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 07, 2023 | TRY 69.05 | TRY 75.00 | TRY 69.05 | TRY 74.45 | 5 682 409 |
Sep 06, 2023 | TRY 69.00 | TRY 69.25 | TRY 65.40 | TRY 69.00 | 3 558 053 |
Sep 05, 2023 | TRY 68.05 | TRY 69.20 | TRY 67.55 | TRY 68.65 | 3 419 371 |
Sep 04, 2023 | TRY 62.25 | TRY 67.95 | TRY 61.95 | TRY 67.25 | 9 911 250 |
Sep 01, 2023 | TRY 61.00 | TRY 62.60 | TRY 60.60 | TRY 61.95 | 6 573 602 |
Aug 31, 2023 | TRY 60.80 | TRY 61.15 | TRY 59.85 | TRY 61.10 | 2 646 838 |
Aug 29, 2023 | TRY 56.50 | TRY 61.80 | TRY 55.75 | TRY 60.60 | 16 857 022 |
Aug 28, 2023 | TRY 55.00 | TRY 59.00 | TRY 54.50 | TRY 56.20 | 4 516 565 |
Aug 25, 2023 | TRY 54.00 | TRY 56.00 | TRY 53.00 | TRY 54.90 | 1 650 840 |
Aug 24, 2023 | TRY 54.30 | TRY 54.85 | TRY 53.05 | TRY 54.00 | 2 604 191 |
Aug 23, 2023 | TRY 53.95 | TRY 56.50 | TRY 53.75 | TRY 54.00 | 2 600 969 |
Aug 22, 2023 | TRY 53.00 | TRY 54.00 | TRY 52.90 | TRY 53.85 | 1 739 221 |
Aug 21, 2023 | TRY 52.40 | TRY 53.65 | TRY 52.00 | TRY 53.00 | 1 555 995 |
Aug 18, 2023 | TRY 53.05 | TRY 55.10 | TRY 52.40 | TRY 53.20 | 1 502 180 |
Aug 17, 2023 | TRY 53.15 | TRY 53.65 | TRY 52.70 | TRY 53.00 | 1 107 691 |
Aug 16, 2023 | TRY 53.20 | TRY 53.95 | TRY 52.25 | TRY 52.80 | 2 021 159 |
Aug 15, 2023 | TRY 52.20 | TRY 54.00 | TRY 51.85 | TRY 53.10 | 1 136 066 |
Aug 14, 2023 | TRY 53.45 | TRY 53.50 | TRY 51.95 | TRY 52.20 | 1 303 480 |
Aug 11, 2023 | TRY 52.60 | TRY 53.55 | TRY 52.30 | TRY 53.20 | 885 394 |
Aug 10, 2023 | TRY 53.90 | TRY 54.05 | TRY 52.35 | TRY 52.60 | 1 457 969 |
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 |
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.