NYSE:MTA
Metalla Royalty & Streaming Ltd. Stock Price (Quote)
$2.92
-0.0900 (-2.99%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.81 | $3.32 | Thursday, 16th May 2024 MTA stock ended at $2.92. This is 2.99% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 5.57% from a day low at $2.87 to a day high of $3.03. |
90 days | $2.32 | $3.51 | |
52 weeks | $2.32 | $4.87 |
Date | Open | High | Low | Close | Volume |
Mar 06, 2024 | $2.68 | $2.82 | $2.68 | $2.74 | 609 860 |
Mar 05, 2024 | $2.77 | $2.78 | $2.64 | $2.68 | 539 641 |
Mar 04, 2024 | $2.57 | $2.76 | $2.56 | $2.74 | 784 145 |
Mar 01, 2024 | $2.40 | $2.59 | $2.34 | $2.55 | 529 377 |
Feb 29, 2024 | $2.45 | $2.46 | $2.35 | $2.40 | 325 725 |
Feb 28, 2024 | $2.50 | $2.50 | $2.37 | $2.40 | 602 636 |
Feb 27, 2024 | $2.47 | $2.53 | $2.46 | $2.51 | 418 394 |
Feb 26, 2024 | $2.39 | $2.49 | $2.32 | $2.49 | 575 649 |
Feb 23, 2024 | $2.42 | $2.48 | $2.37 | $2.39 | 986 704 |
Feb 22, 2024 | $2.50 | $2.51 | $2.41 | $2.42 | 537 981 |
Feb 21, 2024 | $2.58 | $2.58 | $2.50 | $2.51 | 328 125 |
Feb 20, 2024 | $2.64 | $2.68 | $2.57 | $2.58 | 541 337 |
Feb 16, 2024 | $2.63 | $2.66 | $2.58 | $2.64 | 255 707 |
Feb 15, 2024 | $2.55 | $2.65 | $2.55 | $2.62 | 364 920 |
Feb 14, 2024 | $2.54 | $2.58 | $2.51 | $2.53 | 314 095 |
Feb 13, 2024 | $2.61 | $2.62 | $2.49 | $2.53 | 472 244 |
Feb 12, 2024 | $2.59 | $2.67 | $2.59 | $2.67 | 244 470 |
Feb 09, 2024 | $2.65 | $2.68 | $2.59 | $2.62 | 260 693 |
Feb 08, 2024 | $2.64 | $2.67 | $2.56 | $2.65 | 515 957 |
Feb 07, 2024 | $2.71 | $2.72 | $2.64 | $2.66 | 392 911 |
Feb 06, 2024 | $2.68 | $2.75 | $2.65 | $2.69 | 244 930 |
Feb 05, 2024 | $2.80 | $2.80 | $2.66 | $2.66 | 360 526 |
Feb 02, 2024 | $2.91 | $2.92 | $2.81 | $2.84 | 312 511 |
Feb 01, 2024 | $2.83 | $3.02 | $2.83 | $2.97 | 305 352 |
Jan 31, 2024 | $2.83 | $2.91 | $2.80 | $2.80 | 377 323 |
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 MTA stock historical prices to predict future price movements?
Trend Analysis: Examine the MTA 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 MTA 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.