NASDAQ:HDSN
Hudson Stock Price (Quote)
$7.82
-0.0600 (-0.761%)
At Close: May 16, 2025
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.14 | $8.37 | Friday, 16th May 2025 HDSN stock ended at $7.82. This is 0.761% less than the trading day before Thursday, 15th May 2025. During the day the stock fluctuated 3.21% from a day low at $7.63 to a day high of $7.87. |
90 days | $5.11 | $8.37 | |
52 weeks | $5.11 | $10.04 |
Historical Hudson Technologies prices
Date | Open | High | Low | Close | Volume |
---|---|---|---|---|---|
May 16, 2025 | $7.87 | $7.87 | $7.63 | $7.82 | 480 410 |
May 15, 2025 | $7.52 | $7.95 | $7.48 | $7.88 | 1 089 084 |
May 14, 2025 | $7.58 | $7.62 | $7.36 | $7.59 | 758 933 |
May 13, 2025 | $7.77 | $7.93 | $7.59 | $7.61 | 457 024 |
May 12, 2025 | $7.78 | $7.81 | $7.59 | $7.72 | 646 531 |
May 09, 2025 | $7.80 | $7.71 | $7.31 | $7.46 | 897 553 |
May 08, 2025 | $7.05 | $8.37 | $7.03 | $7.80 | 2 416 726 |
May 07, 2025 | $6.74 | $6.92 | $6.64 | $6.71 | 725 751 |
May 06, 2025 | $6.46 | $6.79 | $6.29 | $6.71 | 652 652 |
May 05, 2025 | $6.67 | $6.76 | $6.55 | $6.55 | 354 363 |
May 02, 2025 | $6.62 | $6.79 | $6.56 | $6.71 | 330 236 |
May 01, 2025 | $6.75 | $6.85 | $6.54 | $6.58 | 524 020 |
Apr 30, 2025 | $6.62 | $6.74 | $6.46 | $6.69 | 562 179 |
Apr 29, 2025 | $6.41 | $6.73 | $6.38 | $6.71 | 944 163 |
Apr 28, 2025 | $6.22 | $6.45 | $6.22 | $6.43 | 732 731 |
Apr 25, 2025 | $5.73 | $6.33 | $5.73 | $6.23 | 965 277 |
Apr 24, 2025 | $5.31 | $5.77 | $5.27 | $5.75 | 590 369 |
Apr 23, 2025 | $5.39 | $5.43 | $5.27 | $5.31 | 429 926 |
Apr 22, 2025 | $5.30 | $5.34 | $5.14 | $5.28 | 289 554 |
Apr 21, 2025 | $5.39 | $5.40 | $5.20 | $5.25 | 309 282 |
Apr 17, 2025 | $5.43 | $5.54 | $5.37 | $5.47 | 290 450 |
Apr 16, 2025 | $5.61 | $5.64 | $5.32 | $5.39 | 281 444 |
Apr 15, 2025 | $5.73 | $5.78 | $5.62 | $5.63 | 280 004 |
Apr 14, 2025 | $5.82 | $5.88 | $5.67 | $5.75 | 299 967 |
Apr 11, 2025 | $5.53 | $5.79 | $5.49 | $5.77 | 345 535 |
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 HDSN stock historical prices to predict future price movements?
Trend Analysis: Examine the HDSN 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 HDSN 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.