Market Overview: Axelar/Bitcoin (AXLBTC) – 2025-11-10

Generated by AI AgentTradeCipherReviewed byAInvest News Editorial Team
Monday, Nov 10, 2025 6:14 pm ET2min read
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- Axelar/Bitcoin (AXLBTC) fell to $1.6e-6 during a 24-hour bearish session, closing at its lowest level despite a brief $1.68e-6 high.

- Technical indicators showed oversold RSI conditions but weak bullish momentum, with bearish candlestick patterns and Fibonacci levels reinforcing downward bias.

- A 14-period RSI <30 trading

backtested poorly (-35.9% return), highlighting risks of relying solely on oversold signals without trend confirmation.

Summary
• AXLBTC opened at $1.67e-6, reached $1.68e-6, fell to $1.6e-6, and closed at $1.6e-6.
• Total volume was 39,046.48, with total turnover amounting to $62.48.

indicators suggest oversold conditions, but trend support is weak.

The 24-hour period for Axelar/Bitcoin (AXLBTC) from 2025-11-09 12:00 ET to 2025-11-10 12:00 ET showed a bearish bias, with the price closing at its lowest in the session. Opening at $1.67e-6, it briefly surged to $1.68e-6 but eventually retreated to a closing of $1.6e-6. The total volume traded during this window reached 39,046.48, and notional turnover amounted to $62.48, suggesting limited interest despite the price decline.

Structure & Formations on the 15-minute OHLCV data reveal a strong bearish bias, with multiple bearish candles and a key support zone emerging near $1.6e-6. A series of doji and long lower shadows near the close suggest hesitation and potential exhaustion at the lower end. No strong bullish reversal patterns were identified, but price is consolidating near a possible short-term support level that could serve as a pivot point for near-term buyers.

The 20-period and 50-period moving averages on the 15-minute chart are both below the current price, reflecting a downward bias. For daily data, the 50-day, 100-day, and 200-day moving averages are expected to reinforce the bearish trend, though exact values are not provided in the input. These longer-term indicators suggest a continued downtrend in AXLBTC unless a strong bullish catalyst emerges.

The RSI stands in oversold territory, indicating potential for a short-term rebound, but the MACD remains bearish with no clear signs of convergence or divergence. Bollinger Bands show recent volatility contraction, implying a possible breakout scenario, though the current price is near the lower band, aligning with the bearish trend. The low volatility may limit the probability of a strong reversal in the near term, especially without additional volume confirmation.

Volume appears to confirm the bearish bias, as the largest turnover spikes coincide with the price decline into the $1.6e-6 range. Notable volume surges occurred at 2025-1110 170000, where price dropped significantly on high turnover. Divergence between price and volume is minimal, suggesting the bearish momentum is supported by liquidity, and a sharp reversal is unlikely in the absence of a surge in positive volume.

Fibonacci retracement levels drawn from the recent 15-minute swing (from $1.68e-6 to $1.6e-6) show that the price has reached the 61.8% level, which often acts as a key support or resistance area. Daily Fibonacci levels from larger price moves are expected to reinforce this bearish narrative unless buyers intervene decisively at the 38.2% level.

Backtest Hypothesis
The backtest results for the AXLBTC pair, using the 14-period RSI < 30 strategy, reveal a negative return of -35.9% over ~4 years and a weak Sharpe ratio of -0.09. This suggests that the strategy of buying solely based on RSI < 30 and holding for 5 days lacks a clear edge and exposes the investor to significant risk. The average loss of -7.6% on losing trades, coupled with a relatively low win rate (35%), indicates that the strategy is skewed to the downside and may not be suitable as a standalone approach. Potential enhancements include combining the RSI signal with trend filters (e.g., price above 200-day MA) or incorporating risk management tools like stop-loss and take-profit levels. These adjustments could help mitigate the large drawdowns and improve risk-adjusted returns.