NASDAQ:ARLZ
Delisted
Aralez Pharmaceuticals Inc Fund Price (Quote)
$0.0345
+0 (+0%)
At Close: Sep 18, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0255 | $0.0409 | Tuesday, 18th Sep 2018 ARLZ stock ended at $0.0345. During the day the stock fluctuated 0% from a day low at $0.0345 to a day high of $0.0345. |
90 days | $0.0255 | $0.440 | |
52 weeks | $0.0255 | $2.98 |
Date | Open | High | Low | Close | Volume |
Oct 26, 2017 | $1.31 | $1.48 | $1.31 | $1.42 | 536 313 |
Oct 25, 2017 | $1.36 | $1.40 | $1.31 | $1.33 | 369 787 |
Oct 24, 2017 | $1.40 | $1.51 | $1.36 | $1.38 | 553 604 |
Oct 23, 2017 | $1.44 | $1.46 | $1.38 | $1.41 | 455 710 |
Oct 20, 2017 | $1.48 | $1.53 | $1.40 | $1.46 | 597 439 |
Oct 19, 2017 | $1.54 | $1.56 | $1.41 | $1.49 | 949 520 |
Oct 18, 2017 | $1.59 | $1.67 | $1.48 | $1.54 | 525 799 |
Oct 17, 2017 | $1.56 | $1.63 | $1.46 | $1.60 | 990 080 |
Oct 16, 2017 | $1.71 | $1.75 | $1.54 | $1.56 | 559 629 |
Oct 13, 2017 | $1.92 | $1.95 | $1.64 | $1.68 | 1 591 690 |
Oct 12, 2017 | $2.15 | $2.18 | $1.87 | $1.97 | 850 829 |
Oct 11, 2017 | $2.22 | $2.30 | $2.15 | $2.15 | 487 865 |
Oct 10, 2017 | $2.17 | $2.31 | $2.14 | $2.26 | 525 267 |
Oct 09, 2017 | $2.36 | $2.36 | $2.10 | $2.18 | 738 093 |
Oct 06, 2017 | $2.45 | $2.46 | $2.25 | $2.34 | 725 689 |
Oct 05, 2017 | $2.55 | $2.58 | $2.32 | $2.45 | 958 572 |
Oct 04, 2017 | $2.28 | $2.57 | $2.20 | $2.48 | 1 288 777 |
Oct 03, 2017 | $2.66 | $2.98 | $2.21 | $2.29 | 3 042 649 |
Oct 02, 2017 | $2.32 | $2.69 | $2.27 | $2.61 | 2 229 836 |
Sep 29, 2017 | $2.19 | $2.34 | $2.15 | $2.29 | 1 595 958 |
Sep 28, 2017 | $2.07 | $2.35 | $2.00 | $2.17 | 1 594 606 |
Sep 27, 2017 | $1.90 | $2.07 | $1.86 | $2.07 | 1 797 568 |
Sep 26, 2017 | $1.89 | $1.89 | $1.55 | $1.87 | 851 376 |
Sep 25, 2017 | $1.75 | $1.85 | $1.60 | $1.84 | 1 288 567 |
Sep 22, 2017 | $1.53 | $1.96 | $1.51 | $1.80 | 4 196 690 |
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 ARLZ stock historical prices to predict future price movements?
Trend Analysis: Examine the ARLZ 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 ARLZ 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.