⚙️The gears of fate begin to turn

$ATOM looks bullish after that breakout. We could see a pump coming, so track it.

In the first nine months of 2026, @USDC has processed $53.2 trillion in transfer volume.
Source: @artemis

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The gold short position I’m holding started giving back gains today
The two-month low it had just touched on Wednesday bounced back in a single day
Trump said overnight that he wouldn’t strike Iran, so the war premium was pulled out of oil prices
Treasury yields have been moving lower for two straight days, and gold surged right along with them
AEM gained two and a half points, and mining stocks were green across the board
On Monday I said the selloff in mining stocks needed to continue today I had to eat my words
I haven’t touched the short position, not even trimmed a single unit

Scrolling through the biggest decliners, I came across $NEAR and took a quick look for you. It was down 3.7%, with 240 million U in trading volume. Volume hasn’t picked up—it’s the kind of slow, grinding drift lower.
Fun fact: NEAR has been trying to build infrastructure for AI for years, but despite hyping the narrative for so long, the price action is still the same. This appearance on the list is purely funds moving things around, with no real new story.
What can I say? If you want to play it, you can try it out with some spare money. $NEAR

$MAGIC It rose nearly 40 points in one day, with 24h volume at 65M—retail traders couldn’t have driven that. When U.S. Treasury yields spiked in the early session, GameFi funding rates collectively turned negative, a short squeeze triggered cascading liquidations, and 0.0606 was pushed straight to 0.0906. Looking at quantitative correlations, MAGIC’s negative correlation with Nasdaq futures has reached around -0.7 in this move—when the dollar weakens, it strengthens. Chasing the top now is just handing tokens to the market makers. My strategy: take a light position at 0.086-0.089, set a stop-

In a Truth Social post, Trump assured supporters that the U.S. will not attack Iran “at any time” before the midterms. He also revealed that the U.S. was having productive discussions with Iran.
The shift eased some geopolitical risk concerns, while oil prices also pulled back from recent highs. $BTC ’s ability to hold above $81K could be important for the rebound, but negotiations remain unresolved, so renewed tensions could quickly reverse the move.
With Trump’s statement, Bitcoin traders increased their bets. Specifically, they bet the U.S.-Iran ceasefire will last until mid-November. Polyma

#Bitcoin Power Law Oscillator 📉
📝 The oscillator tracks $BTC deviation from its long-term trajectory. Current reading sits at -0.32, hovering right along the green Undervalued threshold (-0.30).
📍 Historically, sustained dips below this green baseline mark generational macro accumulation phases, far below the Fair Value (0.0) median.
💡 With price consolidating near ~$86K, the model shows Bitcoin remains fundamentally discounted relative to its multi-year power law corridor.

Poor guy!
4 months ago, he bought 80 $BTC ($5.2M) at a low price of ~$65,000 and was sitting on a $1.38M profit.
But a week ago, he bought a Ledger device from reseller CryptoBillis and deposited all 80 $BTC into it.
Now he's lost everything.

I’ll prove the doubters wrong. Although the short position I called during the afternoon livestream hit its stop-loss, in this move at the U.S. market open, I led the community in identifying the market maker’s liquidity hunt. After the wick to 2473, I led the community to go long at 2482–2479 and take profits; we’ll continue holding for the top of the range.

🐋 245 BTC just moved on-chain, worth $20,306,567 at current price.
Whale wallet activity worth tracking.

$ETH Stop acting. Get ready to dig in.

Short-selling plan $US
Entry: 0.03576-0.03998 Stop-loss: 0.04226 Take-profit: 0.03134 Take-profit: 0.02527 Take-profit: 0.01517 Trade here $US 👇

Shill me your #Crypto Moonbags that's ready to Lambo ___? 📈💼⚡💎

These six people, five are immigrants.
One refugee, two H1B holders, and the parents of the other two U.S.-Taiwan dual nationals (Huang and Su) immigrated through F1, F2, and skilled- and talent-based immigration.

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