Summary
• Price declined sharply from $0.0022 to a 24-hour low of $0.001872.
• RSI suggests oversold conditions toward the end of the session.
• Volume remained elevated during key downward swings.
• Bollinger Bands show increasing volatility with price near the lower band.
• Fibonacci retracement levels point to potential support at $0.00192 and $0.00186.
Opening and Closing Action
FUNToken/Tether (FUNUSDT) opened at $0.002170 on 2025-11-05 at 12:00 ET, surged briefly to a high of $0.002205, then declined sharply to a low of $0.001872 before closing at $0.001924 on 2025-11-06 at 12:00 ET. The 24-hour trading session saw a total volume of 1,439,388,788 tokens and a notional turnover of $2.63 million. The price action suggests a bearish bias, with the candlestick pattern near the 04:00–06:00 ET window forming a bearish engulfing pattern.
Structure & Support/Resistance
Key support levels appear at $0.00192 (38.2% Fibonacci retracement) and $0.00186 (61.8% retracement). Resistance lies at $0.00196 and $0.00200. A doji formed around 08:45 ET as price briefly bounced off the lower band of the Bollinger channels, suggesting potential consolidation.
Indicators
The 20-period and 50-period moving averages on the 15-minute chart both turned bearish, confirming downward
. MACD showed a negative crossover with bearish divergence. RSI dipped below 30 near the close, suggesting potential oversold conditions, but caution is needed as volume dipped at that time.
Volatility and Divergence
Bollinger Bands expanded during the downward move, reflecting increased volatility. Price spent most of the session below the 20-period moving average, and while turnover was elevated during sharp declines, the last hour saw lower volume despite continued price movement, hinting at possible divergences.
Backtest Hypothesis
Given the RSI reaching oversold territory near the end of the session, a backtest strategy based on RSI signals could be relevant. Using the 15-minute interval, a strategy might enter long positions when RSI falls below a threshold (e.g., 30) and exit after a fixed holding window of one bar. Such a strategy would benefit from real-time 15-minute data and precise execution timing. To implement this effectively, the exact ticker symbol (e.g., FUNUSDT), data granularity (preferably 15-minute bars), and RSI threshold must be confirmed. Once set, the backtest could evaluate the strategy's profitability and risk-adjusted returns over the specified period.
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