NASDAQ:RTK
Delisted
Rentech Fund Price (Quote)
$0.200
+0 (+0%)
At Close: Oct 31, 2017
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.190 | $0.540 | Tuesday, 31st Oct 2017 RTK stock ended at $0.200. During the day the stock fluctuated 5.00% from a day low at $0.200 to a day high of $0.210. |
90 days | $0.190 | $0.540 | |
52 weeks | $0.190 | $2.91 |
Date | Open | High | Low | Close | Volume |
Mar 29, 2017 | $0.499 | $0.510 | $0.470 | $0.500 | 197 557 |
Mar 28, 2017 | $0.472 | $0.519 | $0.451 | $0.488 | 347 716 |
Mar 27, 2017 | $0.470 | $0.472 | $0.450 | $0.464 | 203 596 |
Mar 24, 2017 | $0.490 | $0.537 | $0.460 | $0.470 | 272 503 |
Mar 23, 2017 | $0.450 | $0.600 | $0.431 | $0.485 | 899 280 |
Mar 22, 2017 | $0.467 | $0.469 | $0.420 | $0.447 | 438 394 |
Mar 21, 2017 | $0.515 | $0.522 | $0.460 | $0.464 | 642 065 |
Mar 20, 2017 | $0.510 | $0.540 | $0.500 | $0.516 | 580 282 |
Mar 17, 2017 | $0.570 | $0.580 | $0.510 | $0.520 | 1 111 459 |
Mar 16, 2017 | $0.750 | $0.751 | $0.550 | $0.586 | 2 788 735 |
Mar 15, 2017 | $0.83 | $0.84 | $0.721 | $0.740 | 1 726 180 |
Mar 14, 2017 | $0.716 | $0.82 | $0.691 | $0.776 | 1 796 549 |
Mar 13, 2017 | $0.719 | $0.760 | $0.690 | $0.717 | 346 311 |
Mar 10, 2017 | $0.760 | $0.80 | $0.710 | $0.716 | 658 883 |
Mar 09, 2017 | $0.740 | $0.790 | $0.740 | $0.759 | 332 373 |
Mar 08, 2017 | $0.730 | $0.750 | $0.712 | $0.737 | 414 762 |
Mar 07, 2017 | $0.760 | $0.780 | $0.750 | $0.750 | 719 548 |
Mar 06, 2017 | $0.87 | $0.87 | $0.759 | $0.765 | 501 627 |
Mar 03, 2017 | $0.84 | $0.90 | $0.81 | $0.84 | 405 931 |
Mar 02, 2017 | $0.80 | $0.88 | $0.80 | $0.83 | 369 776 |
Mar 01, 2017 | $0.790 | $1.02 | $0.710 | $0.81 | 2 144 954 |
Feb 28, 2017 | $0.89 | $0.91 | $0.746 | $0.780 | 1 608 519 |
Feb 27, 2017 | $1.05 | $1.05 | $0.91 | $0.92 | 815 272 |
Feb 24, 2017 | $1.09 | $1.10 | $1.02 | $1.05 | 429 023 |
Feb 23, 2017 | $1.16 | $1.16 | $1.06 | $1.09 | 599 782 |
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 RTK stock historical prices to predict future price movements?
Trend Analysis: Examine the RTK 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 RTK 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.