JST (JST)Price Live Chart, Prediction, Market Cap, Token Unlocks, JST Concept Stocks WalletJYS

BTC

$63,103.68

-1.02%

/JST Price

JST

No.76

$0.1042

+0.85%

≈$0.10

Market Cap

$918.45M

Cir. Cap

$918.45M

Cir. Supply

8.82B

Cir. Rate

100%

Total Supply

8.82B

Max Supply

9.9B

24h Volume

$223.82M

24h Vol (BTC)

23.27M

24h Turnover

2.534014%

Market Share

0.01%

Performance

Low

0.10

Range

+0.02%

High

0.10

Listing

$0.00

ATH (2020-05-09)

$0.2083

-49.97%

ATL (2021-04-05)

$0.004766

+2086.05%

Official

Contract

Tron: TCFLL5...mWZZy9

Official

Whitepaper

Social

Network

Converter

Chart

Market

About

Price

Cap

K-line

Depth

1 Minute

5 Minutes

15 Minutes

1 Hour

4 Hours

1 Day

TradingView

+0.24%

24H

+0.85%

+1.43%

30D

+18.25%

+198.97%

All

+5.06K%

AI Assistant

JST下跌原因

JST资金流向

JST买卖支撑位

JST多空比分析

JST趋势分析

Ask AI

JST Market

CEX Spot

CEX Derivatives

Pairs

#	Unlock Date	Unlock Amount	Unlock Value	Total Supply %	Unlock Details
No Data

About JST

JUST (JST) is a cryptocurrency with market cap $0.7B, ranked #81. JUST (JST) is a cryptocurrency with market cap $0.7B, ranked #81.

81%

18%

Bullish

Bearish

Community

Crypto Engineers

40m ago

When he made a 439% profit in the first half of the year, he was called a prophet. Today, with his fund forcibly liquidated, he's called a gambler. The same person, the same portfolio, only thirty days in between. @leopoldasch, 25 years old, with a team of 8, started with $225 million in 2024 and grew it to $45 billion in two years. The Stripe brothers, Nat Friedman, and Jane Street were all his limited partners (LPs). On July 24th, he was still writing to investors, saying this correction was the most attractive opportunity since 2025, and that the subscription window would open on August 1st, welcoming additional investment. Six days after sending the letter, Goldman Sachs, JPMorgan Chase, and Bank of America all called to claim additional funds. Citadel bought his entire public equity book for a fixed price. The fund's size dropped from $45 billion to $10 billion. The interesting part is this—his fund was called Situational Awareness. His understanding of the entire AI industry was so precise it was documented in a 165-page paper, copied worldwide, yet he remained oblivious to the margin in his own account. Even more interesting is the specific bet he won. His open market positions—Bloom Energy, SanDisk, CoreWeave, SK Hynix, Nebius, plus $8.4 billion in notional chip put options—were all wiped out. Only one remained: Anthropic, bought in February 2025 at a valuation of $60 billion, now valued at $965 billion, worth approximately $5 billion. Do you understand? Assets priced every minute killed him; the one unpriced asset saved him. It wasn't because his assessment of Anthropic was more accurate; it was because that particular asset couldn't be sold, couldn't be pledged, and wasn't subject to daily mark-to-market, so the prime broker couldn't force him to liquidate. All his meticulously constructed long-short hedging, option protection, and leverage structures failed in the face of liquidity; the only thing that survived was that asset he couldn't touch. By the way, his fiancée is the chief of staff for the Anthropic CEO. This position is probably the least like a trade in the entire event. As for "Wall Street's Old Deng precisely hunting AI Little Deng"—don't even imagine it. In 2006, Amaranth natural gas exploded, and Citadel took over. On July 30, 2007, exactly 19 years ago on the same day, Sowood's net worth halved, and Citadel took over. Today, July 30, Citadel took over again. The same script has been played out for twenty years. No one is hunting you down. When you use 4x leverage and your position is so large it can't be hidden, others don't need to do anything; they just need to wait until you have to sell. The truly miserable one isn't him. He still has $5 billion in Anthropic, a unicorn about to IPO, and is 25 years old. The miserable ones are those who copied the 13F filing. 13F is a 45-day delayed snapshot; it doesn't show short selling, overseas positions, or leverage. You think you're trading with a guru, but you're copying his work from two months ago, and only half of it—he was long on AI infrastructure while holding $8.4 billion in notional put options on Nvidia and SMH. You not only can't copy this, but you're also trading nakedly in the opposite direction. He was liquidated, left with $5 billion. Those who copied him were liquidated, left with only Alipay bills. The key to identification in one sentence: At any time, what you see is only a snapshot of someone else's positions; what you don't see is their leverage, hedging, and exit strategies. The former is public; the latter is the whole picture. Industry judgments can be correct for years, but accounts can't survive three weeks. He bet on the AI bottleneck shifting to physical infrastructure—a judgment I still believe is correct today. He didn't lose on the direction; he used 4x leverage to bet on a supply-demand mismatch window. Being on the right direction and surviving are two completely unrelated things.

422

kvc.eth @AI CryptoGame

1h ago

Stay away from the crypto world; someone tried to run off with $20 million in assets. What's that in the AI world...? The truth is out. There's nothing left to do. Just go back to Web2, make some games, AI, short dramas. $100,000 a day, isn't that great?

377

Titan

2h ago

#Bitcoin Since the start of this bear market, the monthly fair value gap has eased before price pullbacks. A new monthly fair value gap has just appeared. I expect the same pattern to continue: at least until price pulls back or the gap is broken completely.

438

The Bitcoin Historian

2h ago

The former president of PayPal just stated that the "Clarity Act on Bitcoin and Cryptocurrencies" must be passed immediately; this is crucial. "We need clear rules for the United States." "We need to continue leading the global financial system." He believes that once the bill becomes law, all U.S. banks will quickly adopt it. The Clarity Act must pass this week! 🔥

441

0xSiyuan

2h ago

Many are still debating whether AI will replace humans, but what will truly determine the landscape of the next few decades may not be AI, but a form of energy. It's called: controlled nuclear fusion. Many people don't know that humanity has actually mastered nuclear fusion long ago. The hydrogen bomb is nuclear fusion. But the hydrogen bomb solved the problem of: How to use the power of the sun to destroy a city in 0.1 seconds. Controlled nuclear fusion, on the other hand, solves the problem of: How to confine a "mini-sun" inside a box and make it generate electricity stably every day. These two challenges are on completely different levels. Many people now ridicule nuclear fusion: "It's been researched for over 70 years and hasn't been commercialized yet; is it a scam?" But look at it from another perspective: 70 years ago, humanity didn't even have computers. Today, the computing power of a single mobile phone surpasses that of an entire country's supercomputer decades ago. The same applies to energy. The technology that truly changes the level of civilization is never a simple invention, but rather making it cheap enough. Oil didn't change the world because it was discovered, but because it was cheaply extracted. Transistors didn't change the world because they could be manufactured, but because they were manufactured on a large scale. The same is true for AI. If controlled nuclear fusion is successfully achieved in the future, the first thing to be changed might not be ordinary people's electricity bills. It would be the entire world's production logic. Why is AI developing so rapidly now? Because of computing power. Why is the competition for computing power becoming increasingly fierce? Because of electricity. The biggest AI companies of the future may not be those with the most powerful models, but rather those that possess the most cheap energy. You think the AI competition is a war between OpenAI, Google, and Anthropic? Actually, it might be a war of: Energy war. Some say: "Solar and wind power are enough, why do we need nuclear fusion?" The problem is, the energy needs of humanity in the future may far exceed those of today. AI data centers. Robot manufacturing. New energy vehicles. Seawater desalination. Space exploration. All these resources combined would require dozens of times more energy than today. Current human civilization is essentially built on: coal, oil, and natural gas. We've been burning the ancient sun for hundreds of years. Nuclear fusion, in essence, is an attempt to: create our own sun. If one day, a country or company is the first to master commercial nuclear fusion, it won't just be an energy company. it will be a trump card for the future world. Because once energy becomes cheap enough: AI computing power will be cheap. Industrial costs will decrease. Freshwater will become cheap. Manufacturing will be reshaped. It could even change the competitive landscape of nations. Every energy revolution in history has given rise to a new hegemon. The coal era made Britain powerful. The oil era made the United States powerful. So? Who will benefit from the fusion era? Of course, we are still a long way from true commercialization. But one thing is certain: For the past 100 years, humanity has been solving the problem of "how to obtain more information." For the next 100 years, humanity may need to solve the problem of: how to obtain near-infinite energy. Because when energy is no longer scarce, many things that seem crazy today may become commonplace. What truly changes the world is never a particular product. It is the redefinition of underlying resources.

341

Mr. Anonymous

3h ago

BTC.D (Bitcoin Market Share) has just formed a death cross (50-day moving average crossing below the 200-day moving average). Historical References: May 2021: BTC.D death cross → altcoin season surge January 2024: BTC.D death cross → altcoin season surge Current Status: BTC.D approximately 60% Ethereum performance begins to outperform BTC Altcoin trading volume begins to recover Strategy Recommendation: If BTC.D continues to decline, altcoins may experience a rally. Pay attention to the ETH/BTC exchange rate and TOTAL2 price movements.

419

Yu Sanshui

3h ago

Looking at $BTC, it seems like there's more than just one final drop. If we were to replicate the "three" phase in the chart, it would only be the beginning. You're telling me to buy the dip? What kind of dip are you talking about? 🥶

342

SOL I don't understand

3h ago

After reviewing the expenditures of the six major companies, what I want to say isn't that big companies are burning through cash again. Rather, the market's assessment of AI is shifting from one question to another: Previously, the question was: "Will AI capital expenditures be too high?" Now, the question is: "If we don't continue investing, will our computing power be insufficient?" This is the core reason for the recent strong rebound in storage, HBM, and semiconductors. Several changes make this clear. Google raised its 2026 Capex guidance from $180-190 billion to $195-205 billion. Meta initially only gave $115-135 billion, but subsequently revised it upwards, and it's now at $130-145 billion. Intel continues to increase its investment in advanced process technologies, foundry services, and packaging capacity. Tesla is also continuing to invest in Dojo computing power, robotic production lines, and factory expansion. While Microsoft slightly lowered its full-year capital expenditure forecast from $190 billion to $175 billion due to accounting adjustments, the key point isn't that it's stopped investing, but rather that its investment in AI hardware and computing power hasn't shrunk; the overall scale of investment remains far higher than last year. This illustrates one point: The AI capital expenditure cycle is still being forcibly pushed forward. Moreover, this round of investment isn't simply about buying a few GPUs. Behind an AI data center lies an entire industry chain: GPU/ASIC chips HBM high-bandwidth memory Server DRAM Enterprise-grade SSDs Advanced packaging Optical modules Power equipment Liquid cooling Data center land and power grid So why has the storage sector rebounded so strongly recently? Because the market suddenly realized: If cloud providers continue to expand AI data centers, then storage demand is unlikely to cool down quickly. Companies like Micron, SK Hynix, and Samsung are no longer just traditional DRAM cyclical stocks. They are now more like "capacity sellers" in the AI infrastructure chain. GPUs are responsible for computing. HBM (Hardware Bus) feeds the data. DRAM handles the operation. SSDs store the data. The larger the data center, the more exorbitant the storage consumption. Previously, the storage industry focused on smartphones, PCs, and inventory cycles. Now it's different. Now we need to look at: Google Cloud growth; Microsoft Azure growth; Meta data center expansion; Tesla robotics and self-driving technology; AI inference throughput; HBM supply and demand gap; Enterprise-grade SSD prices. This is why storage stocks rebound so sharply. Because the market was previously focused on two expectations: First, whether the AI caps had peaked; Second, whether the storage price surge would end. Now, with the release of major companies' earnings reports and guidance, the market has discovered: money is still being poured in, demand is still there, and capacity expansion hasn't stopped. Therefore, the previously suppressed storage valuations will quickly recover. But investors should remain calm. A sharp rebound doesn't mean there are no risks. The biggest problem in the AI hardware chain right now isn't a lack of compelling narratives, but rather overly optimistic expectations. If cloud providers slow down their Capex projections, or storage prices stall, stock prices will likely plummet. Therefore, my focus in this sector isn't on whether to chase it or not. The key is to look at three things: Are major vendors continuing to revise their Capex projections upwards? Are HBM/DRAM/SSD prices continuing to improve? Can cloud revenue prove that the money spent isn't wasted? If all three remain intact, the storage theme hasn't been disproven. If any one of these weakens, you need to reassess your position. This storage rebound, superficially a stock price correction, is actually driven by the ongoing global AI capital expenditure cycle. Short-term prices are driven by sentiment. Mid-term prices are driven by rising prices. Long-term prices depend on whether AI data centers can sustain their expansion.

445

The Bitcoin Historian

3h ago

326

Cointelegraph

4h ago

🚨Latest news: OpenAI has reportedly discovered more security vulnerabilities in its ongoing investigation of hacking attacks, specifically affecting its AI agent security. Just how many vulnerabilities are there?

382