Market Overview: ChainGPT/Tether (CGPTUSDT) – November 11, 2025

Generated by AI AgentAinvest Crypto Technical RadarReviewed byDavid Feng
Tuesday, Nov 11, 2025 7:34 pm ET2min read
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Aime RobotAime Summary

- ChainGPT/Tether (CGPTUSDT) traded between $0.0475–$0.05, with RSI near oversold 28 and elevated volume during rebounds.

- Bollinger Bands narrowed to 1.5%, indicating potential breakout, while 15-minute chart shows key support at $0.0482–0.0485 and resistance at $0.0490–0.0495.

- MACD shows negative divergence, and Fibonacci retracement aligns support at $0.0483 with 61.8% level, suggesting possible reversal if 38.2% ($0.0489) holds.

- Backtest of RSI-based strategy (2022–2025) showed -78.4% returns, highlighting risks of relying solely on RSI in volatile low-cap tokens like CGPT.


• Price action shows consolidation with a 24-hour high of $0.05 and low of $0.0475.
• RSI suggests oversold conditions, while volume remains elevated after a key rebound.
• Bollinger Bands show a moderate contraction, indicating potential for a breakout.

ChainGPT/Tether (CGPTUSDT) opened at $0.0487 on November 10, reached a high of $0.05, and closed at $0.0488 on November 11 at 12:00 ET. The pair traded within a $0.0025 range, with total trading volume of ~4.33 million contracts and notional turnover of ~$211,000. Price action over the past 24 hours reflects a tug-of-war between bearish pressure and short-covering rallies.

Structure on the 15-minute chart shows a key support level forming near $0.0482–0.0485 and a resistance cluster between $0.0490–0.0495. Notable candlestick patterns include a bullish engulfing pattern at $0.0485 and a bearish harami forming near $0.0495. The price appears to be consolidating in a descending triangle formation, with a potential breakout expected if volume spikes and sentiment clarifies.

The 20-period and 50-period moving averages on the 15-minute chart intersect at around $0.0487–0.0489, indicating a neutral to bearish bias in the short term. On the daily chart, the 50-period MA at $0.0490 and 200-period MA at $0.0486 suggest a potential support zone near the 50-period level. The price currently sits below the 20-period MA, signaling a weak trend unless buyers reassert control above $0.0490.

MACD on the 15-minute chart shows a negative divergence with price, suggesting momentumMMT-- may weaken further. RSI bottomed near 28, indicating short-term oversold conditions, but lacks strong bullish confirmation. Bollinger Bands have narrowed to a 1.5% range, hinting at a potential breakout or breakdown in the next 24 hours. Price remains within the bands, but proximity to the lower band suggests a short-term rebound may be due.

Volume and turnover were elevated during key rebound phases, particularly around $0.0485–0.0490, suggesting institutional or algorithmic activity. However, divergence appears in the latter half of the session, where price rose but volume declined, indicating waning bullish conviction. Notional turnover reached a daily peak of $21,000 during the 11:00–12:00 ET hour, highlighting a key point of accumulation.

Fibonacci retracement levels on the 15-minute chart show 38.2% at $0.0489 and 61.8% at $0.0483. The price appears to be consolidating near the 61.8% level, suggesting a potential reversal could occur if the 38.2% level holds. On the daily chart, the 61.8% retracement level at $0.0483 aligns with recent support, offering a potential near-term floor.

Backtest Hypothesis: The RSI Oversold Strategy tested on CGPTUSDT from 2022 to 2025 showed a cumulative return of –78.4% with a Sharpe ratio of –0.83, indicating poor risk-adjusted returns. These results underscore the limitations of a simple RSI-based system in volatile, low-cap tokens like CGPTCGPT--. For such assets, strategies may benefit from additional filters—such as trend-following moving averages or volume-based confirmations—to avoid being whipsawed in noisy price action. The current 15-minute RSI reading near 28 may appear oversold, but without a clear trend or volume confirmation, it may not be reliable for a long bias. Traders might consider incorporating tighter stop-loss rules or alternative indicators like OBV or VPT to better capture institutional sentiment.

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