FUNToken/Tether Market Overview for 2025-10-29

Generated by AI AgentTradeCipherReviewed byShunan Liu
Wednesday, Oct 29, 2025 8:26 pm ET2min read
Aime RobotAime Summary

- FUNUSDT fell 22.4% in 24 hours, breaking below 0.0033 amid high volatility and a sharp 9.8% swing.

- RSI signaled oversold conditions but weak volume, while Bollinger Band contraction preceded a bearish breakout.

- Fibonacci support at 0.00324 and a potential head-and-shoulders pattern reinforce near-term bearish bias.

- Death cross in moving averages and negative MACD confirm weak momentum, with volume surging during the selloff.

• Price declined by -22.4% over 24 hours, with a bearish breakdown below 0.0033.
• High volatility observed after 19:30 ET, with a -9.8% swing to 0.003307.
• RSI indicates oversold conditions, but volume has not confirmed strength.
• Bollinger Band contraction was followed by a sharp price drop, suggesting potential for further downside.
• Fibonacci support at 0.00324 may be key for near-term buyers.

FUNToken/Tether (FUNUSDT) opened at 0.003384 on October 28, 2025, at 12:00 ET, and closed at 0.003143 the following day. The 24-hour range was 0.00339 to 0.003104. Total volume reached 48,260,263.0, with notional turnover reflecting the extended price action. The market appears to be in a bearish correction phase following a sharp selloff.

Structure & Formations

Price action from 19:30 to 20:00 ET displayed a bearish breakdown, with a long lower shadow indicating rejection of higher bids. A key support level formed at 0.00324–0.00326 after multiple bounces, suggesting buyers may reenter near these levels. A potential head-and-shoulders pattern formed on the 15-minute chart, reinforcing the bearish bias for the near term.

Moving Averages

Short-term moving averages (20/50 periods) on the 15-minute chart are bearishly aligned, with the 50-period line crossing below the 20-period line (death cross). Daily moving averages (50/100/200) are also in a bearish configuration, with the 200-period line acting as a long-term resistance. Prices remain below all three, indicating a lack of near-term bullish momentum.

MACD & RSI

The RSI has dipped into oversold territory (below 30), but divergence exists between price and the indicator—price continues lower while RSI flattens. MACD is in negative territory with a bearish histogram, showing weak momentum. The combination suggests that while short-term bounces could occur, the broader trend remains bearish unless a strong reversal confirms.

Bollinger Bands

Bollinger Bands have tightened before the sharp drop in price from 0.00339 to 0.003307, suggesting a period of consolidation followed by a breakout to the downside. Prices closed near the lower band, indicating that volatility has expanded in a bearish direction. This suggests traders are expecting further downside.

Volume & Turnover

Volume spiked significantly during the 19:30–20:00 ET selloff, with over 22 million tokens traded in a 15-minute period. However, the price continued to fall, indicating weak conviction in the bounce attempts. Turnover confirmed the volume increase, particularly between 21:00 and 22:00 ET, when a -9.0% move occurred on strong selling pressure.

Fibonacci Retracements

On the daily chart, the 61.8% retracement level from the recent high at 0.00339 is now at 0.00324, a level that has acted as support on multiple occasions. On the 15-minute chart, the 50% retracement level was rejected on multiple attempts, reinforcing the bearish bias. A close below the 38.2% retracement level at 0.00321 could trigger further downside to the 0.00314 level.

Backtest Hypothesis

Given the recent RSI readings and the bearish divergence observed, a potential backtesting strategy could be based on RSI(14) levels as a proxy for entry and exit triggers. An RSI below 30 (oversold) might signal entry, while a close above 70 (overbought) could indicate exits. However, the data limitations for FUNUSDT must be considered—historical price data is available for this period, but without a more extended dataset, robust backtesting is not feasible. If additional data or a comparable symbol (e.g., a small-cap token with similar volatility) is sourced, the strategy could be refined and tested.