NYSE:OCN
Ocwen Financial Corporation Stock Price (Quote)
$25.17
-0.700 (-2.71%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $23.10 | $27.94 | Monday, 20th May 2024 OCN stock ended at $25.17. This is 2.71% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 3.08% from a day low at $25.10 to a day high of $25.87. |
90 days | $22.52 | $28.78 | |
52 weeks | $21.15 | $35.79 |
Date | Open | High | Low | Close | Volume |
May 03, 2016 | $2.25 | $2.26 | $2.00 | $2.09 | 3 947 747 |
May 02, 2016 | $2.25 | $2.26 | $2.10 | $2.18 | 3 868 253 |
Apr 29, 2016 | $2.26 | $2.37 | $2.18 | $2.26 | 3 009 890 |
Apr 28, 2016 | $2.25 | $2.48 | $2.08 | $2.22 | 9 500 298 |
Apr 27, 2016 | $2.82 | $2.92 | $2.77 | $2.84 | 2 904 477 |
Apr 26, 2016 | $2.77 | $2.80 | $2.64 | $2.80 | 2 005 790 |
Apr 25, 2016 | $2.62 | $2.76 | $2.56 | $2.76 | 3 192 100 |
Apr 22, 2016 | $2.54 | $2.61 | $2.52 | $2.60 | 3 915 312 |
Apr 21, 2016 | $2.50 | $2.57 | $2.49 | $2.53 | 3 426 010 |
Apr 20, 2016 | $2.48 | $2.55 | $2.48 | $2.51 | 1 548 065 |
Apr 19, 2016 | $2.49 | $2.51 | $2.35 | $2.47 | 2 004 013 |
Apr 18, 2016 | $2.45 | $2.54 | $2.41 | $2.46 | 1 829 404 |
Apr 15, 2016 | $2.46 | $2.52 | $2.46 | $2.52 | 1 055 980 |
Apr 14, 2016 | $2.50 | $2.54 | $2.47 | $2.48 | 1 556 008 |
Apr 13, 2016 | $2.49 | $2.56 | $2.47 | $2.50 | 2 091 902 |
Apr 12, 2016 | $2.47 | $2.55 | $2.44 | $2.49 | 1 368 149 |
Apr 11, 2016 | $2.44 | $2.53 | $2.43 | $2.46 | 1 392 569 |
Apr 08, 2016 | $2.47 | $2.52 | $2.38 | $2.41 | 1 561 076 |
Apr 07, 2016 | $2.34 | $2.53 | $2.34 | $2.45 | 2 088 430 |
Apr 06, 2016 | $2.36 | $2.39 | $2.32 | $2.37 | 1 197 586 |
Apr 05, 2016 | $2.34 | $2.43 | $2.32 | $2.35 | 1 216 699 |
Apr 04, 2016 | $2.45 | $2.49 | $2.34 | $2.37 | 1 518 151 |
Apr 01, 2016 | $2.47 | $2.48 | $2.43 | $2.45 | 1 115 916 |
Mar 31, 2016 | $2.40 | $2.48 | $2.39 | $2.47 | 1 950 362 |
Mar 30, 2016 | $2.48 | $2.51 | $2.39 | $2.42 | 1 109 732 |
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 OCN stock historical prices to predict future price movements?
Trend Analysis: Examine the OCN 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 OCN 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.