$0.474
-0.016 (-3.33%)At close
Price Predictions
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CTM Prediction & Forecast by Similar Chart Analysis
Alphio's CTM stock price prediction model matches the current Castellum Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.38 (-0.51%). The 1-week path is $0.37 (-2.45%). 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 Castellum Inc Stock?
Castellum Inc is not a strong buy right now due to its current price of $0.48, which is near its 52-week low of $0.47, indicating significant downward pressure. The RSI is at 20.978, suggesting the stock is oversold, but this could also indicate continued weakness. The forward P/E ratio is 0, reflecting uncertainty about future earnings, and the stock has seen a year-to-date change of -51.28%, highlighting a substantial decline in value. While hedge funds are increasing their positions by 464.18%, the overall financial performance remains concerning with a net income of -1,053,416 in Q2 2026 and a gross margin of 34.04%. The main risk is the company's negative earnings trend, with the last reported EPS at -0.01.
CTM stock price ended at $0.47 on Thursday, after losing -3.33%
Castellum Inc (CTM) last closed at $0.3794, losing -19.91%. These facts feed the 1-day and 1-week CTM price prediction above.
Forecast Drivers
Castellum Inc (CTM) 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 CTM, ranked by similarity.
Seasonality analysis for CTM
Historically the probability of a positive November return for CTM is 0.00%. January offers the highest probability of a positive month at 44.26%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
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This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.