WalletConnect Token/BNB Market Overview for 2025-11-07


The WalletConnect Token/BNB (WCTBNB) pair opened at 0.000112 on 2025-11-06 at 12:00 ET and closed at 0.0001164 on 2025-11-07 at 12:00 ET. The 24-hour high reached 0.0001216, while the low was 0.0001106. Total volume traded was 26,044.9, and the turnover amounted to 2.9947 (BNB). Price action shows a consolidation pattern breaking to the upside.
On the 15-minute OHLCV data, the pair formed a bullish breakout pattern after consolidating around 0.0001142. A notable Bullish Engulfing pattern appeared around 05:00 ET, confirming the move higher. The 20-period moving average on the 15-minute chart crossed above the 50-period line during the breakout, reinforcing the bullish signal.
The RSI (14) showed a steady rise into the 50–60 range by the morning, indicating strong but not overbought momentumMMT--. Bollinger Bands showed a tightening before the breakout, followed by a price surge outside the upper band. This suggests a potential continuation of the bullish trend. A key resistance level at 0.0001142 was broken, with the next possible target at 0.0001164 and 0.0001171 based on Fibonacci retracement levels from the earlier swing low.
Volume activity was muted during the consolidation phase but spiked sharply after the breakout, especially around 05:00 ET with a large candle (0.0001152–0.0001156). This confirms the price move and rules out a false breakout. However, a divergence between price and volume was observed in the early morning, which may suggest a need for caution if volume does not sustain the move higher.
The backtest hypothesis relies on identifying and entering long positions upon confirmation of the “Bullish Engulfing” pattern, particularly when it occurs during a consolidation phase followed by a volume spike. This strategy would require precise alignment with a validated price history dataset for WCTBNB, ideally from a reliable exchange such as Binance. Due to the current data unavailability, a backtest is deferred until the data is retrieved or an alternate dataset is provided.
Descifrar los patrones del mercado y desarrollar estrategias de trading rentables en el sector de las criptomonedas.
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