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 |
Date | Open | High | Low | Close | Volume |
Mar 31, 2017 | $0.92 | $1.09 | $0.90 | $1.08 | 1 022 102 |
Mar 30, 2017 | $1.00 | $1.00 | $0.92 | $0.93 | 424 301 |
Mar 29, 2017 | $1.03 | $1.03 | $0.90 | $0.99 | 1 147 137 |
Mar 28, 2017 | $0.89 | $1.07 | $0.89 | $1.01 | 1 929 845 |
Mar 27, 2017 | $0.780 | $1.00 | $0.740 | $0.88 | 2 204 943 |
Mar 24, 2017 | $0.700 | $0.83 | $0.640 | $0.730 | 1 146 322 |
Mar 23, 2017 | $0.82 | $0.84 | $0.700 | $0.704 | 2 250 348 |
Mar 22, 2017 | $0.95 | $0.95 | $0.80 | $0.82 | 1 793 423 |
Mar 21, 2017 | $1.10 | $1.10 | $0.90 | $0.95 | 2 129 177 |
Mar 20, 2017 | $1.10 | $1.10 | $1.00 | $1.10 | 3 013 209 |
Mar 17, 2017 | $1.25 | $1.25 | $1.00 | $1.10 | 1 493 559 |
Mar 16, 2017 | $1.50 | $1.50 | $0.85 | $1.20 | 3 380 544 |
Mar 15, 2017 | $1.60 | $1.65 | $1.50 | $1.55 | 1 329 429 |
Mar 14, 2017 | $2.45 | $2.50 | $1.50 | $1.65 | 3 616 447 |
Mar 13, 2017 | $2.80 | $2.90 | $2.65 | $2.70 | 635 391 |
Mar 10, 2017 | $2.85 | $2.95 | $2.80 | $2.80 | 310 626 |
Mar 09, 2017 | $3.05 | $3.10 | $2.85 | $2.85 | 439 022 |
Mar 08, 2017 | $3.25 | $3.30 | $3.05 | $3.05 | 279 223 |
Mar 07, 2017 | $3.25 | $3.30 | $3.15 | $3.30 | 188 982 |
Mar 06, 2017 | $3.25 | $3.35 | $3.20 | $3.20 | 222 303 |
Mar 03, 2017 | $3.30 | $3.40 | $3.25 | $3.30 | 130 127 |
Mar 02, 2017 | $3.30 | $3.55 | $3.25 | $3.40 | 445 853 |
Mar 01, 2017 | $3.45 | $3.45 | $3.25 | $3.30 | 328 232 |
Feb 28, 2017 | $3.45 | $3.53 | $3.40 | $3.40 | 147 475 |
Feb 27, 2017 | $3.50 | $3.55 | $3.26 | $3.50 | 238 617 |
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.