DeXe, JUST and Audiera Gain as Buyers Defend Key Crypto Support
DeXe (+8% to ~$20), JUST (+8% to ~$0.08) and Audiera (+13% to ~$1.60) rose as a crypto sell-off pushed major tokens lower; buyers defended Fibonacci retracements and trendlines.
DeXe, JUST and Audiera posted gains during the latest session while most major tokens fell in a broader market sell-off this week. Traders cited buyers defending key Fibonacci retracement levels and trendline support as prices stabilized.
DeXe (DEXE) traded near $20, up about 8% over 24 hours. The token reached a four-year closing high near $24 in February 2025 and has since retraced to the 0.786 Fibonacci level, around $19.40. Additional support levels appear near $15.60, $13 and $10, each tied to Fibonacci markers. Volume was lower during the recent advance, and the relative strength index moved above 70 after multiple high readings.
JUST (JST) changed hands near $0.08, up roughly 8% on the day. The token fell about 20% on June 3 during the market downturn and then bounced off an ascending trendline and the 0.382 Fibonacci retracement near $0.075. The 0.618 retracement level lies near $0.061 and can act as a lower support. Volume rose sharply on both the sell-off and the rebound, and the RSI moved down toward oversold levels before returning to neutral. Short-term upside levels noted on charts include $0.084 and $0.10.
Audiera (BEAT) traded close to $1.60, gaining about 13% over 24 hours. The token formed a rounded double-bottom base from January and broke out on May 22, reaching an initial target near $1.27. After a correction, BEAT extended higher and is now approaching a 0.382 Fibonacci level around $2, with a prior swing high at $2.43 as a further reference point. The recent rise in Audiera has been accompanied by increasing volume and an RSI that remains in bullish territory.
The wider market experienced a sharp downturn earlier in the week that drove most major tokens lower. Market participants are observing Fibonacci retracements, trendlines, volume patterns and RSI readings as reference points for potential support and resistance across these tokens.








