$2.825
+0.005 (+0.18%)At close
Price Predictions
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CYPH Prediction & Forecast by Similar Chart Analysis
Alphio's CYPH stock price prediction model matches the current Cypherpunk Technologies Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.87 (+1.54%). The 1-week path is $3.04 (+7.69%). 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 Cypherpunk Technologies Inc Stock?
Cypherpunk Technologies Inc (CYPH) is a good buy right now due to its current price of $2.82, which is significantly above its 200-day simple moving average of $1.231, indicating strong upward momentum. Additionally, the stock has shown a remarkable year-to-date change of +149.56%, reflecting robust investor interest. The RSI is at 46.618, suggesting that the stock is not overbought yet, providing room for growth. The main risk is the recent negative earnings report with an EPS of -0.03, which could impact investor sentiment if not addressed in future quarters.
CYPH stock price ended at $2.83 on Monday, after rising +0.18%
Cypherpunk Technologies Inc (CYPH) last closed at $2.825, gaining +0.18%. These facts feed the 1-day and 1-week CYPH price prediction above.
Forecast Drivers
Cypherpunk Technologies Inc (CYPH) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bullish
Similar Chart Patterns
Stocks whose recent price path most closely matches CYPH, ranked by similarity.
Seasonality analysis for CYPH
Historically the probability of a positive October return for CYPH is 100.00%. September offers the highest probability of a positive month at 100.00%, while February 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.