85 | 108 908 |
Jul 19, 2023 | TRY 86.15 | TRY 87.40 | TRY 83.00 | TRY 85.95 | 114 448 |
Jul 18, 2023 | TRY 88.10 | TRY 88.40 | TRY 86.00 | TRY 86.15 | 160 192 |
Jul 17, 2023 | TRY 86.00 | TRY 88.95 | TRY 84.20 | TRY 88.10 | 324 012 |
Jul 14, 2023 | TRY 87.50 | TRY 88.25 | TRY 84.00 | TRY 85.35 | 135 878 |
Jul 13, 2023 | TRY 83.60 | TRY 88.00 | TRY 83.15 | TRY 86.15 | 453 834 |
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 BANVT.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the BANVT.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 BANVT.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.