On January 30, 2026, the crypto market underwent one of the most unstable 24-hour periods in recent history as the ecosystem was engulfed by huge long squeezes.On January 30, 2026, the crypto market underwent one of the most unstable 24-hour periods in recent history as the ecosystem was engulfed by huge long squeezes.
Crypto Market Faces $1.71 Billion in Liquidations as Prices Drop, Liquidating Over 275,000 Traders
3 min read
News Brief
On January 30, 2026, the crypto market endured one of its most chaotic 24-hour periods as a devastating wave of long squeezes struck, erasing approximately $1.71 billion across 275,371 traders. This turmoil unfolded amid an already fragile global economy grappling with geopolitical tensions and macroeconomic instability. Bitcoin suffered the heaviest blow with nearly $786.82 million in liquidated positions. Ethereum followed with about $423.63 million lost, while XRP dropped $71.99 million and Solana shed $70.07 million. The most catastrophic moment occurred when a single BTC/USDT trade on HTX exchange liquidated for $80.57 million instantly. Exchanges experienced varying degrees of damage—Hyperliquid bore the brunt at over $605.94 million, followed by Bybit at $344.95 million. Prices collapsed through weeks-old support levels, triggering a vicious cycle where declining values forced further liquidations and selling. This chaos resulted from a perfect storm: gold surged to $5,600 per ounce as investors fled to safety, US-Iran tensions escalated, tariff threats emerged, disappointing Microsoft earnings weakened tech stocks, and Bitcoin ETFs saw $1.10 billion in outflows. Additionally, nearly $9 billion in options expired that morning, intensifying volatility. Many believe this purge eliminated overleveraged positions, yet the scale remains staggering. Consequently, traders now face uncertainty about whether ongoing pressures will persist or if recovery lies ahead.
On January 30, 2026, the crypto market underwent one of the most unstable 24-hour periods in recent history as the ecosystem was engulfed by a huge wave of long squeezes. Around 1.71 billion was liquidated overall, leaving 275,371 traders without any liquidity.
This story is an excellent warning of the dangers of high leverage in an already struggling global economy that is in the midst of severe geopolitical and macroeconomic changes.
Crypto Liquidation Details
The main victims of this volatility were Bitcoin and Ethereum. The extent of the damage to the top crypto assets was historic:
- Bitcoin ($BTC): Almost 786.82 million positions liquidated.
- Ethereum ($ETH): Wiped out value amounting to $423.63 million.
- XRP: Incurred liquidations of up to $71.99 million.
- Solana ($SOL): Saw a total loss of $70.07 million.
- Dogecoin ($DOGE): experienced around $13.05 million in liquidations.
The most agonizing point of the day was one single crypto order on an exchange of HTX, which wiped a BTC/USDT position valued at $80.57 million in a single order.
Extreme Volatility Across Major Crypto Trading Exchanges
The size of the liquidations at various exchanges was different. Hyperliquid suffered the most with more than 605.94 million in liquidations, followed by Bybit with 344.95 and Binance with 188.15.
Many traders were taken by surprise when the prices cut across key support lines that had earlier been holding strong and firm for weeks.
When the selling pressure was increased, a loop was created in the market with falling prices causing more liquidations, which were followed in turn by further forced selling.
A Storm of Geopolitical and Corporate Triggers
The direct reason behind this crypto market flush can be associated with a perfect storm of external events, which transitioned funds out of risk assets. A combination of several important factors caused the crash.
- Flight to safe assets: Investors went into their conventional safe havens, and gold hit all-time highs of $5,600/oz, and silver hit all-time records.
- Geopolitical tensions: The growing tension between the US and Iran, coupled with uncertainty about the fresh tariff announcements, has shaken the markets all over the world.
- Tech sector weakness: Discouraging Microsoft earnings projections led to a decline in tech and AI stocks, which are typically associated with cryptocurrency.
- Institutional Outflows: More than 1.1 billion left Bitcoin ETFs last week, as trust faltered.
The technical timing of the crash was also made worse when almost 9 billion in Bitcoin and Ethereum options expired today on the morning on January 30. The options expiries tend to be like a volatility magnet, and in this case they were the last kick, which was required to push through the floor.
The Future of the Crypto Market
Although some analysts look at this as an act of cleaning up the crypto market and throwing out the weak hands and overleveraged participants, the sheer amount of money lost makes it a big day of financial pain.
With the industry progressing, it is expected that the trend will shift to deleverage and watch the macro environment to see whether it is improving or not.
The effect of such a liquidation event is experienced in a wider area than ever due to the fact that over 600 million users are currently active in these markets in the different exchanges across the world. The combination of the tech market’s vulnerability and global political uncertainty has left traders in a precarious situation.
In the coming weeks, we will primarily determine whether this reset signals a bottom for the next leg up or a period of continued consolidation.
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AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media
AI crypto trading is everywhere, and every YouTube guru claims their bot mints money while they sleep. Sounds dreamy, right? However, most don’t discuss the full story, the wild profits possible, and the lurking pitfalls. As someone obsessed with the intersection of artificial intelligence and digital assets, let me pull back the curtain on the realities of algorithmic trading in the crypto jungle.
Here’s what nobody tells you: 87% of retail traders using automated systems lose money within their first year. The marketing materials show cherry-picked results. The testimonials come from paid affiliates.
But here’s the twist. The remaining 13% who succeed aren’t just lucky. They understand something the majority misses entirely.
The Reality Behind the Hype
The crypto world loves success stories. You’ve probably seen them. “I made $50,000 in three months using this bot.” What they don’t mention? The $200,000 they lost by testing seventeen other systems first.
Real talk: most trading algorithms fail because they’re built for perfect market conditions. Crypto markets are anything but perfect.
Think about it like this. Would you trust a Formula 1 car to handle rush hour traffic? That’s essentially what most people do with their trading bots.
Why Smart Money Uses Crypto AI Tools Differently
Professional traders approach crypto AI tools with surgical precision. They don’t expect miracles. They expect consistent, measured results.
The difference lies in understanding what these tools actually do well:
• Risk management automation
• Pattern recognition at scale
• Emotional bias elimination
• 24/7 market monitoring
• Portfolio rebalancing
Notice what’s missing from that list? Get-rich-quick schemes. The smartest crypto AI tools focus on protecting capital first. Profits come second. This mindset separates winners from losers.
Here’s something interesting. 9-figure media companies track these patterns religiously. They know which crypto AI tools produce sustainable results versus flashy short-term gains.
Professional traders using crypto AI tools typically target 15–25% annual returns. Not 500% monthly moonshots.
The Startup Connection Most People Ignore
AI for startups isn’t just about building the next ChatGPT. Many successful companies use AI to optimize their crypto treasury management. Smart startups integrate crypto AI tools into their financial operations early. They automate routine decisions. They reduce human error. They scale their trading operations without hiring armies of analysts.
But here’s where it gets interesting. The best AI for startup applications in crypto aren’t the obvious ones.
Consider automated tax reporting. Or real-time compliance monitoring. Or treasury optimization across multiple blockchains. These unsexy applications generate more consistent profits than flashy trading algorithms.
AI for startups in the crypto space succeeds when it solves boring problems efficiently. Not when it promises unrealistic returns. The most successful AI for startups implementations focus on operational efficiency. They reduce costs. They minimize risks. They free up human resources for strategic decisions.
Learning from Top AI Start-Ups
Top AI start-ups in the crypto space share common characteristics. They prioritize transparency over marketing hype.
Look at successful top AI start-ups like Chainalysis or Elliptic. They don’t promise easy money. They provide essential infrastructure.
The best top AI start-ups focus on solving real problems:
• Market data analysis
• Security monitoring
• Regulatory compliance
• Portfolio analytics
• Risk assessment
These top AI start-ups understand something crucial. Sustainable businesses solve actual problems. They don’t just ride hype cycles. 9-figure media outlets consistently highlight these fundamental companies. They ignore the noise. They focus on substance.
Many top AI start-ups actually discourage retail trading. They know the odds. They’ve seen the casualties. Instead, successful top AI start-ups build tools for institutions. Banks. Hedge funds. Companies with proper risk management systems.
The Hidden Costs Nobody Discusses
Using crypto AI tools costs more than subscription fees. Much more.
First, there’s the learning curve. Most people spend months figuring out proper settings. During this time, they’re paying tuition to the market.
Second, there’s infrastructure. Reliable crypto AI tools require stable internet, backup systems, and proper security measures.
Third, there’s opportunity cost. Time spent tweaking algorithms could be spent learning fundamental analysis.
The real cost? Most people using crypto AI tools trade more frequently. Increased trading usually means increased losses.
Think about 9-figure media companies again. They understand that technology amplifies existing skills. It doesn’t replace them.
Smart Implementation Strategies
Successful crypto AI tools users follow specific patterns:
• Start with paper trading
• Use position sizing rules
• Set strict stop losses
• Monitor performance weekly
• Adjust strategies quarterly
They treat crypto AI tools like any other business tool. With respect. With caution. With realistic expectations, startup applications work similarly. They augment human decision-making. They don’t replace it.
The most successful AI for startups implementations in crypto involve human oversight at every level. Algorithms suggest. Humans decide.
What Actually Works
Here’s what separates successful crypto AI tools users from everyone else: They focus on consistency over home runs. They understand that small, regular gains compound better than occasional big wins followed by devastating losses.
They apply AI principles to their approach for startups. They iterate quickly. They fail fast. They learn constantly. They study top AI start-ups for inspiration. But they don’t try to replicate their exact strategies.
Most importantly, they never risk money they can’t afford to lose. The crypto market will humble anyone. AI doesn’t change this fundamental truth. Your success with crypto AI tools depends more on your discipline than the sophistication of your algorithms.
Remember: the house always has an edge. Your job is to find where that edge doesn’t apply. That’s the secret they won’t tell you.
AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
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