BIST:BTCIM
Batiçim Bati Anadolu Çimento Sanayii Stock Price (Quote)
TRY 136.40
-1.60 (-1.16%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 133.60 | TRY 145.20 | Friday, 24th May 2024 BTCIM.IS stock ended at TRY 136.40. This is 1.16% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 2.82% from a day low at TRY 134.60 to a day high of TRY 138.40. |
90 days | TRY 110.60 | TRY 145.20 | |
52 weeks | TRY 35.30 | TRY 190.00 |
Date | Open | High | Low | Close | Volume |
Aug 09, 2023 | TRY 53.70 | TRY 54.25 | TRY 53.45 | TRY 53.90 | 679 176 |
Aug 08, 2023 | TRY 54.10 | TRY 54.25 | TRY 53.30 | TRY 53.85 | 1 150 918 |
Aug 07, 2023 | TRY 55.25 | TRY 55.45 | TRY 53.80 | TRY 54.05 | 1 059 235 |
Aug 04, 2023 | TRY 55.25 | TRY 55.90 | TRY 54.60 | TRY 55.15 | 1 137 316 |
Aug 03, 2023 | TRY 53.65 | TRY 56.50 | TRY 53.35 | TRY 55.20 | 2 873 117 |
Aug 02, 2023 | TRY 52.40 | TRY 57.50 | TRY 51.90 | TRY 53.00 | 3 954 568 |
Aug 01, 2023 | TRY 52.40 | TRY 52.60 | TRY 51.05 | TRY 52.30 | 715 217 |
Jul 31, 2023 | TRY 52.60 | TRY 53.05 | TRY 51.50 | TRY 51.80 | 1 898 280 |
Jul 28, 2023 | TRY 53.85 | TRY 53.95 | TRY 51.75 | TRY 52.50 | 1 043 336 |
Jul 27, 2023 | TRY 50.70 | TRY 54.00 | TRY 50.50 | TRY 53.90 | 2 273 671 |
Jul 26, 2023 | TRY 50.15 | TRY 51.35 | TRY 49.30 | TRY 50.60 | 5 861 585 |
Jul 25, 2023 | TRY 51.85 | TRY 52.00 | TRY 49.94 | TRY 50.00 | 876 330 |
Jul 24, 2023 | TRY 49.32 | TRY 53.40 | TRY 49.22 | TRY 52.00 | 1 863 732 |
Jul 21, 2023 | TRY 49.30 | TRY 50.40 | TRY 49.06 | TRY 49.10 | 778 008 |
Jul 20, 2023 | TRY 49.02 | TRY 49.36 | TRY 48.70 | TRY 49.02 | 793 457 |
Jul 19, 2023 | TRY 49.40 | TRY 49.52 | TRY 48.94 | TRY 49.00 | 580 619 |
Jul 18, 2023 | TRY 49.44 | TRY 49.78 | TRY 48.90 | TRY 49.34 | 1 363 576 |
Jul 17, 2023 | TRY 49.68 | TRY 49.72 | TRY 49.08 | TRY 49.50 | 878 234 |
Jul 14, 2023 | TRY 48.66 | TRY 49.70 | TRY 48.18 | TRY 49.70 | 465 442 |
Jul 13, 2023 | TRY 49.70 | TRY 49.98 | TRY 47.94 | TRY 48.50 | 689 397 |
Jul 12, 2023 | TRY 48.22 | TRY 49.70 | TRY 47.82 | TRY 49.68 | 816 834 |
Jul 11, 2023 | TRY 48.56 | TRY 50.40 | TRY 47.58 | TRY 47.90 | 3 193 884 |
Jul 10, 2023 | TRY 47.00 | TRY 48.52 | TRY 46.92 | TRY 48.48 | 1 372 276 |
Jul 07, 2023 | TRY 46.90 | TRY 47.06 | TRY 46.66 | TRY 46.88 | 552 768 |
Jul 06, 2023 | TRY 47.14 | TRY 47.84 | TRY 46.72 | TRY 46.74 | 1 391 107 |
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.