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DOGZ Stock Price Prediction 2026

Dogness (International) Corporation Class A Common Stock

$1.05
$-0.15 (-12.13%)

AI-powered price predictions based on fundamental analysis and growth projections

Last Updated: January 30, 2026
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AI TRADING RECOMMENDATION
Evaluate position
Key Signals:
  • • Volume showing distribution (CMF: -0.2917)
  • • Recent pattern: Doji - Indecision pattern
  • • Price near support at $1.17
MACD: Bearish | Volume: Distribution
Fair Value Estimate
+1118.1% Undervalued
Fair Value: $12.79 (Current: $1.05)

Based on PEG ratio analysis, this stock appears undervalued at current levels. The fair value estimate suggests 1118.1% upside potential.

PEG Ratio
0.07
Attractive
Current P/E
6.84
Fair P/E
83.32
Earnings Growth
100.0%
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Volume Trend: Distribution

Selling Pressure Present - Distribution pattern observed

Chaikin Money Flow (CMF): -0.292
Money Flow Index (MFI): 57.8

Negative CMF indicates money flowing out of the stock. Exercise caution as this may signal distribution.

Price Targets by Timeframe
AI-based growth projections (not Wall Street analyst targets)
Timeframe Target Price Potential Return
30 Days $1.06 +1.2%
90 Days $1.09 +3.7%
6 Months $1.13 +7.5%
1 Year $1.21 +15.0%

More DOGZ Analysis

Why is DOGZ Moving? Buy or Sell DOGZ? DOGZ Full Analysis DOGZ Trendline Analysis
DOGZ Price Prediction Trendline

Scenario Analysis (1-Year Outlook)

Bull Case
30% Probability
$1.51 (+44.0%)

Best case scenario if strong fundamentals and market conditions align

Base Case
50% Probability
$1.21 (+15.2%)

Expected scenario based on current growth trajectory

Bear Case
20% Probability
$0.85 (-19.3%)

Downside scenario if market headwinds or disappointing results

Technical Indicators

RSI (14)
10.1
Oversold
MACD Signal
Bearish
Trend
Downtrend
Money Flow (CMF)
-0.29

Key Fundamentals

Forward P/E
6.84
P/S Ratio (TTM)
0.74x
Very Undervalued
Revenue Growth (QoQ)
0.1%
Earnings Growth (QoQ)
1.8%
Market Cap
$15M
52-Week High
$1.20
52-Week Low
$1.05
Investment Disclaimer: These price predictions are generated using AI models and historical data. They are not financial advice and should not be the sole basis for investment decisions. Past performance does not guarantee future results. Always conduct your own research and consult with a qualified financial advisor before making investment decisions.
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