Automotive Properties Real Stock Price History
| APR-UN Stock | CAD 11.44 0.05 0.44% |
Below is the normalized historical share price chart for Automotive Properties Real extending back to July 22, 2015. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Automotive Properties stands at 11.44, as last reported on the 1st of December, with the highest price reaching 11.52 and the lowest price hitting 11.34 during the day.
If you're considering investing in Automotive Stock, it is important to understand the factors that can impact its price. At this point, Automotive Properties is very steady. Automotive Properties secures Sharpe Ratio (or Efficiency) of 0.0337, which signifies that the company had a 0.0337% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Automotive Properties Real, which you can use to evaluate the volatility of the firm. Please confirm Automotive Properties' Mean Deviation of 0.9256, risk adjusted performance of 0.0357, and Downside Deviation of 1.21 to double-check if the risk estimate we provide is consistent with the expected return of 0.0401%.
At present, Automotive Properties' Stock Based Compensation is projected to increase significantly based on the last few years of reporting. The current year's Issuance Of Capital Stock is expected to grow to about 113.5 M, whereas Common Stock Shares Outstanding is forecasted to decline to about 28.8 M. . The current year's Price Earnings Ratio is expected to grow to 14.02, whereas Price To Sales Ratio is forecasted to decline to 5.43. Automotive Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
200 Day MA 10.8157 | 50 Day MA 12.1796 | Beta 0.921 |
Automotive |
Sharpe Ratio = 0.0337
| Best Portfolio | Best Equity | |||
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | APR-UN |
Estimated Market Risk
| 1.19 actual daily | 10 90% of assets are more volatile |
Expected Return
| 0.04 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| 0.03 actual daily | 2 98% of assets perform better |
Based on monthly moving average Automotive Properties is performing at about 2% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Automotive Properties by adding it to a well-diversified portfolio.
Price Book 0.8442 | Enterprise Value Ebitda 15.5056 | Price Sales 6.0263 | Shares Float 32.9 M | Wall Street Target Price 13.2778 |
Automotive Properties Stock Price History Chart
There are several ways to analyze Automotive Stock price data. The simplest method is using a basic Automotive candlestick price chart, which shows Automotive Properties price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
| Highest Price | October 22, 2024 | 12.73 |
| Lowest Price | November 26, 2024 | 11.34 |
Automotive Properties December 1, 2024 Stock Price Synopsis
Various analyses of Automotive Properties' daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Automotive Stock. It can be used to describe the percentage change in the price of Automotive Properties from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Automotive Stock.| Automotive Properties Price Rate Of Daily Change | 1.00 | |
| Automotive Properties Price Action Indicator | (0.02) | |
| Automotive Properties Price Daily Balance Of Power | (0.28) |
Automotive Properties December 1, 2024 Stock Price Analysis
Automotive Stock Price History Data
The price series of Automotive Properties for the period between Mon, Sep 2, 2024 and Sun, Dec 1, 2024 has a statistical range of 1.61 with a coefficient of variation of 3.41. The prices are distributed with arithmetic mean of 12.08. The median price for the last 90 days is 12.18. The company issued dividends on 2024-10-31.| Open | High | Low | Close | Volume | ||
12/01/2024 | 11.42 | 11.52 | 11.34 | 11.44 | ||
| 11/29/2024 | 11.42 | 11.52 | 11.34 | 11.44 | 13,638 | |
| 11/28/2024 | 11.48 | 11.50 | 11.44 | 11.49 | 10,397 | |
| 11/27/2024 | 11.32 | 11.42 | 11.32 | 11.34 | 6,000 | |
| 11/26/2024 | 11.50 | 11.54 | 11.30 | 11.34 | 73,647 | |
| 11/25/2024 | 11.53 | 11.72 | 11.53 | 11.61 | 19,769 | |
| 11/22/2024 | 11.44 | 11.57 | 11.40 | 11.54 | 22,402 | |
| 11/21/2024 | 11.50 | 11.63 | 11.44 | 11.46 | 26,978 | |
| 11/20/2024 | 11.63 | 11.64 | 11.47 | 11.55 | 19,492 | |
| 11/19/2024 | 11.82 | 11.89 | 11.61 | 11.65 | 47,576 | |
| 11/18/2024 | 12.09 | 12.16 | 11.90 | 11.94 | 31,040 | |
| 11/15/2024 | 12.37 | 12.37 | 12.12 | 12.15 | 22,036 | |
| 11/14/2024 | 12.19 | 12.36 | 12.15 | 12.32 | 19,166 | |
| 11/13/2024 | 12.15 | 12.19 | 12.07 | 12.15 | 8,697 | |
| 11/12/2024 | 12.05 | 12.20 | 12.05 | 12.16 | 13,300 | |
| 11/11/2024 | 12.04 | 12.10 | 11.88 | 12.10 | 18,506 | |
| 11/08/2024 | 11.96 | 12.08 | 11.96 | 12.06 | 6,997 | |
| 11/07/2024 | 11.85 | 12.11 | 11.85 | 12.03 | 25,516 | |
| 11/06/2024 | 12.05 | 12.05 | 11.74 | 11.88 | 16,626 | |
| 11/05/2024 | 12.05 | 12.10 | 11.99 | 12.03 | 14,930 | |
| 11/04/2024 | 12.25 | 12.35 | 12.03 | 12.08 | 32,655 | |
| 11/01/2024 | 11.91 | 12.31 | 11.91 | 12.25 | 31,983 | |
| 10/31/2024 | 12.23 | 12.23 | 11.98 | 12.06 | 21,382 | |
| 10/30/2024 | 12.22 | 12.22 | 12.04 | 12.15 | 11,700 | |
| 10/29/2024 | 12.15 | 12.22 | 11.99 | 12.22 | 23,400 | |
| 10/28/2024 | 12.27 | 12.29 | 12.16 | 12.19 | 18,900 | |
| 10/25/2024 | 12.50 | 12.50 | 12.35 | 12.38 | 14,371 | |
| 10/24/2024 | 12.65 | 12.65 | 12.43 | 12.58 | 11,885 | |
| 10/23/2024 | 12.63 | 12.78 | 12.63 | 12.67 | 22,091 | |
| 10/22/2024 | 12.42 | 12.73 | 12.42 | 12.73 | 13,567 | |
| 10/21/2024 | 12.68 | 12.68 | 12.46 | 12.60 | 30,560 | |
| 10/18/2024 | 12.67 | 12.72 | 12.63 | 12.68 | 13,129 | |
| 10/17/2024 | 12.74 | 12.74 | 12.57 | 12.67 | 19,971 | |
| 10/16/2024 | 12.65 | 12.71 | 12.61 | 12.64 | 19,898 | |
| 10/15/2024 | 12.51 | 12.63 | 12.45 | 12.59 | 44,484 | |
| 10/11/2024 | 12.37 | 12.45 | 12.32 | 12.44 | 21,813 | |
| 10/10/2024 | 12.35 | 12.37 | 12.21 | 12.32 | 21,000 | |
| 10/09/2024 | 12.34 | 12.49 | 12.32 | 12.32 | 12,776 | |
| 10/08/2024 | 12.32 | 12.33 | 12.20 | 12.31 | 11,912 | |
| 10/07/2024 | 12.11 | 12.28 | 12.09 | 12.27 | 23,647 | |
| 10/04/2024 | 12.29 | 12.31 | 12.17 | 12.18 | 25,636 | |
| 10/03/2024 | 12.42 | 12.42 | 12.29 | 12.29 | 23,014 | |
| 10/02/2024 | 12.33 | 12.48 | 12.31 | 12.38 | 28,822 | |
| 10/01/2024 | 12.30 | 12.46 | 12.30 | 12.35 | 25,057 | |
| 09/30/2024 | 12.34 | 12.41 | 12.28 | 12.38 | 22,491 | |
| 09/27/2024 | 12.37 | 12.37 | 12.24 | 12.28 | 14,798 | |
| 09/26/2024 | 12.39 | 12.48 | 12.25 | 12.29 | 33,400 | |
| 09/25/2024 | 12.25 | 12.43 | 12.22 | 12.43 | 30,200 | |
| 09/24/2024 | 12.23 | 12.33 | 12.19 | 12.25 | 13,600 | |
| 09/23/2024 | 12.15 | 12.21 | 12.15 | 12.18 | 10,400 | |
| 09/20/2024 | 12.10 | 12.21 | 12.10 | 12.21 | 24,700 | |
| 09/19/2024 | 11.94 | 12.18 | 11.93 | 12.18 | 28,300 | |
| 09/18/2024 | 12.14 | 12.14 | 11.86 | 11.93 | 47,500 | |
| 09/17/2024 | 12.41 | 12.44 | 11.96 | 12.04 | 42,100 | |
| 09/16/2024 | 12.43 | 12.43 | 12.30 | 12.41 | 26,600 | |
| 09/13/2024 | 12.41 | 12.52 | 12.37 | 12.49 | 41,800 | |
| 09/12/2024 | 12.22 | 12.42 | 12.19 | 12.42 | 88,400 | |
| 09/11/2024 | 11.93 | 12.22 | 11.93 | 12.15 | 36,300 | |
| 09/10/2024 | 11.96 | 12.08 | 11.94 | 11.94 | 30,200 | |
| 09/09/2024 | 11.70 | 12.06 | 11.70 | 12.01 | 84,100 | |
| 09/06/2024 | 11.66 | 11.76 | 11.64 | 11.72 | 23,400 |
About Automotive Properties Stock history
Automotive Properties investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Automotive is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Automotive Properties will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Automotive Properties stock prices may prove useful in developing a viable investing in Automotive Properties
| Last Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 50 M | 28.8 M | |
| Net Income Applicable To Common Shares | 95.9 M | 100.7 M |
Automotive Properties Stock Technical Analysis
Automotive Properties technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
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Automotive Properties Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Automotive Properties' price direction in advance. Along with the technical and fundamental analysis of Automotive Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Automotive to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.0357 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.16) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.1186 |
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| Math Transform | ||
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| Pattern Recognition | ||
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| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Complementary Tools for Automotive Stock analysis
When running Automotive Properties' price analysis, check to measure Automotive Properties' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Automotive Properties is operating at the current time. Most of Automotive Properties' value examination focuses on studying past and present price action to predict the probability of Automotive Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Automotive Properties' price. Additionally, you may evaluate how the addition of Automotive Properties to your portfolios can decrease your overall portfolio volatility.
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