#BitcoinTops$82K Friends, you don’t need to be in the market all the time. Save your bullets, get plenty of rest, and eat well. Conserving your energy and re-entering at crucial moments is the best strategy. Trying to profit from every upswing and downswing just isn’t realistic.$SOL

$Q's data looks off. Its 24-hour range exceeded 43%, plunging to a low of 0.0870 before rebounding above 0.11, while trading volume surged to 1.13 billion—price down 10% but volume exploding. This isn't ordinary shakeout.
Three possibilities: first, whales are wash trading to create panic and accumulate; that wick at 0.0870 is evidence. Second, a cascade of futures liquidations, with leveraged positions pushing the price through the floor in an instant. Third, someone knew something in advance and is selling, but buyers are equally aggressive.
The chart looks more like the first scenario to me

Currently, $BTC ’s weekly K-line structure looks very similar to that in March 2022.
A confirmation candlestick for a false breakout is still missing. For now, we can only make a blind bet on either direction, with a higher probability of a move downward.

🤖 A Creator Sent His AI to an AI Job Interview and It Negotiated a Lower Salary
American comedian Graham Dot Zip tested what happens when two AI agents handle a job interview instead of a human candidate and recruiter. The experiment quickly turned into a comedy sketch.
⏺ The AI embellished his résumé. His agent, Victor, described him as a “marketing superstar” and claimed he had managed a team something that had never happened. Graham had to correct his own AI.
💬 Salary negotiations went off track. Graham wanted $140,000–$150,000 a year, but his agent claimed he would accept just

$XAUUSD Congratulations to the gold-only members for cashing in on gains and securing their profits. Software signals are shared with
those working alongside us. #

GM,
The pullback from the highs in this round of U.S. stocks is pretty much over.
$MU $SKHY and a bunch of other memory stocks have fallen nearly 40% at their worst.
Back during the AI bull market, everyone said they’d buy the dip once SK broke 1,000. Why is nobody daring to now?
But then again, might as well stick with the U.S. market’s golden child, $MU . Feels like the Korean retail investors are about to get completely wiped out.

Week 74 check-in: down 9,000 this week; 1.5 million target (50+100 plan) - 316,000 market value - 200,000 (withdrawal) + 200,000 deposit = 1.184 million.

zcash:native bottomed
Falling wedge results in violent green vertical candle up back to $1600 - $1800
#crypto

#ZEC #ZEC Buying the dip in ETH, ZEC's big rebound—nice, nice, 🤤🤤🤤

BTC 81700 short in profit, 80800 take profit, BTC 80800 long in profit, 82000 take profit
ETH 2417 short in profit, 2325 take profit, 2325 long in profit, 2400 take profit, profits on both long and short trades

Quant says a firm could settle an FX trade across the UK's GBTD and The Clearing House's US network, both powered by Quant, with no direct link between them. GBTD lets any member ask another to lock funds for the trade.
@quantnetwork

October 19 Gold Morning Brief
Last Monday, gold consolidated on lower volume around 4170 while awaiting CPI; after U.S. September CPI came in at +3.7% year over year on Wednesday, prices plunged, touching a low of 4073; on Thursday, bulls staged a comeback, with gold rising 1.61% for the day to close at 4171; on Friday, after Fed Chair Warsh’s speech in Bangkok, gold surged to 4198 but failed to hold, then turned lower and closed around 4165. Gold fell 0.14% that day and 0.68% for the week, tracing a roller-coaster path of “falling first, then rising, then pulling back.”
At today’s open, gold

$LSK Same 1000U, wildly different outcomes. I chased in at 0.2198 and cut at 0.1839, leaving me with 769U from my 1000U. The 15.55% drop in 24h hit hard. In retrospect: I bought near the 24h high, hoping for a rebound; when it fell to 0.19, I didn't stop-loss, still holding out hope; only when it hit the low of 0.1804 did I panic and sell at the bottom. Trading volume of 26.2M wasn't small, but catching a falling knife among the top losers is just asking to lose. Lesson: chasing highs without setting a stop-loss is handing your account over to the market. If you still want to trade it now, wa

Don’t rush to chase.
Left: 03:00 a.m., 208.48
Right: four hours later, 223
Middle: now, 218.93
The same $MRNA , with just $77k traded in 24 hours
With liquidity this thin, even a slightly larger order can draw upper and lower wicks
Scenario one: hold above 220.22 and take out 223, and the weekend range will have finally broken to the upside
Scenario two: fall back below 216.94, and it’ll have to revisit that wick at 208.48
I’m not guessing which way it goes (those with no position are the freest)
Of the 14.52 points from 208.48 to 223, half were drawn by wicks
Whoever moves first is wrong; I’ll

$NQ
Dumped right into the PoC + filled the inefficiency created by the September FOMC pump
Not saying we can't go lower but it looks like a bad level to start being bearish

Injective says it has produced more than 3 billion transactions. More than 46M of those came in the past 30 days alone.
@injective

296.33. 310.77. Fourteen points apart.
10-18 05:00 wicked down to 296.33, closed at 300.72
10-19 03:00 closed at 300.23
04:00 tested 299.82 again, then recovered to 300.32
05:00 closed at 300.67
06:00 closed at 302.77
07:00 closed at 304.5
08:00 touched 310.77, then fell back to 306.55
The upper wick left by that one-hour candle was 4.22 points
And the entire market saw only $93k in trading volume over 24 hours
$SNOW This wick, I won't chase
Let's talk again if it gets back above 310.77; a break below 296.33 changes the script
(Not investment advice; trade at your own risk)

🚨📉 US MEMORY STOCKS EXTEND LOSSES — IS THE MEMORY CHIP SECTOR FACING A NEW MARKET CHALLENGE?
#USMemoryStocksExtendLosses
The US stock market is drawing attention as memory stocks extend their losses, putting the semiconductor industry and the broader technology sector under the spotlight. Memory chips are essential components in everything from smartphones and personal computers to cloud infrastructure, data centers, and artificial intelligence systems. When shares of memory-related companies decline for an extended period, investors naturally begin asking important questions about valuation