OTCBB:HVBTF
Delisted
HIVE Blockchain Technologies Ltd. Stock Price (Quote)
$1.87
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.87 | $1.87 | Wednesday, 17th Aug 2022 HVBTF stock ended at $1.87. During the day the stock fluctuated 0% from a day low at $1.87 to a day high of $1.87. |
90 days | $1.87 | $1.87 | |
52 weeks | $1.50 | $5.60 |
Date | Open | High | Low | Close | Volume |
Oct 29, 2021 | $3.74 | $3.97 | $3.54 | $3.54 | 17 124 802 |
Oct 28, 2021 | $3.67 | $3.71 | $3.49 | $3.69 | 8 784 310 |
Oct 27, 2021 | $3.63 | $3.75 | $3.41 | $3.42 | 9 636 431 |
Oct 26, 2021 | $3.95 | $3.95 | $3.75 | $3.82 | 8 652 910 |
Oct 25, 2021 | $3.66 | $3.95 | $3.66 | $3.90 | 11 217 783 |
Oct 22, 2021 | $3.71 | $3.74 | $3.49 | $3.56 | 9 951 090 |
Oct 21, 2021 | $4.05 | $4.21 | $3.72 | $3.76 | 16 951 056 |
Oct 20, 2021 | $3.70 | $4.10 | $3.65 | $3.97 | 20 403 244 |
Oct 19, 2021 | $3.47 | $3.66 | $3.25 | $3.64 | 13 378 763 |
Oct 18, 2021 | $3.18 | $3.50 | $3.15 | $3.35 | 13 040 649 |
Oct 15, 2021 | $2.96 | $3.20 | $2.93 | $3.13 | 10 914 424 |
Oct 14, 2021 | $2.94 | $2.95 | $2.84 | $2.89 | 3 254 657 |
Oct 13, 2021 | $2.92 | $2.94 | $2.79 | $2.87 | 3 329 432 |
Oct 12, 2021 | $3.05 | $3.06 | $2.85 | $2.89 | 4 922 272 |
Oct 11, 2021 | $2.96 | $3.15 | $2.94 | $3.11 | 4 220 748 |
Oct 08, 2021 | $3.02 | $3.03 | $2.88 | $2.92 | 2 859 309 |
Oct 07, 2021 | $3.04 | $3.06 | $2.92 | $2.95 | 2 964 326 |
Oct 06, 2021 | $3.12 | $3.16 | $2.99 | $3.07 | 7 014 992 |
Oct 05, 2021 | $2.90 | $3.06 | $2.84 | $3.04 | 7 202 748 |
Oct 04, 2021 | $2.88 | $2.90 | $2.74 | $2.83 | 4 886 178 |
Oct 01, 2021 | $2.84 | $2.84 | $2.70 | $2.78 | 5 106 273 |
Sep 30, 2021 | $2.68 | $2.68 | $2.56 | $2.67 | 3 321 550 |
Sep 29, 2021 | $2.72 | $2.74 | $2.55 | $2.56 | 2 722 346 |
Sep 28, 2021 | $2.76 | $2.83 | $2.63 | $2.66 | 3 295 509 |
Sep 27, 2021 | $2.90 | $2.96 | $2.80 | $2.86 | 3 014 292 |
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 HVBTF stock historical prices to predict future price movements?
Trend Analysis: Examine the HVBTF 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 HVBTF 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.