$1.570
+0.229 (+14.60%)At close
Price Predictions
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NTRP Prediction & Forecast by Similar Chart Analysis
Alphio's NTRP stock price prediction model matches the current Nexttrip Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.57 (+0.25%). The 1-week path is $1.54 (-2.09%). 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 Nexttrip Inc Stock?
NextTrip Inc (NTRP) appears to be a good buy right now due to its recent price surge of 17.60% over the last five days and an RSI of 67.796, indicating strong momentum. The stock is currently priced at $1.57, significantly below the analyst price target of $7, suggesting substantial upside potential. However, investors should be cautious of the high net loss of $5,358,228 reported for Q4 2026, which poses a risk to profitability.
NTRP stock price ended at $1.57 on Friday, after rising +14.60%
Nexttrip Inc (NTRP) last closed at $1.57, gaining +14.60%. These facts feed the 1-day and 1-week NTRP price prediction above.
Analyst Consensus
Nexttrip Inc (NTRP): 1 buy, 0 hold, 0 sell. Outlook: Strong Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Nexttrip Inc (NTRP) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches NTRP, ranked by similarity.
Seasonality analysis for NTRP
Historically the probability of a positive August return for NTRP is 14.29%. January offers the highest probability of a positive month at 73.77%, while May 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.