Summary
• DUSDT traded in a tight range during the 24-hour period, with a high of 0.02148 and low of 0.02050.
• A significant volume spike at 20:15 ET suggests heightened interest or potential order block formation.
• RSI hovered near neutral levels, with no clear overbought/oversold signals, indicating lack of strong directional momentum.
• Bollinger Bands show moderate volatility, with price staying within the band and no recent contraction to signal a breakout.
• Turnover confirmed price consolidation, with no divergences noted between price and volume.
DAR Open Network/Tether (DUSDT) opened at 0.02078 on 2025-11-10 at 12:00 ET and closed at 0.02056 on 2025-11-11 at 12:00 ET. The high was 0.02148 and the low was 0.02050 during the 24-hour period. Total volume amounted to 7,421,963.0, and notional turnover, calculated as volume × average price, was approximately $153,232.
Structure & Formations
Price action revealed key levels of interest: 0.02100–0.02120 acted as resistance, with a potential support cluster around 0.02070–0.02080. A bearish engulfing pattern appeared near 20:15 ET, followed by a bearish reversal in the early morning hours. No clear doji or reversal signals emerged during the 15-minute chart, but price failed to close above 0.02120 in recent attempts, suggesting a lack of conviction in the bullish direction.
Moving Averages
On the 15-minute chart, the 20-period MA crossed below the 50-period MA just before 20:30 ET, signaling a potential short-term bearish bias. The 50-period MA remained above the 100-period MA, though the 100-period MA was in a steady downtrend since mid-evening. For the daily chart, the 200-period MA is currently above the 100-period MA, but the 50-period MA is approaching the 100-period MA from below, indicating a possible near-term reversal or continuation of the downtrend.
MACD & RSI
MACD remained bearish throughout most of the 24-hour period, with a negative histogram and a flattening signal line suggesting fading bearish momentum. RSI oscillated between 45 and 55, indicating a neutral to slightly bearish environment. It dipped below 50 at 20:30 ET and remained below it for the remainder of the session, suggesting a loss of bullish momentum. No clear overbought or oversold conditions emerged, indicating a lack of extreme sentiment.
Bollinger Bands
Volatility remained moderate, with Bollinger Bands widening slightly in the early hours and contracting again by morning. Price remained within the bands for most of the session, with a brief incursion into the upper band at 20:15 ET before retreating. The lower band remained at 0.02080–0.02090 during the consolidation phase, and the midline crossed below the price at 20:30 ET, confirming the bearish bias.
Volume & Turnover
Volume spiked significantly at 20:15 ET, with a massive 8,807,263.0 units traded, suggesting a large block of bearish liquidity or a washout of long positions. Notional turnover spiked in tandem, confirming the price drop at that time. However, in the morning hours, volume and turnover declined, indicating waning interest. No clear divergence between price and volume was observed, and price action was confirmed by both indicators, reducing the probability of a false signal.
Fibonacci Retracements
Applying Fibonacci to the recent 15-minute swing from 0.02148 to 0.02050, the 61.8% retracement level is around 0.02083, which aligned with a key support level observed in the data. The 38.2% level at 0.02113 was tested but not held. For the daily chart, Fibonacci levels suggest key resistance at 0.02125 and potential support at 0.02060, based on the recent swing from 0.02148 to 0.02050.
Backtest Hypothesis
The tested RSI-based strategy (buy overbought, sell oversold) delivered a negative cumulative return of -22.14% over the period 2022–2025, with all trades ending in losses. This highlights the limited effectiveness of mean-reversion logic applied in reverse to a pair like DUSDT, which appears to trend or consolidate without clear overbought/oversold behavior. A reversed version (buy <30, sell >70) might yield better results, and using tighter RSI thresholds or additional trend filters could improve performance. Adjusting risk controls, such as take-profit and stop-loss levels, could also enhance outcomes without exposing capital to excessive risk.
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