NASDAQ:AKAM
Akamai Technologies Stock Price (Quote)
$90.22
-0.620 (-0.683%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $89.55 | $102.65 | Thursday, 30th May 2024 AKAM stock ended at $90.22. This is 0.683% less than the trading day before Wednesday, 29th May 2024. During the day the stock fluctuated 1.50% from a day low at $89.55 to a day high of $90.89. |
90 days | $89.55 | $113.36 | |
52 weeks | $86.95 | $129.17 |
Historical Akamai Technologies prices
Date | Open | High | Low | Close | Volume |
Mar 01, 2017 | $62.82 | $63.59 | $62.79 | $63.38 | 1 379 380 |
Feb 28, 2017 | $62.80 | $63.11 | $62.31 | $62.60 | 1 585 730 |
Feb 27, 2017 | $62.76 | $63.12 | $62.46 | $62.86 | 857 985 |
Feb 24, 2017 | $62.50 | $62.88 | $62.39 | $62.87 | 1 360 593 |
Feb 23, 2017 | $63.05 | $63.13 | $62.64 | $62.70 | 1 122 689 |
Feb 22, 2017 | $62.50 | $63.15 | $62.50 | $63.01 | 1 346 017 |
Feb 21, 2017 | $62.50 | $63.15 | $62.46 | $62.64 | 1 801 986 |
Feb 17, 2017 | $63.83 | $63.87 | $62.00 | $62.34 | 3 977 842 |
Feb 16, 2017 | $64.22 | $64.77 | $63.75 | $64.24 | 1 756 155 |
Feb 15, 2017 | $63.30 | $64.10 | $63.21 | $63.90 | 1 365 353 |
Feb 14, 2017 | $63.75 | $64.13 | $63.37 | $63.55 | 2 180 860 |
Feb 13, 2017 | $64.20 | $64.20 | $63.35 | $63.60 | 1 758 846 |
Feb 10, 2017 | $63.85 | $64.28 | $63.50 | $63.95 | 2 507 346 |
Feb 09, 2017 | $63.83 | $64.58 | $63.61 | $63.85 | 4 070 643 |
Feb 08, 2017 | $66.50 | $66.59 | $61.54 | $63.55 | 15 935 556 |
Feb 07, 2017 | $70.00 | $71.34 | $69.58 | $71.12 | 3 664 019 |
Feb 06, 2017 | $69.22 | $69.71 | $68.63 | $69.71 | 1 620 170 |
Feb 03, 2017 | $69.85 | $69.85 | $69.01 | $69.55 | 1 419 905 |
Feb 02, 2017 | $68.37 | $69.67 | $67.83 | $69.40 | 1 333 635 |
Feb 01, 2017 | $68.67 | $68.80 | $67.76 | $68.70 | 1 574 035 |
Jan 31, 2017 | $67.57 | $68.85 | $67.20 | $68.59 | 1 540 911 |
Jan 30, 2017 | $67.99 | $68.35 | $67.36 | $67.81 | 1 881 081 |
Jan 27, 2017 | $68.04 | $68.08 | $67.55 | $67.97 | 1 535 748 |
Jan 26, 2017 | $68.54 | $68.70 | $67.73 | $67.78 | 1 414 551 |
Jan 25, 2017 | $68.35 | $68.82 | $67.79 | $68.73 | 1 751 261 |
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 AKAM stock historical prices to predict future price movements?
Trend Analysis: Examine the AKAM 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 AKAM 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.