TYO:8714
Senshu Ikeda Holdings,Inc. Stock Price (Quote)
JP¥390.00
+7.00 (+1.83%)
At Close: Jun 25, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥378.00 | JP¥449.00 | Tuesday, 25th Jun 2024 8714.T stock ended at JP¥390.00. This is 1.83% more than the trading day before Monday, 24th Jun 2024. During the day the stock fluctuated 2.60% from a day low at JP¥385.00 to a day high of JP¥395.00. |
90 days | JP¥363.00 | JP¥449.00 | |
52 weeks | JP¥229.00 | JP¥449.00 |
Historical Senshu Ikeda Holdings,Inc. prices
Date | Open | High | Low | Close | Volume |
Jun 25, 2024 | JP¥386.00 | JP¥395.00 | JP¥385.00 | JP¥390.00 | 1 111 800 |
Jun 24, 2024 | JP¥383.00 | JP¥386.00 | JP¥380.00 | JP¥383.00 | 896 900 |
Jun 21, 2024 | JP¥386.00 | JP¥386.00 | JP¥380.00 | JP¥380.00 | 1 508 300 |
Jun 20, 2024 | JP¥383.00 | JP¥386.00 | JP¥378.00 | JP¥381.00 | 1 287 100 |
Jun 19, 2024 | JP¥384.00 | JP¥391.00 | JP¥384.00 | JP¥388.00 | 768 800 |
Jun 18, 2024 | JP¥391.00 | JP¥391.00 | JP¥382.00 | JP¥382.00 | 1 024 800 |
Jun 17, 2024 | JP¥390.00 | JP¥392.00 | JP¥383.00 | JP¥388.00 | 1 364 700 |
Jun 14, 2024 | JP¥388.00 | JP¥397.00 | JP¥386.00 | JP¥392.00 | 1 619 900 |
Jun 13, 2024 | JP¥400.00 | JP¥401.00 | JP¥390.00 | JP¥391.00 | 1 107 800 |
Jun 12, 2024 | JP¥400.00 | JP¥402.00 | JP¥397.00 | JP¥399.00 | 923 600 |
Jun 11, 2024 | JP¥409.00 | JP¥411.00 | JP¥403.00 | JP¥403.00 | 989 900 |
Jun 10, 2024 | JP¥406.00 | JP¥409.00 | JP¥404.00 | JP¥407.00 | 968 700 |
Jun 07, 2024 | JP¥401.00 | JP¥405.00 | JP¥397.00 | JP¥398.00 | 1 077 900 |
Jun 06, 2024 | JP¥401.00 | JP¥404.00 | JP¥397.00 | JP¥402.00 | 1 822 700 |
Jun 05, 2024 | JP¥413.00 | JP¥415.00 | JP¥398.00 | JP¥402.00 | 2 647 900 |
Jun 04, 2024 | JP¥444.00 | JP¥448.00 | JP¥420.00 | JP¥421.00 | 3 870 400 |
Jun 03, 2024 | JP¥429.00 | JP¥449.00 | JP¥429.00 | JP¥446.00 | 3 167 600 |
May 31, 2024 | JP¥413.00 | JP¥423.00 | JP¥412.00 | JP¥423.00 | 2 358 700 |
May 30, 2024 | JP¥405.00 | JP¥413.00 | JP¥400.00 | JP¥409.00 | 1 501 000 |
May 29, 2024 | JP¥412.00 | JP¥422.00 | JP¥408.00 | JP¥408.00 | 2 228 500 |
May 28, 2024 | JP¥397.00 | JP¥411.00 | JP¥397.00 | JP¥411.00 | 2 715 700 |
May 27, 2024 | JP¥396.00 | JP¥402.00 | JP¥395.00 | JP¥400.00 | 1 987 100 |
May 24, 2024 | JP¥384.00 | JP¥393.00 | JP¥382.00 | JP¥389.00 | 1 360 500 |
May 23, 2024 | JP¥389.00 | JP¥389.00 | JP¥384.00 | JP¥388.00 | 1 223 400 |
May 22, 2024 | JP¥388.00 | JP¥389.00 | JP¥383.00 | JP¥387.00 | 1 479 100 |
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 8714.T stock historical prices to predict future price movements?
Trend Analysis: Examine the 8714.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 8714.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.