NASDAQ:META
META Stock Price (Quote)
$478.22
+12.44 (+2.67%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $414.50 | $510.00 | Friday, 24th May 2024 META stock ended at $478.22. This is 2.67% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 2.91% from a day low at $466.30 to a day high of $479.85. |
90 days | $414.50 | $531.49 | |
52 weeks | $252.71 | $531.49 |
Date | Open | High | Low | Close | Volume |
Oct 19, 2023 | $319.88 | $321.85 | $311.75 | $312.81 | 17 580 700 |
Oct 18, 2023 | $321.39 | $325.92 | $315.56 | $316.97 | 16 786 384 |
Oct 17, 2023 | $318.18 | $324.39 | $317.31 | $324.00 | 16 273 118 |
Oct 16, 2023 | $318.64 | $321.80 | $315.52 | $321.15 | 15 373 611 |
Oct 13, 2023 | $323.53 | $325.05 | $312.37 | $314.69 | 20 624 488 |
Oct 12, 2023 | $328.00 | $330.54 | $322.69 | $324.16 | 19 513 025 |
Oct 11, 2023 | $323.01 | $328.84 | $322.99 | $327.82 | 21 313 120 |
Oct 10, 2023 | $319.12 | $324.66 | $318.16 | $321.84 | 18 979 406 |
Oct 09, 2023 | $312.50 | $320.33 | $311.82 | $318.36 | 21 605 620 |
Oct 06, 2023 | $301.44 | $316.31 | $300.91 | $315.43 | 21 036 773 |
Oct 05, 2023 | $304.63 | $306.21 | $299.50 | $304.79 | 18 928 866 |
Oct 04, 2023 | $298.73 | $306.90 | $298.54 | $305.58 | 16 496 013 |
Oct 03, 2023 | $304.26 | $306.77 | $299.64 | $300.94 | 17 038 824 |
Oct 02, 2023 | $302.74 | $307.18 | $301.63 | $306.82 | 15 799 112 |
Sep 29, 2023 | $307.38 | $310.64 | $299.36 | $300.21 | 24 417 961 |
Sep 28, 2023 | $298.94 | $306.33 | $296.70 | $303.96 | 21 514 890 |
Sep 27, 2023 | $300.45 | $301.30 | $286.79 | $297.74 | 34 990 292 |
Sep 26, 2023 | $297.66 | $300.30 | $296.01 | $298.96 | 18 918 570 |
Sep 25, 2023 | $295.64 | $300.95 | $293.70 | $300.83 | 16 849 583 |
Sep 22, 2023 | $299.30 | $305.35 | $298.28 | $299.08 | 23 484 068 |
Sep 21, 2023 | $295.70 | $300.26 | $293.28 | $295.73 | 20 769 992 |
Sep 20, 2023 | $305.05 | $308.06 | $299.44 | $299.67 | 17 534 117 |
Sep 19, 2023 | $302.48 | $306.17 | $299.81 | $305.07 | 15 481 698 |
Sep 18, 2023 | $298.19 | $303.58 | $297.80 | $302.55 | 13 343 870 |
Sep 15, 2023 | $311.61 | $312.00 | $298.75 | $300.31 | 26 470 820 |
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 META stock historical prices to predict future price movements?
Trend Analysis: Examine the META 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 META 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.