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White-Haired Stock God: Technical Analysis is the Trader's Astrology, Stock Price Does Not Rise Due to "Golden Waterfall Candle" Pattern
BlockBeats News, June 14th, "White-Haired Stock God" Serenity responded firmly when asked about using technical analysis, stating: My opinion may disappoint many people. Technical Analysis (TA) is the astrology of traders, mainly used to confirm deviations and to exploit trader psychology to find entry points. It can help you understand what other retail investors and traders are thinking and believing at the moment, but it cannot reliably predict a stock's true upside potential. Serenity gave examples, stating that the previous surge in SPCE was not because of a "Space Comet Rocket Candle" appearing on the chart, but because the market was pricing in the future revenue of companies like JBL and AMD; similarly, AXTI's 8000% spike was not due to a "Golden Waterfall Candle Signal," but driven by fundamental factors such as indium phosphide substrates, export controls, and photonics demand.
Serenity emphasized that the correct research approach should focus on thematic correlations (such as the relationship between LITE and AAOI), news catalysts, forward-looking revenue projections, macro events, financial reports, float dynamics, and game theory. Through these, a reasonable market value for a company can be derived. Technical analysis is only suitable for assisting in finding entry points and risk management. It should never be used to determine where a stock will ultimately go.
Using IREN as an example, Serenity pointed out that many people drew chart patterns indicating a price of over $120, but in reality, the company needs to absorb a $6 billion ATM offering first. These technical chart patterns are essentially useless. Fundamentals, catalysts, and thematic research determine the direction. Relying solely on technical analysis can easily lead to a crash in current sectors such as AI and semiconductors.
BlockBeats News, June 14th, "White-Haired Stock God" Serenity responded firmly when asked about using technical analysis, stating: My opinion may disappoint many people. Technical Analysis (TA) is the astrology of traders, mainly used to confirm deviations and to exploit trader psychology to find entry points. It can help you understand what other retail investors and traders are thinking and believing at the moment, but it cannot reliably predict a stock's true upside potential. Serenity gave examples, stating that the previous surge in SPCE was not because of a "Space Comet Rocket Candle" appearing on the chart, but because the market was pricing in the future revenue of companies like JBL and AMD; similarly, AXTI's 8000% spike was not due to a "Golden Waterfall Candle Signal," but driven by fundamental factors such as indium phosphide substrates, export controls, and photonics demand.
Serenity emphasized that the correct research approach should focus on thematic correlations (such as the relationship between LITE and AAOI), news catalysts, forward-looking revenue projections, macro events, financial reports, float dynamics, and game theory. Through these, a reasonable market value for a company can be derived. Technical analysis is only suitable for assisting in finding entry points and risk management. It should never be used to determine where a stock will ultimately go.
Using IREN as an example, Serenity pointed out that many people drew chart patterns indicating a price of over $120, but in reality, the company needs to absorb a $6 billion ATM offering first. These technical chart patterns are essentially useless. Fundamentals, catalysts, and thematic research determine the direction. Relying solely on technical analysis can easily lead to a crash in current sectors such as AI and semiconductors.
The USDC Treasury has minted an additional 250 million USDC on the Solana blockchain.
BlockBeats News, June 14th, according to Whale monitoring, the USDC Treasury minted an additional 250 million USDC on the Solana blockchain 2 minutes ago.
BlockBeats News, June 14th, according to Whale monitoring, the USDC Treasury minted an additional 250 million USDC on the Solana blockchain 2 minutes ago.
A Whale Liquidated a $39.03 Million ETH Short Position, Holding It for Only 18 Hours
BlockBeats News, June 14th, according to on-chain analyst Ai Auntie (@ai_9684xtpa), a whale shorted $39.03 million worth of ETH, closed the position for a profit after only 18 hours, and made $184,000.
Address 0xa2e…f1468 has closed a short position of 23,200 ETH, with an opening price of $1680.8 and a closing price of $1672.9.
BlockBeats News, June 14th, according to on-chain analyst Ai Auntie (@ai_9684xtpa), a whale shorted $39.03 million worth of ETH, closed the position for a profit after only 18 hours, and made $184,000.
Address 0xa2e…f1468 has closed a short position of 23,200 ETH, with an opening price of $1680.8 and a closing price of $1672.9.
US and South Korea Stock Price Outlook for Monday: US Stocks Expected to Slightly Rise in Pre-market Trading, Micron and Samsung Electronics Set to Open Higher
BlockBeats News, June 14th. During the weekend market closure of the traditional markets, "Nasdaq on Chain" Trade.xyz achieved continuous trading and real-time price discovery that traditional finance couldn't reach through perpetual contracts, providing early pricing for Monday's US and South Korean stock market.
Popular US stock targets on Trade.xyz saw slight gains compared to Friday's after-hours trading, with a slight uptrend expected in pre-market trading on Monday. The weekend performance is as follows:
SpaceX is currently trading at $166.5, according to Bitget market data, with the US stock price at $166.85 in Friday's after-hours trading;
Micron (MU) is currently trading at $1003, with the US stock price at $990 in Friday's after-hours trading;
SanDisk (SNDK) is currently trading at $2004.4, with the US stock price at $1994.79 in Friday's after-hours trading;
NVIDIA is currently trading at $206.74, with the US stock price at $205.42 in Friday's after-hours trading;
Marvell Technology (MRVL) is currently trading at $283.61, with the US stock price at $281.2 in Friday's after-hours trading;
Intel is currently trading at $127.2, with the US stock price at $125.4 in Friday's after-hours trading;
Google is currently trading at $363.9, with the US stock price at $359.2 in Friday's after-hours trading;
AMD is currently trading at $518.5, with the US stock price at $514.63 in Friday's after-hours trading.
Popular South Korean stock targets on Trade.xyz saw a significant increase on Saturday, with a projected opening on Monday to have over a 6% increase. The weekend performance is as follows:
Samsung Electronics is currently trading at $224.6, with a Friday closing price of $212;
SK Hynix is currently trading at $1520, with a Friday closing price of $1415.
BlockBeats News, June 14th. During the weekend market closure of the traditional markets, "Nasdaq on Chain" Trade.xyz achieved continuous trading and real-time price discovery that traditional finance couldn't reach through perpetual contracts, providing early pricing for Monday's US and South Korean stock market.
Popular US stock targets on Trade.xyz saw slight gains compared to Friday's after-hours trading, with a slight uptrend expected in pre-market trading on Monday. The weekend performance is as follows:
SpaceX is currently trading at $166.5, according to Bitget market data, with the US stock price at $166.85 in Friday's after-hours trading;
Micron (MU) is currently trading at $1003, with the US stock price at $990 in Friday's after-hours trading;
SanDisk (SNDK) is currently trading at $2004.4, with the US stock price at $1994.79 in Friday's after-hours trading;
NVIDIA is currently trading at $206.74, with the US stock price at $205.42 in Friday's after-hours trading;
Marvell Technology (MRVL) is currently trading at $283.61, with the US stock price at $281.2 in Friday's after-hours trading;
Intel is currently trading at $127.2, with the US stock price at $125.4 in Friday's after-hours trading;
Google is currently trading at $363.9, with the US stock price at $359.2 in Friday's after-hours trading;
AMD is currently trading at $518.5, with the US stock price at $514.63 in Friday's after-hours trading.
Popular South Korean stock targets on Trade.xyz saw a significant increase on Saturday, with a projected opening on Monday to have over a 6% increase. The weekend performance is as follows:
Samsung Electronics is currently trading at $224.6, with a Friday closing price of $212;
SK Hynix is currently trading at $1520, with a Friday closing price of $1415.
Michael Saylor reissues Bitcoin Tracker Information, Hinting at Further BTC Accumulation
BlockBeats News, June 14th, Strategy founder Michael Saylor once again shared Bitcoin Tracker-related information and stated, "Still adding dots."
According to a previous pattern, Strategy always discloses Bitcoin accumulation information on the second day after such news is released.
BlockBeats News, June 14th, Strategy founder Michael Saylor once again shared Bitcoin Tracker-related information and stated, "Still adding dots."
According to a previous pattern, Strategy always discloses Bitcoin accumulation information on the second day after such news is released.
Critini Analyst: HBM Bringing Structural Change to DRAM Market, AI Memory Supercycle Emerging
BlockBeats News, June 14th - Critini Research analyst Jukan stated that HBM (High Bandwidth Memory) is bringing a structural change to the DRAM market's long-term trend. From around 1957 to 2020, the cost per Gb of DRAM decreased by an order of magnitude approximately every 5 years. However, the strong demand for HBM brought about by the AI boom has completely disrupted this pattern. Manufacturers are shifting a large amount of capacity to the more complex and silicon footprint-intensive HBM, leading to a tight supply of mainstream DRAM and a significant price reversal. Data shows that the long-term price of DRAM has been continuously decreasing on a logarithmic scale, but is projected to break upwards after 2023-2024, reflecting the formation of an AI-driven memory supercycle.
BlockBeats News, June 14th - Critini Research analyst Jukan stated that HBM (High Bandwidth Memory) is bringing a structural change to the DRAM market's long-term trend. From around 1957 to 2020, the cost per Gb of DRAM decreased by an order of magnitude approximately every 5 years. However, the strong demand for HBM brought about by the AI boom has completely disrupted this pattern. Manufacturers are shifting a large amount of capacity to the more complex and silicon footprint-intensive HBM, leading to a tight supply of mainstream DRAM and a significant price reversal. Data shows that the long-term price of DRAM has been continuously decreasing on a logarithmic scale, but is projected to break upwards after 2023-2024, reflecting the formation of an AI-driven memory supercycle.
MegaETH's native token MEGA has surged over 20% in the past 24 hours, surpassing $0.068.
BlockBeats News, June 14th, according to an exchange market data, MegaETH's native token MEGA broke through $0.068, with a 24-hour percentage gain expanding to 20.13%.
BlockBeats News, June 14th, according to an exchange market data, MegaETH's native token MEGA broke through $0.068, with a 24-hour percentage gain expanding to 20.13%.
The AI Boom is Fueling Tech Inflation, Rewriting a Two-Decade History of Tech Products Only Getting Cheaper
BlockBeats News, June 14th, AI Driving US Inflation Surge. In May, the Consumer Price Index for Computer Software and Accessories surged by 14.5% year-on-year, marking the largest annual increase since records began in 2000. Producer prices for electronic components skyrocketed by 27%, also hitting a historical high. By contrast, prior to 2026, prices for software and electronic components had been decreasing almost every year.
Currently, the price of memory alone has more than doubled in the past year, with DDR5 and DDR4 memory prices soaring by 290% year-on-year. The reason behind this surge is that AI data centers have absorbed the vast majority of global chip supply. The impact of memory prices could keep inflation elevated throughout the entire year of 2027, further compounding the existing pressures from the Iran conflict. The AI boom is fueling tech inflation.
BlockBeats News, June 14th, AI Driving US Inflation Surge. In May, the Consumer Price Index for Computer Software and Accessories surged by 14.5% year-on-year, marking the largest annual increase since records began in 2000. Producer prices for electronic components skyrocketed by 27%, also hitting a historical high. By contrast, prior to 2026, prices for software and electronic components had been decreasing almost every year.
Currently, the price of memory alone has more than doubled in the past year, with DDR5 and DDR4 memory prices soaring by 290% year-on-year. The reason behind this surge is that AI data centers have absorbed the vast majority of global chip supply. The impact of memory prices could keep inflation elevated throughout the entire year of 2027, further compounding the existing pressures from the Iran conflict. The AI boom is fueling tech inflation.
Opinion: Anthropic Export Control Compliance Highlights Centralization Risks in AI, Decentralized AI Could Become Key Counterbalancing Force
BlockBeats News, June 14th, CoinFund founder Jake Brukhman stated that AI models naturally have centralizing attributes, making them a key target for government regulation and control. Anthropic's latest export control compliance action further confirms this trend.
He pointed out that decentralized networks can be a crucial counterbalance to the current situation, building sovereign, open, and public decentralized AI. The core challenge lies in the issue of computational power. Although it is widely believed that only trillion-dollar tech companies can afford cutting-edge model training, there is actually abundant global GPU computational power available. The key is to develop new distributed training algorithms.
Brukhman mentioned that teams such as Gensyn, Prime Intellect, Bagel, Pluralis, Nous Research, Macrocosmos AI, and Covenant AI have been exploring this direction. Although early on it was commonly believed to be infeasible, the reality has shown that distributed training can not only be achieved but also at a lower cost and with efficiency close to traditional solutions.
Furthermore, he believes that another major challenge facing decentralized AI is economic sustainability. While open-source models are important, they lack mature business models. Pluralis, by distributing model weights to participants, is exploring the commercial path of tokenizing AI models.
Brukhman stated that we are currently at a critical moment where AI will either move towards complete centralization, subject to scrutiny and unilateral government control, or establish a public AI on an open decentralized network, which will determine the industry's future direction.
BlockBeats News, June 14th, CoinFund founder Jake Brukhman stated that AI models naturally have centralizing attributes, making them a key target for government regulation and control. Anthropic's latest export control compliance action further confirms this trend.
He pointed out that decentralized networks can be a crucial counterbalance to the current situation, building sovereign, open, and public decentralized AI. The core challenge lies in the issue of computational power. Although it is widely believed that only trillion-dollar tech companies can afford cutting-edge model training, there is actually abundant global GPU computational power available. The key is to develop new distributed training algorithms.
Brukhman mentioned that teams such as Gensyn, Prime Intellect, Bagel, Pluralis, Nous Research, Macrocosmos AI, and Covenant AI have been exploring this direction. Although early on it was commonly believed to be infeasible, the reality has shown that distributed training can not only be achieved but also at a lower cost and with efficiency close to traditional solutions.
Furthermore, he believes that another major challenge facing decentralized AI is economic sustainability. While open-source models are important, they lack mature business models. Pluralis, by distributing model weights to participants, is exploring the commercial path of tokenizing AI models.
Brukhman stated that we are currently at a critical moment where AI will either move towards complete centralization, subject to scrutiny and unilateral government control, or establish a public AI on an open decentralized network, which will determine the industry's future direction.
A new address with a high leverage short position of 23,000 ETH, liquidation price $1863.2.
BlockBeats News, June 14th. According to AI Auntie Monitor, address 0xa2e...f1468 started shorting 23,205.35 ETH in batches last night at 23:42, with a position value of $39.03 million, opening average price of $1,680.8, liquidation price of $1,863.2, and currently facing a floating loss of nearly $27,000.
BlockBeats News, June 14th. According to AI Auntie Monitor, address 0xa2e...f1468 started shorting 23,205.35 ETH in batches last night at 23:42, with a position value of $39.03 million, opening average price of $1,680.8, liquidation price of $1,863.2, and currently facing a floating loss of nearly $27,000.