Autocanada Stock Technical Analysis
| AOCIF Stock | USD 19.48 0.15 0.76% |
As of the 1st of March, AutoCanada shows the Mean Deviation of 1.12, risk adjusted performance of 0.1688, and Downside Deviation of 3.52. AutoCanada technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm AutoCanada treynor ratio, as well as the relationship between the potential upside and expected short fall to decide if AutoCanada is priced correctly, providing market reflects its regular price of 19.48 per share. Given that AutoCanada has jensen alpha of 0.3533, we suggest you to validate AutoCanada's prevailing market performance to make sure the company can sustain itself at a future point.
AutoCanada Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as AutoCanada, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AutoCanadaAutoCanada |
AutoCanada 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to AutoCanada's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of AutoCanada.
| 12/01/2025 |
| 03/01/2026 |
If you would invest 0.00 in AutoCanada on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding AutoCanada or generate 0.0% return on investment in AutoCanada over 90 days. AutoCanada Inc., through its subsidiaries, operates franchised automobile dealerships More
AutoCanada Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure AutoCanada's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess AutoCanada upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.52 | |||
| Information Ratio | 0.1659 | |||
| Maximum Drawdown | 14.21 | |||
| Value At Risk | (1.33) | |||
| Potential Upside | 4.31 |
AutoCanada Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AutoCanada's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AutoCanada's standard deviation. In reality, there are many statistical measures that can use AutoCanada historical prices to predict the future AutoCanada's volatility.| Risk Adjusted Performance | 0.1688 | |||
| Jensen Alpha | 0.3533 | |||
| Total Risk Alpha | 0.1982 | |||
| Sortino Ratio | 0.0905 | |||
| Treynor Ratio | 0.7001 |
AutoCanada March 1, 2026 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 | 0.1688 | |||
| Market Risk Adjusted Performance | 0.7101 | |||
| Mean Deviation | 1.12 | |||
| Semi Deviation | 1.02 | |||
| Downside Deviation | 3.52 | |||
| Coefficient Of Variation | 470.16 | |||
| Standard Deviation | 1.92 | |||
| Variance | 3.69 | |||
| Information Ratio | 0.1659 | |||
| Jensen Alpha | 0.3533 | |||
| Total Risk Alpha | 0.1982 | |||
| Sortino Ratio | 0.0905 | |||
| Treynor Ratio | 0.7001 | |||
| Maximum Drawdown | 14.21 | |||
| Value At Risk | (1.33) | |||
| Potential Upside | 4.31 | |||
| Downside Variance | 12.42 | |||
| Semi Variance | 1.05 | |||
| Expected Short fall | (2.86) | |||
| Skewness | 0.1981 | |||
| Kurtosis | 5.64 |
AutoCanada Backtested Returns
AutoCanada appears to be very steady, given 3 months investment horizon. AutoCanada secures Sharpe Ratio (or Efficiency) of 0.23, which signifies that the company had a 0.23 % return per unit of risk over the last 3 months. We have found thirty technical indicators for AutoCanada, which you can use to evaluate the volatility of the firm. Please makes use of AutoCanada's Downside Deviation of 3.52, mean deviation of 1.12, and Risk Adjusted Performance of 0.1688 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, AutoCanada holds a performance score of 18. The firm shows a Beta (market volatility) of 0.57, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, AutoCanada's returns are expected to increase less than the market. However, during the bear market, the loss of holding AutoCanada is expected to be smaller as well. Please check AutoCanada's expected short fall, day median price, and the relationship between the potential upside and accumulation distribution , to make a quick decision on whether AutoCanada's price patterns will revert.
Auto-correlation | 0.54 |
Modest predictability
AutoCanada has modest predictability. Overlapping area represents the amount of predictability between AutoCanada time series from 1st of December 2025 to 15th of January 2026 and 15th of January 2026 to 1st of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of AutoCanada price movement. The serial correlation of 0.54 indicates that about 54.0% of current AutoCanada price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 1.43 |
AutoCanada technical pink sheet 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, pink sheet market cycles, or different charting patterns.
AutoCanada Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for AutoCanada across different markets.
About AutoCanada Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of AutoCanada on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of AutoCanada based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on AutoCanada price pattern first instead of the macroeconomic environment surrounding AutoCanada. By analyzing AutoCanada's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of AutoCanada's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to AutoCanada specific price patterns or momentum indicators. Please read more on our technical analysis page.
AutoCanada March 1, 2026 Technical Indicators
Most technical analysis of AutoCanada help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for AutoCanada from various momentum indicators to cycle indicators. When you analyze AutoCanada charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.1688 | |||
| Market Risk Adjusted Performance | 0.7101 | |||
| Mean Deviation | 1.12 | |||
| Semi Deviation | 1.02 | |||
| Downside Deviation | 3.52 | |||
| Coefficient Of Variation | 470.16 | |||
| Standard Deviation | 1.92 | |||
| Variance | 3.69 | |||
| Information Ratio | 0.1659 | |||
| Jensen Alpha | 0.3533 | |||
| Total Risk Alpha | 0.1982 | |||
| Sortino Ratio | 0.0905 | |||
| Treynor Ratio | 0.7001 | |||
| Maximum Drawdown | 14.21 | |||
| Value At Risk | (1.33) | |||
| Potential Upside | 4.31 | |||
| Downside Variance | 12.42 | |||
| Semi Variance | 1.05 | |||
| Expected Short fall | (2.86) | |||
| Skewness | 0.1981 | |||
| Kurtosis | 5.64 |
AutoCanada March 1, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as AutoCanada stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (15.00) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 19.49 | ||
| Day Typical Price | 19.48 | ||
| Price Action Indicator | (0.08) | ||
| Market Facilitation Index | 0.01 |
Complementary Tools for AutoCanada Pink Sheet analysis
When running AutoCanada's price analysis, check to measure AutoCanada's 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 AutoCanada is operating at the current time. Most of AutoCanada's value examination focuses on studying past and present price action to predict the probability of AutoCanada's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AutoCanada's price. Additionally, you may evaluate how the addition of AutoCanada to your portfolios can decrease your overall portfolio volatility.
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