Qtum/Tether (QTUMUSDT) Market Overview

Tuesday, Oct 28, 2025 1:08 pm ET2min read
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Aime RobotAime Summary

- QTUMUSDT traded between $1.988 and $2.054, closing near $2.015 after volatile 24-hour consolidation.

- RSI indicated oversold conditions near $2.000 but failed to reverse, with Bollinger Bands showing moderate volatility.

- Key support at $2.008–$2.015 and resistance at $2.026–$2.030 highlighted, with MACD signaling bearish momentum post-19:00 ET.

- Volume remained consistent, but potential mean-reversion strategies suggest monitoring 20-period MA and Bollinger Bands for entry/exit triggers.

• QTUMUSDT opened at $2.028, surged to $2.054, pulled back to $1.988, and closed near $2.015.
• Volatility expanded after 18:00 ET with a 5-hour range of $2.056–$1.991.
• RSI likely oversold around $1.995–$2.000 but failed to confirm a strong reversal.
• Bollinger Bands showed a modest expansion, with price closing near the middle band.
• Volume remained consistent, with no divergences observed between price and turnover.

Opening and Closing Range

At 12:00 ET on October 27, 2025, Qtum/Tether (QTUMUSDT) opened at $2.028 and traded within a 24-hour range of $1.988 to $2.054, closing at $2.015 as of 12:00 ET on October 28. Total volume was 195,884.2 units, with notional turnover reaching $409,956. The price action reflected choppy midday consolidation followed by a late morning breakout attempt and a prolonged bearish correction.

Structure & Formations

The 15-minute chart displayed a series of bullish engulfing patterns between 16:00 and 17:00 ET, indicating short-term buying pressure. However, this was followed by a long upper shadow and a bearish harami pattern around 19:30 ET, signaling indecision and bearish consolidation. Key support levels appear to be forming around $2.008–$2.015, with resistance lingering at $2.026–$2.030. A doji near the 18:00 ET time frame suggests potential exhaustion of short-term bearish momentum.

Volatility and Bollinger Bands

Volatility expanded significantly after 18:00 ET, with price moving between the upper and lower Bollinger Bands for over 5 hours. By the final 6 hours of the window, volatility compressed slightly, with the price settling near the middle band at $2.015. The band width suggests moderate uncertainty in the market, with no strong directional bias emerging.

Moving Averages and Fibonacci Retracements

Short-term momentum, as captured by the 20 and 50-period moving averages on the 15-minute chart, remained bearish after 19:00 ET, with the 50-period line crossing below the 20-period line. Fibonacci retracement levels identified key areas of interest, particularly the 61.8% retracement at $2.009 and the 38.2% at $2.018, both of which saw price bounce and consolidate during the late evening and early morning trading hours.

Momentum and MACD

The MACD line turned bearish after 19:00 ET, indicating a sell-off in momentum. The histogram showed a widening negative divergence between 21:00 ET and 01:00 ET, which coincided with a sharp pullback to $1.995. This suggests that the bearish phase may have some room to extend, but the histogram has started to flatten, hinting at potential exhaustion in the short term.

Backtest Hypothesis
While the RSI data for the broader historical range could not be retrieved, the 15-minute chart suggests that QTUMUSDT may have touched oversold conditions around $1.995–$2.000 in the late evening, though it failed to reverse decisively. If RSI data becomes accessible, a backtest could be designed to test entries on RSI < 30 with a 1-hour reversal setup. Alternatively, a mean-reversion strategy could be explored using a 20-period moving average and Bollinger Bands as entry/exit triggers, with stop-losses placed at key support levels identified during the 24-hour window.

Forward-Looking View and Risk Note
Looking ahead, QTUMUSDT may test the $2.008–$2.015 support zone, with a potential bounce expected if the 61.8% Fibonacci level holds. A breakout above $2.026 could reignite bullish momentum, but bearish consolidation remains a risk. Investors should monitor volume divergence and key moving average crossovers for confirmation of trend strength.

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