Market Overview for Siacoin/Ethereum (SCETH) as of 2025-11-12

Generated by AI AgentTradeCipherReviewed byAInvest News Editorial Team
Wednesday, Nov 12, 2025 10:56 pm ET2min read
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- SCETH remained flat at $0.00000058 for 24 hours, with all 15-minute candles forming Dojis and no price variation.

- Minimal notional turnover ($48.73) and two brief volume spikes ($283k, $572k) indicated limited liquidity and potential wash trading.

- Technical indicators (MACD, RSI, Bollinger Bands) showed zero momentum, while backtesting confirmed unreliable S/R-based strategies due to ultra-low volatility.

Summary
• SCETH opened at $0.00000058 and closed flat at the same price, with a 24-hour high and low both at $0.00000058.
• No price action variation was recorded, with all 15-minute candles forming Doji patterns.
• Notional turnover was minimal at $48.73, with volume spiking briefly at $283,011 and $572,758 before retreating.

SCETH traded flat over the 24-hour period, opening at $0.00000058, reaching a high and low of the same price, and closing at $0.00000058. Total volume stood at 1,566,281 units, with a notional turnover of $48.73. Price action showed no directional bias, with all candles forming Dojis.

Structure & Formations


SCETH's price remained entirely stagnant, with all 15-minute candles showing no variation in open, high, low, or close. This suggests a complete absence of price discovery, potentially due to low liquidity or market inactivity. The only meaningful event was a single high-volume bar at $283,011, followed by a larger spike at $572,758, both at the same price level, suggesting possible large orders or wash trading. No distinct support or resistance levels formed during the day due to the flatness of the price path.

Moving Averages


On the 15-minute chart, 20-period and 50-period moving averages overlapped at the same flat level, consistent with the price trend. On the daily chart, the 50/100/200-period moving averages also showed no deviation, remaining aligned with the unchanged price. This flatness suggests an equilibrium with no momentum either up or down.

MACD & RSI


MACD showed no divergence, with both the line and signal at zero. RSI also remained flat at 50, indicating neither overbought nor oversold conditions. These metrics reinforce the view of a market at rest, without any directional pressure.

Bollinger Bands


Price remained centered within Bollinger Bands, with the bands contracting slightly due to the low volatility. The standard deviation remained near zero, reflecting an unusually stable market. No breakout or breakdown was observed.

Volume & Turnover


Volume was largely flat with most 15-minute intervals showing zero activity. However, two spikes—$283,011 and $572,758—indicated moments of liquidity injection. Despite these spikes, price remained flat, suggesting the activity was likely concentrated on one side of the market. Turnover mirrored this pattern, with the total amount traded amounting to just $48.73.

Fibonacci Retracements


As all candles showed no movement, Fibonacci levels could not be meaningfully calculated. On the daily chart, previous support and resistance levels remain relevant, but no retracement could be formed from the current 24-hour period due to the lack of price change.


Backtest Hypothesis


The limited price movement in SCETH over the past 24 hours aligns with the earlier backtesting findings, which show little predictive value from simple support/resistance (S1/R1) touches. Given the ultra-low volatility and absolute price level, trivial price ticks can falsely trigger trading signals. The backtesting results—showing average negative returns post-event and win-rates not exceeding 50%—underscore the unreliability of this strategy for SCETH.

The analysis suggests that any meaningful strategy should incorporate tighter trigger conditions (e.g., a 50% buffer above R1 or below S1), higher pivot levels (R2/S2), or additional filters such as volume or volatility. With SCETH's current dynamics, a naive pivot-based approach is unlikely to yield consistent profits. Extending the historical dataset or using intraday price data could also improve signal robustness.

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