Breakout vs Fakeout: How to Spot the DifferenceHello, Traders! 🖖🏻
There’s probably no phrase that triggers more mixed emotions in crypto trading than: “Looks like we’re breaking out!”. Because let’s be honest…For every clean breakout that follows through with momentum…
…there’s a fakeout waiting to trap overconfident entries.
So, how do you tell the difference? Let’s break it down!
🧱 What Is a Breakout?
A breakout occurs when the price moves decisively beyond a key level, such as support, resistance, a trendline, or a range boundary, and holds.
What makes it a REAL breakout?
Volume Expansion: More participants step in as the price moves through the level.
Strong Candle Closes: Especially on higher timeframes like 4H or 1D.
Follow-Through: The market doesn’t just poke above the level. It builds on it.
No Immediate Rejection: You don’t see a sharp wick straight back below.
Example from BTC (2021):
Look back at January to February 2021. BTC had been stuck under the $42K–$43K resistance for weeks. Every push got sold off, until it didn’t.
When the breakout finally came, it was clean. The massive daily candle closed right through the level. Volume exploded. And there wasn’t even a polite little retest, price just launched straight toward $58K, leaving anyone waiting for a pullback completely behind.
Pure trend breakout energy. Everything lined up: the context, the volume, the structure — textbook 🤌🏻
🪤 What Is a Fakeout?
A fakeout, on the other hand, looks like a breakout… until it isn’t. The price briefly moves beyond a key level, but then snaps back inside the range, often trapping late buyers (or sellers) and triggering stop-losses.
Common Signs of a FAKEOUT:
Low or Declining Volume (at the breakout moment).
Quick Rejection with a Long Wick (especially on intraday charts).
Failure to Hold Above the Level on Retest.
Divergence Between Timeframes: For example, a 15M breakout that looks strong while the 4H still shows consolidation.
Classic BTC example:
This one was sneaky! After BTC hit its all-time high around $65K, the market started looking shaky. Price tried to recover by pushing back into the $58K–$60K zone, a pretty critical level at the time. It looked like a breakout attempt… but something was off. No real volume. No strong candle closes. And then, BOOM, hard rejection. The price popped just enough above resistance to lure in breakout traders (and probably clear out some stop-losses)… then completely reversed. And not just a minor pullback, this fakeout basically triggered the entire leg down toward $30K. Classic liquidity grab. The kind of move that looks like strength for a second… until it absolutely isn’t.
🕵️♂️ Key Differences: Breakout vs Fakeout (Checklist)
🧠 What Causes Fakeouts in Crypto?
Honestly, fakeouts aren’t some kind of accident. They’re almost baked into how crypto markets work.
Part of it comes down to simple liquidity hunting. The market knows exactly where traders tend to place their stop losses, right above resistance or just below support. Price often spikes into those zones, triggers stops, fills larger orders for bigger players… and then reverses completely.
Another reason? A lack of real conviction. Sometimes, it’s mostly retail traders chasing a move. Price pokes above a key level, but there just isn’t enough momentum to sustain it. Without bigger buyers or sellers stepping in, the move collapses right back.
And let’s be honest. When everyone on Crypto Twitter is watching the exact same level, fakeouts become almost inevitable. The more obvious the setup, the more likely it gets front-run, faded, or manipulated.
Plus, a huge mistake? People ignore the higher timeframe context. A breakout on the 15-minute chart might feel exciting… but if the 1D or 4H is still clearly in a downtrend, that breakout is fighting against the bigger picture. No surprise it fails. Fakeouts happen because the market’s job is to make most people wrong, at least for a moment.
🧭 Final Thought
Breakouts and fakeouts are part of the same game: they involve both liquidity and psychology. The market rewards patience, context, and waiting for confirmation. Sometimes, missing the first candle can save you from being a liability to someone else. So, next time an asset “breaks out,” take a second look. Is it really moving with force? Or is it just another trap waiting to be sprung?
What’s the last fakeout that caught you off guard? Drop your story in the comments. Let’s compare lessons learned!
Community ideas
GBP/AUD - Bearish Flag (10.07.2025)The GBP/AUD Pair on the M30 timeframe presents a Potential Selling Opportunity due to a recent Formation of a Bearish Flag Pattern. This suggests a shift in momentum towards the downside in the coming hours.
Possible Short Trade:
Entry: Consider Entering A Short Position around Trendline Of The Pattern.
Target Levels:
1st Support – 2.0671
2nd Support – 2.0607
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Understanding Elliott Wave Theory with BTC/USDIntroduction to Elliott Wave Theory:
Elliott Wave Theory is a popular method of technical analysis that seeks to predict the future price movement of financial markets. Developed by Ralph Nelson Elliott in the 1930s, the theory is based on the idea that market movements follow a repetitive pattern, driven by investor psychology.
At the core of Elliott’s theory is the idea that markets move in a 5-wave pattern in the direction of the trend, followed by a 3-wave corrective pattern. These waves can be seen on all timeframes and help traders identify potential entry and exit points in the market.
Key Concepts of Elliott Wave Theory:
1. Impulse Waves (The Trend)
2. These are the waves that move in the direction of the overall trend. They are labeled 1, 2, 3, 4, 5 and represent the price movement in the main direction of the market.
* Wave 1: The initial move up (or down in a bearish market). I like to mark up the first wave how I do my Fibs, from the point where price showed a major impulse.
* Wave 2: A correction of Wave 1 (it doesn’t go lower than the starting point of Wave 1).
* Wave 3: The longest and most powerful wave in the trend.
* Wave 4: A smaller correction in the direction of the trend.
* Wave 5: The final push in the direction of the trend, which can be shorter and weaker than Wave 3.
3. Corrective Waves (The Pullbacks)
4. After the five-wave impulse, the market enters a corrective phase, moving against the trend. This corrective phase is generally a 3-wave pattern, labeled A, B, C:
* Wave A: The initial correction, typically smaller than Wave 3.
* Wave B: A temporary move against the correction (it often confuses traders who think the trend has resumed).
* Wave C: The final move against the trend, usually the strongest and most aggressive.
How to Implement Elliott Wave on BTC/USD:
Let’s break down how you can apply the Elliott Wave Theory to BTC/USD using a simple example.
1. Identify the Trend
2. Start by identifying the current market trend for BTC/USD. Are we in an uptrend or downtrend? This will determine whether you’re looking for a 5-wave impulse up (bullish) or down (bearish).
3. Locate the Waves
4. Look for the five-wave structure in the trend direction. Once you identify a potential impulse move, label the waves accordingly:
* Wave 1: A new uptrend starts.
* Wave 2: A small pullback (usually less than the size of Wave 1).
* Wave 3: A significant surge in price, often the most volatile.
* Wave 4: A smaller pullback or consolidation.
* Wave 5: The final push higher, which might show signs of exhaustion.
5. Corrective Phase
6. After completing the 5-wave impulse, expect a corrective 3-wave pattern (A, B, C). These corrections typically last longer than expected and can often confuse traders.
* Wave A: Price starts to reverse.
* Wave B: A retracement that may confuse traders into thinking the trend is resuming.
* Wave C: A strong pullback that brings the price even lower.
7. Use Fibonacci Levels as confluence
8. One of the most powerful tools in Elliott Wave analysis is Fibonacci retracement levels. You can use these to predict potential levels where Wave 2 and Wave 4 could end, or where Wave C might complete the correction. Common retracement levels are 38.2%-50% for Wave 4, and 50-61.8% For Waves 2 and B but keep in mind, these wave can retrace up to 100% before the wave analysis becomes invalid. But ideally these points are where you look to make an entry.
Wave 2 Example:
This one hit the golden spot (0.5-0.618) perfectly and continued to push upward.
Wave B and C Example:
This example hit closer to the 0.786 level which is also a key level for retracement.
Wave 4 Example:
This one hit the golden spot (0.382-0.5) for Wave 4 perfectly before continue the bullish momentum.
I try to use the RED levels below (1.1 and 1.2) as my invalidation (Stop Loss) levels and the GREEN levels (-0.27 and -0.618) as my Take Profit levels. Depending on your goals you can also use Fib Levels 0.236 and 0 as partial Take Profit levels.
9. Confirm with Indicators
10. To validate your Elliott Wave counts, use other indicators like the RSI (Relative Strength Index), MACD, or Moving Averages. For example, a Wave 3 might occur when the RSI is above 50, indicating strength in the trend.
In this example you can see the RSI cross the 50 threshold and the 3rd Wave form.
Continuation after the Wave is complete:
Tips for Trading with Elliott Wave Theory:
* Stay Flexible: Elliott Wave Theory is not set in stone. If the market doesn’t follow the expected pattern, adjust your wave counts accordingly.
* Don’t Rely on One Timeframe: A 5-wave structure on one timeframe may be part of a larger wave pattern on a higher timeframe. Always analyze multiple timeframes.
* Wave Personality: Waves don’t always look the same as stated earlier. Wave 2 can retrace up to 100% of Wave 1 and Wave 4 should generally not overlap Wave 1 or this may invalidate the Wave structure.
* Risk Management: Always use proper risk management techniques. No theory is perfect, so make sure you have a stop-loss in place to manage your risk.
Conclusion: Using Elliott Wave Theory on BTC/USD:
The Elliott Wave Theory can be a powerful tool for analyzing and forecasting price movements. By identifying the 5-wave impulse and 3-wave corrective patterns, you can gain insights into potential market direction. Just remember to use it alongside other tools and indicators for confirmation, and don’t forget to manage your risk.
As you apply it to BTC/USD or any other asset, remember that the market doesn’t always follow the "ideal" patterns, and flexibility is key. Practice on different timeframes, refine your skills, and use the theory as a part of your overall trading strategy.
Final Thoughts:
If you're just starting, don't get discouraged if you miss a wave or two. Trading is a journey, and with patience and practice, you'll begin to spot these patterns more naturally. Whether you’re analyzing Bitcoin's price action or any other asset, Elliott Wave Theory can give you a deeper understanding of market psychology.
Good Luck and Happy Trading!
Using the New 2025 TradingView Screener to find Golden CrossesIn this video, I show you how to use the new TradingView 2025 screener to quickly find stocks forming a golden cross and how to add the 50 and 200 simple moving averages to your charts for clear visual confirmation. A golden cross happens when the 50 moving average crosses up through the 200 moving average. Many traders (both fundamental and technical) watch for this pattern as a sign that a stock (or even whole market) may be shifting from a downtrend to a new uptrend.
Using the TradingView Screener we can quickly find Golden crosses to help filter for potential momentum setups without having to scan hundreds of charts manually. They are not magic signals, but when combined with your own analysis, they can help you spot bigger picture trends that are gaining strength. I walk through step-by-step how to set up your screener to catch these crossovers and add them to your watchlist.
If you want to keep your trading process simple while still catching moves early, this is a practical tool worth adding to your workflow. I also show a few quick tips on how to clean up your filters to reduce the number of stocks you have to go through.
Hope you find this useful. Please like and follow if you do :)
Quantum Computing - Why BTC isn't the biggest worryYou’ve probably heard that quantum computing could break Bitcoin’s encryption—and that’s true. But here’s the thing: Bitcoin might not even be the biggest target.
The real risks? Financial systems, national security, healthcare, and even the internet itself. These areas rely on the same encryption methods that quantum computers could crack, and the fallout could be far worse than a Bitcoin hack.
Let’s break it down.
1️⃣ Financial Systems: A Global Crisis Waiting to Happen
Imagine if hackers could:
Drain bank accounts at will.
Manipulate stock markets.
Fake trillion-dollar transactions.
This isn’t just about stolen crypto—it’s about economic chaos. Banks, stock exchanges, and payment systems all depend on encryption. If quantum computers break it, we’re looking at a meltdown way bigger than Bitcoin’s $3 trillion market.
2️⃣ National Security & Internet Privacy: A Hacker’s Dream
Governments and militaries use encryption to:
Protect classified intelligence.
Secure communications between leaders.
Guard critical infrastructure (power grids, water supplies).
If quantum computers crack these codes, entire nations could be exposed to cyberwarfare. Your private data? At risk too—email, messaging, even your online banking could be decrypted years later.
3️⃣ Healthcare, Supply Chains & IoT: The Hidden Vulnerabilities
Medical records could be leaked, exposing sensitive health data.
Smart devices (like home security systems) could be hacked.
Supply chains might collapse if logistics networks are breached.
These systems weren’t built with quantum threats in mind—and upgrading them won’t be easy.
🔴 The Bigger Picture: A "Civilizational Upgrade"
Switching to quantum-resistant encryption is like rebuilding the internet’s foundation. It’s necessary, but messy. Some experts compare it to the Y2K bug—but way harder.
🔷 So, Is Bitcoin Safe?
Not entirely—about 25% of all Bitcoin could be stolen if quantum computers advance fast enough. But compared to the risks facing banks, governments, and hospitals? Bitcoin might be the least of our worries.
🔷 What’s Next?
Governments & companies are already working on fixes (like NIST’s post-quantum cryptography standards).
The transition will take years—and hackers might exploit weak spots along the way.
Staying informed is key. If you’re in tech, finance, or security, this affects you.
ℹ️ Want to Dive Deeper?
Deloitte’s take on quantum computing & Bitcoin
Forbes on quantum risks beyond crypto
🤷♂️ Bottom line?
Quantum computing is coming—and while Bitcoin has risks, the real danger lies in the systems we all depend on every day.
❔What do you think? Will we be ready in time? Let me know in the comments! 🚀
Why Traders Freeze: The Psychology Behind Not Cutting LossesFirst up: let’s address the elephant in the room. Loss aversion — that great human flaw. From the moment your ancient ancestor decided to poke a saber-toothed tiger to see what happens, the brain has been hard-coded to avoid pain at all costs.
Loss aversion is literally in your DNA — studies show people feel the sting of a loss twice as intensely as the pleasure of an equivalent gain.
When you see that trade slip into the red, your rational brain may say, “Cut it, the setup is invalid, live to trade another day.” But your emotional brain — the one still grunting in a cave — is screaming, “It might come back! Hold! HOOOLD!” So you sit, frozen.
🌱 Hope: The Most Expensive Four-Letter Word
Hope is the silent killer of trading accounts. You think you’re being patient as you decide to give the trade “room to breathe.”
But what you’re really doing is outsourcing your exit strategy to technical tools, news headlines, and anything that’s not your own choice, hoping something will rescue your losing position.
This is how tiny losses can turn into portfolio ruin. Just ask anyone who’s held a small-cap memecoin down 90% because the “team has potential.”
🧊 Analysis Paralysis: When the Chart Becomes a Maze
Another reason traders freeze? Overanalysis. One bad candle and suddenly you’re toggling between the 1-minute, 5-minute, and daily chart like you’re hacking into the Pentagon. And your trendlines? You’re probably drawing them wrong .
More data rarely leads to more decisive action. It just feeds your brain conflicting signals until you’re convinced you see a bounce that isn’t there. Meanwhile, the loss grows. And grows. And then you’re back to hope. Rinse, repeat.
😬 The Ego Monster: Admitting You’re Wrong
Here’s the harsh truth: cutting a loss means admitting you were wrong. For traders, whose entire identity can hinge on being “smart money,” that feels like public humiliation. The ego monster wants you to be right more than it wants you to be profitable.
So instead of taking the small L, you’ll cling to the trade because closing it out would force you to look in the mirror and say, “I was wrong and I need to do better.”
🏴☠️ From Risk Management to Revenge Trading
Once you’ve frozen long enough, you reach the next stage of the bad-losing cycle: revenge trading . Now you’re not just trying to recover your loss; you’re out to punish the market for “taking” your money.
Spoiler alert: the market doesn’t know you exist, and it certainly doesn’t care. Maybe this is the gambler’s mindset disguised as a “strategy?”
📉 Blame the Tools? Not So Fast
Some traders love to blame outside factors like the Economic calendar or their indicators when they freeze. “My RSI didn’t signal this! The MACD betrayed me!” Indicators are just tools — they don’t make decisions for you. You do.
Hiding behind tools means you refuse to take accountability. It’s a convenient excuse that can keep you stuck in the same losing habits. Better to master the one tool that matters: your discipline .
✂️ The Beauty of the Hard Stop
All hail the hard stop — the trader’s seatbelt. It’s not attractive, it’s mechanical, but it’s often the only thing standing between you and a potentially blown-up account.
The reason some traders can survive the market for decades isn’t because they’re never wrong — it’s because they’ve learned to make their stops non-negotiable.
A stop-loss is you telling your brain, “Hey, I’m not smarter than the market, so I’ll automate the decision before I get emotional.” It takes the agony out of cutting a loss because you’ve already decided on the outcome before your lizard brain can intervene.
⚖️ Small Losses Are the Cost of Doing Business
Want to feel better about cutting that loss? Think of it as your tuition fee. Every trader pays a certain cost to the market — it’s the cost of playing the game. No one gets every trade right. The pros just get better at losing small.
Those big-shot money spinners you look up to? They didn’t build their empire by never losing. They’re pros at getting out when they’re wrong. The difference between a pro and a blow-up isn’t the winning trade — it’s the ruthless discipline on the losing ones.
🧘♂️ Finding Comfort in Discomfort
There’s no magic trick to make loss-cutting feel good. It always stings. But you can train your brain to see a small loss as a win for your long-term survival. Write it down. Journal the trade . Log the emotion. Over time you’ll realize that the trades you exit early rarely haunt you.
🏁 Face the Fear, Keep the Account
And finally, freezing in front of a loss doesn’t protect you — it likely means you’ll pay more than you should. Next time your gut says, “Maybe it’ll come back…” ask yourself: “Do I want to be right, or do I want to trade another day?”
Your job is to trade well and stay in the game for as long as possible.
Your turn, traders : what’s your biggest “should’ve cut it sooner” horror story? Drop it below — we promise not to say we told you so.
Let’s talk about technical analysis & stops.Technical analysis is not your decision-making process — it’s a tool to help you structure better trading decisions by studying past price movements to anticipate likely future moves.
👉 Every time you look at a chart, you should decide:
✅ Do I want to trade at all?
✅ What’s my entry?
✅ Where’s my stop (when does my thesis fail)?
✅ What’s my target (where will I take profits)?
________________________________________
🛑 Where to put your stop?
Take the S&P 500 daily chart. It’s been trending up strongly. Many traders use an exponential moving average (EMA) as a dynamic stop.
But:
• A 9 EMA often stops you out too early on strong trends.
• Adjusting to a 15 or 16 EMA could keep you in the trade longer, letting your winners run.
In tools like TradingView, you can visually adjust the EMA and see in real time how it would have kept you in or taken you out.
________________________________________
💡 Key takeaway:
When price closes below your EMA stop — that’s your signal to exit and lock in profits.
Use TA to structure your trades, not just spot pretty patterns.
________________________________________
💬 What’s your favourite method for setting stops?
Disclaimer:
The information posted on Trading View is for informative purposes and is not intended to constitute advice in any form, including but not limited to investment, accounting, tax, legal or regulatory advice. The information therefore has no regard to the specific investment objectives, financial situation or particular needs of any specific recipient. Opinions expressed are our current opinions as of the date appearing on Trading View only. All illustrations, forecasts or hypothetical data are for illustrative purposes only. The Society of Technical Analysts Ltd does not make representation that the information provided is appropriate for use in all jurisdictions or by all Investors or other potential Investors. Parties are therefore responsible for compliance with applicable local laws and regulations. The Society of Technical Analysts will not be held liable for any loss or damage resulting directly or indirectly from the use of any information on this site.
Eth $2,500 Resistance — Will Harmonic Pattern Trigger a Rally?Ethereum Stuck at $2,500 Resistance — Will Harmonic Pattern Trigger a Rally to $3,400?
Ethereum has been trading in a prolonged consolidation phase around the $2,500 level — a region that has acted as resistance for several weeks. This extended period of sideways action could signify either accumulation or distribution, depending on what comes next. Technically, Ethereum remains capped below major resistance and has yet to confirm a bullish breakout. However, a deeper corrective move followed by a reclaim of key levels could activate a larger harmonic pattern, which presents a potential rally scenario toward the $3,400 region.
-$2,500 Resistance Zone: Price continues to stall at this critical area, signaling indecision
-$2,200 Support Level: A potential bounce zone where bulls may re-enter the market
-Harmonic Pattern Forming: Possible C-to-D leg expansion targeting $3,400, pending confirmation
Ethereum’s price has remained stuck around the $2,500 region, which has evolved into a high time frame resistance. Price has yet to show a decisive breakout, and this extended stay near resistance typically signals one of two things: stealth accumulation before a breakout, or distribution before a breakdown. The direction will become clearer once price action reacts to either a support retest or a break of the current range.
From a bullish perspective, a potential corrective move toward the $2,200 region — a well-established support — would provide a healthy reset for price action. This zone has previously acted as a demand area and aligns closely with the value area low. If Ethereum bounces from this level and reclaims the point of control (POC) around $2,550 — which also aligns with weekly resistance — it would be a strong structural signal.
This sequence of moves could activate a larger harmonic pattern currently visible in Ethereum’s price action. If valid, the market could enter the C-to-D expansion phase of the harmonic setup, targeting the $3,400 region. While this pattern remains speculative and unconfirmed, its structure is valid and aligns with both historical Fibonacci extensions and support/resistance dynamics.
For this pattern to be confirmed, Ethereum must hold the $2,200 support level and produce a strong reclaim of $2,550 backed by volume. Without this confirmation, the idea remains purely speculative and should be approached with caution.
If Ethereum corrects to $2,200 and reclaims $2,550, a bullish C-to-D harmonic expansion may play out targeting $3,400. Until then, ETH remains range-bound and capped under major resistance.
SOLANA Loves THIS Pattern | BULLISHSolana usually increases alongside ETH. Possible because its a big competitor.
We can see SOL follows ETH very closely, with the exception of dipping earlier than ETH by a week:
In the 4h, we see a push to breakout above the neckline resistance:
In the daily timeframe, SOL is just about to break out above the moving averages - which would be the final confirmation of a bullish impulse to come:
Could this pattern be the confirmation of the start of another big pump for SOL?
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BINANCE:SOLUSDT
Is Bitcoin Working Out a New Leg Up? Onchain Data Says It May BeDiamond hands are waving goodbye and institutions are loading up — it’s why Bitcoin may be struggling to break out of its current consolidation range. How long can this accumulation phase continue?
And yes — we look at the trades of the decade — two transactions where each one moved a cool billie from a $7.8K investment in 2011.
Some people cling to their Bitcoin BITSTAMP:BTCUSD stash like it’s their last protein bar before a marathon. Others, apparently, wake up one day and decide to dump their coins and browse the market for islands.
Welcome to the silent shift that’s redefining the big players in the Bitcoin market, worth about $2.2 trillion as per data from our Crypto Coins Heatmap .
Old-school whales — the very early adopters and miners holding the OG wallets — are quietly selling, while institutional heavyweights sweep in to buy every dip (part of the reason why lately every breakout never breaks out).
Over the past year, these OG whales have shed about half a million Bitcoin — worth north of $50 billion — according to data from 10x Research. And guess who’s gobbling it all up? ETFs, corporate treasuries, and family offices that didn’t want anything to do with crypto five years ago.
Is it bullish? Is it bearish? Is it just Bitcoin being Bitcoin? Let’s pull up the charts, squint at the data, and see what the world’s most famous digital coin might be plotting next.
📈 A Record High — And Now What?
So here’s the setup. Bitcoin has been strutting under its record high of $111,000 for months now. You’d think the hype machine — from Trump’s pro-crypto administration, to corporate balance sheets going full Michael Saylor (looking at you, GameStop NYSE:GME ) — would send BTC blasting past the Moon and landing on Mars.
Instead? It’s just... chilling. Volatility’s drying up like the last drop of liquidity in a summer Friday session. And the reason is surprisingly simple: the massive handover happening between big, anonymous early adopters and the suit-and-tie institutional crowd.
😌 From Wild Ride to Easy Cruising?
You could argue this is exactly what Bitcoin needs: maturity, respectability, less drama. But don’t tell that to the day traders who want 20% swings before breakfast. As these whales get out and institutions get in, analysts say the upside could be capped at a chill 10% to 20% a year.
Good news for your retirement portfolio, maybe not so great for that “Lambo by Labor Day” dream.
Institutions now hold about 25% of all Bitcoin in circulation — and once these get in, they tend to sit tight for years.
🚀 The $1.1 Billion Time Capsule
Speaking of whales: ever wonder what happens when a Bitcoin wallet goes dark for 14 years? It pops back online to make your mind melt.
On April 3, 2011, a wallet labeled “1HqXB...gDwcK” moved 23,377 BTC to three addresses. At the time, Bitcoin was worth a mere 78 cents. Fast forward: two of those receiving wallets, each with 10,000 BTC, sat dormant for over a decade.
This month, both wallets moved their treasure troves — worth over $1.1 billion each — within 30 minutes of each other. Talk about a coordinated exit. What’s behind the move? Tax planning? A lost key finally found?
A savvy crypto thief who figured how to crack the earliest key generation method? We may never know. Also, OG guy, if you’re reading this — props for the all-at-once move without even a test transaction.
⛓️ What Onchain Data Says
Onchain data is like reading tea leaves for nerds with Bloomberg terminals. It says the supply is tightening — not because there’s less Bitcoin, but because fewer coins are actually available to trade.
When long-term holders move coins, that typically signals big-picture changes. Here’s the twist: the net effect has been… stability. Institutional demand, like Bitcoin exchange-traded funds , soaks up supply just as fast as whales drip it back in.
That’s why Bitcoin’s been stuck in this $100K–$110K limbo, ping-ponging while the accumulation phase is still going strong.
👀 So, Is a New Leg Up Coming?
This is where the optimists and realists start to bicker over the charts. On the one hand, the structural handover to institutions makes Bitcoin more credible, more regulated, and more boring.
But less volatility can mean steadier gains — especially if you believe that the world will always want an inflation hedge that no central bank can print into oblivion.
On the other hand, a sideways market can test your patience more than a typical drawdown. Some of the whales are gone, the suits have arrived, and the easy moonshots might not be so easy anymore.
🌱 The Trade-Offs of Growing Up
Bitcoin was born in the wild west of finance — an anonymous, volatile, meme-fueled phenomenon. Now, it’s drifting deep into the mainstream. That might limit the fireworks, but it also locks in its place as an asset class that’s not going away.
🌊 Closing Thoughts: The Next Billion-Dollar Move
Will we see another $7,800 investment turn into a cool $1 billion? Maybe not exactly like that. But the game isn’t over — it’s just evolving.
Keep your eyes on the whales, the ETFs, the Fed’s next move , and those onchain breadcrumbs.
Over to you , chart-watchers: does this calm consolidation make you bullish, bearish, or just plain bored? Share your thoughts in the comments!
Pine Screener - Powerful tool for building programmable screenerHello Everyone,
In this video, we have discussed on how to use pine screener utility of tradingview. We are making use of the indicator Divergence Screener for this demonstration and screen stocks undergoing bullish divergence.
In a nutshell, here are the steps:
🎯 Use Stock Screener to build watchlist of less than 1000 symbols
🎯 Add the indicator you want to use in the pine screener to your favorites.
🎯 Pine screener can be accessed from the tradingview screener menu or you can simply click on the link www.tradingview.com
🎯 Add the watchlist and indicator to the pine screener and adjust the timeframe and indicator settings
🎯 Select the criteria to be scanned and press scan
BTC monthly yelling at us for something interesting ?We read daily news about ETF, accumulation by institutes and scarcity in the exchanges, but I recognize something different in the chart based on multiple indicators. Historically, BTC boomed after touching 50 EMA and whenever it is extended it traces back to 50 EMA on monthly chart. As per current data, BTC is extended far from it. Also RSI and MACD indicating that it is losing momentum with -ve divergence. Volume as well descreasing since last leg, though price moved up. So, I expect price to retrace to 50 EMA which coincides with previous high at 60K. Let us see how it unfolds.
How to mark your charts Lightning fast!One of the things I didn't like was marking my charts. I would take so much time marking my charts and adding the prices on the side. My mentor showed me the fastest way. Just use the FIB tool and use "0" and "1". Now you can focus on other important things. I want to thank my mentor for showing me this. Good luck to everyone
Gold on the Move – Major Resistance Levels to Watch AheadThe current price action looks strong, and if the bullish momentum continues, we have three main target levels in mind.
The first target is $3,380. This is an important level we expect gold to reach soon if the trend continues upward.
If the price breaks above $3,380, the next target is $3,433. This level is likely to act as a strong resistance, meaning the price might slow down or pull back here. But if gold can push through it with strength, that’s a strong signal of continued upside.
After that, the third target is $3,495, which would mark a strong extension of the current bullish trend.
As long as gold stays above key support levels, we believe the bullish outlook remains valid, and these targets are possible in the coming days or weeks.
BTC POTENTIAL BULLS TRAP IN DEVELOPMENTI am inspecting the 4 hour candle in comparison to the daily chart on BTC and it seem we have all the characteristics of a bulls trap on the chart. If the next 4 hours candle does not close bullish, it will confirm a bulls trap and price will likely pullback into the triangle. So be cautious trading at this resistance level.
Bull Trap Chart Characteristics
Look for:
A strong bullish candle that breaks above recent highs or resistance.
Volume spike on the breakout — signs that traders are buying.
Followed by a sharp bearish candle (like a shooting star, bearish engulfing, or long wick).
Price falls back below resistance, turning the breakout into a fakeout.
Cheers !!
Gold setup: ascending triangle and Trump’s debt bombGold just formed an ascending triangle, and a breakout could send it $300 higher. In this video, we analyse the new pattern, the key breakout level, and why Trump’s new tax bill and Powell’s potential replacement could spark a major move. Will fundamentals match the technicals? Watch to find out.
Top fundamentals that will shape the S&P 500 this summer 2025The summer of 2025 is characterized by a combination of macroeconomic and microeconomic factors that will shape the trajectory of the US equity market. While the S&P 500 is trading close to its all-time highs and at a valuation comparable to that at the end of 2021, the strength of the upward momentum will depend on the conjunction of several key variables. Understanding these fundamentals is crucial to grasping the potential and risks awaiting investors over the coming months.
1) The trade war and economic diplomacy, the main source of uncertainty
The trade issue remains the most unpredictable at the start of the summer. The July 9 deadline for the conclusion or failure of tariff negotiations is crystallizing tensions between the United States and its main partners. The prospect of a new wave of tariffs could have a direct impact on production costs, inflation and business confidence. Trade diplomacy is thus the variable most likely to provoke volatility jolts and challenge positive earnings growth expectations. If trade agreements are signed, then this will help to sustain the S&P 500's uptrend.
2) US fiscal policy: the “One Big, Beautiful Bill”
The Trump administration's major tax bill is another hotspot. This piece of legislation calls for an extension of the tax cuts initiated in 2017 and a dramatic increase in the public debt ceiling, to the tune of $5,000 billion. While these measures potentially support consumption and private investment, their medium-term impact on public finances is uncertain. The real issue for the equity market is to assess whether these decisions will lead to a surge in long-term US bond yields. A slippage in US Treasury yields would increase corporate financing costs and undermine currently high valuation multiples. Conversely, if yields remain contained, the equity market's upward momentum could continue.
3) Inflation and the Fed's monetary policy: a delicate balance
The trajectory of inflation, in particular that of the PCE index, will be a major determinant. US inflation is currently slightly below the Fed's target. Several components, notably the services sector, which accounts for almost two-thirds of the PCE basket, are proving relatively stable. Inflationary risks are more likely to come from commodities, particularly if trade tensions reignite. Oil, which accounts for around 11% of the PCE basket, is currently showing no major warning signs, benefiting from a geopolitical calm. Real estate and healthcare are also showing reassuring indicators. Against this backdrop, the Federal Reserve is adopting a cautious stance: while several major Western central banks are moving towards a neutral rate, the Fed is stalling and conditioning its monetary pivot on visibility regarding tariffs and corporate behavior.
The timing of rate cuts is one of the biggest sticking points. According to recent signals, the first rate cut could take place as early as September. However, influential members of the FOMC, appointed by the Trump administration, are arguing for earlier easing. The political pressure is strong: Trump is calling for immediate cuts, but Chairman Powell remains in control of the agenda, taking care to preserve a consensus within the committee.
4) The job market and the likelihood of a recession
The US employment situation is an advanced barometer of the economic cycle. Weekly jobless claims and the aggregate unemployment rate are closely monitored. Historically, a significant rise in unemployment signals that the economic slowdown is already underway. For the time being, the labor market is proving resilient, but the slightest deterioration could alter investors' central scenario and reinforce recessionary expectations. This risk is one of the potential dampeners to the prevailing optimism, unless it were to accelerate the timetable for resuming the cut in the federal funds rate.
5) Second-quarter results and earnings outlook
The second-quarter earnings season is of particular importance. US companies must demonstrate their ability to deliver earnings growth in line with forecasts, even as valuation multiples remain stretched. Maintaining high price levels on the S&P 500 assumes robust earnings growth and confident guidance from management. Failing this, the risk of a correction would be high, especially as the market has already incorporated many positive factors. The weakness of the US dollar and the price of oil, as well as the current momentum in AI, could hold out some pleasant surprises for second-quarter results.
6) Geopolitics and oil, potential sources of volatility
Finally, global geopolitics is a second-order variable, but one that could suddenly become a priority. A rapid deterioration in the international situation, particularly in the Middle East or the China Sea, could affect trade flows and oil prices, fuelling renewed inflation and financial volatility.
Conclusion :
The summer of 2025 promises to be a period of strategic transition for the US equity market. Between trade diplomacy, fiscal policy, inflation, the trajectory of interest rates and earnings momentum, investors will have to deal with an accumulation of uncertain factors. If these uncertainties gradually dissipate, the uptrend could continue. Conversely, the combination of a geopolitical shock, a rebound in inflation and a political stalemate over the federal budget would have the potential to weaken the current rally.
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Debugging Pine Script with log.info()log.info() is one of the most powerful tools in Pine Script that no one knows about. Whenever you code, you want to be able to debug, or find out why something isn’t working. The log.info() command will help you do that. Without it, creating more complex Pine Scripts becomes exponentially more difficult.
The first thing to note is that log.info() only displays strings. So, if you have a variable that is not a string, you must turn it into a string in order for log.info() to work. The way you do that is with the str.tostring() command. And remember, it's all lower case! You can throw in any numeric value (float, int, timestamp) into str.string() and it should work.
Next, in order to make your output intelligible, you may want to identify whatever value you are logging. For example, if an RSI value is 50, you don’t want a bunch of lines that just say “50”. You may want it to say “RSI = 50”.
To do that, you’ll have to use the concatenation operator. For example, if you have a variable called “rsi”, and its value is 50, then you would use the “+” concatenation symbol.
EXAMPLE 1
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//@version=6
indicator("log.info()")
rsi = ta.rsi(close,14)
log.info(“RSI= ” + str.tostring(rsi))
Example Output =>
RSI= 50
Here, we use double quotes to create a string that contains the name of the variable, in this case “RSI = “, then we concatenate it with a stringified version of the variable, rsi.
Now that you know how to write a log, where do you view them? There isn’t a lot of documentation on it, and the link is not conveniently located.
Open up the “Pine Editor” tab at the bottom of any chart view, and you’ll see a “3 dot” button at the top right of the pane. Click that, and right above the “Help” menu item you’ll see “Pine logs”. Clicking that will open that to open a pane on the right of your browser - replacing whatever was in the right pane area before. This is where your log output will show up.
But, because you’re dealing with time series data, using the log.info() command without some type of condition will give you a fast moving stream of numbers that will be difficult to interpret. So, you may only want the output to show up once per bar, or only under specific conditions.
To have the output show up only after all computations have completed, you’ll need to use the barState.islast command. Remember, barState is camelCase, but islast is not!
EXAMPLE 2
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//@version=6
indicator("log.info()")
rsi = ta.rsi(close,14)
if barState.islast
log.info("RSI=" + str.tostring(rsi))
plot(rsi)
However, this can be less than ideal, because you may want the value of the rsi variable on a particular bar, at a particular time, or under a specific chart condition. Let’s hit these one at a time.
In each of these cases, the built-in bar_index variable will come in handy. When debugging, I typically like to assign a variable “bix” to represent bar_index, and include it in the output.
So, if I want to see the rsi value when RSI crosses above 0.5, then I would have something like:
EXAMPLE 3
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//@version=6
indicator("log.info()")
rsi = ta.rsi(close,14)
bix = bar_index
rsiCrossedOver = ta.crossover(rsi,0.5)
if rsiCrossedOver
log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi))
plot(rsi)
Example Output =>
bix=19964 - RSI=51.8449459867
bix=19972 - RSI=50.0975830828
bix=19983 - RSI=53.3529808079
bix=19985 - RSI=53.1595745146
bix=19999 - RSI=66.6466337654
bix=20001 - RSI=52.2191767466
Here, we see that the output only appears when the condition is met.
A useful thing to know is that if you want to limit the number of decimal places, then you would use the command str.tostring(rsi,”#.##”), which tells the interpreter that the format of the number should only be 2 decimal places. Or you could round the rsi variable with a command like rsi2 = math.round(rsi*100)/100 . In either case you’re output would look like:
bix=19964 - RSI=51.84
bix=19972 - RSI=50.1
bix=19983 - RSI=53.35
bix=19985 - RSI=53.16
bix=19999 - RSI=66.65
bix=20001 - RSI=52.22
This would decrease the amount of memory that’s being used to display your variable’s values, which can become a limitation for the log.info() command. It only allows 4096 characters per line, so when you get to trying to output arrays (which is another cool feature), you’ll have to keep that in mind.
Another thing to note is that log output is always preceded by a timestamp, but for the sake of brevity, I’m not including those in the output examples.
If you wanted to only output a value after the chart was fully loaded, that’s when barState.islast command comes in. Under this condition, only one line of output is created per tick update — AFTER the chart has finished loading. For example, if you only want to see what the the current bar_index and rsi values are, without filling up your log window with everything that happens before, then you could use the following code:
EXAMPLE 4
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//@version=6
indicator("log.info()")
rsi = ta.rsi(close,14)
bix = bar_index
if barstate.islast
log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi))
Example Output =>
bix=20203 - RSI=53.1103309071
This value would keep updating after every new bar tick.
The log.info() command is a huge help in creating new scripts, however, it does have its limitations. As mentioned earlier, only 4096 characters are allowed per line. So, although you can use log.info() to output arrays, you have to be aware of how many characters that array will use.
The following code DOES NOT WORK! And, the only way you can find out why will be the red exclamation point next to the name of the indicator. That, and nothing will show up on the chart, or in the logs.
// CODE DOESN’T WORK
//@version=6
indicator("MW - log.info()")
var array rsi_arr = array.new()
rsi = ta.rsi(close,14)
bix = bar_index
rsiCrossedOver = ta.crossover(rsi,50)
if rsiCrossedOver
array.push(rsi_arr, rsi)
if barstate.islast
log.info("rsi_arr:" + str.tostring(rsi_arr))
log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi))
plot(rsi)
// No code errors, but will not compile because too much is being written to the logs.
However, after putting some time restrictions in with the i_startTime and i_endTime user input variables, and creating a dateFilter variable to use in the conditions, I can limit the size of the final array. So, the following code does work.
EXAMPLE 5
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// CODE DOES WORK
//@version=6
indicator("MW - log.info()")
i_startTime = input.time(title="Start", defval=timestamp("01 Jan 2025 13:30 +0000"))
i_endTime = input.time(title="End", defval=timestamp("1 Jan 2099 19:30 +0000"))
var array rsi_arr = array.new()
dateFilter = time >= i_startTime and time <= i_endTime
rsi = ta.rsi(close,14)
bix = bar_index
rsiCrossedOver = ta.crossover(rsi,50) and dateFilter // <== The dateFilter condition keeps the array from getting too big
if rsiCrossedOver
array.push(rsi_arr, rsi)
if barstate.islast
log.info("rsi_arr:" + str.tostring(rsi_arr))
log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi))
plot(rsi)
Example Output =>
rsi_arr:
bix=20210 - RSI=56.9030578034
Of course, if you restrict the decimal places by using the rounding the rsi value with something like rsiRounded = math.round(rsi * 100) / 100 , then you can further reduce the size of your array. In this case the output may look something like:
Example Output =>
rsi_arr:
bix=20210 - RSI=55.6947486019
This will give your code a little breathing room.
In a nutshell, I was coding for over a year trying to debug by pushing output to labels, tables, and using libraries that cluttered up my code. Once I was able to debug with log.info() it was a game changer. I was able to start building much more advanced scripts. Hopefully, this will help you on your journey as well.






















