NYSE:MTA
Metalla Royalty & Streaming Ltd. Stock Price (Quote)
$3.16
+0.240 (+8.22%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.81 | $3.32 | Friday, 17th May 2024 MTA stock ended at $3.16. This is 8.22% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.52% from a day low at $2.99 to a day high of $3.19. |
90 days | $2.32 | $3.51 | |
52 weeks | $2.32 | $4.87 |
Date | Open | High | Low | Close | Volume |
Apr 12, 2024 | $3.33 | $3.50 | $3.14 | $3.23 | 1 356 248 |
Apr 11, 2024 | $3.27 | $3.27 | $3.17 | $3.24 | 272 356 |
Apr 10, 2024 | $3.23 | $3.28 | $3.16 | $3.23 | 467 005 |
Apr 09, 2024 | $3.36 | $3.46 | $3.26 | $3.29 | 470 998 |
Apr 08, 2024 | $3.40 | $3.47 | $3.23 | $3.34 | 651 588 |
Apr 05, 2024 | $3.25 | $3.48 | $3.19 | $3.36 | 691 789 |
Apr 04, 2024 | $3.44 | $3.46 | $3.25 | $3.29 | 561 610 |
Apr 03, 2024 | $3.23 | $3.51 | $3.23 | $3.45 | 772 640 |
Apr 02, 2024 | $3.27 | $3.27 | $3.15 | $3.21 | 536 697 |
Apr 01, 2024 | $3.20 | $3.28 | $3.12 | $3.21 | 630 156 |
Mar 28, 2024 | $3.08 | $3.18 | $3.02 | $3.11 | 367 543 |
Mar 27, 2024 | $2.96 | $3.04 | $2.96 | $3.04 | 174 486 |
Mar 26, 2024 | $3.01 | $3.02 | $2.92 | $2.94 | 161 435 |
Mar 25, 2024 | $2.96 | $3.06 | $2.93 | $2.94 | 206 542 |
Mar 22, 2024 | $2.98 | $3.04 | $2.93 | $2.94 | 202 408 |
Mar 21, 2024 | $3.13 | $3.17 | $3.00 | $3.00 | 321 337 |
Mar 20, 2024 | $2.88 | $3.10 | $2.88 | $3.07 | 412 962 |
Mar 19, 2024 | $2.98 | $2.98 | $2.88 | $2.90 | 327 538 |
Mar 18, 2024 | $3.18 | $3.18 | $2.98 | $3.02 | 464 432 |
Mar 15, 2024 | $3.07 | $3.18 | $3.07 | $3.15 | 1 213 911 |
Mar 14, 2024 | $3.12 | $3.15 | $3.04 | $3.05 | 491 366 |
Mar 13, 2024 | $3.01 | $3.17 | $3.01 | $3.14 | 562 201 |
Mar 12, 2024 | $3.03 | $3.03 | $2.91 | $2.95 | 503 171 |
Mar 11, 2024 | $2.87 | $3.10 | $2.85 | $3.07 | 1 101 750 |
Mar 08, 2024 | $2.82 | $2.86 | $2.77 | $2.83 | 787 364 |
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.