PINK:VRSSF
VERSES AI Inc. Stock Price (Quote)
$0.686
+0.0195 (+2.92%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.650 | $0.85 | Friday, 17th May 2024 VRSSF stock ended at $0.686. This is 2.92% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 4.48% from a day low at $0.670 to a day high of $0.700. |
90 days | $0.650 | $1.36 | |
52 weeks | $0.563 | $2.78 |
Date | Open | High | Low | Close | Volume |
Jan 31, 2024 | $1.40 | $1.45 | $1.32 | $1.40 | 233 365 |
Jan 30, 2024 | $1.46 | $1.46 | $1.38 | $1.40 | 132 953 |
Jan 29, 2024 | $1.40 | $1.47 | $1.36 | $1.42 | 231 864 |
Jan 26, 2024 | $1.18 | $1.35 | $1.18 | $1.35 | 342 132 |
Jan 25, 2024 | $1.31 | $1.33 | $1.19 | $1.20 | 427 787 |
Jan 24, 2024 | $1.33 | $1.36 | $1.30 | $1.30 | 162 756 |
Jan 23, 2024 | $1.42 | $1.44 | $1.30 | $1.32 | 343 282 |
Jan 22, 2024 | $1.40 | $1.51 | $1.37 | $1.42 | 365 794 |
Jan 19, 2024 | $1.57 | $1.70 | $1.36 | $1.43 | 642 770 |
Jan 18, 2024 | $1.74 | $1.75 | $1.59 | $1.60 | 825 596 |
Jan 17, 2024 | $1.40 | $1.66 | $1.40 | $1.61 | 773 355 |
Jan 16, 2024 | $1.37 | $1.44 | $1.36 | $1.43 | 388 101 |
Jan 12, 2024 | $1.22 | $1.45 | $1.22 | $1.36 | 714 894 |
Jan 11, 2024 | $1.32 | $1.32 | $1.22 | $1.22 | 156 280 |
Jan 10, 2024 | $1.26 | $1.31 | $1.25 | $1.27 | 140 759 |
Jan 09, 2024 | $1.18 | $1.30 | $1.18 | $1.29 | 159 215 |
Jan 08, 2024 | $1.17 | $1.33 | $1.17 | $1.22 | 465 000 |
Jan 05, 2024 | $1.36 | $1.36 | $1.16 | $1.17 | 271 586 |
Jan 04, 2024 | $1.35 | $1.37 | $1.29 | $1.31 | 150 536 |
Jan 03, 2024 | $1.25 | $1.36 | $1.25 | $1.34 | 150 387 |
Jan 02, 2024 | $1.14 | $1.33 | $1.14 | $1.33 | 286 707 |
Dec 29, 2023 | $1.19 | $1.20 | $1.15 | $1.15 | 229 720 |
Dec 28, 2023 | $1.24 | $1.28 | $1.16 | $1.18 | 250 948 |
Dec 27, 2023 | $1.31 | $1.31 | $1.10 | $1.24 | 477 862 |
Dec 26, 2023 | $1.28 | $1.34 | $1.25 | $1.30 | 150 693 |
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 VRSSF stock historical prices to predict future price movements?
Trend Analysis: Examine the VRSSF 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 VRSSF 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.