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 |
| Jun 23, 2023 | TRY 41.72 | TRY 42.30 | TRY 41.30 | TRY 41.50 | 342 892 |
| Jun 22, 2023 | TRY 40.40 | TRY 41.76 | TRY 40.04 | TRY 41.58 | 816 732 |
| Jun 21, 2023 | TRY 41.02 | TRY 41.20 | TRY 39.50 | TRY 40.40 | 348 857 |
| Jun 20, 2023 | TRY 41.30 | TRY 42.14 | TRY 40.80 | TRY 40.90 | 775 070 |
| Jun 19, 2023 | TRY 40.10 | TRY 42.90 | TRY 39.70 | TRY 41.32 | 977 605 |
| Jun 16, 2023 | TRY 40.40 | TRY 40.60 | TRY 39.76 | TRY 40.04 | 240 376 |
| Jun 15, 2023 | TRY 39.96 | TRY 40.40 | TRY 39.54 | TRY 40.40 | 362 406 |
| Jun 14, 2023 | TRY 39.80 | TRY 40.50 | TRY 39.62 | TRY 39.96 | 372 362 |
| Jun 13, 2023 | TRY 39.58 | TRY 39.82 | TRY 39.00 | TRY 39.80 | 512 452 |
| Jun 12, 2023 | TRY 38.80 | TRY 39.58 | TRY 38.68 | TRY 39.58 | 679 480 |
| Jun 09, 2023 | TRY 38.60 | TRY 38.80 | TRY 37.88 | TRY 38.80 | 371 028 |
| Jun 08, 2023 | TRY 38.60 | TRY 39.00 | TRY 38.20 | TRY 38.60 | 658 430 |
| Jun 07, 2023 | TRY 38.40 | TRY 38.86 | TRY 38.20 | TRY 38.60 | 595 907 |
| Jun 06, 2023 | TRY 38.00 | TRY 38.48 | TRY 37.30 | TRY 38.38 | 556 568 |
| Jun 05, 2023 | TRY 37.30 | TRY 38.02 | TRY 37.06 | TRY 38.02 | 695 380 |
| Jun 02, 2023 | TRY 37.16 | TRY 37.22 | TRY 36.80 | TRY 36.96 | 354 067 |
| Jun 01, 2023 | TRY 37.02 | TRY 37.24 | TRY 36.60 | TRY 37.00 | 380 394 |
| May 31, 2023 | TRY 37.36 | TRY 37.52 | TRY 36.92 | TRY 36.92 | 346 536 |
| May 30, 2023 | TRY 37.10 | TRY 37.44 | TRY 36.90 | TRY 37.36 | 665 952 |
| May 29, 2023 | TRY 37.00 | TRY 38.20 | TRY 36.76 | TRY 37.00 | 1 155 085 |
| May 26, 2023 | TRY 37.10 | TRY 37.10 | TRY 35.30 | TRY 36.54 | 599 354 |
| May 25, 2023 | TRY 37.08 | TRY 37.40 | TRY 36.00 | TRY 37.08 | 681 879 |
| May 24, 2023 | TRY 37.40 | TRY 37.40 | TRY 36.76 | TRY 37.08 | 256 776 |
| May 23, 2023 | TRY 36.80 | TRY 37.98 | TRY 36.80 | TRY 37.38 | 576 960 |
| May 22, 2023 | TRY 36.90 | TRY 37.00 | TRY 35.94 | TRY 36.80 | 403 754 |
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.
