BIST:BTCIM
Batiçim Bati Anadolu Çimento Sanayii Stock Price (Quote)
TRY 140.40
+1.00 (+0.717%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 129.80 | TRY 142.10 | Friday, 17th May 2024 BTCIM.IS stock ended at TRY 140.40. This is 0.717% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 4.42% from a day low at TRY 135.80 to a day high of TRY 141.80. |
90 days | TRY 110.60 | TRY 142.10 | |
52 weeks | TRY 35.30 | TRY 190.00 |
Date | Open | High | Low | Close | Volume |
Sep 05, 2018 | TRY 2.83 | TRY 2.86 | TRY 2.80 | TRY 2.85 | 224 302 |
Sep 04, 2018 | TRY 2.82 | TRY 2.86 | TRY 2.81 | TRY 2.82 | 167 517 |
Sep 03, 2018 | TRY 2.79 | TRY 2.86 | TRY 2.78 | TRY 2.85 | 193 451 |
Aug 31, 2018 | TRY 2.85 | TRY 2.86 | TRY 2.80 | TRY 2.81 | 330 333 |
Aug 30, 2018 | TRY 2.86 | TRY 2.86 | TRY 2.86 | TRY 2.86 | 0 |
Aug 29, 2018 | TRY 2.88 | TRY 3.00 | TRY 2.85 | TRY 2.86 | 325 661 |
Aug 28, 2018 | TRY 2.84 | TRY 2.91 | TRY 2.80 | TRY 2.88 | 142 951 |
Aug 27, 2018 | TRY 2.83 | TRY 2.86 | TRY 2.77 | TRY 2.84 | 325 044 |
Aug 24, 2018 | TRY 2.83 | TRY 2.83 | TRY 2.83 | TRY 2.83 | 0 |
Aug 23, 2018 | TRY 2.83 | TRY 2.83 | TRY 2.83 | TRY 2.83 | 0 |
Aug 22, 2018 | TRY 2.83 | TRY 2.83 | TRY 2.83 | TRY 2.83 | 0 |
Aug 21, 2018 | TRY 2.83 | TRY 2.83 | TRY 2.83 | TRY 2.83 | 0 |
Aug 20, 2018 | TRY 2.91 | TRY 2.91 | TRY 2.83 | TRY 2.83 | 157 887 |
Aug 17, 2018 | TRY 2.80 | TRY 2.90 | TRY 2.78 | TRY 2.90 | 149 303 |
Aug 16, 2018 | TRY 2.92 | TRY 2.92 | TRY 2.81 | TRY 2.83 | 198 383 |
Aug 15, 2018 | TRY 3.04 | TRY 3.05 | TRY 2.86 | TRY 2.86 | 334 574 |
Aug 14, 2018 | TRY 2.94 | TRY 3.05 | TRY 2.93 | TRY 2.99 | 300 934 |
Aug 13, 2018 | TRY 3.00 | TRY 3.04 | TRY 2.78 | TRY 2.87 | 332 966 |
Aug 10, 2018 | TRY 3.40 | TRY 3.41 | TRY 2.80 | TRY 3.13 | 353 774 |
Aug 09, 2018 | TRY 3.47 | TRY 3.54 | TRY 3.39 | TRY 3.42 | 439 450 |
Aug 08, 2018 | TRY 3.45 | TRY 3.58 | TRY 3.41 | TRY 3.51 | 653 881 |
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 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.