Market Overview for PUMPUSDC: 24-Hour Price Action, Volatility, and Momentum

• PUMPUSDC opened at $0.004399 and closed at $0.004534, showing a positive 24-hour trend with a peak of $0.004695 and a trough of $0.004218.
• Price action displayed a bullish breakout from a consolidation range, with key resistance tested and temporarily breached around $0.00467.
• Volume increased markedly after 20:00 ET, suggesting growing buyer participation and momentum on the upside.
• RSI and MACD showed signs of overbought conditions by 21:00 ET, indicating possible short-term correction ahead.
• Bollinger Bands widened significantly during the 19:00–20:15 ET period, signaling increased volatility and heightened trading activity.

Price Action and Opening Summary

Pump.fun/USDC (PUMPUSDC) opened at $0.004399 on 2025-10-31 at 12:00 ET and closed at $0.004534 on 2025-11-01 at 12:00 ET. The 24-hour high reached $0.004695 and the low dropped to $0.004218, indicating a volatile session. Total trading volume amounted to approximately 734,258,645 USDC, with a total turnover of $3,269,133, highlighting increased market participation.

Structure and Candlestick Formations

The price chart displayed a bullish breakout pattern around $0.00467, with a long green candle at 20:00 ET forming an engulfing pattern as price closed at $0.004676. This candle appears to signal a reversal from a prior downtrend. Additionally, a series of higher lows and higher highs formed a moderate uptrend during the latter half of the session. Notable bearish patterns occurred briefly around 19:00–19:30 ET, as price formed a dark cloud cover pattern before buyers regained control.

Moving Averages and MACD / RSI

Short-term moving averages (20 and 50-period) on the 15-minute chart trended upward after 19:00 ET, suggesting continued bullish momentum. The 50-period MA crossed above the 20-period MA in a "golden cross" around 19:45 ET, reinforcing the uptrend. The MACD showed a positive crossover at 20:00 ET, with rising histogram bars confirming bullish strength. Meanwhile, the RSI climbed into overbought territory above 65 by 21:00 ET, signaling a possible short-term pullback.

Bollinger Bands and Volatility

Volatility expanded significantly during the 19:00–20:15 ET window, with Bollinger Bands widening and price reaching the upper band at the peak of $0.004695. Price remained within the bands for the majority of the session, indicating a controlled move. However, the narrow band compression before 19:00 ET suggests a period of consolidation that ended with a sharp breakout.

Volume and Turnover Analysis

Trading volume spiked to over 178.6 million USDC at 20:00 ET, confirming the breakout. Notional turnover surged in tandem, with a peak of $818,000 at 20:00 ET. The divergence between volume and price action after 21:00 ET (lower volume but sustained price) may hint at a temporary exhaustion in bullish momentum. Overall, volume and turnover showed a strong positive correlation with the price surge.

Fibonacci Retracements and Key Levels

Applying Fibonacci retracements to the 19:00–20:15 ET swing, the 61.8% level was at $0.00463 and the 78.6% at $0.00470. Price briefly tested the 78.6% level at $0.004695 before retreating. The 38.2% level of $0.00449 and 61.8% of $0.00441 were also key supports during the day. Daily retracements showed the 61.8% level around $0.00448, which held as a support before the final leg up.

Backtest Hypothesis

Given the recent bullish breakout and the formation of an engulfing candle at $0.004676, a potential backtest hypothesis would involve detecting a “Hammer” pattern at the end of a downward trend. A strategy could be constructed to enter long at the close of a confirmed hammer, with a stop-loss placed below the low of the hammer candle and a take-profit at the 61.8% Fibonacci level of the subsequent upward swing. This could be enhanced by incorporating a volume filter to ensure that the hammer candle has relatively high volume, indicating institutional or strong retail participation. Testing this approach on historical PUMPUSDC 15-minute data may help quantify its efficacy as a reversal signal.