TYO:4997
NIHON NOHYAKU CO.,LTD. Stock Price (Quote)
JP¥750.00
+8.00 (+1.08%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥708.00 | JP¥810.00 | Friday, 17th May 2024 4997.T stock ended at JP¥750.00. This is 1.08% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.03% from a day low at JP¥739.00 to a day high of JP¥754.00. |
90 days | JP¥682.00 | JP¥834.00 | |
52 weeks | JP¥587.00 | JP¥834.00 |
Date | Open | High | Low | Close | Volume |
Jan 25, 2024 | JP¥672.00 | JP¥686.00 | JP¥672.00 | JP¥684.00 | 180 600 |
Jan 24, 2024 | JP¥670.00 | JP¥673.00 | JP¥665.00 | JP¥669.00 | 100 900 |
Jan 23, 2024 | JP¥673.00 | JP¥675.00 | JP¥667.00 | JP¥673.00 | 121 200 |
Jan 22, 2024 | JP¥670.00 | JP¥674.00 | JP¥668.00 | JP¥670.00 | 103 800 |
Jan 19, 2024 | JP¥667.00 | JP¥673.00 | JP¥666.00 | JP¥669.00 | 127 400 |
Jan 18, 2024 | JP¥665.00 | JP¥672.00 | JP¥663.00 | JP¥665.00 | 107 900 |
Jan 17, 2024 | JP¥668.00 | JP¥675.00 | JP¥661.00 | JP¥663.00 | 127 000 |
Jan 16, 2024 | JP¥669.00 | JP¥675.00 | JP¥663.00 | JP¥663.00 | 143 500 |
Jan 15, 2024 | JP¥661.00 | JP¥668.00 | JP¥659.00 | JP¥664.00 | 138 100 |
Jan 12, 2024 | JP¥667.00 | JP¥670.00 | JP¥658.00 | JP¥662.00 | 164 700 |
Jan 11, 2024 | JP¥661.00 | JP¥668.00 | JP¥661.00 | JP¥665.00 | 192 300 |
Jan 10, 2024 | JP¥656.00 | JP¥664.00 | JP¥656.00 | JP¥656.00 | 204 600 |
Jan 09, 2024 | JP¥653.00 | JP¥658.00 | JP¥647.00 | JP¥655.00 | 167 400 |
Jan 05, 2024 | JP¥653.00 | JP¥657.00 | JP¥650.00 | JP¥650.00 | 138 200 |
Jan 04, 2024 | JP¥640.00 | JP¥649.00 | JP¥634.00 | JP¥647.00 | 147 400 |
Dec 29, 2023 | JP¥650.00 | JP¥651.00 | JP¥642.00 | JP¥644.00 | 117 000 |
Dec 28, 2023 | JP¥638.00 | JP¥651.00 | JP¥636.00 | JP¥649.00 | 193 300 |
Dec 27, 2023 | JP¥626.00 | JP¥638.00 | JP¥624.00 | JP¥638.00 | 161 700 |
Dec 26, 2023 | JP¥621.00 | JP¥628.00 | JP¥621.00 | JP¥627.00 | 111 200 |
Dec 25, 2023 | JP¥632.00 | JP¥637.00 | JP¥621.00 | JP¥621.00 | 117 400 |
Dec 22, 2023 | JP¥619.00 | JP¥625.00 | JP¥619.00 | JP¥623.00 | 102 400 |
Dec 21, 2023 | JP¥630.00 | JP¥633.00 | JP¥619.00 | JP¥619.00 | 132 400 |
Dec 20, 2023 | JP¥636.00 | JP¥641.00 | JP¥634.00 | JP¥637.00 | 178 700 |
Dec 19, 2023 | JP¥627.00 | JP¥631.00 | JP¥620.00 | JP¥631.00 | 183 000 |
Dec 18, 2023 | JP¥632.00 | JP¥635.00 | JP¥626.00 | JP¥630.00 | 173 200 |
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 4997.T stock historical prices to predict future price movements?
Trend Analysis: Examine the 4997.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 4997.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.