Why OG Bitcoin whales may not be cashing out


“OG Bitcoin whales are dumping,” is the overarching narrative surrounding the latest Bitcoin selloff. Yet, amid nonstop chatter that Bitcoin’s earliest supporters are behind its latest price slide, on-chain analyst Willy Woo points to “nuance” in the metrics. On-chain moves don’t tell the full story; the old-guard may not be caving in just yet.

Are OG Bitcoin whales cashing out? The narrative

Charles Edwards of Capriole Investments published a chart painting 2025 as a “very colorful” year for whale activity, with a string of $100 million and $500 million Bitcoin spends traced from addresses untouched for more than seven years. He concluded:

“OG Bitcoin whales are dumping.”

OG Bitcoin whales are dumping
OG Bitcoin whales are dumping

Over 1 million BTC have moved since June, dramatically outpacing prior cycles and handing analysts the simple conclusion that whales are cashing out. Alex Krüger highlighted how this pattern marks a break from previous market cycles. Whale selling has been steady for nearly 12 months, contributing to Bitcoin’s underperformance against other risk assets.​ He stated:

“Chart shows OG Bitcoin whales have been dumping non-stop since November 2024.”

Horizon’s Joe Consorti chimed in, posting:

“OG bitcoin whales are dumping and sentiment is horrible.”

He noted how much the market has changed as Bitcoin’s early advocates are giving way to TradFi giants like JPMorgan, and “99.5% of funds in the spot bitcoin ETFs haven’t sold in this 20% drawdown”

ETF investors: The “boomers” who didn’t flinch

And while insiders appear to be fleeing like rats from a sinking ship, senior ETF analyst at Bloomberg, Eric Balchunas, points out that the “boomer” Bitcoin ETF buyers are holding strong. Bitcoin ETFs have seen less than $1 billion in outflows, even as spot Bitcoin fell 20%. He questioned:

“So who’s been selling? To quote that horror movie, “ma’am, the call is coming from inside the house”

The ‘nuance’ beneath OG Bitcoin whales’ moves

Yet amid the supposed avalanche of OG selling, Willy Woo, widely respected for on-chain analytics, cautions against reading every movement of ancient coins as dumping. His analysis points out three key things often misinterpreted as sales but which may have nothing to do with price-driven liquidation:

  • Address Upgrades: Many OG holders are moving coins from legacy addresses to Taproot addresses, seeking quantum security (not liquidating for cash).​
  • Custody Rotations: Coins may be shifted to institutional custody (e.g., with Sygnum Bank) for better protection against physical theft and wrench attacks, or posted as collateral to borrow against, with no sale required.​
  • Treasury Participation: Some “OG” coins are being moved into equity wrappers or treasury companies, allowing holders to leverage, borrow, or optimize their holdings without triggering a taxable sale.​

Woo points out that on-chain data only shows coins “moving,” not the real-world intent behind the transaction. So while headline charts point to OG Bitcoin whales “dumping,” the resilience of price under this massive movement highlights market absorption and deeper reasons than just whales cashing out.​

Data from Capriole, Bloomberg, and top traders all confirm heavy OG activity, but ETF outflows remain minimal, and the price, while pressured, absorbed more than 1 million BTC in sales with far less carnage than past cycles. Not all ancient coin movement is dumping, so pay attention to on-chain nuance rather than the rumors. What you see may not be what you get.



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It’s Not A Bubble, Because AI Is Already Running The Markets


Opinion by: Saad Naja, Founder and CEO at PiP World

While the world debates whether AI is the next dot-com bubble, chasing valuations rather than implications, they’re missing the underlying innovation story. The same AI infrastructure fueling trillion-dollar bets is already rewriting how money moves. AI is no longer an investment theme. It’s the market itself. 

What few noticed is that the same AI infrastructure driving the headlines is already reshaping the markets from within.

The invisible battle happening behind the candlesticks isn’t bulls and bears anymore; it’s between self-learning AIs that never sleep. 

Markets aren’t just humans using algorithms. They’re autonomous swarms fighting for milliseconds. Agents watch every market 24/7, spotting risks, debating strategies and executing without hesitation. 

The next traders aren’t humans

Recent breakthroughs in AI and blockchain acceptance have created the perfect conditions for agentic markets to flourish. AI provides cognition; meanwhile, blockchain supplies trust, verification and payment rails. This offers the medium for AI agents to transact, prove, and exchange value freely. 

AI has crossed the chasm from stock picker to near-autonomous day trader. It learns and acts faster than any human. It spots what humans miss, predicts the move before it happens and never second-guesses itself. It’s the ultimate insider, without inflaming the SEC. It’s early days for agentic AI in trading, but make no mistake — it’s here and already moving the markets while most traders sleep.

Agentic trading even in freefall

During the biggest crypto flash crash on Oct. 10, while the rest of the crypto market was in freefall, AI agents did the opposite. They stayed calm, shorted the chaos, and ended the week up 40%. They gave us a glimpse into the future of markets. One where the AI agents don’t just follow code, they respond like real traders. 

Algorithmic Trading Market (2025 – 2030)  Source: Grand View Research

Some cut risk instantly. Others waited for confirmation. A few leaned into the drawdown. What’s striking is not just the gains, it’s the composure. Each AI agent made its own independent decisions, yet collectively, they converged on profitable outcomes. That’s the essence of agentic intelligence, autonomous systems learning to interpret chaos as opportunity.

The rise of self-learning markets

Companies describe similar behavior within trading desks, where agentic systems parse live data from public disclosures and feed execution layers in real-time. Over time, agents evolve from code to cognition. Autonomous systems that read markets, understand intent and execute strategies on their own. Acting like a digital hive mind, adjusting logic mid-session as markets shift around them.

For years, quant funds and high-frequency traders have pitted humans plus algorithms against the market. Enter AI versus AI. Self-directed systems plan, reason and execute around the clock. What’s emerging is a battlefield of AIs — institutional, retail, and synthetic — talking to each other in real-time. 

When AI trades with AI, human intent disappears. Prices move on machine-to-machine negotiations, not emotion or fundamentals. The market begins to trade itself. 

Related: AI gives retail investors a way out of the diversification trap

A majority of global trading volume now runs through algorithmic systems, estimates ranging from 60% to 89%, depending on the market. Within months, Symphony’s agentic trading layer was clearing $140 million in transactions, working with 15 of the world’s biggest financial institutions to test self-learning yield and execution agents. 

Everyday investors can finally compete

For decades, investing was about finding an edge. AI gives retail investors that power for the first time. Retail traders can soon deploy the same logic once reserved for billion-dollar funds. Swarm intelligence that scans arbitrage, simulates momentum, hedges risk and executes collaboratively. It’s the retail equivalent of a hedge fund in your pocket.

The walls between institutional and retail finance are eroding. AI makes the 1%’s playbook accessible to the 99%. The next outperformers will deploy agentic swarms, rather than tracking indexes. 

When markets trade themselves

AI versus AI warfare will define liquidity, volatility and price discovery. Humans will still set direction, risk tolerance and capital allocation, but won’t press the buttons. Markets will begin to self-trade in swarms of autonomous participants. Power will shift to whomever fine-tunes the feedback loops. When agents detect each other’s footprints, they’ll evolve meta-strategies, sometimes to cooperate, sometimes to manipulate one another.

Trading floors are going quiet. The next generation of traders won’t shout orders; they’ll train AI agents. The winners won’t just be institutions, they’ll be retail traders who fine-tune their swarms alongside human judgment. We’re entering the agentic arms race.

Markets of tomorrow won’t sleep or panic. Agentic AI will learn, evolve, compete and occasionally conspire at breakneck speed. 

While institutions continue to build layers of agents, retail investors face a choice. Follow the herd into AI stocks, or start training their own AI as their wing(wo)man. They won’t have an AlphaGo moment. 

Quiet, relentless outperformance hides in the charts, open to anyone brave enough to seize their AI agent.

Opinion by: Saad Naja, Founder and CEO at PiP World.

This article is for general information purposes and is not intended to be and should not be taken as legal or investment advice. The views, thoughts, and opinions expressed here are the author’s alone and do not necessarily reflect or represent the views and opinions of Cointelegraph.