RedStone/Tether (REDUSDT) Market Overview

Generated by AI AgentAinvest Crypto Technical Radar
Thursday, Sep 18, 2025 6:59 pm ET2min read
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Aime RobotAime Summary

- REDUSDT rose to 0.5825, breaking key resistance twice amid increased volatility and volume spikes.

- RSI hit overbought levels at 0.5924 before retreating, signaling potential short-term consolidation.

- A backtest strategy yielded 0.14% gains on a breakout trade, highlighting active buyer interest.

- Price held above 38.2% Fibonacci level at 0.5820, suggesting buyers control near-term direction.

- MACD flattening and declining volume at highs indicate waning momentum despite bullish patterns.

• RedStone/Tether (REDUSDT) edged higher over 24 hours, closing at 0.5825 after a low of 0.5582 and high of 0.5924.
• Price broke through key resistance levels twice during the day, suggesting growing bullish momentum.
• Volatility expanded as BollingerBINI-- Bands widened, with volume spiking near 0.5825 and 0.5913.
• RSI signaled overbought conditions near 0.5924, followed by a pullback, indicating potential short-term consolidation.
• Notional turnover totaled $2,267,184.60, with the largest single 15-minute candle contributing nearly 9% of the total volume.

Price Action and Initial Metrics

RedStone/Tether (REDUSDT) opened at 0.5623 on 2025-09-17 12:00 ET and closed at 0.5825 by 2025-09-18 12:00 ET. The pair reached an intraday high of 0.5924 and a low of 0.5582 during the period. The 24-hour volume amounted to 1,482,257.5 units, with a total notional turnover of $2,267,184.60. The price action shows a clear bullish bias, with several strong breakout attempts and consolidation moves.

Structure & Formations

Price formed a bullish engulfing pattern around 2025-09-17 16:15 ET, which followed a prior bearish reversal at 0.5621. A strong bearish divergence was evident at 0.5924, where RSI peaked while volume declined, hinting at potential short-term profit-taking. A key resistance zone appears to form around 0.5900–0.5925, with previous support now acting as resistance. A strong bounce from 0.5800–0.5820 suggests that this area is consolidating as a new baseline.

Moving Averages and Momentum Indicators

On the 15-minute chart, the 20-period and 50-period moving averages crossed into bullish territory around 2025-09-17 19:00 ET, supporting the upward trend. RSI fluctuated between overbought and neutral levels, peaking at 73 before retreating to 58 by the close. MACD showed a narrowing histogram and a flattening line, suggesting that momentum may be slowing. This could indicate a potential pause or consolidation phase ahead.

Volatility and Volume Analysis

Bollinger Bands widened significantly between 0.5800 and 0.5924, indicating a period of heightened volatility. Price spent a large portion of the 24-hour period outside the upper band, particularly during the peak around 0.5924. Volume spiked during key price movements, especially around 0.5825 and 0.5913, but fell off near the overbought high. This suggests strong accumulation but also potential exhaustion at recent highs.

Fibonacci and Key Levels

Fibonacci retracement levels based on the swing high at 0.5924 and the swing low at 0.5582 show 0.5820–0.5825 as the 38.2% retracement level and 0.5710 as the 61.8% level. Price held above the 38.2% level for most of the 24-hour period, suggesting that buyers remain in control. A breakdown below 0.5800 could trigger a test of the 61.8% level and potentially a broader correction.

Backtest Hypothesis

The backtest strategy described involves entering long positions on breakout above the 15-minute Bollinger Band upper channel, provided RSI is above 50 and volume is increasing. A stop-loss is placed below the 20-period moving average, and a take-profit is set at 1.5 times the average true range (ATR). Over the last 24 hours, this strategy would have triggered a long entry at 0.5906 on 2025-09-18 03:45 ET, with a stop-loss at 0.5895 and a take-profit at 0.5934. The trade would have closed at 0.5913, yielding a modest 0.14% gain. The strategy appears to align well with the observed breakout and pullback behavior, though frequent filtering for high volume is necessary to avoid false signals.

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