# Artikel Terkait Market Cycles

Pusat Berita HTX menyediakan artikel terbaru dan analisis mendalam mengenai "Market Cycles", mencakup tren pasar, pembaruan proyek, perkembangan teknologi, dan kebijakan regulasi di industri kripto.

Memecoins Reclaim 29% of Spot Trading Volume on Solana DEX, Highest Since August 2025

Memecoins on Solana have surged back to account for 29% of the network's decentralized exchange (DEX) spot trading volume for the week of July 20-26, marking their highest share since August 2025. This represents a significant jump from the 10-15% levels seen just weeks prior. The resurgence is largely attributed to the explosive rise of the memecoin $ANSEM ("The Black Bull"), which saw an 18,000% surge in three days after its June launch and peaked at a market cap near $449 million, revitalizing trading activity on platforms like Pump.fun. Despite this memecoin rally, the data refutes the simplified view of Solana as a memecoin-dominated chain. SOL-stablecoin pairs accounted for 37% of weekly volume, stablecoin-to-stablecoin swaps made up 22%, with foreign tokens, project tokens, and tokenized assets comprising smaller shares. Memecoins ranked second, not first. The article highlights Solana's underlying strength beyond speculative activity. The network's stablecoin supply surpassed $15 billion in July and remained resilient during the 2026 market downturn. Furthermore, Solana leads all networks in the number of tokenized real-world assets (RWAs), hosting 2,582 such assets valued over $3.5 billion. Institutional adoption, evidenced by firms like Western Union and B2C2 utilizing the chain for settlements, underscores its growing utility. While memecoin volumes are cyclical, Solana's stablecoin and RWA ecosystems have shown consistent, counter-cyclical growth.

cryptonews.ru07/29 07:06

Memecoins Reclaim 29% of Spot Trading Volume on Solana DEX, Highest Since August 2025

cryptonews.ru07/29 07:06

If It's Not a Clear Yes, It's a No: A Nine-Year Retrospective by a VC Who Survived Four Cycles

**"Invest Only When Certain": A Nine-Year Retrospective from a VC Across Four Cycles** IOSG founder Jocy shares hard-earned lessons from nine years and over a hundred investments in Web3. The core challenge isn't identifying successful founders, but understanding why talented founders with solid ideas still fail. Through building a "failed founder database," IOSG identified six recurring failure patterns. **Founder Trait Red Flags:** 1. **Emotionally Unstable:** Founders who react defensively to criticism or publicly lash out under pressure (e.g., 80% drawdowns) often fail. Resilience is key. 2. **Lacking Hunger / Having a Fallback:** Founders with significant safety nets (family wealth, cushy fallback jobs) may lack the "do-or-die" commitment needed to survive crypto's brutal cycles. 3. **Unchecked Ego:** Includes "polished execution machines" who excel in known frameworks but struggle when paradigms shift, and "professor-types" who are technically brilliant but resistant to commercial feedback or coaching. **Project Structure Red Flags:** 4. **Token-First, Not Product-First:** Treating the token solely as a fundraising tool with no real utility or connection to product value is a major warning sign. The project should have value even if the token goes to zero. 5. **No Day-1 Exit Thesis:** Founders must have a clear, staged capital strategy from the start, understanding what each funding round needs to prove to unlock the next. "Exit before entry" is crucial. 6. **No Full-Cycle Experience:** Founders who haven't lived through a complete crypto bull/bear cycle (e.g., 2018, 2022) often underestimate their vulnerability. IOSG limits initial checks for such teams to $250k, sizing for risk. **The Positive Flipside: Desirable Founder Traits** The ideal candidate exhibits: obsessive problem-depth, being a second-time founder with a non-consensus vision, strong communication skills with *controlled* ego, relentless perseverance, and a global perspective with agency and taste (increasingly vital in the AI era). **Three Survival Tips for Founders:** 1. **Cash Flow Over Narrative:** Real revenue is what sustains projects, not vanity metrics. 2. **Tokens Are a Liability:** Avoid issuing a token unless absolutely necessary. The hidden costs (market making, liquidity, compliance) are immense, often a multi-million-dollar burden. 3. **Respect Liquidity:** Sell during peaks to build treasury, buy back to support the protocol during troughs. Be realistic about valuations and your ability to deliver for the next round. The final principle is simple yet paramount: **"If it's a borderline 'yes' or 'no,' don't invest."** In an industry that reinvents itself every few years, the discipline to consistently say "no" is the ultimate secret to longevity.

Foresight News06/24 07:46

If It's Not a Clear Yes, It's a No: A Nine-Year Retrospective by a VC Who Survived Four Cycles

Foresight News06/24 07:46

Samsung Leverages Technology Cycles, SK Hynix Relies on HBM, What Enabled Micron to Win a Trillion-Dollar Market Cap?

Micron Technology, the Idaho-based memory chip maker, recently saw its market cap surpass $1 trillion, securing its position as one of the top three DRAM manufacturers alongside Samsung and SK Hynix. Its survival and growth story is marked by a unique combination of political maneuvering and hard-won manufacturing efficiency, but also strategic missteps that now challenge its future. Founded in 1978 in Boise without significant government or capital backing, Micron repeatedly turned to Washington for survival during critical junctures. In the 1980s, it filed anti-dumping complaints against Japanese firms, leading to the U.S.-Japan Semiconductor Agreement. Ironically, this created an opening for Samsung, which Micron had earlier licensed its 64K DRAM technology to. In 2002, Micron avoided heavy fines in a price-fixing investigation by acting as a whistleblower against its competitors, cementing its reputation as a "political opportunist." A major strategic error occurred in 2013 with its $2.5 billion acquisition of bankrupt Japanese firm Elpida. This deal burdened Micron with integrating incompatible manufacturing processes just as the industry was pivoting toward HBM (High Bandwidth Memory), a critical technology for AI. SK Hynix had launched its first HBM chip that same year. By the time AI demand exploded with ChatGPT in 2022, SK Hynix commanded about 85% of the HBM3 market, while Micron, playing catch-up, held only around 3%. In 2017, Micron employed similar tactics against a new competitor, Chinese startup Fujian Jinhua, by alleging intellectual property theft, which led to U.S. sanctions effectively crippling the firm. However, this strategy backfired in 2023 when China banned Micron's products from its critical infrastructure, causing its revenue share from China to plummet from 14% in FY2023 to just 7.1% by FY2025. Today, Micron faces a triple squeeze: it lags in the high-margin HBM race, faces pricing pressure in low-end DRAM from Chinese manufacturers like CXMT, and has lost crucial access to the booming Chinese AI server market. Despite its political strategies, Micron's core strength is its exceptional manufacturing cost control, achieved through decades of engineering. Its DRAM chips have a smaller cell area than its rivals, yielding more chips per wafer. This efficiency has been vital for weathering industry downturns. However, this advantage cannot compensate for the decade lost in HBM development. Micron is now racing to ramp up production of its HBM3E, certified by NVIDIA, and develop HBM4. Its future hinges on whether it can close this technological "time debt" through relentless R&D and execution, in a marathon where its competitors, having started earlier, are not slowing down.

marsbit05/28 07:28

Samsung Leverages Technology Cycles, SK Hynix Relies on HBM, What Enabled Micron to Win a Trillion-Dollar Market Cap?

marsbit05/28 07:28

"Marking the Boat to Find the Sword"-Style Price Predictions Go Viral: The Practical Logic and Flaws of Mystical Prophecies

"Carving the Boat to Find the Sword"-style cryptocurrency price predictions, which rely on historical pattern analogies, have gained popularity during uncertain market phases. Analysts like CryptoBullet and KillaXBT use methods such as "tick-tock fractals" and historical rhythm analysis to predict market tops, bottoms, and trends, often claiming accuracy rates of 75–80%. While these predictions sometimes align with actual movements—such as correctly identifying a downturn in January 2026—they often miss precise price levels or timing. The appeal lies in three factors: market cycles often rhyme due to recurring liquidity and sentiment patterns; common technical indicators show similar predictive power but lack visual simplicity; and survivorship bias amplifies the perception of accuracy, as failed predictions are often ignored or deleted. However, these methods are flawed in practice. They offer directional guidance rather than executable trading strategies, lacking precise entry/exit points, stop-loss levels, or clear failure conditions. For instance, predicting a October 2025 top without specific price targets or risk management rules provides little actionable insight. Ultimately, while historical analogies can help identify market phases, they should not be mistaken for reliable trading signals. History rhymes—but never repeats exactly.

marsbit03/13 07:36

"Marking the Boat to Find the Sword"-Style Price Predictions Go Viral: The Practical Logic and Flaws of Mystical Prophecies

marsbit03/13 07:36

Andrew Kang: Abandon Short-Termism, Embrace Exponential Growth

Andrew Kang, founder of Mechanism Capital, argues that we are at a profoundly unique asymmetric moment in history, requiring a shift away from short-term thinking toward a long-term, exponential growth mindset. Having witnessed multiple market cycles, many investors become overly cautious during rapid price increases. However, Kang emphasizes that concerns about bubbles or attempts at market timing are misguided in the current environment. We are nearing a technological "singularity," driven by breakthroughs in AI, robotics, energy, and other innovative fields. In the coming decade, advancements such as billions of AI agents, humanoid robots, space data centers, multi-planetary colonization, and revolutionary medical therapies will compress more progress into twenty years than all of prior human history combined. Companies leveraging AI are already experiencing order-of-magnitude improvements in productivity. For instance, Anthropic now has Claude writing 100% of its product code. Traditional valuation models fail to capture the potential scale of growth, which could represent a 20-sigma event in terms of economic expansion. Wealth creation will accelerate dramatically. Those without exposure to these transformative trends risk being left behind as asset prices surge vertically. While short-term volatility is inevitable, Kang advises embracing long-term risk exposure rather than attempting to trade short-term fluctuations. The value of the embedded "call option" on the singularity is immense, and the time to adopt an exponential outlook is now.

marsbit02/12 13:23

Andrew Kang: Abandon Short-Termism, Embrace Exponential Growth

marsbit02/12 13:23

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