TYO:7283
AISAN INDUSTRY CO.,LTD. Stock Price (Quote)
JP¥1,365.00
-16.00 (-1.16%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥1,362.00 | JP¥1,477.00 | Friday, 31st May 2024 7283.T stock ended at JP¥1,365.00. This is 1.16% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.81% from a day low at JP¥1,365.00 to a day high of JP¥1,417.00. |
90 days | JP¥1,362.00 | JP¥1,731.00 | |
52 weeks | JP¥958.00 | JP¥1,731.00 |
Historical AISAN INDUSTRY CO.,LTD. prices
Date | Open | High | Low | Close | Volume |
May 19, 2022 | JP¥704.00 | JP¥717.00 | JP¥700.00 | JP¥715.00 | 342 300 |
May 18, 2022 | JP¥732.00 | JP¥739.00 | JP¥723.00 | JP¥733.00 | 155 000 |
May 17, 2022 | JP¥728.00 | JP¥733.00 | JP¥723.00 | JP¥730.00 | 170 800 |
May 16, 2022 | JP¥745.00 | JP¥757.00 | JP¥732.00 | JP¥733.00 | 224 500 |
May 13, 2022 | JP¥721.00 | JP¥741.00 | JP¥717.00 | JP¥739.00 | 209 600 |
May 12, 2022 | JP¥710.00 | JP¥738.00 | JP¥710.00 | JP¥717.00 | 122 900 |
May 11, 2022 | JP¥726.00 | JP¥733.00 | JP¥712.00 | JP¥718.00 | 107 800 |
May 10, 2022 | JP¥745.00 | JP¥745.00 | JP¥726.00 | JP¥744.00 | 128 400 |
May 09, 2022 | JP¥760.00 | JP¥770.00 | JP¥754.00 | JP¥755.00 | 149 000 |
May 06, 2022 | JP¥742.00 | JP¥773.00 | JP¥742.00 | JP¥767.00 | 546 200 |
May 02, 2022 | JP¥706.00 | JP¥725.00 | JP¥693.00 | JP¥715.00 | 275 400 |
Apr 28, 2022 | JP¥680.00 | JP¥708.00 | JP¥666.00 | JP¥706.00 | 595 800 |
Apr 27, 2022 | JP¥654.00 | JP¥655.00 | JP¥645.00 | JP¥650.00 | 133 000 |
Apr 26, 2022 | JP¥670.00 | JP¥671.00 | JP¥661.00 | JP¥665.00 | 54 600 |
Apr 25, 2022 | JP¥670.00 | JP¥672.00 | JP¥663.00 | JP¥663.00 | 96 100 |
Apr 22, 2022 | JP¥685.00 | JP¥686.00 | JP¥678.00 | JP¥686.00 | 116 300 |
Apr 21, 2022 | JP¥681.00 | JP¥695.00 | JP¥681.00 | JP¥695.00 | 88 500 |
Apr 20, 2022 | JP¥681.00 | JP¥690.00 | JP¥676.00 | JP¥686.00 | 99 800 |
Apr 19, 2022 | JP¥671.00 | JP¥677.00 | JP¥664.00 | JP¥675.00 | 71 500 |
Apr 18, 2022 | JP¥659.00 | JP¥665.00 | JP¥651.00 | JP¥662.00 | 72 200 |
Apr 15, 2022 | JP¥660.00 | JP¥664.00 | JP¥657.00 | JP¥663.00 | 66 600 |
Apr 14, 2022 | JP¥665.00 | JP¥670.00 | JP¥660.00 | JP¥668.00 | 40 700 |
Apr 13, 2022 | JP¥656.00 | JP¥667.00 | JP¥655.00 | JP¥663.00 | 88 400 |
Apr 12, 2022 | JP¥664.00 | JP¥667.00 | JP¥655.00 | JP¥655.00 | 197 800 |
Apr 11, 2022 | JP¥671.00 | JP¥679.00 | JP¥664.00 | JP¥670.00 | 57 600 |
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 7283.T stock historical prices to predict future price movements?
Trend Analysis: Examine the 7283.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 7283.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.