Market Overview for Sonic/Tether (SUSDT) as of 2025-10-10
• Sonic/Tether (SUSDT) experienced a volatile 24-hour session, swinging from a low of 0.2510 to a high of 0.2748.
• A bearish reversal pattern formed near 0.2740, with a subsequent breakdown below the 0.2700 psychological level.
• Volume surged during the 19:30–20:00 ET window, confirming a sharp 3.4% drop to 0.2703.
• RSI reached overbought levels above 70 twice during the session, followed by bearish divergence.
• Bollinger Bands widened as volatility increased, with price closing near the 1.5σ upper band at key resistance.
Sonic/Tether (SUSDT) opened at 0.2607 on 2025-10-09 12:00 ET and closed at 0.2690 on 2025-10-10 12:00 ET. The pair reached a high of 0.2748 and a low of 0.2510 over the 24-hour period. Total volume amounted to 48,453,596.3 units, with notional turnover reaching 12,628,413.56 (based on USD-equivalent volume). The pair exhibited pronounced swings amid shifting momentum and liquidity levels.
Structure & Formations
Price action on the 15-minute chart revealed key resistance at 0.2740–0.2750 and support at 0.2680–0.2670. A strong bearish engulfing pattern developed near 0.2740, followed by a breakdown below 0.2700. A doji at 0.2680 suggested indecision and potential reversal. The 0.2650–0.2660 area became a critical support level during the overnight session, with price rebounding sharply after a 1.5% drop to 0.2690.
Moving Averages
The 20-period and 50-period moving averages on the 15-minute chart showed bearish divergence, with the 50-period line crossing below the 20-period line near 0.2720. On the daily chart, the 50-period MA was at 0.2693, while the 100-period and 200-period MAs were at 0.2687 and 0.2675, respectively. Price closed above the 50-period MA, suggesting short-term bullish bias but with medium-term bearish divergence emerging.
MACD & RSI
The RSI fluctuated between 65 and 80, signaling overbought conditions and bearish divergence during the 21:00–03:00 ET window. MACD crossed into bearish territory after 19:30 ET, with the histogram showing a sharp decline as bearish momentum increased. A negative crossover occurred at 0.0003, confirming the breakdown from 0.2740. Both indicators suggested a likelihood of further downside toward the 0.2640–0.2650 support cluster.
Bollinger Bands
Bollinger Bands showed a significant expansion, with volatility rising from 0.0010 to 0.0035 width. The 0.2740 high broke through the upper band by 1.2σ, while the 0.2510 low was -2.0σ below the midline. Price closed the 24-hour session near the upper band at 1.5σ, indicating overbought conditions and a potential pullback to the midline. The volatility expansion suggests increased market uncertainty and possible trend continuation.
Volume & Turnover
Volume surged during the 19:30–20:00 ET window, with over 3.1 million units traded as price dropped 3.4% to 0.2703. A second spike occurred between 15:30–16:00 ET, confirming a breakdown from 0.2650. Notional turnover spiked in tandem with volume, with a divergence seen between 08:30–09:00 ET, where volume rose but turnover declined, suggesting weaker conviction. Overall, the volume profile supports the bearish breakout and hints at exhaustion at key support levels.
Fibonacci Retracements
Applying Fibonacci to the 0.2510–0.2748 swing, the 0.2670 and 0.2640 levels correspond to 38.2% and 61.8% retracements, respectively. Price held above 0.2670 during the 03:00–05:00 ET window, indicating strong support. A close below 0.2640 would signal a deeper correction toward the 0.2610–0.2600 cluster, with the 0.2600 level expected to offer initial support.
Backtest Hypothesis
Given the bearish breakout from key resistance and the overbought RSI with bearish divergence, a potential backtesting strategy could involve a short entry at 0.2720 with a stop-loss above 0.2745 and a target at 0.2640. The strategy would aim to capitalize on the exhaustion of bullish momentum and the likelihood of a pullback toward the 38.2% and 61.8% Fibonacci retracement levels. If tested with a 15-minute RSI cross below 70 and a bearish MACD crossover, the strategy may perform best in a high-volatility environment with clear trend continuation signals.
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