TYO:3231
Nomura Real Estate Holdings,Inc. Stock Price (Quote)
JP¥3,851.00
+6.00 (+0.156%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥3,794.00 | JP¥4,594.00 | Thursday, 30th May 2024 3231.T stock ended at JP¥3,851.00. This is 0.156% more than the trading day before Wednesday, 29th May 2024. During the day the stock fluctuated 1.69% from a day low at JP¥3,794.00 to a day high of JP¥3,858.00. |
90 days | JP¥3,633.00 | JP¥4,594.00 | |
52 weeks | JP¥3,341.00 | JP¥4,594.00 |
Historical Nomura Real Estate Holdings,Inc. prices
Date | Open | High | Low | Close | Volume |
May 30, 2024 | JP¥3,811.00 | JP¥3,858.00 | JP¥3,794.00 | JP¥3,851.00 | 882 500 |
May 29, 2024 | JP¥3,874.00 | JP¥3,883.00 | JP¥3,838.00 | JP¥3,845.00 | 954 300 |
May 28, 2024 | JP¥3,870.00 | JP¥3,926.00 | JP¥3,850.00 | JP¥3,873.00 | 1 382 600 |
May 27, 2024 | JP¥3,876.00 | JP¥3,882.00 | JP¥3,835.00 | JP¥3,854.00 | 770 300 |
May 24, 2024 | JP¥3,880.00 | JP¥3,911.00 | JP¥3,842.00 | JP¥3,881.00 | 1 016 800 |
May 23, 2024 | JP¥3,999.00 | JP¥3,999.00 | JP¥3,892.00 | JP¥3,925.00 | 1 244 400 |
May 22, 2024 | JP¥4,100.00 | JP¥4,108.00 | JP¥3,989.00 | JP¥3,989.00 | 1 158 500 |
May 21, 2024 | JP¥4,202.00 | JP¥4,203.00 | JP¥4,114.00 | JP¥4,121.00 | 1 035 100 |
May 20, 2024 | JP¥4,182.00 | JP¥4,239.00 | JP¥4,182.00 | JP¥4,202.00 | 764 500 |
May 17, 2024 | JP¥4,201.00 | JP¥4,239.00 | JP¥4,172.00 | JP¥4,178.00 | 768 500 |
May 16, 2024 | JP¥4,260.00 | JP¥4,263.00 | JP¥4,207.00 | JP¥4,240.00 | 828 700 |
May 15, 2024 | JP¥4,357.00 | JP¥4,359.00 | JP¥4,265.00 | JP¥4,274.00 | 854 300 |
May 14, 2024 | JP¥4,366.00 | JP¥4,375.00 | JP¥4,318.00 | JP¥4,358.00 | 738 200 |
May 13, 2024 | JP¥4,455.00 | JP¥4,476.00 | JP¥4,370.00 | JP¥4,372.00 | 627 400 |
May 10, 2024 | JP¥4,540.00 | JP¥4,591.00 | JP¥4,500.00 | JP¥4,525.00 | 683 700 |
May 09, 2024 | JP¥4,415.00 | JP¥4,521.00 | JP¥4,410.00 | JP¥4,475.00 | 820 600 |
May 08, 2024 | JP¥4,501.00 | JP¥4,539.00 | JP¥4,417.00 | JP¥4,428.00 | 763 900 |
May 07, 2024 | JP¥4,541.00 | JP¥4,594.00 | JP¥4,472.00 | JP¥4,501.00 | 960 800 |
May 02, 2024 | JP¥4,445.00 | JP¥4,524.00 | JP¥4,443.00 | JP¥4,474.00 | 997 800 |
May 01, 2024 | JP¥4,437.00 | JP¥4,510.00 | JP¥4,413.00 | JP¥4,454.00 | 1 223 800 |
Apr 30, 2024 | JP¥4,545.00 | JP¥4,557.00 | JP¥4,403.00 | JP¥4,433.00 | 1 257 800 |
Apr 26, 2024 | JP¥4,285.00 | JP¥4,461.00 | JP¥4,285.00 | JP¥4,426.00 | 1 711 100 |
Apr 25, 2024 | JP¥4,198.00 | JP¥4,237.00 | JP¥4,118.00 | JP¥4,128.00 | 970 700 |
Apr 24, 2024 | JP¥4,193.00 | JP¥4,223.00 | JP¥4,172.00 | JP¥4,199.00 | 708 500 |
Apr 23, 2024 | JP¥4,215.00 | JP¥4,240.00 | JP¥4,169.00 | JP¥4,194.00 | 913 200 |
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 3231.T stock historical prices to predict future price movements?
Trend Analysis: Examine the 3231.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 3231.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.