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BTC $79,102.35 -2.63%
ETH $2,223.21 -3.03%
BNB $672.57 -0.89%
XRP $1.43 -3.95%
SOL $89.28 -3.31%
TRX $0.3519 -0.43%
DOGE $0.1136 -1.75%
ADA $0.2612 -3.73%
BCH $426.33 -2.29%
LINK $10.07 -4.23%
HYPE $44.17 -0.33%
AAVE $92.89 -5.84%
SUI $1.09 -7.80%
XLM $0.1544 -5.18%
ZEC $515.52 -7.72%

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Forward Industries' revenue increased by 319% year-on-year, but the impairment of SOL holdings dragged down performance, resulting in an expanded quarterly loss

Forward Industries, a Solana treasury company, announced its quarterly financial report for the period ending March 31, 2026, showing a year-on-year revenue increase of 319% to $13 million. However, due to the decline in the fair value of crypto assets, net losses widened to $283.1 million.The company stated that the growth this quarter was mainly driven by increased staking rewards from Solana (SOL). However, during the same period, it recorded a digital asset loss of $201.7 million and an asset impairment of $85.1 million, primarily due to the price volatility of SOL leading to a decrease in the valuation of holdings.The financial report indicated that the company held approximately 7.04 million SOL during the quarter and earned about 201,200 SOL in rewards through staking, with nearly all SOL assets being staked. Solana fell approximately 33.7% during the reporting period, closing at $82.44. Price volatility is considered the core factor dragging down financial performance.Additionally, Forward Industries signed a loan agreement with Galaxy Digital in March and drew the first tranche of $40 million in financing, using fwdSOL as collateral, with a comprehensive annual interest rate of about 3.4%. The company stated that this financing is used to optimize its liquidity structure.Company management indicated that they have adjusted the balance sheet through cost reductions, debt instruments, and stock buybacks to cope with market volatility and enhance long-term value. Despite a significant widening of quarterly losses, the company's stock price slightly declined in after-hours trading following the financial report, but it still recorded a monthly increase recently.

Data: CryptoQuant's Bitcoin bull-bear cycle indicator has turned green for the first time since 2023, analysts say the market may be entering an early bull market phase

The Bitcoin bull-bear cycle indicator from CryptoQuant has recently turned green for the first time since 2023. On-chain analyst Julio Moreno stated that this usually indicates the market is switching from a bear market structure to a recovery phase. Moreno pointed out that historically, when this indicator exits the bear market zone and enters the "Early Bull" range, it often means that the worst adjustment phase has ended and the market structure begins to repair. However, several analysts emphasize that this indicator is more suitable for judging market phase transitions rather than precise trading signals. Mati Greenspan, founder of Quantum Economics, stated that the greatest significance of such indicators lies in determining "whether Bitcoin has stopped behaving like a bear market asset," and real confirmation still requires sustained demand, improved liquidity, and prices stabilizing at key levels. Currently, Bitcoin has not effectively broken through the $82,000 resistance level. Although it has rebounded about 35% from a low of around $60,000 in February this year, the market remains in a tug-of-war state. Moreno believes that to truly confirm a bull market signal, Bitcoin needs to digest some current "weakness" indicators while facing pressure from a neutral greed-fear index and a complex macro environment. Arthur Hayes, co-founder of BitMEX and CIO of Maelstrom, believes that Bitcoin has completed a phase of bottoming around $60,000 this year. He stated that once it breaks through $90,000, the market may enter an "explosive phase," targeting the previous high of $126,000. Meanwhile, some analysts also remind that on-chain indicators like MVRV and NUPL are essentially more aligned with a "behavioral cycle framework" and should not be seen as absolute predictive tools.
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