TYO:9831
YAMADA DENKI CO.,LTD. Stock Price (Quote)
JP¥433.20
-2.10 (-0.482%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥426.10 | JP¥455.10 | Thursday, 16th May 2024 9831.T stock ended at JP¥433.20. This is 0.482% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 1.14% from a day low at JP¥431.40 to a day high of JP¥436.30. |
90 days | JP¥426.10 | JP¥473.00 | |
52 weeks | JP¥412.00 | JP¥487.80 |
Date | Open | High | Low | Close | Volume |
Jul 20, 2023 | JP¥429.00 | JP¥430.50 | JP¥426.70 | JP¥427.70 | 2 822 900 |
Jul 19, 2023 | JP¥425.50 | JP¥428.30 | JP¥425.10 | JP¥427.60 | 3 084 900 |
Jul 18, 2023 | JP¥426.80 | JP¥428.50 | JP¥424.40 | JP¥425.20 | 2 572 800 |
Jul 14, 2023 | JP¥428.20 | JP¥429.30 | JP¥425.60 | JP¥427.20 | 2 863 900 |
Jul 13, 2023 | JP¥431.60 | JP¥431.70 | JP¥426.70 | JP¥426.70 | 3 043 300 |
Jul 12, 2023 | JP¥428.50 | JP¥433.20 | JP¥427.20 | JP¥430.90 | 4 663 300 |
Jul 11, 2023 | JP¥425.50 | JP¥428.90 | JP¥425.30 | JP¥427.40 | 4 558 600 |
Jul 10, 2023 | JP¥422.00 | JP¥425.20 | JP¥420.60 | JP¥424.70 | 4 073 500 |
Jul 07, 2023 | JP¥419.00 | JP¥422.00 | JP¥417.30 | JP¥419.90 | 3 728 700 |
Jul 06, 2023 | JP¥423.80 | JP¥424.40 | JP¥419.80 | JP¥420.30 | 4 258 100 |
Jul 05, 2023 | JP¥424.10 | JP¥425.30 | JP¥422.20 | JP¥424.60 | 3 092 200 |
Jul 04, 2023 | JP¥425.50 | JP¥427.00 | JP¥423.00 | JP¥423.20 | 3 608 100 |
Jul 03, 2023 | JP¥423.70 | JP¥426.40 | JP¥423.70 | JP¥425.10 | 3 228 400 |
Jun 30, 2023 | JP¥428.50 | JP¥428.80 | JP¥423.80 | JP¥424.40 | 3 978 800 |
Jun 29, 2023 | JP¥430.80 | JP¥432.00 | JP¥427.70 | JP¥428.00 | 3 816 600 |
Jun 28, 2023 | JP¥421.50 | JP¥427.20 | JP¥421.50 | JP¥427.20 | 2 869 900 |
Jun 27, 2023 | JP¥424.30 | JP¥424.70 | JP¥420.10 | JP¥421.90 | 2 389 000 |
Jun 26, 2023 | JP¥423.60 | JP¥424.20 | JP¥420.50 | JP¥422.50 | 2 336 300 |
Jun 23, 2023 | JP¥426.00 | JP¥426.30 | JP¥421.50 | JP¥422.90 | 3 284 900 |
Jun 22, 2023 | JP¥423.20 | JP¥425.40 | JP¥422.30 | JP¥424.60 | 2 702 700 |
Jun 21, 2023 | JP¥419.70 | JP¥424.50 | JP¥419.70 | JP¥423.70 | 2 824 800 |
Jun 20, 2023 | JP¥423.60 | JP¥423.60 | JP¥418.80 | JP¥421.40 | 5 547 700 |
Jun 19, 2023 | JP¥429.90 | JP¥431.10 | JP¥424.40 | JP¥425.50 | 5 099 700 |
Jun 16, 2023 | JP¥429.00 | JP¥430.80 | JP¥427.70 | JP¥428.90 | 8 603 800 |
Jun 15, 2023 | JP¥430.60 | JP¥433.40 | JP¥428.80 | JP¥431.60 | 3 922 100 |
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 9831.T stock historical prices to predict future price movements?
Trend Analysis: Examine the 9831.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 9831.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.