Market Overview for Paris Saint-Germain Fan Token/Tether (PSGUSDT)

• Price climbed from 1.604 to 1.643 amid rising volume and bullish momentum.
• Key resistance at 1.64 and 1.635 tested during consolidation.
• RSI near overbought 70 and MACD positive divergence noted.
• Volatility expanded as price traded within Bollinger Band upper range.
• Downturns observed in later ET hours with bearish reversal patterns.

Paris Saint-Germain Fan Token/Tether (PSGUSDT) opened at 1.604 on 2025-09-17 at 12:00 ET and closed at 1.634 on 2025-09-18 at 12:00 ET. The 24-hour high reached 1.644, and the low hit 1.602. Total volume for the 24-hour window was 98,378.60, and total turnover (notional value) was 159,743.23.

Structure & Formations

The price structure revealed a clear bullish trend early in the session with a strong move from 1.604 to 1.634. The 1.634 level acted as a minor support, especially around 03:00 ET and 06:00 ET. A key resistance appears at 1.64 and 1.644, with the latter being tested twice, including a bullish engulfing pattern at 05:00 ET. A bearish evening star was visible at 09:30 ET as the price declined from 1.639 to 1.633. A doji formed at 08:30 ET, indicating indecision, while a long lower shadow at 08:00 ET showed buyers attempting to reclaim control after a dip.

Moving Averages

On the 15-minute chart, the 20-period and 50-period moving averages both trended upwards during the morning hours, indicating a bullish bias. However, by the late ET afternoon, the 50-period SMA began to flatten slightly while the 20-period SMA dipped below it, signaling early bearish pressure. On the daily chart, the 50, 100, and 200-period moving averages were in a near-sideways configuration, suggesting that the broader-term trend remains neutral to bullish.

MACD & RSI

The MACD showed a positive divergence from 04:00 to 08:00 ET, reinforcing the bullish momentum, while the histogram peaked at 05:00 ET. After 08:00 ET, the histogram started to shrink, aligning with a pullback in price. The RSI moved into overbought territory (above 70) at 05:15 ET and 06:00 ET but failed to close above 72. By 09:30 ET, RSI dipped below 65, signaling potential exhaustion and a possible bearish correction ahead.

Bollinger Bands

Volatility expanded significantly in the early ET hours, with the upper Bollinger Band reaching 1.645 and the lower band at 1.615. The price remained within the upper third of the band for much of the session, indicating heightened bullish sentiment. A contraction occurred briefly at 08:00 ET, suggesting a temporary pause in momentum. Price tested the upper band at 05:15 ET and 06:00 ET without breaking through, suggesting resistance held firm.

Volume & Turnover

Volume remained strong during the morning hours, peaking at 10596.84 at 09:30 ET, followed by a pullback. Turnover increased alongside this volume surge, confirming the price action. However, after 09:30 ET, both volume and turnover declined, with price forming a bearish reversal pattern and closing below the 1.635 level. A divergence between price and volume appeared in the late ET hours, with volume declining despite a modest rebound in price—raising questions about the strength of the bullish move.

Fibonacci Retracements

Using the key swing from 1.602 to 1.644, the 38.2% and 61.8% retracement levels correspond to 1.630 and 1.619, respectively. The price tested 1.630 multiple times during the afternoon and early night hours before finding support at 1.635, which is just above the 61.8% level. This suggests that the 1.635 area has emerged as a new short-term support level, possibly replacing the original 1.619 level. The 1.644 high remains a key resistance.

Backtest Hypothesis

Given the observed support and resistance levels, a potential backtesting strategy could involve a breakout approach using the 1.635 support and 1.644 resistance. A long signal could be triggered if price closes above 1.644 on a 15-minute candle, with a stop-loss placed below 1.635. Conversely, a short signal could be activated on a close below 1.635, with a stop-loss above 1.644. Using the MACD histogram and RSI divergence as filters could improve the signal-to-noise ratio. Historical performance of such a strategy would need to be analyzed for consistency in volatility and volume conditions similar to the current session.