Wrap Technologies Inc

Wrap Technologies Inc (WRAP) Price Prediction & Forecast

$1.610

-0.103 (-6.40%)At close

Price Predictions

1-Day Price Prediction
-0.79%
1-Week Prediction
-4.54%
1-Month Prediction
2026 Prediction
2030 Prediction

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WRAP Prediction & Forecast by Similar Chart Analysis

Alphio's WRAP stock price prediction model matches the current Wrap Technologies Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.60 (-0.79%). The 1-week path is $1.54 (-4.54%). 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 Wrap Technologies Inc Stock?

Wrap Technologies Inc is a good buy right now due to its recent 5.92% increase over the last five days and a notable 45% year-over-year revenue growth reported for Q1 2026, indicating strong recovery and demand. However, the main risk lies in its current price of 1.61, which is still down 37.60% year-to-date, reflecting volatility in the stock.

WRAP stock price ended at $1.61 on Friday, after losing -6.40%

Wrap Technologies Inc (WRAP) last closed at $1.61, losing -6.40%. These facts feed the 1-day and 1-week WRAP price prediction above.

Forecast Drivers

Wrap Technologies Inc (WRAP) forecast drivers combine similar chart patterns, seasonality, and moving averages.

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

Similar Chart Patterns

Stocks whose recent price path most closely matches WRAP, ranked by similarity.

Seasonality analysis for WRAP

Historically the probability of a positive August return for WRAP is 0.00%. January offers the highest probability of a positive month at 73.77%, 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.

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