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 |
Oct 10, 2018 | TRY 2.67 | TRY 2.69 | TRY 2.56 | TRY 2.65 | 126 341 |
Oct 09, 2018 | TRY 2.64 | TRY 2.69 | TRY 2.63 | TRY 2.68 | 149 203 |
Oct 08, 2018 | TRY 2.70 | TRY 2.70 | TRY 2.50 | TRY 2.65 | 192 595 |
Oct 05, 2018 | TRY 2.70 | TRY 2.71 | TRY 2.61 | TRY 2.66 | 160 220 |
Oct 04, 2018 | TRY 2.80 | TRY 2.80 | TRY 2.69 | TRY 2.71 | 178 209 |
Oct 03, 2018 | TRY 2.82 | TRY 2.82 | TRY 2.79 | TRY 2.80 | 74 258 |
Oct 02, 2018 | TRY 2.83 | TRY 2.84 | TRY 2.80 | TRY 2.81 | 118 122 |
Oct 01, 2018 | TRY 2.88 | TRY 2.88 | TRY 2.81 | TRY 2.83 | 211 092 |
Sep 28, 2018 | TRY 2.87 | TRY 2.91 | TRY 2.85 | TRY 2.87 | 149 904 |
Sep 27, 2018 | TRY 2.85 | TRY 2.87 | TRY 2.83 | TRY 2.86 | 153 865 |
Sep 26, 2018 | TRY 2.88 | TRY 2.89 | TRY 2.84 | TRY 2.85 | 137 074 |
Sep 25, 2018 | TRY 2.89 | TRY 2.93 | TRY 2.85 | TRY 2.89 | 500 673 |
Sep 24, 2018 | TRY 2.87 | TRY 2.90 | TRY 2.86 | TRY 2.89 | 233 139 |
Sep 21, 2018 | TRY 2.88 | TRY 2.90 | TRY 2.87 | TRY 2.90 | 236 662 |
Sep 20, 2018 | TRY 2.91 | TRY 2.92 | TRY 2.86 | TRY 2.89 | 215 158 |
Sep 19, 2018 | TRY 2.89 | TRY 2.94 | TRY 2.87 | TRY 2.91 | 437 277 |
Sep 18, 2018 | TRY 2.95 | TRY 2.97 | TRY 2.84 | TRY 2.89 | 580 610 |
Sep 17, 2018 | TRY 2.97 | TRY 2.98 | TRY 2.91 | TRY 2.95 | 481 769 |
Sep 14, 2018 | TRY 3.07 | TRY 3.18 | TRY 2.95 | TRY 2.97 | 1 254 301 |
Sep 13, 2018 | TRY 2.91 | TRY 2.99 | TRY 2.88 | TRY 2.97 | 448 025 |
Sep 12, 2018 | TRY 2.92 | TRY 2.97 | TRY 2.90 | TRY 2.91 | 407 446 |
Sep 11, 2018 | TRY 2.83 | TRY 2.92 | TRY 2.83 | TRY 2.91 | 275 756 |
Sep 10, 2018 | TRY 2.87 | TRY 2.89 | TRY 2.83 | TRY 2.86 | 224 313 |
Sep 07, 2018 | TRY 2.84 | TRY 2.90 | TRY 2.82 | TRY 2.84 | 174 648 |
Sep 06, 2018 | TRY 2.85 | TRY 2.88 | TRY 2.84 | TRY 2.84 | 134 948 |
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.