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Summary
• Price surged over 24 hours with strong
NEOUSDT opened at $4.701 on 2025-11-06 12:00 ET and closed at $5.667 by the same time on 2025-11-07. The 24-hour high reached $5.671, and the low fell to $4.667. Total volume amounted to approximately 731,848.67, with total turnover at $3,702,166.91.
Price action over the last 24 hours showed a strong bullish trend, with a clear breakout from a multi-hour consolidation zone around $4.80. Key resistance levels were tested and broken at $4.90, $5.05, and $5.20, followed by a rapid ascent past $5.40–5.50. The final hours of the 24-hour period featured a powerful rally into $5.67, supported by increasing volume and a tightening of Bollinger Bands, suggesting a buildup of momentum.
The 15-minute 20/50 EMA crossover confirmed the bullish trend, with both moving averages trending upward. MACD remained in positive territory with a narrowing histogram, indicating potential exhaustion of the rally phase. RSI pushed into overbought territory (above 70) in the final hours, cautioning against further short-term gains without a pullback. Volatility increased as the upper Bollinger Band expanded from $4.90 to $5.67, suggesting higher price swings and uncertainty ahead.
Fibonacci retracements aligned with key resistance levels during the $4.80–5.20 move, and the 61.8% level ($5.16) was cleared decisively, signaling a strong continuation of the upward trend. Notable candlestick patterns included a bullish engulfing pattern at $4.80 and a strong white candle at $5.66–5.67 in the final period.

Backtest Hypothesis:
To refine entry and exit strategies for the NEOUSDT pair, a systematic approach is needed. Given the inability to retrieve MACD and RSI values directly, we need the correct ticker symbol for the data source or a CSV/JSON of daily prices since 2022. Once this is resolved, the plan is to:
1. Identify all MACD golden crosses (bullish crossovers) since January 1, 2022.
2. Define exit signals using RSI < 30 (oversold) or a 61.8% Fibonacci retracement of the last rally.
3. Execute a backtest using these signals and report performance metrics like returns, drawdowns, and risk-adjusted returns.
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