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 |
Dec 19, 2023 | JP¥304.00 | JP¥308.00 | JP¥303.00 | JP¥308.00 | 2 062 300 |
Dec 18, 2023 | JP¥299.00 | JP¥303.00 | JP¥297.00 | JP¥303.00 | 1 636 600 |
Dec 15, 2023 | JP¥298.00 | JP¥303.00 | JP¥298.00 | JP¥301.00 | 1 873 500 |
Dec 14, 2023 | JP¥300.00 | JP¥304.00 | JP¥296.00 | JP¥297.00 | 1 817 500 |
Dec 13, 2023 | JP¥297.00 | JP¥299.00 | JP¥296.00 | JP¥296.00 | 1 182 300 |
Dec 12, 2023 | JP¥298.00 | JP¥300.00 | JP¥294.00 | JP¥297.00 | 2 222 500 |
Dec 11, 2023 | JP¥293.00 | JP¥300.00 | JP¥292.00 | JP¥297.00 | 1 951 800 |
Dec 08, 2023 | JP¥290.00 | JP¥293.00 | JP¥287.00 | JP¥289.00 | 1 756 700 |
Dec 07, 2023 | JP¥298.00 | JP¥298.00 | JP¥291.00 | JP¥291.00 | 1 530 000 |
Dec 06, 2023 | JP¥291.00 | JP¥297.00 | JP¥290.00 | JP¥296.00 | 1 736 100 |
Dec 05, 2023 | JP¥292.00 | JP¥296.00 | JP¥287.00 | JP¥287.00 | 1 798 800 |
Dec 04, 2023 | JP¥293.00 | JP¥295.00 | JP¥289.00 | JP¥294.00 | 2 096 600 |
Dec 01, 2023 | JP¥292.00 | JP¥299.00 | JP¥291.00 | JP¥297.00 | 1 644 600 |
Nov 30, 2023 | JP¥302.00 | JP¥303.00 | JP¥294.00 | JP¥296.00 | 2 682 400 |
Nov 29, 2023 | JP¥300.00 | JP¥306.00 | JP¥298.00 | JP¥301.00 | 2 670 300 |
Nov 28, 2023 | JP¥300.00 | JP¥304.00 | JP¥297.00 | JP¥300.00 | 4 792 200 |
Nov 27, 2023 | JP¥300.00 | JP¥308.00 | JP¥295.00 | JP¥305.00 | 8 859 400 |
Nov 24, 2023 | JP¥278.00 | JP¥282.00 | JP¥276.00 | JP¥280.00 | 1 511 600 |
Nov 22, 2023 | JP¥272.00 | JP¥276.00 | JP¥271.00 | JP¥274.00 | 1 263 300 |
Nov 21, 2023 | JP¥266.00 | JP¥274.00 | JP¥266.00 | JP¥272.00 | 1 902 400 |
Nov 20, 2023 | JP¥265.00 | JP¥269.00 | JP¥265.00 | JP¥265.00 | 1 515 800 |
Nov 17, 2023 | JP¥260.00 | JP¥265.00 | JP¥259.00 | JP¥264.00 | 1 252 900 |
Nov 16, 2023 | JP¥264.00 | JP¥270.00 | JP¥262.00 | JP¥263.00 | 1 589 200 |
Nov 15, 2023 | JP¥261.00 | JP¥265.00 | JP¥258.00 | JP¥263.00 | 2 192 600 |
Nov 14, 2023 | JP¥259.00 | JP¥260.00 | JP¥256.00 | JP¥257.00 | 852 000 |
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.