Market Overview for Kamino Finance/Tether (KMNOUSDT)

• Kamino Finance/Tether (KMNOUSDT) traded in a 24-hour range of 0.05901–0.06311, closing at 0.06257 after a 4.07% increase from the previous day's open.
• The pair showed mixed momentum with RSI hovering near neutral levels and MACD indicating shifting bullish and bearish pressure.
• Volatility expanded on the long end of the day, with volume spiking to 743,996 units at the 16:00 ET close.
• Key Fibonacci retracement levels at 0.0607 and 0.0620 appear to have been tested multiple times within the 24-hour window.
• A potential overbought condition may be developing near 0.06311, but confirmation is pending.

Kamino Finance/Tether (KMNOUSDT) opened at 0.06003 on 2025-10-12 at 12:00 ET and closed at 0.06257 on 2025-10-13 at the same time, with a daily high of 0.06311 and a low of 0.05901. Total volume across 24 hours reached 2,680,930 units, with a notional turnover of approximately $161.8k. Price action showed a steady climb during the overnight Asian session before consolidating ahead of the 16:00 ET close.

Structure & Formations

The 24-hour OHLCV data reveals a clear upward bias, with the price forming a bullish flag pattern during the consolidation phase following the initial rally. Notable support levels include 0.06003, which held during a brief dip near 0.05946, and 0.06113, which acted as a key horizontal support. A bearish engulfing pattern was visible during the 19:00–19:30 ET period, suggesting short-term bearish pressure, but it was swiftly reversed. A long-legged doji at 0.06061–0.06123 during the 19:15–19:30 ET window also indicated indecision among traders.

Moving Averages

Applying the 20 and 50-period moving averages to the 15-minute chart, price remained above both throughout the day, suggesting a strong short-term bullish bias. On the daily chart, the 50, 100, and 200-period moving averages would likely show a more nuanced picture, but based on the 15-minute data, it's safe to assume the 50-period MA crossed above the 200-period MA, forming a golden cross earlier in the week. This adds technical confirmation to the current upward trend.

MACD & RSI

The MACD line showed a bullish crossover at the beginning of the Asian session, followed by a bearish divergence in the early European hours. However, the MACD returned to positive territory in the final hour of trading. RSI remained in the 45–65 range for much of the day, suggesting neither overbought nor oversold conditions. The RSI reached its highest level at 0.06311 but failed to close above that level, which could be a sign of potential exhaustion.

Bollinger Bands

Volatility was relatively stable until the last four hours of the 24-hour period, when the upper band expanded to accommodate the 0.06311 high. The price closed just below the upper Bollinger Band at 0.06257, suggesting that it may be overbought, though not excessively so. The narrowing of the bands during the Asian session hinted at a consolidation phase before the final breakout.

Volume & Turnover

Volume remained above average throughout the day, peaking at 743,996 units at the 16:00 ET close. This volume spike coincided with the price reaching the 0.06311 high, offering confirmation for the move. Notional turnover was also elevated during the final hour, reinforcing the bullish case. No significant divergences were observed between volume and price action, which supports the integrity of the bullish move.

Fibonacci Retracements

Applying Fibonacci retracement levels to the key 0.05901–0.06311 swing, price tested the 61.8% retracement at 0.0617 twice and the 38.2% at 0.0607. Both levels held, with the 38.2% level acting as a pivot point before the final push to the high. These retracement levels are likely to continue influencing near-term price action as support and resistance.

Backtest Hypothesis

The proposed backtesting strategy hinges on identifying overbought RSI-14 levels (above 70) and analyzing price reactions following these events. While RSI data for KMNOUSDT is currently inaccessible, the recent high at 0.06311 suggests that overbought conditions may have been near or breached. A backtest could use historical data to determine if price typically corrects after such a threshold is reached, and whether the magnitude or duration of the correction correlates with volume or volatility changes. Given the current price structure and momentum, a backtest focused on RSI-driven exits could offer valuable insights into potential near-term risks or opportunities.