TYO:3681
V-cube,Inc. Stock Price (Quote)
JP¥246.00
-3.00 (-1.20%)
At Close: May 27, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥230.00 | JP¥265.00 | Monday, 27th May 2024 3681.T stock ended at JP¥246.00. This is 1.20% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 2.04% from a day low at JP¥245.00 to a day high of JP¥250.00. |
90 days | JP¥225.00 | JP¥345.00 | |
52 weeks | JP¥225.00 | JP¥545.00 |
Date | Open | High | Low | Close | Volume |
Dec 25, 2023 | JP¥308.00 | JP¥311.00 | JP¥291.00 | JP¥294.00 | 630 700 |
Dec 22, 2023 | JP¥323.00 | JP¥327.00 | JP¥310.00 | JP¥310.00 | 330 400 |
Dec 21, 2023 | JP¥317.00 | JP¥327.00 | JP¥314.00 | JP¥323.00 | 365 600 |
Dec 20, 2023 | JP¥318.00 | JP¥323.00 | JP¥313.00 | JP¥318.00 | 444 700 |
Dec 19, 2023 | JP¥303.00 | JP¥314.00 | JP¥303.00 | JP¥314.00 | 307 000 |
Dec 18, 2023 | JP¥302.00 | JP¥306.00 | JP¥299.00 | JP¥305.00 | 172 500 |
Dec 15, 2023 | JP¥296.00 | JP¥308.00 | JP¥296.00 | JP¥305.00 | 281 500 |
Dec 14, 2023 | JP¥298.00 | JP¥311.00 | JP¥298.00 | JP¥298.00 | 358 700 |
Dec 13, 2023 | JP¥293.00 | JP¥304.00 | JP¥292.00 | JP¥298.00 | 745 800 |
Dec 12, 2023 | JP¥296.00 | JP¥298.00 | JP¥288.00 | JP¥291.00 | 340 300 |
Dec 11, 2023 | JP¥301.00 | JP¥305.00 | JP¥297.00 | JP¥298.00 | 275 400 |
Dec 08, 2023 | JP¥304.00 | JP¥308.00 | JP¥299.00 | JP¥301.00 | 198 200 |
Dec 07, 2023 | JP¥313.00 | JP¥315.00 | JP¥302.00 | JP¥306.00 | 370 100 |
Dec 06, 2023 | JP¥324.00 | JP¥328.00 | JP¥313.00 | JP¥313.00 | 378 200 |
Dec 05, 2023 | JP¥324.00 | JP¥327.00 | JP¥321.00 | JP¥324.00 | 168 500 |
Dec 04, 2023 | JP¥321.00 | JP¥332.00 | JP¥321.00 | JP¥328.00 | 204 300 |
Dec 01, 2023 | JP¥331.00 | JP¥334.00 | JP¥321.00 | JP¥323.00 | 313 200 |
Nov 30, 2023 | JP¥338.00 | JP¥340.00 | JP¥330.00 | JP¥331.00 | 223 500 |
Nov 29, 2023 | JP¥339.00 | JP¥347.00 | JP¥335.00 | JP¥340.00 | 300 100 |
Nov 28, 2023 | JP¥344.00 | JP¥345.00 | JP¥332.00 | JP¥332.00 | 281 000 |
Nov 27, 2023 | JP¥351.00 | JP¥356.00 | JP¥345.00 | JP¥345.00 | 123 900 |
Nov 24, 2023 | JP¥353.00 | JP¥360.00 | JP¥353.00 | JP¥353.00 | 115 000 |
Nov 22, 2023 | JP¥360.00 | JP¥364.00 | JP¥352.00 | JP¥357.00 | 241 100 |
Nov 21, 2023 | JP¥373.00 | JP¥373.00 | JP¥361.00 | JP¥364.00 | 130 800 |
Nov 20, 2023 | JP¥364.00 | JP¥375.00 | JP¥364.00 | JP¥369.00 | 209 200 |
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.