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Analyst: The Bitcoin bull market may have started, with multiple technical indicators signaling a bottom

Cryptocurrency analyst Ai posted on the X platform that multiple technical indicators at the monthly level for Bitcoin are releasing bullish signals, suggesting that the current market may have formed a macro bottom. Data shows that the TD Sequential indicator triggered a buy signal on the Bitcoin monthly chart last month. This indicator previously successfully identified the bottom of the bear market in 2022 and is now showing a similar signal again. Additionally, Bitcoin's current price is close to the 50-month simple moving average (SMA). Historical data indicates that since 2014, this long-term moving average has repeatedly become an important support area for Bitcoin and corresponds with multiple market bottoms.Meanwhile, the Chande Momentum Oscillator (CMO) has fallen back to around -71. The last time this indicator reached a similar level was in June of this year, when Bitcoin's price briefly dropped to $57,000. Historically, extreme low levels of CMO often coincide with market bottom areas. Analysts believe that Bitcoin may still oscillate in the range of $60,000 to $67,000 in the short term, but the TD Sequential buy signal, 50-month moving average support, and CMO oversold condition together indicate that a long-term cycle bottom may have formed. The market will focus on whether subsequent prices can break through the oscillation range to confirm a new upward trend.

Analyst: Bitcoin's volatility has dropped to historical support levels, and we need to be wary of the hidden risk of severe fluctuations

According to CoinDesk, Bitcoin's implied volatility on the 30th fell to a long-term support level of 36%, with the price maintaining a narrow range below $65,000. Adam Haeems, head of asset management at Tesseract Group, reminded that a low-volatility environment will lower trading costs, thereby encouraging traders to establish large directional bets and hedge positions; once the market breaks through key price levels, the passive hedging behavior of market makers will amplify market fluctuations, driving a mean-reversion rebound in volatility.On the market sentiment front, Paul-Howard, Senior Director at Wincent, stated that the current demand for put options has significantly cooled, but there is also a lack of buying interest for call options. Glassnode summarized this state as "there is neither capital to buy into the rise nor capital to buy into the fall," believing that this phenomenon often represents the market nearing a cyclical bottom. The divergence in the trends of Dogecoin and Bitcoin also indirectly reflects the continued low speculative sentiment.Howard believes that favorable regulatory advances like the Clarity Act, which drive institutional ETF capital inflows, may become an important catalyst for the next round of market movements; while the failure of negotiations in the Strait of Hormuz and inflation exceeding expectations pose major downside risks.

hot_img Analyst: OpenAI and Anthropic may account for over 70% of the AI revenue of the three major cloud vendors, highlighting the concentrated risk in data center investments

According to technology analyst Ed Zitron, citing estimates from institutions such as Barclays, UBS, and Wells Fargo, Microsoft, Google, and Amazon, the three major cloud providers, may see over 70% of their AI revenue coming from OpenAI and Anthropic. Specifically, Barclays analyst Ross Sandler estimates that about 73% of Amazon AWS's AI revenue in 2026 will come from these two companies; UBS analyst Stephen Ju estimates that approximately 28% of Google Cloud's revenue in 2026 and over 48% in 2027 will come from them; Wells Fargo estimates that about 23% of Microsoft Azure's revenue in FY2026 and about 35% in FY2027 will come from these two AI labs.The analysis indicates that AWS's AI revenue in 2026, excluding OpenAI/Anthropic, is expected to be only about 8.5 billion dollars, while Amazon's capital expenditure for that year is expected to reach 220 billion dollars. Google's Vertex AI platform revenue in 2026 is expected to be about 28.3 billion dollars, but during the same period, the computing power expenditure for OpenAI and Anthropic is expected to exceed 35.6 billion dollars. Microsoft's AI revenue in FY2026 is about 34.5 billion dollars, with capital expenditure during the same period of about 115.9 billion dollars. This analysis has raised market concerns about the overbuilding of AI data centers and the sustainability of demand, questioning whether the three major cloud providers should disclose customer revenue concentration risks more transparently. Currently, Microsoft, Google, and Amazon have not publicly responded to this.

Bitget CFD Chief Analyst: Non-farm payrolls will test the resilience of the U.S. economy, and the dollar and gold may face directional choices

Bitget CFD Chief Analyst Lewis Huang pointed out in a live broadcast that this week's market focus has shifted from tech stock earnings reports back to U.S. employment data and Fed policy expectations.The key to this non-farm report is not just the number of new jobs added, but whether the unemployment rate, average hourly wage, and previous values' revisions collectively indicate a "orderly cooling" or "significant slowdown" in the labor market.Lewis Huang stated that if non-farm employment and wage data are both stronger than expected, the market will lower short-term rate cut bets, U.S. Treasury yields and the dollar are expected to strengthen, while gold and high-valuation tech stocks will face pressure; conversely, if employment, wages, and previous values' revisions all weaken, the market will raise expectations for Fed easing, and gold and non-U.S. currencies may receive support.He advised CFD traders to avoid chasing orders in the first minute after data is released, and to focus on observing whether the U.S. two-year Treasury yield, the dollar index, and gold form a synchronized confirmation, and to wait for a pullback opportunity after a key price level breakout. The current trading focus is not simply betting on the data's highs and lows, but rather judging how the non-farm report will change the market's pricing of the Fed's policy path.
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