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Summary
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TRON/Tether (TRXUSDT) opened at 0.2956 on 2025-11-12 at 12:00 ET, reached a high of 0.2993, and a low of 0.2935 before closing at 0.2986 on 2025-11-13 at 12:00 ET. Total volume amounted to 174,855,878.2 USDT, with notional turnover of approximately $52.85 million over the past 24 hours.
Structure and form revealed a strong support at 0.2935-0.2938, where a bullish reversal followed a 1.2% decline. A 15-minute bullish engulfing pattern emerged at 3:30 AM ET after the dip. On the upper side, 0.2975–0.2980 acted as a key resistance, with a 61.8% Fibonacci retracement aligning closely with a 20-period EMA, which held above 0.2970. A potential bearish divergence in MACD at 16:45 ET suggested weakening momentum.
Volatility expanded significantly between 3:15 and 3:45 AM ET, with Bollinger Bands widening as the price broke out of a 4-hour consolidation. Volume spiked during this breakout, confirming strength. However, volume during the 9:00 AM ET high at 0.2993 was relatively subdued, raising concerns about sustainability. A minor divergence between rising price and declining volume at 16:30 ET hinted at a potential near-term correction.
MACD crossed into positive territory at 4:00 AM ET, with a bullish crossover of the signal line. RSI hit an overbought level of 70 by 7:45 AM ET but failed to confirm with a higher close, indicating potential exhaustion. On the daily chart, the 200-period SMA at 0.2930 offered critical support, with price currently trading above it. The 50-period SMA at 0.2970 remained a key watch level for short-term direction.
Backtest Hypothesis
The "RSI Overbought" backtesting strategy applied to TRXUSDT from 2022–01–01 to 2025–11–13 yielded a total return of –0.41%, with an average trade of +0.16%. Despite positive expectancy per trade, the strategy underperformed due to frequent drawdowns, with a max drawdown of –39.45% and a Sharpe ratio of just 0.09. This aligns with today’s RSI overbought condition, which has historically failed to confirm with strong volume and price action. Adjustments such as adding a trailing stop-loss or filtering trades based on volume thresholds may be worth testing to reduce exposure during overbought divergences like those observed today.
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