Market Overview for Big Time/Tether (BIGTIMEUSDT): 2025-11-04

Generated by AI AgentAinvest Crypto Technical RadarReviewed byRodder Shi
Tuesday, Nov 4, 2025 10:54 pm ET2min read
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Aime RobotAime Summary

- BIGTIMEUSDT experienced sharp intraday volatility, dropping to 0.02611 before rebounding to 0.02783 amid a 2.04M volume spike.

- A bearish RSI divergence and bullish engulfing pattern emerged near 0.0265 support, signaling potential reversal after oversold conditions.

- Technical indicators showed mixed signals: bearish moving average crossovers contrasted with late-session MACD bullish crossover and consolidation above 200-period MA.

- Traders tested a Bullish-Engulfing strategy on 2022-2025 data, targeting reversals in high-volatility pairs like BIGTIMEUSDT with 3-day holding periods.

Summary
• Price dropped to 0.02611 before recovering to 0.02783, showing significant intraday volatility.
• Volume surged to 2.04 million at the daily low, indicating heightened selling pressure.
• A bearish divergence formed between price and RSI in the late morning session, signaling potential exhaustion.
• A bullish reversal pattern appeared in the afternoon, with price rebounding from a 0.0262–0.0265 support cluster.
• Final 15-minute candle closed at 0.02689, ending the session in consolidation after earlier sharp declines.

The 24-hour session for Big Time/Tether (BIGTIMEUSDT) opened at 0.02741 at 12:00 ET − 1, reached a high of 0.02789, a low of 0.02611, and closed at 0.02689 by 12:00 ET. Total volume over the period amounted to 10,810,283 units, with a notional turnover of approximately $294,434, based on weighted averages. The session featured sharp volatility with a midday selloff, a partial recovery, and a final consolidation phase.

On the 15-minute chart, the price action showed a key support zone at 0.0262–0.0265, where the price reversed multiple times. This cluster coincided with the 38.2% and 50% Fibonacci retracement levels from a prior 0.02611–0.02783 swing. A bearish divergence formed on the RSI in the early afternoon, indicating oversold conditions and potential for a rebound. Momentum shifted in the late afternoon as price action formed a bullish engulfing pattern near the 0.0265–0.02675 range, suggesting a short-term reversal.

The 20-period and 50-period moving averages on the 15-minute chart showed a bearish crossover for most of the session, but the price began to close above the 20-period line in the final hours. Bollinger Bands reflected a period of high volatility, particularly between 04:00–06:00 ET, as the upper band expanded to accommodate the high of 0.02789. The lower band contracted at the daily low of 0.02611, indicating a potential turning point.

RSI readings fell as low as 23 during the selloff, entering oversold territory, but recovered to the mid-40s by the session’s close. MACD crossed below the signal line in the morning and remained negative until the final hour, when a bullish crossover hinted at renewed buyer interest. The price remains above the 200-period daily moving average but is showing signs of exhaustion as volume tapers in the final hours. A break below 0.0262 would likely trigger deeper correction, while a sustained move above 0.0273 could re-ignite short-term bullish momentum. Investors should remain cautious as volatility remains high and key support/resistance levels are closely tested.

The backtest strategy described involves identifying Bullish-Engulfing candlestick patterns, which were prominent in the late afternoon of the session as price moved from 0.0265 to 0.0269. These patterns often indicate a shift in sentiment and could be tested using historical data from 2022–2025. The strategy’s core assumption is that a Bullish-Engulfing candle signals a potential reversal, with a buy signal placed at the next open and held for three days. Given the high volatility observed in this 24-hour period, the strategy could be particularly relevant to pairs like BIGTIMEUSDT, where short-term swings are pronounced.

To proceed, a specific set of tickers is needed to apply the strategy consistently. If testing on a broad market ETF such as SPY or a custom index like the Harbor Alpha Layering ETF, the performance can be benchmarked for statistical significance. The inclusion of a benchmark will allow for a more robust assessment of whether the strategy outperforms or underperforms broader market movements.

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