TYO:7888
SANKO GOSEI LTD. Stock Price (Quote)
JP¥704.00
+4.00 (+0.571%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥646.00 | JP¥723.00 | Friday, 17th May 2024 7888.T stock ended at JP¥704.00. This is 0.571% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.02% from a day low at JP¥692.00 to a day high of JP¥706.00. |
90 days | JP¥630.00 | JP¥784.00 | |
52 weeks | JP¥482.00 | JP¥784.00 |
Date | Open | High | Low | Close | Volume |
Jan 25, 2024 | JP¥648.00 | JP¥657.00 | JP¥644.00 | JP¥652.00 | 175 700 |
Jan 24, 2024 | JP¥654.00 | JP¥656.00 | JP¥640.00 | JP¥645.00 | 268 000 |
Jan 23, 2024 | JP¥668.00 | JP¥675.00 | JP¥652.00 | JP¥654.00 | 362 300 |
Jan 22, 2024 | JP¥658.00 | JP¥673.00 | JP¥652.00 | JP¥672.00 | 371 600 |
Jan 19, 2024 | JP¥657.00 | JP¥662.00 | JP¥649.00 | JP¥651.00 | 309 700 |
Jan 18, 2024 | JP¥652.00 | JP¥664.00 | JP¥651.00 | JP¥651.00 | 377 100 |
Jan 17, 2024 | JP¥678.00 | JP¥689.00 | JP¥655.00 | JP¥655.00 | 688 200 |
Jan 16, 2024 | JP¥675.00 | JP¥694.00 | JP¥670.00 | JP¥683.00 | 1 215 100 |
Jan 15, 2024 | JP¥649.00 | JP¥689.00 | JP¥645.00 | JP¥684.00 | 2 674 300 |
Jan 12, 2024 | JP¥616.00 | JP¥616.00 | JP¥600.00 | JP¥616.00 | 931 400 |
Jan 11, 2024 | JP¥519.00 | JP¥521.00 | JP¥516.00 | JP¥516.00 | 198 700 |
Jan 10, 2024 | JP¥513.00 | JP¥516.00 | JP¥511.00 | JP¥514.00 | 124 800 |
Jan 09, 2024 | JP¥508.00 | JP¥518.00 | JP¥506.00 | JP¥514.00 | 228 400 |
Jan 05, 2024 | JP¥515.00 | JP¥515.00 | JP¥502.00 | JP¥502.00 | 142 200 |
Jan 04, 2024 | JP¥495.00 | JP¥511.00 | JP¥488.00 | JP¥508.00 | 120 600 |
Dec 29, 2023 | JP¥496.00 | JP¥500.00 | JP¥492.00 | JP¥494.00 | 108 500 |
Dec 28, 2023 | JP¥493.00 | JP¥500.00 | JP¥490.00 | JP¥499.00 | 106 000 |
Dec 27, 2023 | JP¥483.00 | JP¥493.00 | JP¥483.00 | JP¥492.00 | 232 100 |
Dec 26, 2023 | JP¥485.00 | JP¥490.00 | JP¥482.00 | JP¥484.00 | 106 400 |
Dec 25, 2023 | JP¥493.00 | JP¥494.00 | JP¥483.00 | JP¥484.00 | 136 100 |
Dec 22, 2023 | JP¥494.00 | JP¥500.00 | JP¥487.00 | JP¥489.00 | 141 000 |
Dec 21, 2023 | JP¥497.00 | JP¥500.00 | JP¥495.00 | JP¥496.00 | 91 500 |
Dec 20, 2023 | JP¥505.00 | JP¥508.00 | JP¥503.00 | JP¥503.00 | 128 000 |
Dec 19, 2023 | JP¥504.00 | JP¥506.00 | JP¥497.00 | JP¥503.00 | 114 600 |
Dec 18, 2023 | JP¥496.00 | JP¥500.00 | JP¥493.00 | JP¥500.00 | 104 400 |
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 7888.T stock historical prices to predict future price movements?
Trend Analysis: Examine the 7888.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 7888.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.