NASDAQ:CLNE
Clean Energy Fuels Corp. Stock Price (Quote)
$3.13
+0.130 (+4.33%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.26 | $3.25 | Friday, 31st May 2024 CLNE stock ended at $3.13. This is 4.33% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 7.26% from a day low at $3.03 to a day high of $3.25. |
90 days | $2.17 | $3.25 | |
52 weeks | $2.17 | $5.25 |
Historical Clean Energy Fuels Corp. prices
Date | Open | High | Low | Close | Volume |
Nov 01, 2019 | $2.25 | $2.34 | $2.25 | $2.29 | 578 673 |
Oct 31, 2019 | $2.23 | $2.29 | $2.18 | $2.25 | 609 499 |
Oct 30, 2019 | $2.24 | $2.25 | $2.20 | $2.23 | 274 430 |
Oct 29, 2019 | $2.23 | $2.25 | $2.20 | $2.24 | 461 043 |
Oct 28, 2019 | $2.24 | $2.24 | $2.20 | $2.23 | 351 168 |
Oct 25, 2019 | $2.19 | $2.24 | $2.17 | $2.21 | 326 854 |
Oct 24, 2019 | $2.23 | $2.24 | $2.18 | $2.18 | 260 807 |
Oct 23, 2019 | $2.22 | $2.24 | $2.19 | $2.23 | 363 752 |
Oct 22, 2019 | $2.21 | $2.24 | $2.16 | $2.22 | 391 486 |
Oct 21, 2019 | $2.25 | $2.29 | $2.21 | $2.22 | 327 560 |
Oct 18, 2019 | $2.29 | $2.31 | $2.21 | $2.24 | 433 840 |
Oct 17, 2019 | $2.29 | $2.37 | $2.26 | $2.30 | 785 832 |
Oct 16, 2019 | $2.10 | $2.27 | $2.10 | $2.27 | 815 404 |
Oct 15, 2019 | $2.10 | $2.13 | $2.07 | $2.10 | 417 853 |
Oct 14, 2019 | $2.10 | $2.12 | $2.05 | $2.09 | 526 168 |
Oct 11, 2019 | $2.08 | $2.14 | $2.07 | $2.10 | 489 584 |
Oct 10, 2019 | $2.03 | $2.08 | $2.02 | $2.07 | 463 477 |
Oct 09, 2019 | $2.02 | $2.08 | $2.00 | $2.03 | 672 341 |
Oct 08, 2019 | $2.00 | $2.05 | $1.98 | $2.01 | 345 854 |
Oct 07, 2019 | $2.02 | $2.07 | $2.00 | $2.02 | 439 606 |
Oct 04, 2019 | $2.01 | $2.05 | $1.98 | $2.02 | 636 244 |
Oct 03, 2019 | $1.99 | $2.01 | $1.96 | $2.01 | 545 626 |
Oct 02, 2019 | $2.00 | $2.04 | $1.96 | $2.00 | 755 054 |
Oct 01, 2019 | $2.05 | $2.09 | $2.00 | $2.01 | 700 644 |
Sep 30, 2019 | $2.10 | $2.11 | $2.06 | $2.07 | 373 375 |
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 CLNE stock historical prices to predict future price movements?
Trend Analysis: Examine the CLNE 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 CLNE 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.