$2.02
+0.0100 (+0.498%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $1.98 | $2.07 | Tuesday, 23rd Jun 2026 ELME stock ended at $2.02. This is 0.498% more than the trading day before Monday, 22nd Jun 2026. During the day the stock fluctuated 1.49% from a day low at $2.01 to a day high of $2.04. |
| 90 days | $1.98 | $2.20 | |
| 52 weeks | $1.98 | $17.68 |
Historical Elme Communities prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | $2.03 | $2.04 | $2.01 | $2.02 | 689 464 |
| Jun 22, 2026 | $2.01 | $2.02 | $2.01 | $2.01 | 412 387 |
| Jun 18, 2026 | $2.02 | $2.03 | $2.01 | $2.01 | 859 543 |
| Jun 17, 2026 | $2.02 | $2.04 | $2.01 | $2.01 | 954 331 |
| Jun 16, 2026 | $2.04 | $2.05 | $2.02 | $2.02 | 550 584 |
| Jun 15, 2026 | $2.06 | $2.06 | $2.02 | $2.02 | 1 145 960 |
| Jun 12, 2026 | $2.05 | $2.06 | $2.03 | $2.03 | 877 478 |
| Jun 11, 2026 | $2.03 | $2.05 | $2.02 | $2.04 | 1 350 904 |
| Jun 10, 2026 | $2.05 | $2.05 | $2.03 | $2.04 | 622 634 |
| Jun 09, 2026 | $2.03 | $2.05 | $2.03 | $2.04 | 471 759 |
| Jun 08, 2026 | $2.04 | $2.05 | $2.03 | $2.04 | 546 738 |
| Jun 05, 2026 | $2.05 | $2.06 | $2.03 | $2.03 | 600 844 |
| Jun 04, 2026 | $2.03 | $2.07 | $2.03 | $2.05 | 820 921 |
| Jun 03, 2026 | $2.04 | $2.05 | $2.02 | $2.02 | 1 169 408 |
| Jun 02, 2026 | $2.04 | $2.06 | $2.03 | $2.04 | 1 558 300 |
| Jun 01, 2026 | $2.04 | $2.06 | $2.03 | $2.05 | 952 164 |
| May 29, 2026 | $2.03 | $2.07 | $2.02 | $2.05 | 2 063 573 |
| May 28, 2026 | $2.01 | $2.02 | $2.00 | $2.01 | 628 725 |
| May 27, 2026 | $2.01 | $2.02 | $1.98 | $2.00 | 1 737 333 |
| May 26, 2026 | $2.03 | $2.03 | $2.00 | $2.00 | 387 048 |
| May 22, 2026 | $2.01 | $2.04 | $2.01 | $2.03 | 473 801 |
| May 21, 2026 | $2.02 | $2.03 | $2.01 | $2.02 | 405 816 |
| May 20, 2026 | $2.02 | $2.02 | $2.01 | $2.02 | 558 751 |
| May 19, 2026 | $2.01 | $2.03 | $2.00 | $2.00 | 999 748 |
| May 18, 2026 | $2.02 | $2.03 | $2.00 | $2.01 | 958 369 |
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 ELME stock historical prices to predict future price movements?
Trend Analysis: Examine the ELME 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 ELME 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.
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