Market Overview for Tether/Argentine Peso (USDTARS) – 2025-11-13

Generated by AI AgentTradeCipherReviewed byRodder Shi
Thursday, Nov 13, 2025 5:06 am ET2min read
Aime RobotAime Summary

- USDTARS surged to 1476.8 from 1467.4, consolidating near 1475.3 with strong volume at key resistance levels (1473.3–1476.3).

- MACD and RSI signaled overbought conditions above 1475.0, while Bollinger Bands contraction suggested imminent directional movement.

- A bearish divergence emerged after 22:00 ET as volume dropped despite elevated prices, indicating potential exhaustion at 1476.3.

- Fibonacci levels (1474.2–1475.7) and a backtest hypothesis highlight strategic value in testing resistance zone dynamics for predictive patterns.

• Price rose from 1467.4 to 1476.8 before consolidating near 1475.3.
• Strong volume surges appeared at key resistance levels (1473.3–1476.3).
• MACD and RSI show overbought conditions post 1475.0, suggesting potential pullback.
• Volatility expanded during 18:00–20:45 ET, with a drop-off afterward.
• Bollinger Bands show contraction, signaling possible directionality in the near term.

Tether/Argentine Peso (USDTARS) opened at 1467.4 at 12:00 ET − 1 and surged to a high of 1476.8 before closing at 1475.3 at 12:00 ET. Total volume over 24 hours reached 665,464.0 units, with turnover estimated at 963,642,850.0 ARA. The pair exhibited strong intraday momentum, with key resistance levels holding during consolidation phases.

Structure & Formations

Price found initial resistance at 1473.3, where a bullish engulfing pattern emerged, followed by a second wave to 1476.3. A doji formed around 1475.9–1476.1, suggesting indecision after a sharp move. A bearish divergence appears after this, with price pulling back slightly despite high volume, indicating potential exhaustion at this level.

Moving Averages

The 20-period and 50-period moving averages on the 15-minute chart crossed above the 1470.0 level, supporting a bullish bias. On a daily timeframe, the 50/100/200-period averages remained aligned above 1468.0, reinforcing the uptrend. Price remains above all major MAs, with no bearish crossover detected.

MACD & RSI

MACD crossed above the zero line and showed a positive divergence from 1473.3 to 1476.1, indicating strong momentum. RSI peaked above 75 during the 20:30–22:00 ET window, suggesting overbought conditions. A pullback below 1473.0 could trigger a bearish correction in RSI and MACD if supported by volume.

Bollinger Bands

Bollinger Bands expanded between 1468.0–1477.0 during the peak volatility window (18:00–20:45 ET), with price reaching the upper band. A contraction occurred after 22:00 ET, indicating a potential consolidation phase. Price is currently within the bands and may attempt a breakout in either direction.

Volume & Turnover

Volume surged during key resistance tests (1473.3–1476.3), with the largest spike at 1476.3 (74,576 volume). Turnover also spiked during this period, confirming the strength of the move. A divergence appeared after 22:00 ET as volume dropped but price remained elevated, signaling potential exhaustion.

Fibonacci Retracements

Applying Fibonacci to the 1467.4–1476.8 swing, key levels at 1474.2 (38.2%), 1475.0 (50%), and 1475.7 (61.8%) acted as support/resistance. The 61.8% level at 1475.7 held briefly but failed to sustain, leading to a small pullback. Further support may be expected around 1473.3–1474.1.

Backtest Hypothesis

Given the recent behavior of USDTARS, a backtest using a “resistance level” strategy could be valuable. A practical setup would involve using the 1473.3–1476.3 range as a dynamic resistance zone and testing price behavior when it touches or breaks this level. Using historical data from 2022 to 2025, this strategy could evaluate outcomes such as:- Return on investment (ROI) post-breakout- Win/loss ratio- Optimal holding periods- Volatility-adjusted performance

Such a test would help validate whether the observed price behavior is a pattern with predictive value or a one-off event. By using a rolling ATR-based resistance level or a fixed price range, the backtest could isolate the strategy’s robustness and adaptability to different market conditions.