Whale moves $16M into altcoins – Are DeFi tokens near a bottom?

ambcrypto2026-03-24 tarihinde yayınlandı2026-03-24 tarihinde güncellendi

Özet

A whale withdrew $16.06 million from Binance on March 24, 2026, to acquire a basket of DeFi-related altcoins, signaling potential early positioning amid a prolonged market downturn. The purchases included $4.07M in ENA, $3.64M in AAVE, $2.37M in AVAX, $2.13M in UNI, $2.05M in ONDO, and $1.81M in PENDLE. Most of these tokens remain more than 80% below their 2025 highs, but some show tentative signs of stabilization or minor bullish momentum. While one whale’s action doesn’t confirm a market-wide reversal, it suggests strategic accumulation at perceived lows. If these assets hold their current structure and begin to recover, it could indicate an early rotation into DeFi tokens.

Altcoins are under pressure, but whales are beginning to circle back in.

Most tokens remain far below their 2025 highs, while many holders have endured four years of pain with almost nothing to show for it. However, this wallet did not chase strength. It targeted battered DeFi-linked names near the floor. So, what exactly did it buy?

Whale pulls $16M in altcoins from Binance

On the 24th of March 2026, whale 0x04d8 pulled $16.06 million from Binance.

The wallet loaded 43.49 million ENA valued at $4.07 million, 32,872 AAVE worth $3.64 million, 249,741 AVAX worth $2.37 million, 595,886 UNI worth $2.13 million, 8.07 million ONDO worth $2.05 million, and 1.49 million PENDLE valued at $1.81 million.

Was that random? No. The wallet leaned hard into DeFi-linked names. Therefore, this looked less like blind gambling and more like early positioning. Someone stepped into weakness while most of the market kept staring at broken charts and broken confidence.

Big bet lands on DeFi-linked names

At press time, Ethena [ENA] had broken out of its downtrend after an 89% collapse from its 2025 high near $0.8727, then started ranging sideways near the lows.

Aave [AAVE] showed signs of weakness. After peaking near 399 in 2024 and 387 later, it completed a double top, dropped hard, and even lost ascending support around 123.

Avalanche [AVAX] looked more constructive. It had flashed a bullish MACD crossover and started pressing against a multiyear downtrend, with $14.75 and $38.48 as early targets if that line broke.

Uniswap [UNI] followed a similar script, still trading near support while leaning toward its own multiyear downtrend, with $15 and $20 standing out before any real test of $45.

Ondo [ONDO] had already broken out of its downtrend after a 78%+ drawdown from its 2025 high and then moved sideways.

Pendle [PENDLE] stayed above the $1 support zone, while lower-timeframe momentum started picking up.

Even so, most of these names were still trading more than 80% below their 2025 highs.

Is a DeFi rotation about to begin?

Was this the sign of a DeFi rotation? Not yet. One wallet did not repair a market that had punished altcoin holders for years. However, these were the kind of withdrawals whales made near bottoms, not tops.

The real takeaway is that the wallet bought into altcoin weakness. If these assets continue to hold sideways and begin reclaiming structure, talk of a DeFi rotation will quickly stop sounding premature.

Final Summary

This whale targeted damaged DeFi names at depressed levels, and that made the move serious.
If structure kept improving across this basket, the market could be witnessing early rotation.

İlgili Sorular

QWhat specific altcoins did the whale purchase with the $16 million withdrawn from Binance, and what were their respective values?

AThe whale purchased 43.49 million ENA ($4.07M), 32,872 AAVE ($3.64M), 249,741 AVAX ($2.37M), 595,886 UNI ($2.13M), 8.07 million ONDO ($2.05M), and 1.49 million PENDLE ($1.81M).

QAccording to the article, what common characteristic did all of the purchased tokens share?

AAll of the purchased tokens were DeFi-linked names, indicating the whale was making a targeted bet on the decentralized finance sector.

QWhat was the technical condition of Avalanche (AVAX) at the time of the article, and what were its potential price targets?

AAvalanche (AVAX) had flashed a bullish MACD crossover and was pressing against a multiyear downtrend. The early price targets if the downtrend broke were $14.75 and $38.48.

QDoes the article conclude that a DeFi market rotation is definitively underway based on this single whale's action?

ANo, the article states that one wallet does not repair a market and that it is not yet a sign of a DeFi rotation. However, it notes that these are the types of withdrawals whales make near bottoms.

QWhat is the key takeaway from the whale's investment strategy as described in the final summary?

AThe key takeaway is that the whale targeted damaged DeFi names at depressed levels, making the move serious. If the price structure improves across this basket of tokens, it could signal an early stages of a market rotation.

İlgili Okumalar

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit28 dk önce

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit28 dk önce

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbit28 dk önce

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbit28 dk önce

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

Coldcard hardware wallet users are facing a new wave of coordinated attacks targeting a firmware flaw, with researcher Alex Thorn flagging 218 recent transactions moving approximately 389 Bitcoin from potentially impacted addresses. The attack pattern shows a high rate of transactions targeting unique victim addresses, differing from previous waves. The vulnerability, which causes affected devices to generate weaker wallet seeds, is estimated to have impacted over 1,100 wallets, leading to around $90 million in Bitcoin stolen. Thorn advises affected users who control their keys may attempt to move funds with a higher-fee transaction before the attacker's transactions are confirmed.

cointelegraph35 dk önce

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

cointelegraph35 dk önce

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

Bitcoin miners are capitulating as evidenced by a sustained drop in network hash rate and a record-steep 19.9% decline in mining difficulty, signaling the shuttering of unprofitable machines. However, in a significant divergence from historical patterns, the stocks of publicly traded mining companies have soared, with one major player gaining over 430% in the past year, even as BTC's price fell roughly 46%. This surge is largely attributed to these companies pivoting toward the more lucrative AI narrative. Simultaneously, miners face a structural squeeze. Daily block reward revenue in BTC terms has hit a new all-time low following the latest halving, with current dollar-denominated daily revenue around $30 million compared to a longer-term average of ~$40 million. Fee revenue remains negligible, covering less than one block's subsidy over a 28-day average and accounting for only about ten minutes of the network's daily security budget. This capitulation cycle is unique: miner stress and crypto price weakness have decoupled due to alternative revenue streams (AI), while the long-term reliance on increasing bitcoin prices to offset shrinking subsidies continues, with fee income still far from filling the impending gap.

marsbit39 dk önce

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

marsbit39 dk önce

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

The market's expectation for a September Fed rate hike surged dramatically in early August, jumping from under 50% to over 80% within a week. This shift followed a contentious July FOMC meeting, where a 9-3 vote to hold rates revealed growing dissent from hawkish members advocating for an immediate hike to combat persistent inflation. The primary catalyst for this repricing is rising oil prices, driven by renewed geopolitical tensions around the Strait of Hormuz, which threaten global supply. Energy costs directly influence inflation metrics, making the upcoming July CPI report (due August 12th) a critical data point. If it shows inflation reaccelerating, the probability of a September hike will solidify. For Bitcoin and crypto assets, this is typically bearish news. Bitcoin continues to behave as a high-beta, liquidity-sensitive risk asset. A rate hike raises the opportunity cost of holding non-yielding assets and could drive capital toward money markets, pressuring crypto prices in the short term. However, historical patterns suggest that if a hike is perceived as the end of a tightening cycle rather than the start, any negative price impact may be brief. U.S. stocks, particularly crypto-linked equities like Coinbase and growth-oriented tech stocks, are also vulnerable. Higher rates increase discount rates in valuation models, putting pressure on high-multiple companies. This coincides with a pivotal tech earnings season where investor focus has shifted from massive AI capital expenditure to tangible revenue and cash flow generation. Companies with negative cash flow and weak growth narratives could face heightened volatility if borrowing costs rise in September. In summary, a September Fed hike has evolved into a mainstream market scenario. Key factors to watch are oil prices, the July CPI report, and Fed communications, which will determine the final decision and its impact on volatile crypto and equity markets.

marsbit39 dk önce

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

marsbit39 dk önce

İşlemler

Spot