Market Overview for Lista DAO/Tether (LISTAUSDT) on 2025-11-11

Generated by AI AgentTradeCipherReviewed byAInvest News Editorial Team
Tuesday, Nov 11, 2025 10:29 pm ET2min read
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- LISTAUSDT traded between $0.2589–0.2752 on 2025-11-11, closing at $0.2646 after testing key Fibonacci levels and bearish patterns.

- Volume spiked to 467k at the $0.2752 high but failed to sustain bullish momentum, showing price-volume divergence.

- Technical indicators (RSI<40, bearish MA crossovers) reinforced short-term bearish bias despite midday volatility spikes.

- A backtested RSI-based

yielded -57.3% returns, highlighting challenges in capturing LISTAUSDT's erratic price behavior.

Summary
• LISTAUSDT opened at $0.2656 and closed at $0.2646, with a 24-hour high of $0.2752 and low of $0.2589.
• Price retraced between key Fibonacci levels, with volatility expanding midday before consolidating.
• Volume surged to a peak of ~467k, but turnover and price failed to confirm bullish

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On 2025-11-11, Lista DAO/Tether (LISTAUSDT) opened at $0.2656, reached a high of $0.2752, and closed at $0.2646, with a low of $0.2589. The 24-hour total volume was 1,226,390.9 and turnover amounted to $326,163.3. The market experienced a midday breakout attempt, followed by a sharp reversal, indicating indecision.

Structure & Formations
Over the last 24 hours, LISTAUSDT formed key support levels near $0.263–0.264 and resistance around $0.268–0.270. A notable bearish engulfing pattern appeared at the 0.2752 high, signaling potential exhaustion in the upward move. A long-legged doji at $0.2703 highlighted indecision among buyers. The price retraced to the 61.8% Fibonacci level of the earlier bullish swing but failed to break higher, suggesting possible near-term consolidation.

Moving Averages
The 20-period and 50-period moving averages on the 15-minute chart were both above price action, indicating short-term bearish bias. On the daily chart, the 50/100/200 EMA lines remained in a descending order, reinforcing a medium-term downtrend. Price tested the 50-day MA at $0.269–0.270 multiple times, but failed to hold above it, suggesting bearish momentum could persist.

MACD & RSI
The RSI dipped below 40 for most of the session, signaling weak bullish momentum, and touched oversold levels (30) in the evening before rebounding. The MACD line remained negative with a narrowing histogram, indicating fading bearish pressure. However, the RSI divergence with price during the midday rally suggests caution may still be warranted.

Bollinger Bands
Volatility expanded significantly during the midday surge, with price reaching the upper band at $0.2752. This was followed by a contraction back to the center band, suggesting a loss of directional bias. The closing price at $0.2646 sat below the 20-period Bollinger Band mean, reinforcing the bearish tone.

Volume & Turnover
Volume surged in the early hours, especially around $0.270–0.275, but failed to support a follow-through in price. The highest volume bar (467,050.9) coincided with the high at $0.2752, but price subsequently retraced sharply without corresponding volume, hinting at a possible false breakout. Turnover was highest in the morning session, but diverged from the afternoon price action, indicating potential exhaustion.

Fibonacci Retracements
The 61.8% Fibonacci level of the 0.2589–0.2752 swing came in at $0.2632 and acted as a key pivot point. Price tested this level twice, but failed to hold above it, suggesting further retracement to the 38.2% level at $0.2666 or even lower is possible.

Backtest Hypothesis
The backtest evaluated a strategy based on RSI overbought signals and fixed stop-loss and exit levels. Despite a high RSI entry

(RSI > 70), the strategy underperformed with a total return of -57.3% and an average losing trade of -9.9%. The use of tight 5% stops led to frequent false signals in a volatile environment, and no winning trades were recorded under the tested parameters. This suggests that the strategy’s entry and exit rules may not be well suited to the erratic price behavior of LISTAUSDT. Relaxing entry thresholds, incorporating trend filters, or using adaptive stops such as ATR-based rules could improve outcomes. Further testing with refined parameters and additional momentum or volume filters is warranted.