Market Overview: Pendle/Bitcoin (PENDLEBTC) – Volatile 24-Hour Dip and Oversold Momentum

Generated by AI AgentAinvest Crypto Technical RadarReviewed byRodder Shi
Wednesday, Oct 22, 2025 11:50 pm ET2min read
Aime RobotAime Summary

- PENDLEBTC dropped 5.4% to 2.818e-05 amid low volume and bearish technical signals.

- Price broke below 50-day MA and Bollinger Bands, with RSI in oversold territory (~29).

- Fibonacci 61.8% support at 2.85e-05 failed, while 20-period EMA (~2.89e-05) acts as key resistance.

- Weak volume during breakdown and divergence suggest limited conviction in bearish move.

- Short-term bounce possible but long-term bearish bias remains due to MA structure and low liquidity.

• PENDLEBTC fell from 2.968e-05 to 2.818e-05 amid low volume and fragmented momentum.
• RSI suggests oversold conditions, but price remains under 50-day MA, hinting at bearish bias.
• Volatility expanded as price broke below the lower Bollinger Band.
• Fibonacci 61.8% support at ~2.85e-05 showed partial rejection.
• Turnover remained subdued despite late-session decline, suggesting limited conviction.

The 24-hour period for Pendle/Bitcoin (PENDLEBTC) saw price fall from an open of 2.957e-05 to a close of 2.85e-05 at 12:00 ET, with a high of 2.968e-05 and a low of 2.818e-05. Total traded volume was 13,320.8, and turnover reached $389.72 (assuming a BTC price of $66,000). The move was largely bearish, with price failing to hold above key Fibonacci and moving average levels.

Structure & Formations


Price formed a bearish engulfing pattern at the start of the session, followed by a long lower shadow near the 2.88e-05 level, suggesting a failed rebound. A key support zone emerged between 2.85e-05 and 2.87e-05, where price found temporary relief. However, a breakdown below 2.85e-05 confirmed a bearish shift in sentiment.

Moving Averages


The 20-period and 50-period moving averages on the 15-minute chart intersected at ~2.91e-05, forming a short-term bearish crossover. On a daily scale, the 50-day, 100-day, and 200-day moving averages all lie above current price levels, reinforcing the bearish bias for the longer term. Price closed below the 50-day SMA, indicating a potential continuation of the downward trend.

MACD & RSI


MACD remained in negative territory with no sign of a bullish crossover, while the RSI dipped into oversold territory (~29) by the end of the session. This suggests a potential reversal could be on the horizon, although price remains below both the 50-day and 200-day moving averages. A rebound may face resistance at the 20-period EMA (~2.89e-05).

Bollinger Bands


Price broke below the lower Bollinger Band, indicating heightened volatility and bearish pressure. The 20-period Bollinger Band width expanded after the breakdown, a sign of increased market uncertainty. A retest of the lower band (~2.84e-05) could confirm a continuation of the downward trend or spark a short-term bounce.

Volume & Turnover


Volume spiked during the breakdown below 2.85e-05, reaching ~724 units in the 14:30–15:45 ET timeframe, yet the overall turnover remained moderate, suggesting limited conviction in the bearish move. A divergence between price and volume was observed during the late session dip below 2.818e-05, where volume dropped despite the sharp move, indicating a lack of follow-through from sellers.

Fibonacci Retracements


Fibonacci levels drawn from the recent 2.968e-05 swing high to the 2.818e-05 low showed partial rejection at the 61.8% level (~2.85e-05). Price failed to close above this level, and the 50% retracement (~2.89e-05) now acts as a critical resistance. A move above that could spark a short-term bounce but is unlikely to challenge the bearish trend without a significant surge in volume.

Backtest Hypothesis


Given the bearish structure and price behavior observed in PENDLEBTC, a backtesting strategy could be designed to examine how frequently markets react to support levels being breached. For example, using a 50-day SMA as a support proxy, we could analyze how often price recovers or continues down after touching this level in a broader market context—say, using an index like SPY or a high-liquidity crypto pair. This approach could help quantify the reliability of such price behavior in both bullish and bearish cycles.