Automotive Properties Stock Forward View - Accumulation Distribution
| APR-UN Stock | CAD 11.26 0.12 1.05% |
Automotive Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Automotive Properties stock prices and determine the direction of Automotive Properties Real's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of Automotive Properties' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of today the relative strength index (rsi) of Automotive Properties' share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 4.07 | EPS Estimate Current Year 0.62 | EPS Estimate Next Year 1.02 | Wall Street Target Price 12.6818 | Quarterly Revenue Growth 0.079 |
Using Automotive Properties hype-based prediction, you can estimate the value of Automotive Properties Real from the perspective of Automotive Properties response to recently generated media hype and the effects of current headlines on its competitors.
Automotive Properties after-hype prediction price | CAD 11.26 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Automotive |
Automotive Properties Additional Predictive Modules
Most predictive techniques to examine Automotive price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Automotive using various technical indicators. When you analyze Automotive charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Previous Accumulation Distribution | Accumulation Distribution | Trend |
| 1433.03 | 596.05 |
| Check Automotive Properties Volatility | Backtest Automotive Properties | Information Ratio |
Automotive Properties Trading Date Momentum
| On February 11 2026 Automotive Properties Real was traded for 11.26 at the closing time. The highest price during the trading period was 11.38 and the lowest recorded bid was listed for 11.18 . The volume for the day was 33.9 K. This history from February 11, 2026 did not affect price variability. The overall trading delta to the current price is 1.07% . |
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
| Compare Automotive Properties to competition |
Other Forecasting Options for Automotive Properties
For every potential investor in Automotive, whether a beginner or expert, Automotive Properties' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Automotive Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Automotive. Basic forecasting techniques help filter out the noise by identifying Automotive Properties' price trends.Automotive Properties Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Automotive Properties stock to make a market-neutral strategy. Peer analysis of Automotive Properties could also be used in its relative valuation, which is a method of valuing Automotive Properties by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Automotive Properties Market Strength Events
Market strength indicators help investors to evaluate how Automotive Properties stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Automotive Properties shares will generate the highest return on investment. By undertsting and applying Automotive Properties stock market strength indicators, traders can identify Automotive Properties Real entry and exit signals to maximize returns.
| Accumulation Distribution | 596.05 | |||
| Daily Balance Of Power | (0.60) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 11.28 | |||
| Day Typical Price | 11.27 | |||
| Price Action Indicator | (0.08) | |||
| Period Momentum Indicator | (0.12) |
Automotive Properties Risk Indicators
The analysis of Automotive Properties' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Automotive Properties' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting automotive stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.3993 | |||
| Semi Deviation | 0.3223 | |||
| Standard Deviation | 0.5293 | |||
| Variance | 0.2802 | |||
| Downside Variance | 0.3109 | |||
| Semi Variance | 0.1039 | |||
| Expected Short fall | (0.47) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Automotive Properties
The number of cover stories for Automotive Properties depends on current market conditions and Automotive Properties' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Automotive Properties is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Automotive Properties' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
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Automotive Properties Short Properties
Automotive Properties' future price predictability will typically decrease when Automotive Properties' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Automotive Properties Real often depends not only on the future outlook of the potential Automotive Properties' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Automotive Properties' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 50.2 M | |
| Cash And Short Term Investments | 336 K |
Other Information on Investing in Automotive Stock
Automotive Properties financial ratios help investors to determine whether Automotive Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Automotive with respect to the benefits of owning Automotive Properties security.