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 |
Jan 26, 2024 | TRY 114.20 | TRY 118.60 | TRY 113.70 | TRY 117.90 | 2 282 012 |
Jan 25, 2024 | TRY 107.50 | TRY 114.20 | TRY 106.50 | TRY 113.40 | 2 040 911 |
Jan 24, 2024 | TRY 105.80 | TRY 108.90 | TRY 104.10 | TRY 107.00 | 1 494 001 |
Jan 23, 2024 | TRY 104.70 | TRY 107.00 | TRY 102.30 | TRY 105.60 | 1 937 353 |
Jan 22, 2024 | TRY 98.30 | TRY 106.70 | TRY 97.55 | TRY 101.50 | 2 397 244 |
Jan 19, 2024 | TRY 95.00 | TRY 99.35 | TRY 93.25 | TRY 97.95 | 2 254 492 |
Jan 18, 2024 | TRY 93.00 | TRY 97.40 | TRY 93.00 | TRY 94.50 | 2 127 028 |
Jan 17, 2024 | TRY 95.65 | TRY 96.65 | TRY 91.90 | TRY 92.80 | 2 009 341 |
Jan 16, 2024 | TRY 98.50 | TRY 100.00 | TRY 91.25 | TRY 95.65 | 5 994 077 |
Jan 15, 2024 | TRY 108.30 | TRY 110.70 | TRY 100.10 | TRY 100.90 | 2 314 734 |
Jan 12, 2024 | TRY 109.00 | TRY 110.90 | TRY 107.30 | TRY 108.10 | 1 196 964 |
Jan 11, 2024 | TRY 116.00 | TRY 118.00 | TRY 107.50 | TRY 109.60 | 1 277 356 |
Jan 10, 2024 | TRY 114.00 | TRY 117.00 | TRY 113.50 | TRY 115.50 | 726 703 |
Jan 09, 2024 | TRY 116.50 | TRY 118.00 | TRY 112.00 | TRY 115.00 | 1 120 301 |
Jan 08, 2024 | TRY 118.00 | TRY 120.10 | TRY 114.30 | TRY 115.80 | 978 215 |
Jan 05, 2024 | TRY 117.00 | TRY 118.00 | TRY 114.50 | TRY 117.00 | 727 205 |
Jan 04, 2024 | TRY 122.50 | TRY 123.00 | TRY 115.40 | TRY 115.90 | 1 340 007 |
Jan 03, 2024 | TRY 122.30 | TRY 124.60 | TRY 118.70 | TRY 122.40 | 1 215 337 |
Jan 02, 2024 | TRY 117.00 | TRY 124.00 | TRY 116.60 | TRY 122.20 | 1 849 667 |
Dec 29, 2023 | TRY 113.90 | TRY 119.00 | TRY 113.90 | TRY 116.60 | 1 908 139 |
Dec 28, 2023 | TRY 107.10 | TRY 115.10 | TRY 106.20 | TRY 112.00 | 1 322 969 |
Dec 27, 2023 | TRY 109.40 | TRY 111.10 | TRY 105.80 | TRY 107.10 | 1 266 248 |
Dec 26, 2023 | TRY 108.20 | TRY 111.60 | TRY 106.50 | TRY 109.00 | 1 157 151 |
Dec 25, 2023 | TRY 116.40 | TRY 116.40 | TRY 105.30 | TRY 108.70 | 2 127 867 |
Dec 22, 2023 | TRY 121.90 | TRY 122.00 | TRY 113.50 | TRY 116.90 | 1 698 248 |
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.