Market Overview for Paris Saint-Germain Fan Token/Tether (PSGUSDT) - 24-Hour Analysis

• Price surged to 1.229 before retracting, ending near 1.143 amid subdued volume.
• Momentum indicators showed mixed signals, with RSI hovering around neutral levels and MACD lacking clear direction.
• Volatility expanded during a midday breakout attempt, followed by a consolidation phase in the evening session.
• Volume spiked during the early afternoon rally but failed to confirm a sustained trend.
• Key Fibonacci levels at 1.166 and 1.196 acted as psychological thresholds for buyers and sellers.

Paris Saint-Germain Fan Token/Tether (PSGUSDT) opened at 1.149 on 2025-10-31 16:00 ET and reached a high of 1.229 during the session. The pair closed at 1.143 as of 12:00 ET on 2025-11-01. Total 24-hour volume stood at 2,367,596.98 units, with a notional turnover of $2,732,301.00. The price action displayed an intraday breakout that failed to hold, signaling a lack of conviction in the bullish thesis.

Structure and formations indicate a key support area forming near 1.143–1.146, reinforced by multiple retests of this zone. A bearish engulfing pattern emerged in the early evening (17:00–17:15 ET) after a failed rally attempt. A doji candle at 22:30 ET further signaled indecision, followed by a pullback toward the 1.15 psychological level. Resistance is clustered around 1.166–1.168 and 1.186–1.188, both of which were tested and rejected during the day.

The 15-minute chart shows the 20-period moving average crossing above the 50-period line in the midday rally, suggesting a brief bullish bias. However, the 50-period line quickly reasserted as a resistance, leading to a reversion. On the daily chart, the 50-period and 200-period lines remain in a bearish alignment, with price currently trading below both. This suggests a broader downward trend persists despite intraday volatility.

MACD & RSI

MACD showed a weak positive divergence during the morning rally, peaking at a histogram high before declining sharply after 17:00 ET, signaling a breakdown in bullish momentum. RSI remained in the 45–55 range for much of the session, hovering around neutral levels with no clear overbought or oversold readings. The oscillator failed to cross above 60, indicating limited conviction behind bullish moves. In the latter half of the session, RSI dipped below 50, reflecting increasing bearish pressure.

Bollinger Bands expanded during the midday rally to a width of approximately 0.045, but the price closed near the lower band during the evening consolidation phase, suggesting a return to mean behavior. No sharp contraction was observed that would typically precede a breakout, indicating the market remains in a trading range rather than a buildup for a directional move.

Volume & Turnover

Notable volume spikes were observed during the midday breakout attempt, particularly in the 16:30–17:30 ET window, when total volume reached 740,287.7 units. However, volume declined sharply in the hours that followed, indicating a loss of follow-through buying. Turnover mirrored volume trends, with the highest turnover of $106,158.90 recorded in the 17:30 ET candle. Divergence between price and volume in the late afternoon suggests the move higher lacked confirmation, raising the likelihood of a short-term correction.

Fibonacci Retracements

Fibonacci retracements applied to the 1.143–1.229 swing show key levels at 1.166 (38.2%) and 1.196 (61.8%). The 1.166 level held firm in the late afternoon, preventing a deeper correction. However, the 1.196 level failed to hold during the 17:15 ET candle, signaling weak follow-through demand. On the daily chart, the 61.8% retracement of the broader downtrend is currently at 1.161, aligning with recent price consolidation. This area may serve as a near-term pivot point for buyers and sellers.

Backtest Hypothesis

Given the absence of automated technical indicator data for PSGUSDT, a manual backtesting approach is necessary to assess a potential strategy. The MACD Golden-Cross hypothesis—a popular entry method—could be evaluated by providing a list of historical Golden-Cross dates (in yyyyMMdd format). Once provided, we can perform an event-driven backtest to measure the average return and success rate of entering the market on these dates. This approach allows for a tailored analysis of the token’s responsiveness to momentum shifts, despite the limitations of the current data infrastructure.