BIST:SNICA
Sanica Isi Sanayi A.S. Stock Price (Quote)
TRY 7.07
+0.0200 (+0.284%)
At Close: Jun 25, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 6.49 | TRY 8.05 | Tuesday, 25th Jun 2024 SNICA.IS stock ended at TRY 7.07. This is 0.284% more than the trading day before Monday, 24th Jun 2024. During the day the stock fluctuated 5.18% from a day low at TRY 6.95 to a day high of TRY 7.31. |
90 days | TRY 6.49 | TRY 49.68 | |
52 weeks | TRY 6.49 | TRY 49.68 |
Historical Sanica Isi Sanayi A.S. prices
Date | Open | High | Low | Close | Volume |
Jun 25, 2024 | TRY 7.05 | TRY 7.31 | TRY 6.95 | TRY 7.07 | 25 489 014 |
Jun 24, 2024 | TRY 7.25 | TRY 7.32 | TRY 7.03 | TRY 7.05 | 6 540 360 |
Jun 21, 2024 | TRY 7.42 | TRY 7.48 | TRY 7.21 | TRY 7.25 | 9 977 091 |
Jun 20, 2024 | TRY 7.17 | TRY 7.34 | TRY 6.96 | TRY 7.27 | 14 276 392 |
Jun 14, 2024 | TRY 6.76 | TRY 7.24 | TRY 6.70 | TRY 7.20 | 16 194 207 |
Jun 13, 2024 | TRY 6.52 | TRY 6.81 | TRY 6.52 | TRY 6.74 | 7 452 080 |
Jun 12, 2024 | TRY 6.69 | TRY 6.84 | TRY 6.49 | TRY 6.49 | 12 073 165 |
Jun 11, 2024 | TRY 6.67 | TRY 6.74 | TRY 6.52 | TRY 6.59 | 5 781 855 |
Jun 10, 2024 | TRY 6.72 | TRY 6.91 | TRY 6.62 | TRY 6.67 | 6 140 655 |
Jun 07, 2024 | TRY 6.89 | TRY 7.00 | TRY 6.69 | TRY 6.71 | 8 721 759 |
Jun 06, 2024 | TRY 7.13 | TRY 7.37 | TRY 6.87 | TRY 6.88 | 16 374 800 |
Jun 05, 2024 | TRY 7.41 | TRY 7.42 | TRY 7.05 | TRY 7.12 | 8 773 895 |
Jun 04, 2024 | TRY 7.58 | TRY 7.61 | TRY 7.33 | TRY 7.41 | 12 728 772 |
Jun 03, 2024 | TRY 7.35 | TRY 7.39 | TRY 7.14 | TRY 7.31 | 8 787 541 |
May 31, 2024 | TRY 7.46 | TRY 7.53 | TRY 7.31 | TRY 7.35 | 7 841 826 |
May 30, 2024 | TRY 7.56 | TRY 7.59 | TRY 7.44 | TRY 7.47 | 7 369 056 |
May 29, 2024 | TRY 7.65 | TRY 7.76 | TRY 7.54 | TRY 7.54 | 11 249 078 |
May 28, 2024 | TRY 7.90 | TRY 8.02 | TRY 7.72 | TRY 7.73 | 12 765 224 |
May 27, 2024 | TRY 8.05 | TRY 8.05 | TRY 7.77 | TRY 7.90 | 11 655 651 |
May 24, 2024 | TRY 7.85 | TRY 8.06 | TRY 7.64 | TRY 7.92 | 14 352 721 |
May 23, 2024 | TRY 8.00 | TRY 8.01 | TRY 7.70 | TRY 7.81 | 13 090 872 |
May 22, 2024 | TRY 8.30 | TRY 8.40 | TRY 7.98 | TRY 8.00 | 14 704 967 |
May 21, 2024 | TRY 8.38 | TRY 8.94 | TRY 8.02 | TRY 8.29 | 29 441 615 |
May 20, 2024 | TRY 37.48 | TRY 37.50 | TRY 35.92 | TRY 36.74 | 6 437 193 |
May 17, 2024 | TRY 36.36 | TRY 39.18 | TRY 36.00 | TRY 37.56 | 11 849 689 |
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 SNICA.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the SNICA.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 SNICA.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.