Market Overview for Sahara AI/Tether (SAHARAUSDT): October 24, 2025

Friday, Oct 24, 2025 11:26 pm ET2min read
Aime RobotAime Summary

- Sahara AI/Tether (SAHARAUSDT) surged 4.7% over 24 hours, breaking above upper Bollinger Band with strong bullish momentum.

- Key resistance at 0.08063 (daily high) and support near 0.0785-0.0788 identified, with RSI at 58.2 indicating moderate buying pressure.

- Volume spiked 245% at 2:45 AM ET during breakout, confirming institutional buying as price consolidated mid-day with a doji formation.

- 20-period MA crossover above 50-period MA and 61.8% Fibonacci alignment at 0.0802 suggest continued bullish bias for near-term traders.

• Price rose from 0.07631 to 0.07992 with 24-h high at 0.08063, closing at 0.07992
• RSI reached 58.2, indicating moderate momentum with no overbought/oversold signals
• Volatility expanded during 3–6 AM ET as price moved within upper Bollinger Band
• Volume surged at 2:45 AM ET with a large bullish candle, confirming buying pressure
• Key resistance appears at 0.08063 (daily high), while support is near 0.0785–0.0788

The Sahara AI/Tether (SAHARAUSDT) pair opened at 0.07631 on October 23 at 12:00 ET and closed at 0.07992 on October 24 at the same time. The 24-hour high and low were 0.08063 and 0.07615, respectively. Total volume for the period was 59,753,496.0, while notional turnover amounted to approximately $4,571,161. Price action showed a clear bullish trend, particularly during early morning hours, with a breakout above the upper Bollinger Band and a strong bullish candle confirming buying interest.

Structure & Formations

The 24-hour chart displayed a well-defined bullish bias, with several small bullish engulfing patterns visible between 4:30 AM and 5:45 AM ET. A key breakout occurred at 4:45 AM ET, where SAHARAUSDT surged past the 0.0800 level. Resistance appears to be forming at 0.08063 (the daily high), while the 0.0785–0.0788 cluster acts as a potential support zone. A doji formed around 12:45 PM ET, hinting at a possible consolidation phase.

Moving Averages and Volatility

Using the 20-period and 50-period moving averages on the 15-minute chart, SAHARAUSDT remained above both indicators for most of the 24-hour period, indicating strong momentum. The 20-period MA crossed above the 50-period MA around 2:45 AM ET, signaling a potential bullish crossover. Bollinger Band volatility expanded during the early morning hours, with price pushing to the upper band at 4:45 AM before consolidating mid-day.

Momentum and Fibonacci Levels

The RSI remained within the 50–60 range for the majority of the day, indicating moderate bullish momentum with no signs of overbought conditions. MACD remained positive with a narrowing histogram, suggesting that the buying pressure may be moderating. Fibonacci retracement levels showed that the 61.8% level aligned with the 0.0802 region, which was briefly touched during the morning breakout.

Volume and Turnover Analysis

Volume spiked significantly around 2:45 AM ET, coinciding with the key bullish breakout. Notional turnover also rose sharply during this time, confirming the volume-based strength. A divergence between volume and price occurred during the 12:45–1:45 PM ET period, where volume declined despite a slight price pullback. This may signal a potential reversal or consolidation phase.

Backtest Hypothesis

A potential backtesting strategy involves scanning for “Bullish Engulfing” patterns using 15-minute OHLCV data for SAHARAUSDT. Given the recent formation of such patterns during the early morning hours, a backtest could involve entering long positions on confirmation of the engulfing pattern and holding for a 3-day period to assess profitability. However, the data source currently does not recognize the symbol “SAHARAUSDT,” indicating a potential issue with the symbol’s availability or correct format. To proceed, the symbol’s trading venue (e.g., Binance, KuCoin) should be confirmed, or the raw OHLCV data could be manually processed and used to algorithmically detect the pattern. Once confirmed, a more accurate backtest can be executed, potentially offering insights into the strategy’s viability over a longer time frame.