BIST:BTCIM
Batiçim Bati Anadolu Çimento Sanayii Stock Price (Quote)
TRY 135.90
+3.50 (+2.64%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 129.00 | TRY 145.20 | Friday, 31st May 2024 BTCIM.IS stock ended at TRY 135.90. This is 2.64% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.32% from a day low at TRY 132.50 to a day high of TRY 136.90. |
90 days | TRY 110.60 | TRY 145.20 | |
52 weeks | TRY 36.80 | TRY 190.00 |
Historical Batiçim Bati Anadolu Çimento Sanayii Anonim Sirketi prices
Date | Open | High | Low | Close | Volume |
Mar 21, 2023 | TRY 35.78 | TRY 36.10 | TRY 34.60 | TRY 35.08 | 1 129 754 |
Mar 20, 2023 | TRY 39.50 | TRY 39.50 | TRY 36.04 | TRY 36.24 | 1 968 576 |
Mar 17, 2023 | TRY 39.30 | TRY 39.84 | TRY 38.32 | TRY 39.60 | 2 300 738 |
Mar 16, 2023 | TRY 36.98 | TRY 39.28 | TRY 36.64 | TRY 39.20 | 2 665 535 |
Mar 15, 2023 | TRY 36.00 | TRY 37.00 | TRY 35.08 | TRY 37.00 | 2 185 269 |
Mar 14, 2023 | TRY 35.90 | TRY 36.38 | TRY 35.48 | TRY 36.00 | 1 675 902 |
Mar 13, 2023 | TRY 35.20 | TRY 36.20 | TRY 34.92 | TRY 36.02 | 1 830 811 |
Mar 10, 2023 | TRY 35.18 | TRY 35.40 | TRY 34.78 | TRY 35.08 | 2 032 222 |
Mar 09, 2023 | TRY 34.96 | TRY 36.62 | TRY 34.78 | TRY 35.46 | 6 303 931 |
Mar 08, 2023 | TRY 35.04 | TRY 35.08 | TRY 34.80 | TRY 34.84 | 981 349 |
Mar 07, 2023 | TRY 35.02 | TRY 35.10 | TRY 34.80 | TRY 34.98 | 1 342 513 |
Mar 03, 2023 | TRY 35.54 | TRY 35.70 | TRY 34.72 | TRY 34.90 | 1 054 697 |
Mar 02, 2023 | TRY 34.90 | TRY 36.08 | TRY 34.76 | TRY 35.50 | 2 120 986 |
Mar 01, 2023 | TRY 35.08 | TRY 35.70 | TRY 34.86 | TRY 34.90 | 2 250 085 |
Feb 28, 2023 | TRY 34.56 | TRY 35.26 | TRY 34.28 | TRY 35.02 | 1 444 437 |
Feb 27, 2023 | TRY 35.24 | TRY 35.58 | TRY 34.34 | TRY 34.88 | 2 347 641 |
Feb 24, 2023 | TRY 35.70 | TRY 37.18 | TRY 34.80 | TRY 35.00 | 3 557 848 |
Feb 23, 2023 | TRY 34.64 | TRY 34.88 | TRY 33.48 | TRY 34.34 | 5 030 635 |
Feb 22, 2023 | TRY 42.10 | TRY 42.10 | TRY 37.20 | TRY 37.20 | 2 763 906 |
Feb 21, 2023 | TRY 39.84 | TRY 41.32 | TRY 39.32 | TRY 41.32 | 8 983 885 |
Feb 20, 2023 | TRY 34.16 | TRY 37.58 | TRY 34.00 | TRY 37.58 | 6 098 603 |
Feb 17, 2023 | TRY 34.36 | TRY 35.68 | TRY 33.80 | TRY 34.14 | 2 361 406 |
Feb 16, 2023 | TRY 35.88 | TRY 36.32 | TRY 33.18 | TRY 34.36 | 4 475 485 |
Feb 15, 2023 | TRY 34.00 | TRY 37.84 | TRY 32.42 | TRY 35.78 | 5 993 014 |
Feb 14, 2023 | TRY 31.60 | TRY 31.60 | TRY 31.60 | TRY 31.60 | 0 |
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 BTCIM.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the BTCIM.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 BTCIM.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.