BIST:INDES
Indeks Bilgisayar Sistemleri Stock Price (Quote)
TRY 9.51
+0.360 (+3.93%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 8.46 | TRY 10.70 | Friday, 17th May 2024 INDES.IS stock ended at TRY 9.51. This is 3.93% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.72% from a day low at TRY 9.40 to a day high of TRY 9.75. |
90 days | TRY 7.82 | TRY 12.25 | |
52 weeks | TRY 5.79 | TRY 29.32 |
Date | Open | High | Low | Close | Volume |
Jan 26, 2024 | TRY 7.36 | TRY 7.45 | TRY 7.28 | TRY 7.39 | 9 932 259 |
Jan 25, 2024 | TRY 7.19 | TRY 7.39 | TRY 7.16 | TRY 7.36 | 12 072 484 |
Jan 24, 2024 | TRY 7.02 | TRY 7.23 | TRY 6.98 | TRY 7.16 | 9 325 302 |
Jan 23, 2024 | TRY 7.12 | TRY 7.19 | TRY 7.03 | TRY 7.07 | 10 524 576 |
Jan 22, 2024 | TRY 6.77 | TRY 7.15 | TRY 6.77 | TRY 7.11 | 17 759 798 |
Jan 19, 2024 | TRY 6.86 | TRY 6.90 | TRY 6.69 | TRY 6.77 | 8 406 234 |
Jan 18, 2024 | TRY 6.94 | TRY 6.97 | TRY 6.83 | TRY 6.85 | 10 917 021 |
Jan 17, 2024 | TRY 6.74 | TRY 6.92 | TRY 6.72 | TRY 6.91 | 9 827 928 |
Jan 16, 2024 | TRY 6.70 | TRY 6.91 | TRY 6.64 | TRY 6.78 | 16 416 989 |
Jan 15, 2024 | TRY 6.56 | TRY 6.71 | TRY 6.53 | TRY 6.71 | 13 844 359 |
Jan 12, 2024 | TRY 6.35 | TRY 6.58 | TRY 6.24 | TRY 6.54 | 19 443 797 |
Jan 11, 2024 | TRY 6.48 | TRY 6.50 | TRY 6.30 | TRY 6.38 | 11 264 348 |
Jan 10, 2024 | TRY 6.31 | TRY 6.42 | TRY 6.23 | TRY 6.41 | 11 599 040 |
Jan 09, 2024 | TRY 6.42 | TRY 6.45 | TRY 6.18 | TRY 6.32 | 17 863 377 |
Jan 08, 2024 | TRY 6.45 | TRY 6.52 | TRY 6.32 | TRY 6.42 | 15 458 547 |
Jan 05, 2024 | TRY 6.20 | TRY 6.42 | TRY 6.15 | TRY 6.40 | 14 568 031 |
Jan 04, 2024 | TRY 5.96 | TRY 6.18 | TRY 5.87 | TRY 6.18 | 17 971 241 |
Jan 03, 2024 | TRY 6.08 | TRY 6.25 | TRY 5.95 | TRY 5.95 | 27 288 087 |
Jan 02, 2024 | TRY 6.01 | TRY 6.13 | TRY 5.95 | TRY 6.07 | 30 276 959 |
Dec 29, 2023 | TRY 6.14 | TRY 6.14 | TRY 5.92 | TRY 5.96 | 17 034 765 |
Dec 28, 2023 | TRY 5.84 | TRY 6.14 | TRY 5.82 | TRY 5.95 | 16 691 043 |
Dec 27, 2023 | TRY 5.98 | TRY 5.98 | TRY 5.81 | TRY 5.81 | 9 227 273 |
Dec 26, 2023 | TRY 6.10 | TRY 6.10 | TRY 5.79 | TRY 5.93 | 9 441 526 |
Dec 25, 2023 | TRY 6.36 | TRY 6.37 | TRY 5.85 | TRY 5.98 | 7 232 488 |
Dec 22, 2023 | TRY 6.60 | TRY 6.70 | TRY 6.27 | TRY 6.40 | 8 514 567 |
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 INDES.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the INDES.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 INDES.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.