Synergy CHC Corp

Synergy CHC Corp (SNYR) Price Prediction & Forecast

$0.103

-0.002 (-1.71%)At close

Price Predictions

1-Day Price Prediction
+2.67%
1-Week Prediction
+5.89%
1-Month Prediction
2026 Prediction
2030 Prediction

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SNYR Prediction & Forecast by Similar Chart Analysis

Alphio's SNYR stock price prediction model matches the current Synergy CHC Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.11 (+2.67%). The 1-week path is $0.11 (+5.89%). 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 Synergy CHC Corp Stock?

Synergy CHC Corp is not a good buy right now due to its significant financial struggles and declining performance. The stock has a current price of $0.10, with a year-to-date change of -94.51%, indicating severe losses. Additionally, the company reported a net loss of $14.82 million in Q4 2025, which raises serious concerns about its financial health and sustainability.

SNYR stock price ended at $0.10 on Friday, after losing -1.71%

Synergy CHC Corp (SNYR) last closed at $0.1032, losing -1.71%. These facts feed the 1-day and 1-week SNYR price prediction above.

Forecast Drivers

Synergy CHC Corp (SNYR) 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 SNYR, ranked by similarity.

Seasonality analysis for SNYR

Historically the probability of a positive August return for SNYR is 0.00%. January offers the highest probability of a positive month at 22.50%, while February 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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