NASDAQ:VNDA
Vanda Pharmaceuticals Inc. Stock Price (Quote)
$5.58
+0.220 (+4.10%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.99 | $5.95 | Thursday, 16th May 2024 VNDA stock ended at $5.58. This is 4.10% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 5.44% from a day low at $5.33 to a day high of $5.62. |
90 days | $3.71 | $6.03 | |
52 weeks | $3.30 | $6.76 |
Date | Open | High | Low | Close | Volume |
Jun 26, 2023 | $6.56 | $6.76 | $6.40 | $6.62 | 779 090 |
Jun 23, 2023 | $6.42 | $6.58 | $6.39 | $6.52 | 1 176 144 |
Jun 22, 2023 | $6.24 | $6.49 | $6.15 | $6.43 | 585 028 |
Jun 21, 2023 | $6.36 | $6.36 | $6.13 | $6.25 | 530 399 |
Jun 20, 2023 | $6.34 | $6.45 | $6.28 | $6.38 | 567 185 |
Jun 16, 2023 | $6.46 | $6.46 | $6.28 | $6.34 | 1 181 966 |
Jun 15, 2023 | $6.25 | $6.35 | $6.23 | $6.34 | 411 705 |
Jun 14, 2023 | $6.53 | $6.56 | $6.25 | $6.27 | 430 019 |
Jun 13, 2023 | $6.53 | $6.60 | $6.41 | $6.54 | 489 448 |
Jun 12, 2023 | $6.50 | $6.60 | $6.45 | $6.54 | 433 356 |
Jun 09, 2023 | $6.55 | $6.56 | $6.47 | $6.50 | 270 053 |
Jun 08, 2023 | $6.45 | $6.52 | $6.39 | $6.50 | 363 713 |
Jun 07, 2023 | $6.26 | $6.50 | $6.24 | $6.46 | 511 255 |
Jun 06, 2023 | $6.16 | $6.26 | $6.06 | $6.25 | 415 612 |
Jun 05, 2023 | $6.05 | $6.12 | $5.92 | $6.10 | 440 135 |
Jun 02, 2023 | $5.95 | $6.08 | $5.90 | $6.06 | 615 439 |
Jun 01, 2023 | $6.00 | $6.01 | $5.87 | $5.90 | 593 481 |
May 31, 2023 | $5.96 | $6.13 | $5.93 | $5.95 | 541 257 |
May 30, 2023 | $6.10 | $6.12 | $5.89 | $5.96 | 595 529 |
May 26, 2023 | $6.15 | $6.32 | $6.11 | $6.11 | 631 839 |
May 25, 2023 | $6.32 | $6.32 | $5.97 | $5.99 | 756 985 |
May 24, 2023 | $6.29 | $6.29 | $6.11 | $6.11 | 338 287 |
May 23, 2023 | $6.17 | $6.36 | $6.14 | $6.30 | 373 147 |
May 22, 2023 | $6.23 | $6.30 | $6.15 | $6.20 | 375 500 |
May 19, 2023 | $6.18 | $6.30 | $6.17 | $6.20 | 434 940 |
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 VNDA stock historical prices to predict future price movements?
Trend Analysis: Examine the VNDA 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 VNDA 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.