Posts from the 'Op-Ed' Category

Bitcoin Is Bruised, Not Broken: Why the Crypto Sector Is Holding Its Ground

Bitcoin Is Bruised, Not Broken: Why the Crypto Sector Is Holding Its Ground

The cryptocurrency sector has taken a beating that would have shattered lesser assets, and the largest digital currency is still standing. As of November 10, 2026, Bitcoin trades at approximately $74,980.25, clinging to the $75,000 threshold after a sharp slide that pushed it to its lowest levels since August.

On the surface, the headlines scream capitulation. Institutional money is fleeing. $1 billion in leveraged bets has vanished in a single day. A corporate scandal at the world’s most important artificial intelligence chipmaker has poisoned risk appetite across every asset class. Washington is tilting toward a regulatory crackdown. The Federal Reserve looms with the threat of another rate hike. Any single force here would normally send Bitcoin into a freefall. The fact that it has not done so is the story that matters.

Start with the most visible wound: institutional exit. United States spot Bitcoin exchange-traded funds recorded a staggering $1.28 billion in weekly net outflows, the largest weekly withdrawal since late June. Public companies simultaneously offloaded roughly $869 million worth of BTC, flooding the trading environment with supply at precisely the moment demand was retreating. It was a coordinated retreat by the very participants who had spent the past 2 years building positions. When the largest, most sophisticated players head for the exits, prices usually collapse without finding a floor. Bitcoin found one anyway.

The derivatives sector then delivered a second blow. The drop below major support levels triggered a cascade of forced selling, with forced liquidation wiping out over $1 billion in leveraged crypto positions within a single 24-hour window. These were predominantly long bets, meaning traders who had wagered on higher prices lost their positions as the asset moved against them. Liquidation cascades resemble a bank run. They feed on themselves, forcing prices lower, triggering more margin calls, and repeating the cycle until only the most overleveraged and undercapitalized participants remain. That Bitcoin stabilized near $75,000 after absorbing that much forced selling suggests sellers ran out of force, not that the asset broke.

Then came the exogenous shock that no crypto analyst could have modeled. Nvidia chief executive Jensen Huang admitted to a personal relationship with an executive suspected by United States intelligence of spying for China, and the company’s board initiated an investigation. Nvidia shares dropped 4.3% to $178.67 and erased over $220 billion in market value in a single session. The Nasdaq suffered a 5% weekly rout in technology and artificial intelligence stocks, and Bitcoin, which has traded in increasingly tight correlation with risk assets over the past several years, fell with them. Bitcoin has no operational exposure to Nvidia, no supply chain link, no revenue dependence on data center chips. In a trading environment where algorithms and risk parity funds treat Bitcoin as a high-beta technology proxy, correlation becomes contagion. Bitcoin fell because everything fell, not because anything specific to Bitcoin had deteriorated.

The political backdrop added another layer of anxiety. Last week’s midterm elections leaned toward a Democratic sweep, and critics like Elizabeth Warren are poised to influence the Senate Banking Committee. Investors are bracing for harsher regulatory scrutiny and potential delays on crypto-favorable legislation like the CLARITY Act. Macro conditions compounded the discomfort. Traders moved into a risk-off posture ahead of Tuesday’s inflation data and growing anticipation of a Federal Reserve interest rate hike in December. Higher rates raise the opportunity cost of holding non-yielding assets, and Bitcoin, for all its digital scarcity, produces no cash flow. Each of these forces pushed in the same direction: sell risk, raise cash, wait for clarity.

And still Bitcoin did not break. Market analysts point to a crucial technical fact that deserves more attention than it has received. Bitcoin managed to cling to its critical 200-day moving average, a long-term trend line that has historically separated bull markets from bear markets. The 200-day moving average sits near $73,200, and Bitcoin bounced off that level even as leveraged positions faced forced liquidation around it.

The comparison with altcoins makes Bitcoin’s relative resilience even clearer. Ethereum and XRP dropped over 5% to 6% during the same period, and broader altcoin losses were substantially deeper. Bitcoin dominance held near 60%, a level that signals capital is not abandoning the asset class entirely but concentrating in its largest and most liquid member. 

The broader equity rally on November 9 provides the final piece of context. The S&P 500 rose 2.35% to 7,549.94, the Nasdaq surged 2.74% to 25,253.14, and the Dow exploded upward by 1,104.02 points to 52,389.75. More than 430 individual stocks in the S&P 500 closed higher. Energy prices plummeted, with Brent crude diving 5.8% to $92.57 per barrel, easing inflation fears. Advanced Micro Devices skyrocketed 13.3%, Broadcom gained 8.8%, and Lam Research jumped 10.4%. The risk-on appetite that returned to equities in that session will eventually find its way back into crypto, because the same investors who buy technology stocks and small-cap equities are the ones who allocate to digital assets. Bitcoin’s correlation with risk assets cut against it during the Nvidia scare. That same correlation will work in its favor when the next risk-on wave arrives.

My view is straightforward. Bitcoin has absorbed a $1.28 billion institutional exit, a $1 billion liquidation cascade, a corporate espionage scandal at the world’s most important technology company, a political shift toward tighter regulation, and macro anxiety ahead of inflation data and a rate decision. It has done so while holding its 200-day moving average and maintaining dominance over altcoins that fell harder. An asset that survives that combination of shocks without breaking is not an asset in crisis. It is an asset that has found a floor. The crypto sector is not looking too bad after all. It is looking like a sector that passed a stress test.

https://e27.co/bitcoin-is-bruised-not-broken-why-the-crypto-sector-is-holding-its-ground-20261110/

 

 

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author. The latest book is Web4: The Age of Autonomous Intelligence.

www.anndy.com
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Bitcoin and Ethereum Rebound Through a Shaky Relief Move After the Hack

Bitcoin and Ethereum Rebound Through a Shaky Relief Move After the Hack

The top 2 coin reports tell a connected story. Bitcoin rose 1.16% to $78,293.83 in 24 hours while Ethereum rose 1.22% to $2,279.47. The broader crypto market gained 0.75%. That surface looks like a clean recovery. My view is less comfortable. The Bitcoin bounce looks mechanical and brittle. The Ethereum bounce looks like a beta trade that depends on Bitcoin and macro conditions. This is a relief advance, not proof that the October bearish trend has ended.

Bitcoin’s primary driver was a short squeeze. Liquidations jumped 118% in 24 hours to $15.48 million, and shorts accounted for more than 60% of the total. That combination matters. Traders held over-leveraged short positions. Forced liquidations closed those bets and created buying pressure. Market mechanics fueled the gain more than fresh organic demand. That distinction sits at the center of my view. A short squeeze can produce a sharp move, but the forced buying can fade. The rise therefore carries weakness. Sustained high funding rates alongside rising open interest would signal renewed speculative excess, though the provided figures do not include those readings. What the figures do show is a move built on position unwinding.

The secondary driver was reassurance after Binance reopened withdrawals on November 1 following its $6.3 billion hack. That step eased immediate contagion fears. Bitcoin also bounced from oversold conditions. The 14-day RSI stood at 35.53, and price reacted from the $76,141 to $77,000 floor identified in news reports. Reduced panic and a natural technical reaction combined to lift price. Neither factor reverses the bearish trend established in October. I would call this a corrective bounce with a clear expiration risk.

The near-term Bitcoin map is simple but narrow. If the largest crypto asset holds above $76,141 support, it could test resistance at $79,107. A break below that floor could push Bitcoin toward $75,000. The key trigger is Binance’s detailed update due November 3. A reassuring document could help Bitcoin challenge $79,107. A negative update or a failure to reclaim that level risks a retest of $76,141. The market sits in a delicate balance, awaiting fundamental clarity. U.S. spot Bitcoin ETF flow figures on November 2 also matter because they can show whether institutional selling pressure has eased.

Ethereum’s report is thinner on coin-specific catalysts. ETH rose 1.22% to $2,279.47 and closely tracked Bitcoin’s 1.16% gain. The total crypto market cap rose 0.75%, which confirms a broad risk-on drift. Ethereum showed a strong 0.87 correlation with the S&P 500 over 7 days. That points to a macro-driven shift. The primary reason was a beta-driven recovery, with Bitcoin as markets stabilized after Binance pledged to cover losses and reopen withdrawals. The provided figures show no clear secondary driver for the specific 24-hour action. Earlier events gave a tailwind. Validators captured a $30 million windfall from hack-induced arbitrage, and hackers lost $119 million in rushed trades. Their direct impact on this precise timeframe remains unclear. So I treat Ethereum’s gain as a follow-through trade, not an independent signal.

Ethereum’s technical structure is cautiously constructive. ETH is testing resistance at the recent swing high near $2,300. The 7-day RSI at 60.58 suggests room for upward movement if buying pressure continues. If ETH holds above $2,250 support and breaks $2,300, it could target $2,400 to $2,450. A close below $2,250 risks a drop toward $2,200. The immediate trigger is U.S. ISM Manufacturing PMI data, which could shape macro sentiment. Monday’s U.S. spot Ethereum ETF flow figures on November 2 will also matter because they can show whether the recent outflow streak has stopped. Sustained Bitcoin strength above $78,000 would help maintain positive momentum for ETH. My view on Ethereum is cautiously bullish but conditional. The coin lacks a distinct recent catalyst in the figures, so it needs Bitcoin and macro cooperation to hold its rise.

The correlation readings add an important layer. Bitcoin showed an 87% correlation with the S&P 500 and an 80% correlation with Gold over 7 days. Ethereum showed a 0.87 correlation with the S&P 500 over 7 days. These numbers tell me crypto is trading as part of a shared macro shift. The reports don’t support a crypto-specific demand story. They support a story of broad risk sentiment and post-hack easing. That makes the upcoming macro prints and ETF flows more important than any individual coin headline.

My overall view is neutral-bearish on Bitcoin and cautiously bullish on Ethereum, with the caveat that Ethereum’s strength is borrowed. I would not chase the Bitcoin move until it reclaims and holds above $79,107. A failure there keeps $76,141 in play, and a break below opens $75,000. For Ethereum, I would want a decisive break above $2,300 on solid volume before targeting $2,400 to $2,450. A rejection sends price back to test $2,250, and a close below that level risks $2,200. The Binance update on November 3 and the November 2 ETF flow figures are the near-term tests. If the short squeeze fades and the Binance document disappoints, the advance lacks a durable base. If Bitcoin reclaims $79,107 and ETF flows improve, Ethereum can follow.

Until then, the market sits in a delicate balance, and I would treat the bounce as corrective rather than a reversal.

 

https://e27.co/bitcoin-and-ethereum-rebound-through-a-shaky-relief-move-20261102/

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author. The latest book is Web4: The Age of Autonomous Intelligence.

www.anndy.com
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Stop Chasing Quantum Ghosts. Fix the Lock On Your Front Door First

Stop Chasing Quantum Ghosts. Fix the Lock On Your Front Door First

7 Key Points:

1/ Crypto lost over $2.2 billion (maybe more now) across 288 documented attacks by late September 2026, putting the year on pace to rival the worst on record.

2/ Off-chain attacks accounted for 76 percent of hack losses in the dataset. Private keys and smart contracts were often not the main weak link.

3/ The Trezor impersonation case cost one person $282 million after a fake support contact obtained a seed phrase.

4/ Coldcard lost $112.7 million through a firmware randomness flaw. Investigators said intruders used unrestricted AI models to find and exploit the weakness.

5/ Bitget lost $387.5 million after a third-party zero-day and stolen internal credentials let criminals push fraudulent withdrawals. Kelp DAO lost $292 million from a cross-chain bridge configuration with a single point of failure. Supply chain and configuration risks are central.

6/ AI is already cheap and scalable. CrowdStrike saw an 89 percent surge in AI-enabled threats and 88 percent of vulnerability attacks starting within 48 hours of a public proof of concept. Fortinet recorded a 389 percent rise in ransomware victims.

7/ Quantum planning matters, with experts warning of relevant machines in the 2029 to 2030s range, but it is a multi-year migration problem.

 

The numbers land on you like a heavy weight. By late September 2026, the crypto industry had already lost more than $2.2 billion across 288 documented attacks. That figure puts this year on pace to rival the worst on record. The headline number tells a misleading story if you stop there. The real story is in the data, and it points to a threat that looks nothing like the one most boardrooms and security teams worry about.

Take a breath and look at the shape of the damage. In January, a single person lost $282 million after an impersonator posing as Trezor support convinced them to hand over a seed phrase. That was not a broken smart contract. That was a human being trusting a voice on the other end of a message. In July, intruders drained $112.7 million from Coldcard hardware wallets by exploiting a firmware flaw that affected how those devices generated randomness. In September, Bitget lost $387.5 million after criminals exploited a zero-day in third-party security products and used stolen internal credentials to push fraudulent withdrawal commands through the exchange’s own systems. In April, Kelp DAO lost $292 million due to a cross-chain bridge configuration that created a single point of failure for bad actors to poison.

Now look at what those incidents have in common. Private keys were not the weak link in most of them. Code was not the only weak link either. The losses moved through trust, through supply chains, and through the tools and people around the code. Off-chain attacks, the kind that compromise credentials, manipulate people, and poison supply chains, accounted for 76 percent of hack losses in the data set behind that $2.2 billion figure. The threat has shifted away from vanilla smart contract exploits and toward the infrastructure and human layers that hold everything together.

That migration matters because it tells us where defense dollars and attention belong right now. It tells us something else, too. The most urgent fight is not the one against a future quantum computer. The most urgent fight is the one against attacks happening today, many of which use artificial intelligence that is already here and already cheap.

The economics explain the shift. A phishing kit costs almost nothing and reaches on thousands of targets in minutes. A compromised vendor account opens a path into every customer the vendor serves. A stolen session token can bypass the password and the second factor in one move. Security teams that still model the adversary as a lone coder hunting for a reentrancy bug are modeling a smaller threat than the one that actually shows up. The intruders who took $2.2 billion this year studied the humans, the vendors, and the tools. They did not wait for a physics breakthrough.

Consider the pace of change. Verizon’s 2026 Data Breach Investigations Report found that 31 percent of confirmed breaches involved exploitation of software vulnerabilities, and that vulnerability exploitation overtook stolen credentials as the primary initial access vector for the first time. CrowdStrike observed an 89 percent surge in AI-enabled cyber threats, with 88 percent of attacks targeting vulnerabilities occurring within 48 hours of a public proof-of-concept release. Fortinet recorded a 389 percent year-over-year increase in ransomware victims as criminals used AI to automate and scale their operations. These are not projections about some distant future. These are measurements of the present.

The Coldcard case shows how directly AI has changed the game. Investigators found that intruders used unrestricted AI models to uncover and exploit a firmware weakness. On the defensive side, Coinkite used frontier AI tools to audit its entire system after the breach and found problems unrelated to the original bug. AI is not waiting for quantum computing to arrive before reshaping the balance between attackers and defenders. It is reshaping that balance right now, and security teams that treat AI as an afterthought are losing ground.

Why does the quantum conversation keep pulling attention away from this? Partly because quantum feels like the ultimate threat, the kind of thing that justifies major strategic planning and long timelines. The Government Accountability Office reports that experts believe a cryptographically relevant quantum computer could arrive as soon as the 2030s. Google warned in March 2026 that one could arrive by 2029. Those warnings deserve attention. Cryptographic migration takes years, and the harvest-now-decrypt-later problem means some data already sits in intruders’ hands. Nobody should dismiss quantum planning as fantasy.

Planning for quantum and defending against today’s attacks are not the same job, and they do not compete for the same urgency. A quantum computer capable of breaking RSA-2048 does not yet exist. An AI-assisted phishing campaign that drains a nine-figure wallet exists today. A supply chain compromise that evades a third-party security product exists today. A social engineering operation that convinces a person to surrender the one secret that protects everything exists today. The losses are not theoretical. They sit on chain, block by block, month after month.

The instinct to talk about quantum first feels prudent, but it gets priorities backward. Quantum is a migration problem with a horizon measured in years. AI-powered attacks on current code and people are an operational problem with a horizon measured in hours. CrowdStrike found that 88 percent of vulnerability attacks began within 48 hours of a public proof of concept. A defender who spends this quarter building a post-quantum roadmap but does not harden the identity layer, audit the supply chain, and train people to recognize impersonation is preparing for the wrong fight at the wrong time.

This is not an argument against quantum readiness. It is an argument about sequence. First, get the current code and the current humans into a defensible position. Treat AI as the primary adversarial capability it already is, not as a curiosity to address after leaders sign off on the quantum migration plan. The 2026 data is screaming a clear message. The billions are not disappearing because someone built a quantum computer. They are disappearing because criminals are using available tools against the weaknesses in the systems and people we rely on right now.

 

https://www.benzinga.com/opinion/26/10/62597642/stop-chasing-quantum-ghosts-fix-the-lock-on-your-front-door-first

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author. The latest book is Web4: The Age of Autonomous Intelligence.

www.anndy.com
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