NYSE:BMO
Bank Of Montreal Stock Price (Quote)
$94.55
+0.0700 (+0.0741%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $89.08 | $95.47 | Thursday, 23rd May 2024 BMO stock ended at $94.55. This is 0.0741% more than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 1.64% from a day low at $93.85 to a day high of $95.39. |
90 days | $88.55 | $98.99 | |
52 weeks | $73.98 | $100.12 |
Date | Open | High | Low | Close | Volume |
Apr 18, 2024 | $91.58 | $91.89 | $90.34 | $91.01 | 703 838 |
Apr 17, 2024 | $91.51 | $92.09 | $90.35 | $90.96 | 604 227 |
Apr 16, 2024 | $92.28 | $92.48 | $90.84 | $91.16 | 660 439 |
Apr 15, 2024 | $93.68 | $94.43 | $92.39 | $92.75 | 615 971 |
Apr 12, 2024 | $94.00 | $94.14 | $92.61 | $93.02 | 592 082 |
Apr 11, 2024 | $95.57 | $95.57 | $94.08 | $94.81 | 809 764 |
Apr 10, 2024 | $96.71 | $96.94 | $94.74 | $95.57 | 741 688 |
Apr 09, 2024 | $98.46 | $98.83 | $97.58 | $98.36 | 549 795 |
Apr 08, 2024 | $97.51 | $98.30 | $97.25 | $98.03 | 271 923 |
Apr 05, 2024 | $96.27 | $97.58 | $95.95 | $97.15 | 333 176 |
Apr 04, 2024 | $97.94 | $98.99 | $96.38 | $96.61 | 407 775 |
Apr 03, 2024 | $96.30 | $97.85 | $96.30 | $96.90 | 409 941 |
Apr 02, 2024 | $97.20 | $97.64 | $96.25 | $96.44 | 359 040 |
Apr 01, 2024 | $97.63 | $98.02 | $97.00 | $97.61 | 276 857 |
Mar 28, 2024 | $96.50 | $97.98 | $96.39 | $97.68 | 295 968 |
Mar 27, 2024 | $95.85 | $96.43 | $95.69 | $96.38 | 304 609 |
Mar 26, 2024 | $96.07 | $96.22 | $95.72 | $95.97 | 250 619 |
Mar 25, 2024 | $95.61 | $96.34 | $95.61 | $95.69 | 197 112 |
Mar 22, 2024 | $96.14 | $96.60 | $95.46 | $95.49 | 221 738 |
Mar 21, 2024 | $96.36 | $97.03 | $95.98 | $96.44 | 356 137 |
Mar 20, 2024 | $93.84 | $96.15 | $93.75 | $96.13 | 359 656 |
Mar 19, 2024 | $93.67 | $94.52 | $93.65 | $94.04 | 371 750 |
Mar 18, 2024 | $93.93 | $94.10 | $93.11 | $93.92 | 256 501 |
Mar 15, 2024 | $93.48 | $94.37 | $92.97 | $93.85 | 432 526 |
Mar 14, 2024 | $95.53 | $95.53 | $93.49 | $93.77 | 327 848 |
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 BMO stock historical prices to predict future price movements?
Trend Analysis: Examine the BMO 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 BMO 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.