NASDAQ:SIOX
Delisted
Sio Gene Therapies Inc Stock Price (Quote)
$0.478
+0 (+0%)
At Close: May 06, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.478 | $0.478 | Monday, 6th May 2024 SIOX stock ended at $0.478. During the day the stock fluctuated 0% from a day low at $0.478 to a day high of $0.478. |
90 days | $0.450 | $0.479 | |
52 weeks | $0.250 | $0.500 |
Historical Sio Gene Therapies Inc prices
Date | Open | High | Low | Close | Volume |
Apr 11, 2019 | $8.80 | $8.95 | $8.48 | $8.56 | 158 920 |
Apr 10, 2019 | $9.04 | $9.36 | $8.72 | $8.72 | 142 404 |
Apr 09, 2019 | $9.28 | $9.36 | $8.96 | $9.12 | 184 963 |
Apr 08, 2019 | $9.60 | $9.60 | $8.96 | $9.36 | 123 013 |
Apr 05, 2019 | $9.20 | $9.68 | $9.20 | $9.52 | 372 330 |
Apr 04, 2019 | $10.16 | $10.35 | $9.76 | $10.00 | 152 989 |
Apr 03, 2019 | $10.56 | $10.56 | $9.92 | $10.00 | 199 821 |
Apr 02, 2019 | $10.08 | $10.56 | $9.60 | $10.48 | 228 265 |
Apr 01, 2019 | $10.72 | $10.80 | $10.08 | $10.08 | 234 879 |
Mar 29, 2019 | $11.12 | $11.12 | $10.48 | $10.64 | 171 686 |
Mar 28, 2019 | $11.12 | $11.21 | $10.56 | $10.96 | 200 092 |
Mar 27, 2019 | $11.04 | $11.12 | $10.24 | $10.80 | 357 062 |
Mar 26, 2019 | $10.96 | $11.04 | $10.76 | $10.96 | 120 040 |
Mar 25, 2019 | $11.12 | $11.26 | $10.56 | $10.88 | 151 232 |
Mar 22, 2019 | $11.36 | $11.52 | $10.88 | $11.12 | 170 704 |
Mar 21, 2019 | $11.44 | $11.68 | $11.12 | $11.52 | 151 939 |
Mar 20, 2019 | $11.52 | $11.92 | $11.36 | $11.44 | 270 072 |
Mar 19, 2019 | $11.20 | $11.28 | $10.80 | $11.20 | 456 724 |
Mar 18, 2019 | $11.44 | $11.52 | $10.96 | $11.12 | 312 254 |
Mar 15, 2019 | $11.68 | $12.00 | $11.12 | $11.36 | 526 864 |
Mar 14, 2019 | $11.84 | $12.24 | $11.28 | $11.36 | 1 606 235 |
Mar 13, 2019 | $14.32 | $14.48 | $13.28 | $14.00 | 401 806 |
Mar 12, 2019 | $14.72 | $15.13 | $12.88 | $14.16 | 649 389 |
Mar 11, 2019 | $16.96 | $19.60 | $13.44 | $13.52 | 4 796 916 |
Mar 08, 2019 | $11.28 | $12.08 | $10.96 | $11.84 | 407 645 |
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 SIOX stock historical prices to predict future price movements?
Trend Analysis: Examine the SIOX 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 SIOX 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.