$0.638
-0.049 (-7.62%)At close
Price Predictions
Open in app to unlock longer-horizon forecasts.
FUSE Prediction & Forecast by Similar Chart Analysis
Alphio's FUSE stock price prediction model matches the current Fusemachines Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.63 (-1.27%). The 1-week path is $0.61 (-4.65%). 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 Fusemachines Inc Stock?
CSLM Acquisition Corp (FUSE) is not a good buy right now due to its current price of $0.70, which is down 59% year-to-date and 75% over the past year. The RSI is at a very low 23.476, indicating that the stock is oversold, but this could also suggest ongoing bearish momentum. The company has reported negative net income in several recent quarters, including a net loss of $2,849,000 in Q2 2026, which raises concerns about its financial health. The main risk is its low gross margin of 50.45% in Q1 2026, which could indicate challenges in profitability moving forward.
FUSE stock price ended at $0.64 on Tuesday, after losing -7.62%
Fusemachines Inc (FUSE) last closed at $0.6375, losing -7.62%. These facts feed the 1-day and 1-week FUSE price prediction above.
Forecast Drivers
Fusemachines Inc (FUSE) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches FUSE, ranked by similarity.
Seasonality analysis for FUSE
Historically the probability of a positive September return for FUSE is 0.00%. April offers the highest probability of a positive month at 66.67%, while March 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.