TYO:2317
Systena Corporation Stock Price (Quote)
JP¥280.00
-4.00 (-1.41%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥258.00 | JP¥287.00 | Tuesday, 21st May 2024 2317.T stock ended at JP¥280.00. This is 1.41% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 1.43% from a day low at JP¥280.00 to a day high of JP¥284.00. |
90 days | JP¥254.00 | JP¥300.00 | |
52 weeks | JP¥235.00 | JP¥322.00 |
Date | Open | High | Low | Close | Volume |
Apr 11, 2024 | JP¥265.00 | JP¥266.00 | JP¥262.00 | JP¥263.00 | 752 100 |
Apr 10, 2024 | JP¥264.00 | JP¥267.00 | JP¥264.00 | JP¥265.00 | 1 058 900 |
Apr 09, 2024 | JP¥265.00 | JP¥267.00 | JP¥263.00 | JP¥264.00 | 898 900 |
Apr 08, 2024 | JP¥261.00 | JP¥264.00 | JP¥259.00 | JP¥263.00 | 1 114 300 |
Apr 05, 2024 | JP¥262.00 | JP¥263.00 | JP¥258.00 | JP¥260.00 | 1 652 700 |
Apr 04, 2024 | JP¥265.00 | JP¥267.00 | JP¥263.00 | JP¥263.00 | 1 253 700 |
Apr 03, 2024 | JP¥263.00 | JP¥265.00 | JP¥260.00 | JP¥262.00 | 1 786 500 |
Apr 02, 2024 | JP¥268.00 | JP¥269.00 | JP¥264.00 | JP¥267.00 | 1 484 500 |
Apr 01, 2024 | JP¥273.00 | JP¥273.00 | JP¥268.00 | JP¥268.00 | 1 089 900 |
Mar 29, 2024 | JP¥269.00 | JP¥273.00 | JP¥269.00 | JP¥272.00 | 1 204 200 |
Mar 28, 2024 | JP¥274.00 | JP¥274.00 | JP¥267.00 | JP¥268.00 | 2 290 800 |
Mar 27, 2024 | JP¥276.00 | JP¥277.00 | JP¥275.00 | JP¥276.00 | 2 157 200 |
Mar 26, 2024 | JP¥275.00 | JP¥277.00 | JP¥273.00 | JP¥275.00 | 1 426 300 |
Mar 25, 2024 | JP¥282.00 | JP¥282.00 | JP¥274.00 | JP¥274.00 | 2 429 000 |
Mar 22, 2024 | JP¥281.00 | JP¥283.00 | JP¥279.00 | JP¥283.00 | 1 483 800 |
Mar 21, 2024 | JP¥283.00 | JP¥285.00 | JP¥282.00 | JP¥283.00 | 1 252 400 |
Mar 19, 2024 | JP¥281.00 | JP¥281.00 | JP¥278.00 | JP¥280.00 | 854 300 |
Mar 18, 2024 | JP¥280.00 | JP¥281.00 | JP¥277.00 | JP¥280.00 | 978 800 |
Mar 15, 2024 | JP¥279.00 | JP¥281.00 | JP¥278.00 | JP¥278.00 | 882 600 |
Mar 14, 2024 | JP¥279.00 | JP¥279.00 | JP¥273.00 | JP¥277.00 | 3 002 000 |
Mar 13, 2024 | JP¥287.00 | JP¥288.00 | JP¥276.00 | JP¥277.00 | 2 159 500 |
Mar 12, 2024 | JP¥286.00 | JP¥286.00 | JP¥280.00 | JP¥283.00 | 2 871 400 |
Mar 11, 2024 | JP¥288.00 | JP¥289.00 | JP¥284.00 | JP¥287.00 | 1 551 700 |
Mar 08, 2024 | JP¥288.00 | JP¥290.00 | JP¥286.00 | JP¥289.00 | 2 142 300 |
Mar 07, 2024 | JP¥290.00 | JP¥291.00 | JP¥287.00 | JP¥288.00 | 1 458 600 |
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 2317.T stock historical prices to predict future price movements?
Trend Analysis: Examine the 2317.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 2317.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.