NYSE:WAC
Delisted
Walter Investment Management Corp Fund Price (Quote)
$0.600
+0 (+0%)
At Close: Feb 22, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.554 | $0.85 | Thursday, 22nd Feb 2018 WAC stock ended at $0.600. During the day the stock fluctuated 0% from a day low at $0.600 to a day high of $0.600. |
90 days | $0.310 | $1.06 | |
52 weeks | $0.302 | $3.70 |
Historical Walter Investment Management Corp prices
Date | Open | High | Low | Close | Volume |
Dec 12, 2016 | $7.40 | $7.75 | $7.20 | $7.30 | 559 930 |
Dec 09, 2016 | $7.35 | $7.55 | $6.95 | $7.35 | 401 003 |
Dec 08, 2016 | $6.30 | $8.11 | $6.30 | $7.10 | 1 480 890 |
Dec 07, 2016 | $6.20 | $6.45 | $6.15 | $6.35 | 354 772 |
Dec 06, 2016 | $6.30 | $6.55 | $6.20 | $6.25 | 176 181 |
Dec 05, 2016 | $6.35 | $6.55 | $6.15 | $6.35 | 354 606 |
Dec 02, 2016 | $5.75 | $6.25 | $5.65 | $6.20 | 218 876 |
Dec 01, 2016 | $5.75 | $5.90 | $5.65 | $5.80 | 214 950 |
Nov 30, 2016 | $5.55 | $5.80 | $5.50 | $5.70 | 272 847 |
Nov 29, 2016 | $5.80 | $5.90 | $5.40 | $5.50 | 186 727 |
Nov 28, 2016 | $5.95 | $6.10 | $5.65 | $5.80 | 177 318 |
Nov 25, 2016 | $6.00 | $6.20 | $5.90 | $6.00 | 102 757 |
Nov 23, 2016 | $5.95 | $6.20 | $5.85 | $6.00 | 211 640 |
Nov 22, 2016 | $5.90 | $6.45 | $5.82 | $6.00 | 377 199 |
Nov 21, 2016 | $5.85 | $6.00 | $5.80 | $5.95 | 252 769 |
Nov 18, 2016 | $5.60 | $5.80 | $5.50 | $5.80 | 142 422 |
Nov 17, 2016 | $5.60 | $5.85 | $5.45 | $5.65 | 305 142 |
Nov 16, 2016 | $5.35 | $5.88 | $5.30 | $5.60 | 252 334 |
Nov 15, 2016 | $5.20 | $5.50 | $4.90 | $5.35 | 275 747 |
Nov 14, 2016 | $5.15 | $5.40 | $4.75 | $5.25 | 312 549 |
Nov 11, 2016 | $5.80 | $5.95 | $5.18 | $5.25 | 497 654 |
Nov 10, 2016 | $4.60 | $6.05 | $4.55 | $5.80 | 626 432 |
Nov 09, 2016 | $3.90 | $4.75 | $3.80 | $4.65 | 446 739 |
Nov 08, 2016 | $5.15 | $5.20 | $4.85 | $4.85 | 483 351 |
Nov 07, 2016 | $5.25 | $5.35 | $5.05 | $5.30 | 263 600 |
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 WAC stock historical prices to predict future price movements?
Trend Analysis: Examine the WAC 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 WAC 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.