Market Overview for Blur/Tether (BLURUSDT) on 2025-11-09

Generated by AI AgentTradeCipherReviewed byAInvest News Editorial Team
Sunday, Nov 9, 2025 10:09 pm ET2min read
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- BLURUSDT traded between $0.0454 and $0.04791, failing to break above $0.0475 with bearish reversal candles.

- Volume spiked at key levels, confirming bearish pressure after resistance rejection at $0.0475.

- MACD turned negative while RSI (45-48) signaled oversold conditions, reinforcing short-term bearish bias.

- Bollinger Bands showed expanded volatility, with price near mid-band ($0.0465) and critical support at $0.0451.

- Fibonacci levels (38.2% at $0.0464) failed to hold, suggesting potential decline to $0.0454 if $0.0464 breaks.

Summary
• Price consolidated between $0.0454 and $0.0475 with a 24-hour high of $0.04791 and a low of $0.04506.
• A bullish breakout attempt stalled near $0.0475, followed by bearish reversal candles in the late session.
• Volume surged near key levels, with turnover confirming bearish pressure after $0.0475.

Opening Summary


At 12:00 ET–1, BLURUSDT opened at $0.04644 and reached a high of $0.04791 before closing at $0.04599 at 12:00 ET. The 24-hour range was $0.04506 to $0.04791. Total volume was 18.8 million , with a notional turnover of $882,590.

Structure & Formations


The price tested a key resistance level near $0.0475 during the late Eastern session, forming a bearish engulfing candle at $0.0475–$0.04735, suggesting rejection of the breakout. Earlier in the day, a bullish harami pattern at $0.0464–$0.0467 indicated indecision. The price may now consolidate or face further selling pressure if support at $0.0455–$0.0460 breaks.

Moving Averages


On the 15-minute chart, price closed just below the 20-period and 50-period moving averages, currently at $0.0463 and $0.0465 respectively, indicating short-term bearish bias. Daily averages (50/100/200) sit at $0.0464, $0.0462, and $0.0461, with price above all three, suggesting mixed signals. A breakdown below $0.0462 could reinforce bearish .

MACD & RSI


The MACD histogram has turned negative, indicating bearish momentum, while the RSI has fallen to 45–48, suggesting oversold conditions. However, the RSI did not enter overbought territory above 70 during the rally, and the bearish divergence in MACD could foreshadow further declines. A rebound from 45 may see traders test $0.0465, but bearish bias remains strong.

Bollinger Bands


Price action spent a significant portion of the 24-hour window within the Bollinger Bands, with the volatility expanding after the $0.0475 attempt. The bands are now at $0.0479 (upper), $0.0465 (mid), and $0.0451 (lower), with price hovering near the mid-band. A break below $0.0451 could trigger a rapid decline.

Volume & Turnover


Volume was most active during the 19:00–20:00 ET (UTC-5) session, with a peak of 1.1 million BLUR traded as the price surged to $0.0472. The highest notional turnover occurred during the $0.0475–$0.04735 bearish candle, suggesting institutional selling. Volume during the recent consolidation phase has remained moderate, signaling a lack of strong directional conviction.

Fibonacci Retracements


Applying Fibonacci levels to the most recent swing from $0.04506 to $0.04791, the 38.2% level sits at $0.0464 and the 61.8% at $0.0466. Price has tested both levels but failed to hold above them, suggesting that the 50% level at $0.0465 may act as a pivot. If support holds, a retest of $0.0475 could follow; a breakdown below $0.0464 may extend the decline to the 38.2% level at $0.0454.

Backtest Hypothesis


Given the short history of BLURUSDT, a backtest using RSI (14-period) can be initiated from its first week of trading in February 2023. Using the conventional overbought threshold of 70 and a 5-day short-holding rule, the strategy would look to capture momentum shifts in a highly volatile market. The recent bearish reversal and RSI dip below 50 align with this approach, indicating potential for a mean-reversion trade. However, given the fast-moving nature of the token, a tighter stop-loss or shorter holding period may be needed to optimize risk-adjusted returns.

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