Automotive Properties Real Stock Technical Analysis
| APR-UN Stock | CAD 11.43 -0.22 -1.89% |
As of the 20th of March, Automotive Properties prints 11.43 per share on the tape. Available indicator data includes Downside Deviation of 0.8762, mean deviation of 0.4884, and Risk Adjusted Performance of 0.1202. Market dynamics are evaluated through structured indicator analysis. Indicator dispersion is evaluated across similar market participants.
Automotive Properties Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Automotive, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AutomotiveAutomotive |
What if' Analysis
What-if analysis for Automotive Properties Real is essentially a historical sensitivity test that shows how changes in the investment horizon could have altered realized return, drawdown, and timing outcomes. The stronger interpretation comes from comparing realized return, risk, and path dependency instead of focusing only on the best historical outcome.
| 12/20/2025 |
| 03/20/2026 |
A 0.00 position in Automotive Properties initiated on December 20, 2025 and held to today would gain 0.00 in total return. The change equals a 0.0% return on investment in Automotive Properties for the period over a 90 day window. Figures are sourced from market data feeds and exchange records. Peers such as Nexus Real, Minto Apartment, Wells Fargo, Plaza Retail, Artis Real, Morguard North, and Pro Real operate in a similar space as Automotive Properties. Competitive context is drawn from the peer group. Automotive Properties REIT is an unincorporated, open-ended real estate investment trust focused on owning and acquiring... More
Automotive Properties Upside and Downside Indicators Snapshot
Momentum range indicators for Automotive Properties reflect the balance between upside and downside price pressure. The readings reflect recent momentum relative to observed price ranges. Market-based inputs including price and volume form the foundation of this dataset. This overview is based on available data and does not express a directional view.
| Downside Deviation | 0.8762 | |||
| Information Ratio | 0.2533 | |||
| Maximum Drawdown | 4.48 | |||
| Value At Risk | -1.06 | |||
| Potential Upside | 1.3 |
Volatility and Risk Indicators for Automotive Properties Signals
Historical risk measures for Automotive Properties describe how the price has varied across observation periods. The measures describe how returns have dispersed relative to historical norms. The dataset is based on available price and volume observations.| Risk Adjusted Performance | 0.1202 | |||
| Jensen Alpha | 0.1125 | |||
| Total Risk Alpha | 0.182 | |||
| Sortino Ratio | 0.2142 | |||
| Treynor Ratio | 0.8946 |
Experienced Automotive Properties' investors use mean reversion as a complement to momentum analysis: momentum identifies the trend; mean reversion identifies when that trend has extended beyond sustainable levels.
Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1202 | |||
| Market Risk Adjusted Performance | 0.9046 | |||
| Mean Deviation | 0.4884 | |||
| Semi Deviation | 0.5292 | |||
| Downside Deviation | 0.8762 | |||
| Coefficient Of Variation | 657.5 | |||
| Standard Deviation | 0.741 | |||
| Variance | 0.5491 | |||
| Information Ratio | 0.2533 | |||
| Jensen Alpha | 0.1125 | |||
| Total Risk Alpha | 0.182 | |||
| Sortino Ratio | 0.2142 | |||
| Treynor Ratio | 0.8946 | |||
| Maximum Drawdown | 4.48 | |||
| Value At Risk | -1.06 | |||
| Potential Upside | 1.3 | |||
| Downside Variance | 0.7678 | |||
| Semi Variance | 0.2801 | |||
| Expected Short fall | -0.57 | |||
| Skewness | 0.373 | |||
| Kurtosis | 3.35 |
Automotive Properties Backtested Returns
Automotive Properties holds a very low volatility profile within the selected horizon. It shows a risk-adjusted return measure of 0.12, signaling dispersion-adjusted returns across 3 months. Quantitative evaluation found twenty-nine metrics shaping volatility behavior. Please examine metrics such as Downside Deviation of 0.8762, mean deviation of 0.4884, and risk-adjusted performance of 0.1202 to confirm risk-return consistency. Automotive Properties has a performance score of 9 on a scale of 0 to 100. The company has a beta of 0.11, which indicates relatively modest fluctuations relative to the market. With a sub-1 beta, Automotive Properties participates in market rallies at a reduced pace while also limiting downside exposure. Automotive Properties currently has a risk of 0.74%. Please check Automotive Properties Real semi variance, and the relationship between the maximum drawdown and accumulation distribution.
Auto-correlation | 0.70 |
Good predictability
Serial correlation analysis for Automotive Properties Real reveals good predictability across the intervals from 20th of December 2025 to 3rd of February 2026 and from 3rd of February 2026 to 20th of March 2026. The degree of alignment between past and current intervals shapes expectations about Automotive Properties's price persistence. At 0.7, around 70.0% of current Automotive Properties price movement aligns with historical price trajectory.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
This analysis reflects how Automotive Properties behaves based on price and volume data. The dataset includes signals based on trend and relative strength.
Technical Analysis
This analysis covers thirty-seven data points across the selected time horizon. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Automotive Properties volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Automotive Properties evaluates price structure, momentum, and volatility clustering. Momentum regimes can shift quickly when liquidity conditions change. Automotive Properties has a market cap of 629.71 M, P/E of 31.48, ROE of 6.44%.
Macroaxis compiles Automotive Properties Real metrics from periodic company reporting and market reference feeds and applies consistent transformation rules before display. Not all fields update in real time.
This content is curated and reviewed by:
Michael Smolkin - Member of Macroaxis Board of DirectorsAutomotive Properties Technical Indicators
Technical analysis of Automotive Properties Real is useful because it frames whether the current trend still looks durable or is beginning to weaken. Used correctly, technical indicators support timing and risk control but should still be validated against broader market and business context.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1202 | |||
| Market Risk Adjusted Performance | 0.9046 | |||
| Mean Deviation | 0.4884 | |||
| Semi Deviation | 0.5292 | |||
| Downside Deviation | 0.8762 | |||
| Coefficient Of Variation | 657.5 | |||
| Standard Deviation | 0.741 | |||
| Variance | 0.5491 | |||
| Information Ratio | 0.2533 | |||
| Jensen Alpha | 0.1125 | |||
| Total Risk Alpha | 0.182 | |||
| Sortino Ratio | 0.2142 | |||
| Treynor Ratio | 0.8946 | |||
| Maximum Drawdown | 4.48 | |||
| Value At Risk | -1.06 | |||
| Potential Upside | 1.3 | |||
| Downside Variance | 0.7678 | |||
| Semi Variance | 0.2801 | |||
| Expected Short fall | -0.57 | |||
| Skewness | 0.373 | |||
| Kurtosis | 3.35 |
March 20, 2026 Daily Trend Indicators
Technical analysis of Automotive Properties Real is useful because it frames whether the current trend still looks durable or is beginning to weaken. Used correctly, technical indicators support timing and risk control but should still be validated against broader market and business context.
| Accumulation Distribution | 981.27 | ||
| Daily Balance Of Power | -0.79 | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 11.55 | ||
| Day Typical Price | 11.51 | ||
| Price Action Indicator | -0.23 |
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