-Bitcoin failed to close above the $80K level on the daily chart, aligning with a key upper trendline resistance.
-Price remains within a 1D bear flag formation.
-A strong breakout into the $80K–$85K range, supported by solid buying volume, would invalidate the bearish setup.
We’re about to enter May, and historical returns suggest it’s typically a weak month for Bitcoin.
Market Red means Green for Real Traders. 🟢 BUY NOW - Catch the reversal before it lifts off. 👉 DON'T MISS the Opportunity. 👈 🟢 INVEST NOW - Big Opportunity. 📈
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DYOR
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$53,000,000 in short positions liquidated in the past hour.
Market Red means Green for Real Traders. 🟢 BUY NOW - Catch the reversal before it lifts off. 👉 DON'T MISS the Opportunity. 👈 🟢 INVEST NOW - Big Opportunity. 📈 $POWER $PENGUIN $BTC
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JUST IN: #Bitcoin❗ rips above $79,000 🚀 👇👇👇 Market Red means Green for Real Traders. 🟢 BUY NOW - Catch the reversal before it lifts off. 👉 DON'T MISS the Opportunity. 👈 🟢 INVEST NOW - Big Opportunity. 📈
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$TANSSI
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BITCOIN has reclaimed the $78,450 level, its highest in two months.
Looking at CME futures, there is still a huge open gap at $84,000 that has remained unfilled since January.
Price is now expected to potentially move higher to close this gap soon. Around $5 BILLION worth of short positions is at risk of liquidaton if the price hits this levels.
He said the Pakistani Prime Minister and Field Marshal are “good people” and praised Pakistan for its cooperation. He also mentioned he would consider visiting Pakistan including Islamabad especially if a deal is finalized there.
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BREAKING: Israel and Lebanon have agreed to a 10-day ceasefire set to begin at 5 PM ET today according to Donald Trump.
Bloomberg charges institutions $27,000 a year. An open source project on GitHub is quietly doing most of the job for free.
FinceptTerminal. 2,600 stars. Active development. Pure native C++20 desktop app with Qt6 and embedded Python. Runs on Windows, Mac, and Linux.
And unfortunately, that's why I'm not forking it and creating a special customized Sean Donahoe version for my private clients.
The AGPL license prevents commercial use, but I've got to admit, it's a bloody good piece of kit.
I have been running it on one of my rigs, and the potential is seriously good for those that like data (and we all know I am a data nerd...)
Features that made me pay attention:
• 19,000+ instruments with real-time OHLCV • 100+ data connectors: Polygon, Kraken, Yahoo, FRED, IMF, World Bank, AkShare, government APIs • 20+ investor personas baked in (Buffett, Dalio, Graham) plus Bridgewater, Citadel, and Renaissance style hedge fund logic • Local LLM support plus OpenAI, Anthropic, Gemini, Groq, DeepSeek, Ollama • Full CFA Level 1, 2, 3 curriculum implemented as Python modules • DCF, portfolio optimization, VaR, Sharpe, derivatives pricing • 50+ technical indicators • Cross-domain integration Bloomberg cannot match: maritime shipping feeding commodity signals, geopolitics into currency hedging, supply chain into portfolio optimization
Between a book I am writing and the AI software I am building, I have no bandwidth to white-label this for retail traders myself, and the AGPL license would make that a licensing nightmare anyway.
I could rebuild it from scratch, but bugger that.
But even out of the box, this thing is bloody good.
If you are trading, analyzing markets, or running a fund and you are not at least poking at this, you are leaving alpha on the table.
This is the story of Hyperliquid, the startup considered the most profitable per employee in the world, operating from a secret guarded office in Singapore.
Last year, a team of only 11 people generated $900 million in profit. A company just 3 years old, with zero venture capital funding, now starting to reshape how global markets operate.
Its founder, Jeffrey Yan, had never studied physics when he picked up his first physics book at age 16. Just two years later, he won gold at the International Physics Olympiad.
In 2019, he began trading with only $10,000 from his living room in Puerto Rico, using a TV as a monitor because he couldn’t afford a real screen.
Within three years, he was running one of the largest anonymous crypto trading firms in the market.
Then… he shut it down.
Although wealthy and financially free, Yan had spent years watching crypto betray its original purpose. The idea behind Bitcoin was decentralization… Yet the biggest exchanges remained centralized. Crypto kept recreating the same trust-based systems it was meant to replace.
So he decided to build what should have existed from the start.
Hyperliquid is a blockchain with a trading exchange built on top, where anyone can build applications. Yan’s vision is to bring all of finance onto one network.
In just 3 years, the platform has processed over $4 trillion in trading volume. And recently, it has expanded far beyond crypto.
Markets like:
Oil Silver S&P 500
are now trading on Hyperliquid 24/7, including weekends, with growth nearing 40% week-over-week.
When United States and Israel bombed Iran on a Saturday in February, traders rushed to Hyperliquid.
But that success came at a cost.
Yan now works from a secret office in Singapore, and cannot travel without two bodyguards. Even the team’s housekeeper has no idea what they actually do.
🐋 Whale Watch: Liquidity Building Around $CREAM, $FLY & $ELF 🚨⚡ Smart money is quietly positioning… liquidity is stacking up around $CREAM , FLY, and ELF 👀💧
📊 These zones often act as liquidity traps — prime targets for whale manipulation
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⏳ Traders are waiting for confirmation… while volume continues to rise 📈 🚀 Large players may exploit these levels to trigger fast moves, putting pressure on positions caught on the wrong side 😬 ⚡ The chart looks like a compressed spring — ready to release 💪 The real move begins only when buyers step in and hold the structure 🧠 Risk management remains key — whales create the move, but discipline protects your capital ⚠️
🚨🚨Always remember this: the market dumps much more heavily than it pumps.🚨🚨 One thing you should always keep in mind is that when you buy something, you think a lot before buying, you consider whether you should buy it or not and how much you should buy. But when it comes to selling, your decision is immediate; you quickly decide to sell, even if you are at a loss at that moment.
This is psychology that you need to understand. Whenever a person buys something, they think a lot before making the decision, but when it comes to selling, they usually don’t think at all. they just sell immediately.”**
To understand crypto properly, you need to learn it yourself. I have been guiding many people and I have never refused anyone for guidance. So my advice is that before getting trapped in this, first understand crypto properly.
🚨🚨Always remember this: the market dumps much more heavily than it pumps.🚨🚨 One thing you should always keep in mind is that when you buy something, you think a lot before buying, you consider whether you should buy it or not and how much you should buy. But when it comes to selling, your decision is immediate; you quickly decide to sell, even if you are at a loss at that moment.
This is psychology that you need to understand. Whenever a person buys something, they think a lot before making the decision, but when it comes to selling, they usually don’t think at all. they just sell immediately.”**
To understand crypto properly, you need to learn it yourself. I have been guiding many people and I have never refused anyone for guidance. So my advice is that before getting trapped in this, first understand crypto properly.
Same chart. Different timeframes. Different clarity 📊
From 4H → 1H → 15M → 5M, the story becomes clearer 🔍 What looks like noise on lower timeframes is actually a clean reaction from higher timeframe demand 🎯
💡 How to read this: • 4H = key zone (where smart money acts) 🧠 • 1H = confirmation of reaction 🔄 • 15M / 5M = precise entries (IMB / structure) ⚡
👉 The edge isn’t just the setup… it’s the alignment.