BATS:OMFL
Oppenheimer Russell 1000 Dynamic ETF Price (Quote)
$54.14
+0.720 (+1.35%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $51.61 | $54.91 | Friday, 31st May 2024 OMFL stock ended at $54.14. This is 1.35% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.46% from a day low at $53.36 to a day high of $54.14. |
90 days | $51.07 | $55.32 | |
52 weeks | $43.09 | $55.32 |
Historical Oppenheimer Russell 1000 Dynamic Multifactor ETF prices
Date | Open | High | Low | Close | Volume |
Apr 25, 2024 | $52.16 | $52.38 | $51.72 | $52.30 | 436 255 |
Apr 24, 2024 | $52.48 | $52.70 | $52.24 | $52.58 | 358 288 |
Apr 23, 2024 | $52.05 | $52.68 | $51.95 | $52.52 | 257 582 |
Apr 22, 2024 | $51.76 | $52.33 | $51.47 | $52.02 | 277 068 |
Apr 19, 2024 | $51.16 | $51.74 | $51.11 | $51.60 | 282 406 |
Apr 18, 2024 | $51.44 | $51.77 | $51.12 | $51.26 | 744 516 |
Apr 17, 2024 | $51.76 | $51.89 | $51.13 | $51.23 | 484 054 |
Apr 16, 2024 | $51.66 | $51.66 | $51.07 | $51.42 | 334 334 |
Apr 15, 2024 | $52.73 | $52.97 | $51.57 | $51.77 | 629 692 |
Apr 12, 2024 | $52.95 | $52.99 | $52.14 | $52.26 | 307 019 |
Apr 11, 2024 | $53.37 | $53.37 | $52.77 | $53.11 | 403 648 |
Apr 10, 2024 | $53.57 | $53.77 | $53.04 | $53.22 | 466 756 |
Apr 09, 2024 | $54.48 | $54.58 | $53.93 | $54.37 | 282 407 |
Apr 08, 2024 | $54.29 | $54.51 | $54.22 | $54.33 | 318 973 |
Apr 05, 2024 | $53.83 | $54.21 | $53.74 | $54.09 | 374 306 |
Apr 04, 2024 | $54.79 | $54.96 | $53.68 | $53.81 | 274 162 |
Apr 03, 2024 | $54.12 | $54.46 | $54.12 | $54.40 | 365 138 |
Apr 02, 2024 | $54.46 | $54.47 | $53.98 | $54.19 | 253 863 |
Apr 01, 2024 | $55.30 | $55.31 | $54.85 | $54.89 | 435 455 |
Mar 28, 2024 | $55.01 | $55.32 | $55.01 | $55.23 | 346 550 |
Mar 27, 2024 | $54.17 | $54.92 | $54.17 | $54.92 | 431 987 |
Mar 26, 2024 | $54.11 | $54.27 | $53.90 | $53.90 | 402 938 |
Mar 25, 2024 | $53.86 | $54.21 | $53.86 | $53.98 | 422 786 |
Mar 22, 2024 | $54.34 | $54.45 | $53.86 | $53.87 | 438 135 |
Mar 21, 2024 | $53.96 | $54.40 | $53.96 | $54.33 | 453 819 |
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 OMFL stock historical prices to predict future price movements?
Trend Analysis: Examine the OMFL 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 OMFL 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.