TYO:3939
Kanamic Network Co.,LTD Stock Price (Quote)
JP¥506.00
+6.00 (+1.20%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥472.00 | JP¥554.00 | Friday, 31st May 2024 3939.T stock ended at JP¥506.00. This is 1.20% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.42% from a day low at JP¥496.00 to a day high of JP¥508.00. |
90 days | JP¥468.00 | JP¥564.00 | |
52 weeks | JP¥370.00 | JP¥564.00 |
Historical Kanamic Network Co.,LTD prices
Date | Open | High | Low | Close | Volume |
Jun 29, 2023 | JP¥470.00 | JP¥474.00 | JP¥464.00 | JP¥467.00 | 156 900 |
Jun 28, 2023 | JP¥458.00 | JP¥467.00 | JP¥458.00 | JP¥467.00 | 232 400 |
Jun 27, 2023 | JP¥460.00 | JP¥463.00 | JP¥448.00 | JP¥456.00 | 266 300 |
Jun 26, 2023 | JP¥473.00 | JP¥474.00 | JP¥463.00 | JP¥463.00 | 198 300 |
Jun 23, 2023 | JP¥486.00 | JP¥487.00 | JP¥469.00 | JP¥473.00 | 279 900 |
Jun 22, 2023 | JP¥495.00 | JP¥506.00 | JP¥484.00 | JP¥486.00 | 310 700 |
Jun 21, 2023 | JP¥495.00 | JP¥503.00 | JP¥490.00 | JP¥491.00 | 322 300 |
Jun 20, 2023 | JP¥488.00 | JP¥499.00 | JP¥480.00 | JP¥497.00 | 545 700 |
Jun 19, 2023 | JP¥452.00 | JP¥491.00 | JP¥452.00 | JP¥488.00 | 965 200 |
Jun 16, 2023 | JP¥440.00 | JP¥448.00 | JP¥437.00 | JP¥444.00 | 267 900 |
Jun 15, 2023 | JP¥439.00 | JP¥443.00 | JP¥435.00 | JP¥437.00 | 378 000 |
Jun 14, 2023 | JP¥448.00 | JP¥448.00 | JP¥440.00 | JP¥440.00 | 117 200 |
Jun 13, 2023 | JP¥444.00 | JP¥451.00 | JP¥440.00 | JP¥441.00 | 197 700 |
Jun 12, 2023 | JP¥437.00 | JP¥442.00 | JP¥435.00 | JP¥440.00 | 198 900 |
Jun 09, 2023 | JP¥445.00 | JP¥445.00 | JP¥435.00 | JP¥437.00 | 212 400 |
Jun 08, 2023 | JP¥450.00 | JP¥454.00 | JP¥439.00 | JP¥442.00 | 278 300 |
Jun 07, 2023 | JP¥454.00 | JP¥460.00 | JP¥445.00 | JP¥448.00 | 213 000 |
Jun 06, 2023 | JP¥447.00 | JP¥452.00 | JP¥439.00 | JP¥452.00 | 375 600 |
Jun 05, 2023 | JP¥452.00 | JP¥454.00 | JP¥446.00 | JP¥450.00 | 160 200 |
Jun 02, 2023 | JP¥438.00 | JP¥445.00 | JP¥435.00 | JP¥444.00 | 167 800 |
Jun 01, 2023 | JP¥442.00 | JP¥443.00 | JP¥436.00 | JP¥437.00 | 256 800 |
May 31, 2023 | JP¥446.00 | JP¥448.00 | JP¥436.00 | JP¥445.00 | 269 500 |
May 30, 2023 | JP¥444.00 | JP¥452.00 | JP¥434.00 | JP¥452.00 | 385 700 |
May 29, 2023 | JP¥454.00 | JP¥455.00 | JP¥443.00 | JP¥444.00 | 211 500 |
May 26, 2023 | JP¥458.00 | JP¥458.00 | JP¥450.00 | JP¥451.00 | 260 300 |
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 3939.T stock historical prices to predict future price movements?
Trend Analysis: Examine the 3939.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 3939.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.