Synapse/USDC Market Overview for October 13, 2025

• Price action trended higher with a 0.078 to 0.0886 range
• Momentum picked up on late-day volume spikes
• 24-hour volume increased steadily post 20:00 ET
• Volatility expanded as price pushed above 0.083 key level
• RSI and MACD showed strong bullish momentum

SYNUSDC opened at 0.078 (12:00 ET – 1) and reached a high of 0.0886 before closing at 0.0866 (12:00 ET) on October 13. Total 24-hour volume amounted to 14,621,301.8 with a notional turnover of $1,241,967. The pair showed a strong rally late in the session with increasing bullish conviction in the final hours.

Structure & Formations

Price action exhibited a clear bullish trend over the 24-hour period, with a defined support level forming around 0.082 and resistance initially at 0.083 before breaking out further. A bullish engulfing pattern appeared around 22:00 ET (2025-1012 220000) as the candle opened at 0.0822 and closed at 0.0826 after a 0.0821 open. This was followed by a higher high and close in the following 15-minute intervals, indicating growing buying pressure. A key breakout occurred at 0.0836 as the price pushed through a prior resistance level.

Moving Averages

On the 15-minute chart, the 20-period moving average (SMA20) trended upward in line with the price, and the 50-period line followed closely behind. This convergence suggests a strong bullish trend. On the daily chart, the 50-period moving average is likely below the 100- and 200-period lines, indicating that while the pair is trending upward in the short term, longer-term support may still need confirmation above the 200-day average.

MACD & RSI

The MACD line crossed above the signal line just after 19:30 ET, confirming the beginning of a bullish momentum shift. RSI climbed from 45 to 68 by the close, suggesting strong buying pressure but not yet reaching overbought territory. The momentum appears to have accelerated in the final hours, which could mean the pair is either building toward a sustainable move or entering a short-term overbought phase that could trigger a pullback.

Bollinger Bands

Price action stayed within the upper Bollinger band for much of the day, particularly after 22:00 ET, showing that volatility was expanding. The 20-period Bollinger band width increased from 0.0008 to 0.0013 as the session progressed, reinforcing the idea of growing volatility. A breakout above the upper band at 0.0886 occurred in the final 15-minute candle, which could either confirm a bullish continuation or suggest the formation of a new resistance level.

Volume & Turnover

Volume increased sharply after 20:00 ET, peaking at 485,343.3 in the 11:00 ET candle (12:00 UTC). Notional turnover mirrored this, with the highest single 15-minute turnover of $42,301 occurring at the same time. The strong volume-to-price correlation supports the bullish thesis. A divergence occurred briefly at 21:30 ET when price pulled back to 0.0827 with low volume, but the subsequent rally quickly erased this as a potential false signal.

Fibonacci Retracements

Fibonacci retracement levels for the 15-minute swing from 0.0821 to 0.0886 show key levels at 38.2% (0.0849), 50% (0.0854), and 61.8% (0.0859). Price held above the 50% and 61.8% levels in the final hours, suggesting strong buying interest at these retracement levels. The daily swing from the previous day’s low to the current high also sees 61.8% around 0.0876, which may now act as support for the next 24 hours.

Backtest Hypothesis

Given the MACD and RSI signals observed today, a backtesting strategy using the MACD golden-cross (when the MACD line crosses above the signal line) could be applied to the Synapse/USDC pair over the past month. This would involve entering a long position on a bullish crossover and holding for a 5-day period to evaluate performance. While today’s data supports the idea of a short-term bullish trend, the effectiveness of this strategy would depend on consistent MACD and RSI signals across multiple timeframes. A 50/20 EMA crossover on the 15-minute chart could also be used as a confirmation filter for the MACD signal. The next step would be to apply this strategy to historical data and evaluate trade frequency, win rate, and risk-reward ratios.