NASDAQ:REGI
Delisted
Renewable Energy Group Stock Price (Quote)
$61.50
+0 (+0%)
At Close: Sep 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $61.50 | $61.50 | Tuesday, 27th Sep 2022 REGI stock ended at $61.50. During the day the stock fluctuated 0% from a day low at $61.50 to a day high of $61.50. |
90 days | $61.50 | $61.50 | |
52 weeks | $32.54 | $67.13 |
Historical Renewable Energy Group prices
Date | Open | High | Low | Close | Volume |
Nov 16, 2016 | $9.10 | $9.35 | $9.10 | $9.30 | 332 708 |
Nov 15, 2016 | $9.35 | $9.45 | $9.10 | $9.15 | 479 501 |
Nov 14, 2016 | $9.20 | $9.35 | $9.10 | $9.30 | 413 173 |
Nov 11, 2016 | $9.35 | $9.40 | $9.10 | $9.20 | 527 062 |
Nov 10, 2016 | $9.05 | $9.55 | $8.88 | $9.35 | 661 504 |
Nov 09, 2016 | $8.90 | $9.10 | $8.46 | $9.00 | 619 229 |
Nov 08, 2016 | $8.95 | $9.40 | $8.85 | $9.25 | 459 483 |
Nov 07, 2016 | $9.00 | $9.10 | $8.75 | $8.85 | 442 500 |
Nov 04, 2016 | $8.30 | $8.40 | $8.10 | $8.40 | 591 000 |
Nov 03, 2016 | $9.15 | $9.55 | $8.30 | $8.35 | 790 500 |
Nov 02, 2016 | $8.85 | $9.10 | $8.65 | $9.05 | 441 400 |
Nov 01, 2016 | $8.75 | $8.85 | $8.55 | $8.80 | 1 003 600 |
Oct 31, 2016 | $8.45 | $8.75 | $8.35 | $8.75 | 363 800 |
Oct 28, 2016 | $8.49 | $8.58 | $8.41 | $8.51 | 539 500 |
Oct 27, 2016 | $8.71 | $8.71 | $8.47 | $8.50 | 289 800 |
Oct 26, 2016 | $8.71 | $8.83 | $8.53 | $8.66 | 382 400 |
Oct 25, 2016 | $9.05 | $9.14 | $8.79 | $8.80 | 318 800 |
Oct 24, 2016 | $9.11 | $9.19 | $8.99 | $9.06 | 297 700 |
Oct 21, 2016 | $8.93 | $9.11 | $8.90 | $9.09 | 326 400 |
Oct 20, 2016 | $9.06 | $9.14 | $8.98 | $9.04 | 182 300 |
Oct 19, 2016 | $8.85 | $9.14 | $8.81 | $9.13 | 243 000 |
Oct 18, 2016 | $8.97 | $9.00 | $8.84 | $8.85 | 117 300 |
Oct 17, 2016 | $8.85 | $8.92 | $8.74 | $8.87 | 140 300 |
Oct 14, 2016 | $8.90 | $8.97 | $8.70 | $8.87 | 122 400 |
Oct 13, 2016 | $8.95 | $8.95 | $8.72 | $8.85 | 211 300 |
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 REGI stock historical prices to predict future price movements?
Trend Analysis: Examine the REGI 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 REGI 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.