Quant/Bitcoin Market Overview for 2025-10-27

• Price declined sharply from 0.0007426 to 0.0007131 within the 24-hour window.
• Momentum weakened, with RSI trending lower and MACD turning bearish.
• Volatility increased as price tested key support levels late in the session.
• Volume surged during the late-night sell-off, suggesting strong bearish conviction.
• No clear reversal patterns emerged, with bearish control dominating the session.

The 24-hour session for Quant/Bitcoin (QNTBTC) opened at 0.0007422 at 12:00 ET – 1 and reached a high of 0.0007452 before closing at 0.0007248 at 12:00 ET. The pair traded as low as 0.0007131, marking a sharp bearish trend. Total volume amounted to 154.699, with a notional turnover of $112.40 (based on BTC price). The price action shows bearish exhaustion and key support testing near 0.00072.

Structure & Formations

The candlestick pattern was overwhelmingly bearish, with several bearish engulfing patterns forming during the late-night to early-morning hours. A notable breakdown occurred from 0.0007426 to 0.0007248 after failed attempts to retest key resistance levels. The price found temporary support at 0.000725 and 0.000723 but failed to generate bullish follow-through. A bearish piercing line and a long lower shadow were evident during the final hours of the session, signaling potential capitulation or consolidation at the lower end.

Moving Averages

On the 15-minute chart, the 20-period and 50-period moving averages both trended lower, confirming the bearish bias. The price remained below both lines for the duration of the session. On the daily timeframe, while the 50- and 100-period MAs were not provided, the 200-day MA appears to act as a critical psychological level for potential rebounds or breakouts in the near term.

MACD & RSI

MACD turned bearish as the histogram crossed below zero, with a declining trend in momentum. RSI dipped below 40, indicating weakening bullish pressure. A reading near 30 suggests the pair may be approaching oversold territory, but the absence of a bullish divergence or a reversal pattern suggests caution. The bearish momentum is likely to persist unless there’s a strong and sustained rebound.

Bollinger Bands

Volatility expanded during the late-night sell-off, with the price touching the lower Bollinger Band at 0.0007131. The bands had previously been relatively narrow, indicating a period of consolidation before the sharp selloff. The widening bands suggest a breakout scenario has been triggered, with price likely to remain within the lower half of the band unless there's a strong reversal.

Volume & Turnover

Volume increased significantly during the late-night to early-morning hours, coinciding with the sharp decline in price. This indicates strong bearish conviction and a potential exhaustion of short-term bullish buyers. Turnover also spiked during the same period, confirming the price action. The volume divergence suggests that bearish control is likely to continue unless there's a surge in bullish buying pressure.

Fibonacci Retracements

Applying Fibonacci to the key 15-minute swing from 0.0007426 to 0.0007131 shows that the price has tested the 61.8% level at 0.000725 and currently hovers just below it. If the price fails to close above 0.000725, the 50% retracement at 0.000728 could be the next potential support. On the daily chart, if the recent low of 0.0007131 is confirmed as a new swing low, the next Fibonacci level to watch is the 38.2% retracement at 0.000728.

Backtest Hypothesis

Given the strong bearish control and the presence of bearish engulfing patterns, a short-selling strategy based on bearish candlestick signals could be a viable approach for QNTBTC. A potential backtest would look to enter a short position on confirmation of a bearish engulfing pattern or a breakdown below key support levels, with a stop-loss above the recent high and a take-profit at the next Fibonacci retracement level. However, without the correct trading symbol or signal dates, the backtest cannot be executed at this time. Once confirmed, the system will be able to calculate performance metrics from 2022-01-01 to today.