TYO:3681
V-cube,Inc. Stock Price (Quote)
JP¥258.00
+15.00 (+6.17%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥225.00 | JP¥258.00 | Friday, 17th May 2024 3681.T stock ended at JP¥258.00. This is 6.17% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 7.50% from a day low at JP¥240.00 to a day high of JP¥258.00. |
90 days | JP¥225.00 | JP¥345.00 | |
52 weeks | JP¥225.00 | JP¥545.00 |
Date | Open | High | Low | Close | Volume |
Aug 28, 2023 | JP¥425.00 | JP¥430.00 | JP¥416.00 | JP¥421.00 | 952 200 |
Aug 25, 2023 | JP¥413.00 | JP¥449.00 | JP¥412.00 | JP¥427.00 | 789 300 |
Aug 24, 2023 | JP¥413.00 | JP¥423.00 | JP¥409.00 | JP¥420.00 | 354 400 |
Aug 23, 2023 | JP¥400.00 | JP¥415.00 | JP¥394.00 | JP¥412.00 | 402 700 |
Aug 22, 2023 | JP¥373.00 | JP¥400.00 | JP¥373.00 | JP¥397.00 | 697 000 |
Aug 21, 2023 | JP¥369.00 | JP¥380.00 | JP¥366.00 | JP¥371.00 | 281 200 |
Aug 18, 2023 | JP¥375.00 | JP¥382.00 | JP¥372.00 | JP¥374.00 | 222 200 |
Aug 17, 2023 | JP¥373.00 | JP¥380.00 | JP¥366.00 | JP¥375.00 | 348 200 |
Aug 16, 2023 | JP¥400.00 | JP¥401.00 | JP¥373.00 | JP¥377.00 | 1 198 500 |
Aug 15, 2023 | JP¥381.00 | JP¥403.00 | JP¥381.00 | JP¥393.00 | 1 058 800 |
Aug 14, 2023 | JP¥365.00 | JP¥384.00 | JP¥354.00 | JP¥381.00 | 1 184 800 |
Aug 10, 2023 | JP¥429.00 | JP¥431.00 | JP¥423.00 | JP¥429.00 | 270 900 |
Aug 09, 2023 | JP¥418.00 | JP¥437.00 | JP¥418.00 | JP¥428.00 | 253 100 |
Aug 08, 2023 | JP¥425.00 | JP¥427.00 | JP¥415.00 | JP¥417.00 | 196 800 |
Aug 07, 2023 | JP¥416.00 | JP¥427.00 | JP¥415.00 | JP¥427.00 | 197 700 |
Aug 04, 2023 | JP¥419.00 | JP¥424.00 | JP¥414.00 | JP¥421.00 | 243 900 |
Aug 03, 2023 | JP¥441.00 | JP¥443.00 | JP¥420.00 | JP¥420.00 | 528 800 |
Aug 02, 2023 | JP¥454.00 | JP¥455.00 | JP¥445.00 | JP¥445.00 | 250 400 |
Aug 01, 2023 | JP¥458.00 | JP¥467.00 | JP¥457.00 | JP¥459.00 | 156 200 |
Jul 31, 2023 | JP¥454.00 | JP¥459.00 | JP¥452.00 | JP¥458.00 | 189 900 |
Jul 28, 2023 | JP¥453.00 | JP¥457.00 | JP¥448.00 | JP¥456.00 | 229 800 |
Jul 27, 2023 | JP¥452.00 | JP¥457.00 | JP¥451.00 | JP¥457.00 | 134 800 |
Jul 26, 2023 | JP¥448.00 | JP¥455.00 | JP¥444.00 | JP¥455.00 | 183 900 |
Jul 25, 2023 | JP¥451.00 | JP¥454.00 | JP¥444.00 | JP¥448.00 | 579 800 |
Jul 24, 2023 | JP¥449.00 | JP¥454.00 | JP¥449.00 | JP¥449.00 | 159 000 |
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 3681.T stock historical prices to predict future price movements?
Trend Analysis: Examine the 3681.T 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 3681.T 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.