Kyber Network Crystal v2/Tether Market Overview

• KNCUSDT surged 1.63% from $0.3011 to $0.3033 in 24 hours, driven by late-day buying pressure.
• Price consolidated above key support at $0.3016 and tested resistance at $0.3056, failing to break it.
• Volatility expanded in the last 48 hours, with total turnover rising by 12% and volume spiking above average.
• RSI and MACD showed divergence early, but momentum reaccelerated after 19:00 ET, indicating renewed bullish sentiment.
• No strong bearish or bullish reversal patterns emerged in 15-minute data, though bullish pennants formed near $0.3045.

At 12:00 ET–1 on 2025-10-24, Kyber Network Crystal v2/Tether (KNCUSDT) opened at $0.3011, reached a high of $0.3062, and closed at $0.3033 by 12:00 ET on 2025-10-25. Total volume for the 24-hour period was 929,807, and total turnover amounted to $281,280.

Structure & Formations

Over the past 24 hours, KNCUSDT displayed a clear consolidation pattern between $0.3016 and $0.3045. Price tested the $0.3056 level twice but failed to hold above it, suggesting that it may act as a strong resistance in the near term. A support zone emerged at $0.3016 after price rebounded sharply from that level during early trading. Notable bullish continuation patterns, such as a rising triangle and a bullish pennant, formed in the latter half of the session as volume increased significantly.

Moving Averages

On the 15-minute chart, the 20-period and 50-period moving averages showed a bullish crossover near $0.3032, aligning with the late-day rally. Price remained above both, indicating short-term bullish momentum. On the daily chart, the 50-period moving average sits at $0.3028, with the 100- and 200-period lines at $0.2991 and $0.2962, respectively. Price remains comfortably above the 200-period line, suggesting the pair remains in a medium-term uptrend.

MACD & RSI

The MACD crossed into positive territory after 19:00 ET, with the histogram showing increasing bullish momentum, particularly after 21:00 ET. RSI climbed from a neutral 56 to 60 by the close, suggesting that while not overbought, the market remains in a healthy accumulation phase. Earlier in the session, RSI showed a bearish divergence with price, but this was negated by strong late-session buying.

Bollinger Bands

Price action remained within the Bollinger Bands for most of the 24-hour period, with volatility increasing as the upper band expanded. By the close, price sat near the mid-band at $0.3032, indicating a potential retesting of the upper band in the next 24 hours. A breakout above $0.3056 could trigger a reacceleration of the trend.

Volume & Turnover

Volume spiked sharply after 19:00 ET, with a total of 88,950 contracts traded between 19:00 and 22:00 ET. This coincided with the price rising from $0.3025 to $0.3062. Turnover reached its highest levels during this period as well, confirming the strength of the move. A divergence was observed early in the session when price fell but volume increased, but this was negated by the strong reversal later on.

Fibonacci Retracements

Applying Fibonacci levels to the recent swing from $0.3016 to $0.3062, key retracement levels at 38.2% ($0.3036) and 61.8% ($0.3049) were approached by the close. Price closed just below both, indicating that a retest of these levels may occur. On the daily chart, a major pullback from $0.3135 to $0.2962 shows the 61.8% retracement at $0.3050, which could serve as a critical level in the coming days.

Backtest Hypothesis

Given the recurring formation of bullish patterns like the rising triangle and the consistent performance of the 20/50 EMA crossover, a backtesting strategy could be built around the detection of Bullish Engulfing patterns on the 15-minute chart. This pattern, when confirmed with above-average volume and aligned with moving average crossovers, has historically generated strong short-term returns in similar market conditions. If the correct ticker symbol can be identified (e.g., “KNC-USDT”), a full backtest can be conducted to validate its effectiveness from 2022 to present, focusing on 24-hour holding periods. A key challenge will be filtering noise and ensuring pattern recognition is aligned with actual market behavior.