TYO:7707
Precision System Science Co.,Ltd. Stock Price (Quote)
JP¥185.00
-2.00 (-1.07%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥184.00 | JP¥201.00 | Friday, 31st May 2024 7707.T stock ended at JP¥185.00. This is 1.07% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.17% from a day low at JP¥184.00 to a day high of JP¥188.00. |
90 days | JP¥184.00 | JP¥228.00 | |
52 weeks | JP¥180.00 | JP¥369.00 |
Historical Precision System Science Co.,Ltd. prices
Date | Open | High | Low | Close | Volume |
Oct 13, 2022 | JP¥442.00 | JP¥451.00 | JP¥423.00 | JP¥435.00 | 223 200 |
Oct 12, 2022 | JP¥446.00 | JP¥446.00 | JP¥432.00 | JP¥439.00 | 203 100 |
Oct 11, 2022 | JP¥441.00 | JP¥453.00 | JP¥436.00 | JP¥446.00 | 175 500 |
Oct 07, 2022 | JP¥450.00 | JP¥452.00 | JP¥442.00 | JP¥449.00 | 242 400 |
Oct 06, 2022 | JP¥434.00 | JP¥460.00 | JP¥434.00 | JP¥447.00 | 288 600 |
Oct 05, 2022 | JP¥438.00 | JP¥442.00 | JP¥430.00 | JP¥434.00 | 201 700 |
Oct 04, 2022 | JP¥430.00 | JP¥441.00 | JP¥429.00 | JP¥437.00 | 211 000 |
Oct 03, 2022 | JP¥413.00 | JP¥430.00 | JP¥411.00 | JP¥427.00 | 178 400 |
Sep 30, 2022 | JP¥418.00 | JP¥424.00 | JP¥414.00 | JP¥416.00 | 171 100 |
Sep 29, 2022 | JP¥413.00 | JP¥438.00 | JP¥413.00 | JP¥425.00 | 324 600 |
Sep 28, 2022 | JP¥419.00 | JP¥422.00 | JP¥403.00 | JP¥408.00 | 286 400 |
Sep 27, 2022 | JP¥422.00 | JP¥427.00 | JP¥413.00 | JP¥419.00 | 362 600 |
Sep 26, 2022 | JP¥426.00 | JP¥428.00 | JP¥420.00 | JP¥421.00 | 183 600 |
Sep 22, 2022 | JP¥432.00 | JP¥439.00 | JP¥424.00 | JP¥434.00 | 214 700 |
Sep 21, 2022 | JP¥438.00 | JP¥443.00 | JP¥433.00 | JP¥439.00 | 225 000 |
Sep 20, 2022 | JP¥450.00 | JP¥450.00 | JP¥435.00 | JP¥442.00 | 229 400 |
Sep 16, 2022 | JP¥453.00 | JP¥459.00 | JP¥445.00 | JP¥451.00 | 219 300 |
Sep 15, 2022 | JP¥459.00 | JP¥462.00 | JP¥452.00 | JP¥453.00 | 165 800 |
Sep 14, 2022 | JP¥458.00 | JP¥476.00 | JP¥457.00 | JP¥457.00 | 309 800 |
Sep 13, 2022 | JP¥473.00 | JP¥477.00 | JP¥468.00 | JP¥469.00 | 217 100 |
Sep 12, 2022 | JP¥481.00 | JP¥492.00 | JP¥469.00 | JP¥473.00 | 382 100 |
Sep 09, 2022 | JP¥473.00 | JP¥488.00 | JP¥472.00 | JP¥481.00 | 339 300 |
Sep 08, 2022 | JP¥468.00 | JP¥476.00 | JP¥467.00 | JP¥467.00 | 173 000 |
Sep 07, 2022 | JP¥475.00 | JP¥475.00 | JP¥460.00 | JP¥471.00 | 257 600 |
Sep 06, 2022 | JP¥480.00 | JP¥484.00 | JP¥473.00 | JP¥474.00 | 209 100 |
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 7707.T stock historical prices to predict future price movements?
Trend Analysis: Examine the 7707.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 7707.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.