The 10 bad habits killing traders:
1️⃣ Overtrading
2️⃣ No trading plan
3️⃣ Risking too much
4️⃣ Moving stop loss
5️⃣ Revenge trading
6️⃣ FOMO entries
7️⃣ Cutting winners early
8️⃣ Holding losers too long
9️⃣ Ignoring the journal
🔟 Blaming the market
🇮🇳 An 18-year-old from Kasganj, UP, who never finished Class 11 built 121 fake banking apps using YouTube and AI tools.
21,672 people downloaded them. 2,928 victims lost a combined ₹65 crore.
He didn't need a computer science degree. He needed a subscription model and an audience willing to pay for malware.
🔥BREAKING: Nvidia CEO Jensen Huang pushes back against efforts to ban Chinese AI models in the US.
In an interview with Axios, Huang said US firms should "ABSOLUTELY" be allowed to use Chinese models.
"These Chinese models are excellent."
"The market's misunderstood the impact of DeepSeek the first time. It's misunderstood the impact of Kimi again this time."
"With great open AI models, it's great for the whole industry."
"Great models lead to great use, which leads to great growth."
Huang’s statement directly challenges Trump officials and US labs seeking to shut Chinese AI models out.
BREAKING: Trump Media to sell "faster access" to President Trump's Truth Social posts, which will let traders and investors pay for real-time feed of Truth Social posts.
We're looking for a small group of testers to try something new before anyone else.
It's early, it's closed, spots are limited. You'd use it for real and tell us what works and what doesn't.
If u trade onchain and you're curious where AI fits in,
apply: https://t.co/S56IRGrOVh
THE NEXT BIG ROTATION ISN'T IN — IT'S OUT
Everyone's watching capital pour into AI right now.
The smarter question: where does it go after?
Adam Back's logic is simple:
→ AI profits get realized
→ That capital needs a new home
→ History says it doesn't stay in crowded trades
The pattern repeats every cycle:
Liquidity chases the hot narrative
Narrative gets crowded → liquidity gets nervous
Nervous capital seeks safety
Safety, eventually, means Bitcoin
The real signal to watch: not AI valuations themselves, but the moment profit-taking in AI accelerates. That's the trigger point for the rotation, not the AI bubble "bursting" per se.
A couple of caveats worth holding alongside this, since it's a thesis, not a guarantee:
Saylor's been framing the current outflows from Bitcoin into AI as the opposite rotation — temporary, but real money has been leaving BTC ETFs for AI infra over the past couple months
"Capital eventually finds safety" assumes BTC is treated as the safety asset of choice — that's contested; in a real risk-off shock, capital sometimes just goes to cash/treasuries first
Timing this is the hard part — Back himself says BTC might not even need a trigger event to re-rate higher