NYSE:AGU
Delisted
Agrium Inc Fund Price (Quote)
$115.00
+0 (+0%)
At Close: Feb 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $115.00 | $115.00 | Friday, 16th Feb 2018 AGU stock ended at $115.00. During the day the stock fluctuated 0% from a day low at $115.00 to a day high of $115.00. |
90 days | $104.05 | $117.28 | |
52 weeks | $87.82 | $117.28 |
Date | Open | High | Low | Close | Volume |
May 15, 2017 | $91.52 | $92.25 | $91.06 | $91.35 | 452 534 |
May 12, 2017 | $91.09 | $91.67 | $90.57 | $90.97 | 234 519 |
May 11, 2017 | $91.69 | $91.94 | $90.34 | $91.16 | 497 579 |
May 10, 2017 | $91.77 | $93.15 | $91.66 | $91.92 | 451 892 |
May 09, 2017 | $91.30 | $92.19 | $90.49 | $91.65 | 338 408 |
May 08, 2017 | $91.53 | $92.13 | $90.98 | $91.47 | 745 578 |
May 05, 2017 | $90.64 | $92.35 | $90.50 | $91.50 | 566 852 |
May 04, 2017 | $90.70 | $90.99 | $90.25 | $90.40 | 466 510 |
May 03, 2017 | $92.01 | $92.01 | $90.50 | $90.70 | 510 831 |
May 02, 2017 | $93.22 | $94.52 | $92.01 | $92.25 | 794 957 |
May 01, 2017 | $94.44 | $94.50 | $93.60 | $93.61 | 299 618 |
Apr 28, 2017 | $94.56 | $95.33 | $93.43 | $93.93 | 272 698 |
Apr 27, 2017 | $93.84 | $95.56 | $93.57 | $95.00 | 611 780 |
Apr 26, 2017 | $92.25 | $93.37 | $92.04 | $92.88 | 515 703 |
Apr 25, 2017 | $91.74 | $93.26 | $91.74 | $92.49 | 544 317 |
Apr 24, 2017 | $91.44 | $92.07 | $90.93 | $91.68 | 314 715 |
Apr 21, 2017 | $91.48 | $91.53 | $90.09 | $90.47 | 599 679 |
Apr 20, 2017 | $92.01 | $92.38 | $91.29 | $91.67 | 444 607 |
Apr 19, 2017 | $91.84 | $92.33 | $91.16 | $91.62 | 268 435 |
Apr 18, 2017 | $92.43 | $92.97 | $91.70 | $91.98 | 386 177 |
Apr 17, 2017 | $93.01 | $93.46 | $92.52 | $93.16 | 172 321 |
Apr 13, 2017 | $93.24 | $93.64 | $92.36 | $92.46 | 266 243 |
Apr 12, 2017 | $93.33 | $93.69 | $92.85 | $93.35 | 287 543 |
Apr 11, 2017 | $93.87 | $94.28 | $92.36 | $93.81 | 285 284 |
Apr 10, 2017 | $93.93 | $94.06 | $93.41 | $93.87 | 469 726 |
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 AGU stock historical prices to predict future price movements?
Trend Analysis: Examine the AGU 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 AGU 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.