$MRNA ‌just suffered its steepest one-day collapse on record, and the technical damage suggests the bleeding isn't over.
Trading Plan Short MRNA
Entry: 200.00 - 205.00
SL: 220.00
TP1: 195.32
TP2: 185.00
TP3: 175.00
MRNA is down a brutal 17.60% today at $202.63, crashing from the $245.94 previous close to a low of $180.83. The 4-hour chart shows a violent breakdown: price is trading far below MA5 at $224.71, MA10 at $224.70, and MA30 at $213.88. That is a textbook bearish stack with the shorter-term averages collapsing beneath the longer-term ones. The MACD is deeply negative with a histogram

Immigration policy gets argued from both sides, but the economic numbers don’t lie: if the government doesn’t get its spending under control, the country won’t be able to keep going forever. Once it tightens the purse strings, cuts will inevitably lead to deportations; everything else is just a narrative setting the stage for that. The hardest part of trading isn’t calling the direction—it’s waiting for a signal you understand. If you see it differently, explain why.

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$3.13B in Bitcoin options settles at 08:00 UTC on Oct 23, yet option prices imply a move of only ±0.24% into it. $BTC trades a hair under $82,250, the strike where holders as a group lose the most.

Chinese Long Read | Why Does an Effective Trading Strategy Suddenly Stop Working?
Many traders run into this problem:
A strategy delivers consistent profits and has a beautiful backtest curve, but a few months later, the same parameters and signals start generating frequent losses in live trading.
Is the problem really with the strategy itself?
Not necessarily. A strategy’s effectiveness often depends on the market environment it operates in, not on how much profit it has generated in the past.
There are at least four aspects of the market environment worth paying attention to:
1. Changes in t

Boss Wang has had enough of netizens’ mockery and is starting to fight back

Down 2.45%, yet six hourly candles are climbing. Weird, right?
84.09 was the lower wick of this morning’s 8 a.m. candle, the deepest cut
Now $INTC is trading at 87.22, above the MA20 at 86.71
It’s 2 a.m. on the U.S. East Coast, and the U.S. stock market isn’t open
This chart shows the token moving on its own, not premarket pricing
The six rebound candles peaked at 75k in volume; the sell-off peaked at 180k
That little rebound had only 40% of the sell-off’s volume
Who bought at 84? Limit orders, not chasers
Limit orders get filled in ten batches; chasers buy it all at once
So this is a recover

$AGT Watch out, ⚠️⚠️ is plunging again

$NVDA ‌ is testing a critical support level, and a drop below it could trigger a rapid slide as institutional money exits the tech sector.
Trading Plan Short NVDA
Entry: 212.00 - 215.00
SL: 220.00
TP1: 209.00
TP2: 200.00
TP3: 190.00
NVDA is down 4.31% today at $212.29, and the chart is clearly bearish. Price is trading below all three key moving averages: MA5 at $217.04, MA10 at $216.69, and MA30 at $225.71. This is a textbook bearish stack, with the shorter-term averages pointing down and the longer-term MA30 way overhead. The MACD is also confirming the downside, with a histogram of -0.47 a

Is Buffett about to make a move? The Nasdaq plunged nearly 3%, and the man sitting on a huge pile of cash is back on the market’s radar.
The U.S. stock market has had a rough couple of days.
The S&P 500 fell 1.21%, the Philadelphia Semiconductor Index dropped more than 6%, and the Nasdaq fell 2.6%, while the Dow managed to close slightly higher.
Tech stocks took a beating this time, and Meta deserves some of the blame.
Revenue beat expectations, yet the stock fell nearly 7%. The reason isn’t complicated: AI spending keeps growing, and the market is starting to wonder when that money will actua

$DOT I chased the long at 1.14 this time. I’m now up 3.2%, with 30% of my position in and a hard stop at 1.098.
Let me review this trade. The night before last, DOT was hovering around 1.10. When the 24-hour low hit 1.1009, I watched the order book for half an hour. Buy orders were clearly thicker than sell orders, and trading volume at 63.6M showed buyers stepping in at the lows. I didn’t rush in. I waited for it to break above the previous high of 1.13 and retest successfully, then my limit order at 1.14 was filled. I was actually pretty calm after entering because my stop was just below the

Just saw an Instagram vid from some dude who bought shares of listed companies so he could get into the shareholder meetings for 'free' food
$18 spent to eat for free each year, and rate it for your Instagram clout
Amazing times 😹😹

Why is my ChatGPT so stupid?
Everyone in the group is making a killing, and I haven't even logged into my wallet 😭

How can you tell whether a trading strategy has a genuine statistical edge rather than making money through luck?
In trading markets, one of the easiest things to misjudge is treating making money as evidence that a strategy works.
A string of winning trades could mean the strategy has an edge, or it could simply have encountered market conditions that suited it.
So how can you distinguish between the two?
The key is not how much a few trades earned, but whether the strategy has a repeatable positive expectancy after costs under sufficiently reasonable testing conditions.
1. First, understand

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U.S. Earnings Season Spotlight: Mag 7 Under the Microscope – AI Spend, Beats, and the Reality Check
U.S. earnings season is in full swing this October 2026, with the Magnificent 7 (and close peers) delivering the key signals on growth, AI investment returns, and market appetite. After a mixed start to Q3 reporting—S&P 500 early results showed strong overall EPS growth but more modest revenue beats—the focus has sharpened on Meta, Tesla (both reported Oct 21 after close), and the upcoming slate of Microsoft, Alphabet (around Oct 28), Amazon (Oct 29), Apple (early November), and N

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U.S. earnings season is heating up, with Tesla and Meta having already reported results, while Microsoft, Alphabet, Amazon, App