Market Overview for DODO/Tether (DODOUSDT): October 14, 2025

• DODOUSDT traded in a tight range with mixed candlestick patterns and low volatility in the 24-hour period
• Price remained below the 0.0374 resistance level but held above key support at 0.0362
• Volume increased in the early morning, but turnover failed to confirm strong momentum
• MACD showed neutral momentum, while RSI edged into overbought territory briefly
• Bollinger Bands contracted in the late session, suggesting potential for a breakout

DODO/Tether (DODOUSDT) opened at $0.0363 on October 13, 12:00 ET, and closed at $0.0357 on October 14, 12:00 ET, with a high of $0.0383 and a low of $0.0340 over the 24-hour period. The pair traded with a total volume of 6.24 million tokens and a notional turnover of $215,000 during the same period. Price action reflected a volatile but indecisive session.

Structure & Formations

The 15-minute chart displayed a series of bearish and bullish reversals, with notable patterns such as a small bearish engulfing pattern forming near $0.0377 in the early evening. However, it failed to hold above this level, leading to a gradual decline. A key support level at $0.0362 and a resistance level at $0.0374 were clearly defined, with the price failing to break above the latter. A doji formed near $0.0364 late in the session, indicating indecision and the potential for a consolidation phase.

Moving Averages

On the 15-minute chart, the 20-period and 50-period moving averages were closely aligned in the mid-range of the session, suggesting a neutral bias. The price spent most of the session below the 50-period MA, indicating bearish momentum. On the daily chart, the 50-period and 200-period moving averages are not available for this time frame, limiting the ability to assess longer-term trends.

MACD & RSI

The MACD histogram showed a neutral profile with no strong bearish or bullish divergences during the session. RSI reached a high of 65 near $0.0383, indicating a brief overbought condition, but failed to sustain it. By the close, RSI had dropped to 51, signaling a return to neutral territory. This suggests that momentum was mixed, with no clear direction for the near term.

Bollinger Bands

Bollinger Bands tightened in the last few hours of the session, indicating a potential contraction in volatility. Price action remained within the upper and lower bands for most of the session, with the final hour showing a slight move toward the upper band. This tightening could suggest a breakout or continuation of the current range in the next 24 hours.

Volume & Turnover

Volume increased sharply in the early morning hours, particularly between 03:00 and 06:00 ET, as price moved lower toward $0.0350. However, turnover did not rise proportionally, suggesting that the move was driven by smaller, fragmented trades rather than large institutional buying or selling. The volume pattern was bearish in the early morning but neutralized by midday.

Fibonacci Retracements

Applying Fibonacci levels to the recent swing high of $0.0383 and the low of $0.0362, key retracement levels were identified. The 38.2% level at $0.0375 and the 61.8% level at $0.0366 were clearly defined on the 15-minute chart. Price bounced from the 61.8% level during the morning session but failed to hold above the 38.2% level, reinforcing the bearish bias.

Backtest Hypothesis

A potential backtesting strategy for DODOUSDT involves identifying bearish engulfing patterns on the 15-minute chart as a sell signal. This pattern typically forms after a bullish candle is followed by a larger bearish candle that fully engulfs the previous session’s range. However, our technical indicator service returned an internal server error when attempting to retrieve historical bearish engulfing signals. Options for moving forward include retrying the query with an alternative format (e.g., using the pattern code bearish_engulfing), splitting the time range into smaller blocks, or switching to local pattern detection using the raw 1-day OHLCV data. Each approach has its trade-offs in speed and accuracy, but resolving this data gap will allow for a robust backtesting framework.