$2.270
-0.010 (-0.44%)At close
Price Predictions
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DNN Prediction & Forecast by Similar Chart Analysis
Alphio's DNN stock price prediction model matches the current Denison Mines Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.20 (-3.20%). The 1-week path is $2.39 (+5.26%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.
Should I Buy Denison Mines Corp Stock?
Denison Mines Corp is not a strong buy at the current price of 2.28, especially with an RSI of 37.568 indicating oversold conditions. The forward P/E ratio is extremely high at 188.6792, suggesting that the stock may be overvalued despite potential upside from uranium price increases. The main risk is the significant net income loss of -114879000 CAD in the last quarter, which raises concerns about the company's profitability.
DNN stock price ended at $2.27 on Monday, after losing -0.44%
Denison Mines Corp (DNN) last closed at $2.27, losing -0.44%. These facts feed the 1-day and 1-week DNN price prediction above.
Analyst Consensus
Denison Mines Corp (DNN): 2 buy, 1 hold, 0 sell. Outlook: Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Denison Mines Corp (DNN) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches DNN, ranked by similarity.
Seasonality analysis for DNN
Historically the probability of a positive October return for DNN is 76.67%. November offers the highest probability of a positive month at 100.00%, while August is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.