$ETH Machi Big Brother's "Bloody" Losses, Reduces ETH Position, Cumulative Loss Exceeds $26 Million
The market's legendary contrarian figure, Machi Big Brother, is once again drawing community attention as he executes a series of moves to shrink his portfolio after days of heavy losses.
🔸 Facing market pressure, Machi Big Brother decided to reduce risk exposure. He has cut his ETH Long position. Currently, the total ETH held in his account is only 2,300 tokens, equivalent to approximately $4.6 million USD. Additionally, he has completely closed his position on 8,000 $VVV
🔸 Financial data from Machi Big Brother's account paints a grim picture. In just the past week, his contract account has "evaporated" approximately $1.08 million USD. With his current position, he is carrying an unrealized loss of $100,000 USD .
🔸 Most notably, this "Whale's" total cumulative loss in the market has reached a staggering $26.02 million USD.
With a track record of "losing on every trade" totaling $26 million, the community now regards Machi Big Brother as a highly reliable "Counter Indicator." Could his reduction of Long positions this time be a signal that ETH is about to... surge?
News is for reference, not investment advice. Please read carefully before making a decision.
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$ETH
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Insider selling across major corporations just hit levels not seen since early 2020.
Back then, executives reduced exposure weeks before global markets understood the scale of what was coming. Today, the pattern is returning: heavy executive distribution into strength, not weakness.
This is not panic selling. It is positioning.
When those closest to balance sheets quietly de-risk while indexes sit near highs, it signals caution beneath the surface. Liquidity still supports markets, but smart money is clearly tightening exposure.
Watch insider flows closely. They rarely spike without a reason.
#Web3 #BinanceSquare
ZEC Token Surges in Trading Activity as Volatility Hits $292.42 Amid Strong Privacy Demand
Zcash (ZECUSDT) experienced significant volatility in the past 24 hours, with the current Binance price at $292.42, reflecting a 5.61% decrease from the 24-hour open of $309.81. The price change is attributed to strong prior bullish momentum driven by increased shielded supply, heightened trading activity, and renewed investor interest following favorable U.S. CPI data. Privacy features and compliance, highlighted by Grayscale Investments at Consensus Hong Kong, remain central themes in market discussions, reinforcing Zcash's unique value proposition. Trading volume remains robust, recently reported near $645 million, with Zcash outperforming the broader crypto market over the past week despite the recent pullback. The circulating supply stands at 16.54 million ZEC, and market capitalization estimates range from $4.8 billion to $5.31 billion, indicating Zcash's continued prominence among altcoins.
XRP Token Sees High Volatility as Golden Cross and Trading Surge Signal Potential Bullish Momentum
XRPUSDT experienced notable price volatility in the past 24 hours, with the current Binance price at $1.4573, representing a 2.46% decrease from the 24h open of $1.4941. The price movement is primarily attributed to recent high trading volumes on Korean exchanges, increased investor activity following a significant recovery from a previous 50% crash, and the emergence of a "Golden Cross" signaling potential bullish momentum. Positive developments, such as Ripple CEO Brad Garlinghouse joining a CFTC panel, have contributed to heightened market attention. Despite these factors, the asset encountered mixed sentiment, with some sources suggesting a potential bull trap. XRP's market capitalization remains robust, ranging between $88.2 billion and $96.96 billion, with 24-hour trading volume reported between $4.83 billion and $5.97 billion, indicating sustained high interest and active trading across major exchanges.
Insider selling across major corporations just hit levels not seen since early 2020.
Back then, executives reduced exposure weeks before global markets understood the scale of what was coming. Today, the pattern is returning: heavy executive distribution into strength, not weakness.
This is not panic selling. It is positioning.
When those closest to balance sheets quietly de-risk while indexes sit near highs, it signals caution beneath the surface. Liquidity still supports markets, but smart money is clearly tightening exposure.
Watch insider flows closely. They rarely spike without a reason.
Fogo isn’t positioning the Solana Virtual Machine as a portability layer — it’s treating it as a precision timing engine. Parallel execution is the starting point, and the network is optimized to keep confirmations consistent even when transaction flow turns turbulent.
The client runs on Firedancer, and the consensus model is deliberately multi-local. Validators are grouped and co-located in zones to push network latency closer to hardware limits. This isn’t abstract ambition — the testnet parameters are specific: a 40ms block target, 375-block leader rotations (roughly 15 seconds per producer), and 90,000-block epochs lasting about an hour, with consensus shifting to a new zone each epoch.
It’s a structured wager that rhythm and predictability matter more than chasing headline peak throughput — especially for trading-heavy, on-chain workloads.
@fogo #Fogo $FOGO
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The primary goal of zkSYS is to expand the security model of Bitcoin into a framework designed for scalable execution. Fundamentally, the ecosystem is grounded by Syscoin L1, which relies on Bitcoin-secured Proof of Work to anchor the entire structure. Upon this solid foundation, zkSYS supports high-performance execution environments that successfully derive security from the base layer without causing fragmentation.
When considering the needs of agents and institutional systems, the demands are straightforward. They require reliable data, immediate settlement, and infrastructure built to last beyond the current market cycle. This architecture was explicitly crafted to satisfy these strict requirements. You can expect comprehensive breakdowns to be released later this week.
Fogo is using the Solana Virtual Machine as a timing engine, not a portability story: parallel execution is the baseline, and the chain is tuned to keep
Confirmations steady when flow gets chaotic. The client is built on Firedancer and the consensus design is explicitly multi local with validators co
located in zones to squeeze network latency toward hardware limits. In testnet terms they are not vague about it: 40 millisecond block target, 375 block
leader terms so one producer holds the wheel for about 15 seconds, and 90,000 block epochs about one hour with consensus rotating to a different zone each epoch.
That is a clear bet that predictable cadence beats raw peak numbers for on chain trading style workloads.
#fogo @fogo $FOGO
@fogo I’ve learned to be suspicious of “fast” claims in crypto, mostly because I’ve watched too many platforms stumble the moment real volume arrives. When that happens, users don’t remember the benchmark; they remember the freeze, the failed transactions, and the support tickets that go nowhere. It’s not surprising that reliability is trending as the new status symbol. $FOGO grabbed my attention because Fogo seems to be building around that idea, not bolting it on later. The mainnet launches on January 15, 2026, matters, but the framing matters more: predictable execution over flashy one-off results. In the docs, the 40-millisecond block target sits alongside a detail I like: consensus rotates across regions each epoch, which forces the network to deal with distance and variance. I’m also glad to see basics shipped early: a usable explorer, indexing support, and DeFi apps you can actually watch. If Web3 wants to be infrastructure, it has to behave like infrastructure.
@fogo $FOGO #fogo #Fogo
Fogo feels like a chain that’s trying to buy back time. Not “fast” as a slogan, but fast as a hard rule—40 millisecond blocks and around 1.3 seconds to deterministic finality. If you’ve ever felt that little pause where the chain is still “deciding” while the market already moved, you understand why this matters. It’s not just speed, it’s the difference between “I acted” and “I acted, but the network blinked.”
What makes Fogo different is the choice that sounds almost too simple : they stop pretending geography doesn’t exist. Instead of making validators across the entire world agree in the same tight loop every block, they group validators into zones where the machines are physically close, sometimes even inside the same data center. That’s how they chase those tiny block times—shorter distance, lower latency, quicker votes, faster finality. And to avoid one region becoming the permanent center, the zone can rotate by epoch, which is their way of saying “we want speed, but we don’t want one place owning the heartbeat forever.”
And then there’s the quiet, serious part of the bet : a more standardized validator stack (leaning into the Firedancer direction) because ultra-low latency usually comes from tuning one machine really hard, not supporting endless variations. If it works, it feels like a chain built for moments where milliseconds decide who wins. If it doesn’t, the risks are obvious—coordination, concentration pressure, and all the questions people ask when performance becomes the main religion. Either way, it leaves you thinking : If a chain makes time feel cheap, who ends up paying when time suddenly gets expensive again?
#fogo @fogo $FOGO
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