SCETH Market Overview for 2025-11-13

Summary
• Price consolidated near $0.00000057, with minimal volatility and no clear directional bias.
• Volume remained subdued for most of the session, with sporadic spikes during late ET hours.
• No significant candlestick patterns emerged, with price repeatedly testing the same level.

Siacoin/Ethereum (SCETH) opened at $0.00000057 on 2025-11-12 at 12:00 ET and closed at $0.00000057 on 2025-11-13 at 12:00 ET. The high was $0.00000058 and the low was $0.00000056 over the 24-hour period. Total volume amounted to 560,485.0 and total turnover stood at $0.32352981.

Structure & Formations

SCETH displayed a narrow trading range, with price testing $0.00000057 repeatedly as a key support and resistance level. A minor bearish gap occurred at the 20:15 ET candle, where price dipped to $0.00000056 after a brief opening at the same level. Later, price bounced back to close above $0.00000057 in the final hours, forming a small bullish reversal pattern at the close. No strong bearish or bullish engulfing patterns emerged during the session, suggesting a lack of conviction in either direction.

Support / Resistance Levels

• Strong support: $0.00000056
• Key resistance: $0.00000058
• Neutral consolidation level: $0.00000057

Moving Averages

On the 15-minute chart, the 20-EMA and 50-EMA were nearly aligned around $0.00000057, indicating a flat to slightly bullish short-term bias. However, the price remained below the 50-EMA for much of the session, suggesting caution. On the daily chart, no 50/100/200-day MA data was available for the period, which limits the ability to assess longer-term trends.

MACD & RSI

The MACD histogram remained flat, with the MACD line hovering just above zero, indicating balanced momentum between bullish and bearish forces. RSI fluctuated between 48 and 52 throughout the session, suggesting a neutral market with no clear overbought or oversold conditions. This lack of momentum divergence aligns with the flat price action observed.

Bollinger Bands

Price remained tightly within the Bollinger Bands for most of the session, indicating low volatility. At the 20:15 ET candle, a brief contraction occurred, but no significant breakout followed. The narrow band width may suggest potential for a directional move, but no clear signal emerged.

Volume & Turnover

Volume was generally low, with most 15-minute candles reporting zero volume or minimal turnover. However, a few notable spikes occurred, notably at 20:15 ET and 22:45 ET, when price dipped slightly and recovered. These spikes suggest sporadic buying interest, but not enough to initiate a sustained move. Price and turnover remained aligned, with no significant divergence noted.

Fibonacci Retracements

Applying Fibonacci retracement levels to the minor 20:15 ET swing (from $0.00000057 to $0.00000056), the 38.2% level would be at $0.000000566 and the 61.8% level at $0.000000562. Price rebounded near the 61.8% level but did not confirm a stronger recovery. On the daily chart, no significant retracements could be applied due to the minimal range.

Backtest Hypothesis

The backtested “RSI Oversold Buy & 1-Day Hold” strategy on SCETH from 2022-01-01 through 2025-11-13 has shown a deeply negative performance with a total return of -65.13%. The strategy failed to capitalize on mean-reversion opportunities amid the prevailing bearish trend. Key weaknesses include a poor Sharpe ratio (-0.77), indicating inefficient risk-adjusted returns, and a lack of downside protection, as evidenced by the 65.76% maximum drawdown. While the strategy occasionally captured strong one-day bounces (best gain of +18%), its overall loss-making nature suggests it is not a robust standalone approach for this asset.

Potential improvements could include combining RSI with a trend-following filter such as a 200-day moving average to avoid short-term mean-reversion in a down-trending asset. Adaptive holding periods or introducing stop-loss and take-profit levels may also improve risk management. Investors considering this strategy should explore parameter adjustments or consider hybrid approaches to enhance performance.