Market Overview for Flow/Tether (FLOWUSDT) on 2025-10-14

• Flow/Tether (FLOWUSDT) closed 24-hour session lower at 0.288, down from 0.306, amid rising bearish momentum.
• Price formed multiple bearish engulfing patterns, notably in the overnight session, confirming selling pressure.
• RSI entered oversold territory, while volume spiked during the downtrend, validating bearish continuation.
• Volatility expanded through Bollinger Bands as price drifted below 20-period SMA, signaling short-term weakness.
• Fibonacci retracement levels suggest potential support near 0.283–0.284, with resistance at 0.291–0.292 ahead.

24-Hour Summary

Flow/Tether (FLOWUSDT) opened at 0.306 on 2025-10-13 at 12:00 ET and reached a high of 0.307 before closing at 0.288 as of 12:00 ET on 2025-10-14. The pair traded between 0.279 and 0.307, reflecting a bearish bias throughout the session. Total volume amounted to approximately 3,247,523.04 USDT, with a notional turnover of around $929,323.52 (assuming $1 USDT = $1). Price action appears to have been driven by strong short-term selling pressure, particularly during overnight hours.

Structure & Formations

The 15-minute OHLC data revealed multiple bearish engulfing patterns, most notably in the early morning session (ET), where a candle opened at 0.305 and closed at 0.299 (16:00–16:15 ET 2025-10-13), followed by a larger bearish engulfing pattern from 0.305 to 0.302 (17:30–17:45). These patterns suggest a shift in momentum toward the bears. A large bearish engulfing pattern also appeared at 0.307 to 0.306 during the 12:00–12:15 ET session on 2025-10-14, reinforcing the bearish tone. No clear bullish reversal patterns emerged, though a doji appeared briefly around 0.307 (23:45–00:00 ET). Key support levels are forming near 0.283 and 0.290, while resistance remains at 0.305 and 0.307.

Moving Averages and Bollinger Bands

The 20-period and 50-period SMAs on the 15-minute chart both show downward drifts, with price consistently below both, indicating short-term bearish momentum. Bollinger Bands widened significantly during the overnight session, with the price drifting to the lower band by early morning (ET), signaling heightened volatility and bearish exhaustion. By the afternoon and evening (ET), the bands began to contract slightly, suggesting a potential pause in the move lower.

Momentum Indicators: MACD and RSI

The MACD crossed below the signal line in the early morning session, confirming bearish momentum. The histogram showed a steady divergence with price during the overnight decline. RSI dropped below 30, entering oversold territory, but failed to generate a bullish reversal—indicating continued bearish control. The lack of immediate RSI bounce suggests the bears may have more room to push price lower before a potential rebound occurs.

Volume and Turnover

Volume spiked during the overnight and early morning decline, with the largest 15-minute volume spike reaching 356,232.42 USDT (17:00–17:15 ET 2025-10-13). This volume increase confirmed the bearish move rather than contradicting it. Turnover closely followed volume trends, with little divergence observed. The overall increase in volume and turnover during the downtrend validates the bearish bias, rather than signaling a potential reversal.

Fibonacci Retracements

Applying Fibonacci retracements to the 24-hour high (0.307) and low (0.279), key levels include 0.291 (38.2%) and 0.283 (61.8%). Price tested the 61.8% retracement level around 0.283–0.284, where it found temporary support. A break below this level could target the 78.6% retracement at 0.276. On the 15-minute chart, retracements from the 0.307 high to the 0.294 low showed support at 0.300 and 0.296, both of which were tested but failed to hold.

Backtest Hypothesis

Given the appearance of multiple bearish engulfing patterns and the confirmation of these signals through volume and momentum indicators, a backtesting hypothesis could focus on identifying and acting on such patterns in FLOW-USDT. Since the data interface does not currently support crypto pairs for automated signal retrieval, a potential workaround is to manually input a list of “Bullish Engulfing” dates for FLOW-USDT if available. Alternatively, a full dataset of daily OHLC prices for FLOW-USDT since 2022 could be used to programmatically detect the pattern, enabling a backtest to assess profitability and risk-reward ratios associated with the strategy. If preferred, the strategy can also be applied to a supported asset, such as an ETF or equity, to streamline the backtesting process.