REPYF Repsol S.A. Forecast, Technical & Fundamental Analysis

REPYF in upward trend: 10-day moving average moved above 50-day moving average on February 03, 2026

The 10-day moving average for REPYF crossed bullishly above the 50-day moving average on February 03, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In of 14 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are .

Technical Analysis (Indicators)

Bullish Trend Analysis

The Momentum Indicator moved above the 0 level on January 30, 2026. You may want to consider a long position or call options on REPYF as a result. In of 64 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 REPYF just turned positive on January 30, 2026. Looking at past instances where REPYF's MACD turned positive, the stock continued to rise in of 44 cases over the following month. The odds of a continued upward trend are .

REPYF moved above its 50-day moving average on January 30, 2026 date and that indicates a change from a downward trend to an upward trend.

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where REPYF advanced for three days, in of 39 cases, the price rose further within the following month. The odds of a continued upward trend are .

Bearish Trend Analysis

The RSI Indicator has been in the overbought zone for 2 days. Expect a price pull-back in the near future.

The Stochastic Oscillator has been in the overbought zone for 1 day. Expect a price pull-back in the near future.

REPYF broke above its upper Bollinger Band on January 30, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.

Fundamental Analysis (Ratings)

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 Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly undervalued 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 (0.760) is normal, around the industry mean (1.377). P/E Ratio (17.398) is within average values for comparable stocks, (19.094). Projected Growth (PEG Ratio) (0.498) is also within normal values, averaging (2.028). Dividend Yield (0.060) settles around the average of (0.065) among similar stocks. P/S Ratio (0.351) is also within normal values, averaging (1.060).

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating well-balanced risk and returns. The average Profit vs. Risk Rating rating for the industry is 53, placing this stock slightly better than average.

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

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating weak sales and an unprofitable 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 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.