AN AutoNation Forecast, Technical & Fundamental Analysis

AN saw its Stochastic Oscillator recovers from the overbought zone

The Stochastic Oscillator for AN moved out of overbought territory on April 14, 2025. This could be a bearish sign for the stock and investors may want to consider selling or taking a defensive position. A.I.dvisor looked at 65 similar instances where the indicator exited the overbought zone. In of the 65 cases the stock moved lower. This puts the odds of a downward move at .

Technical Analysis (Indicators)

Bearish Trend Analysis

The 50-day moving average for AN moved below the 200-day moving average on April 22, 2025. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where AN declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

The Aroon Indicator for AN entered a downward trend on April 07, 2025. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

Bullish Trend Analysis

The Momentum Indicator moved above the 0 level on April 17, 2025. You may want to consider a long position or call options on AN as a result. In of 87 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .

The Moving Average Convergence Divergence (MACD) for AN just turned positive on April 09, 2025. Looking at past instances where AN's MACD turned positive, the stock continued to rise in of 52 cases over the following month. The odds of a continued upward trend are .

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where AN advanced for three days, in of 338 cases, the price rose further within the following month. The odds of a continued upward trend are .

Fundamental Analysis (Ratings)

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 74, placing this stock better than average.

The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to outstanding earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating very strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating steady price growth. AN’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly overvalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (3.106) is normal, around the industry mean (10.798). P/E Ratio (7.252) is within average values for comparable stocks, (35.784). Projected Growth (PEG Ratio) (1.581) is also within normal values, averaging (2.738). AN has a moderately low Dividend Yield (0.000) as compared to the industry average of (0.034). P/S Ratio (0.275) is also within normal values, averaging (19.925).

The Tickeron Seasonality Score of (best 1 - 100 worst) indicates that the company is significantly overvalued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.