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You all Panic and Sell While Whales Buy Ever sold at the exact bottom, just before the bounce? Mass fear always becomes the perfect entry for whales, while regular traders are running away. In this post, I’ll break down how their mindset beats ours, and how to flip the script on your own fear. Hello✌ Spend 3 minutes ⏰ reading this educational material. 🎯 Analytical Insight on PEPEcoin: BINANCE:PEPEUSDT has broken above the descending channel resistance as well as a significant daily resistance level, supported by a solid increase in trading volume 📈. This confirms genuine buying interest and momentum in the market. Based on this breakout, I expect at least a 22% upside, with a target near 0.0000135 🚀. Now , let's dive into the educational section, 🧠 Emotions Lie. The Chart Doesn’t. In crypto markets, our first reaction is rarely logical. When prices dump, fear kicks in, not analysis. That’s exactly when the big players step in. They know retail won’t buy the bottom; they chase green candles, not red opportunities. 🐋 What Whales Think That Retail Doesn’t Whales wait for emotional exhaustion, full-on fear or full-on greed. They don't enter with the crowd. They enter when the crowd wants out. That’s not coincidence. It’s a setup. 🧨 Self-Sabotage: The Retail Playbook Retail traders usually: Sell in panic on the dump Buy in FOMO on the pump Quit after liquidation Whales don’t react to price, they react to opportunity. 📉 Why Real Bottoms Never Feel Safe When a real bottom forms, it feels terrible. News is negative. Social media screams "SELL." No one trusts the recovery. That’s why most miss it. Comfort does not equal opportunity. ⏳ Silence and Patience: Whale Superpowers In sideways markets, retail gets bored and walks away. Whales? They accumulate silently. They don’t seek confirmation. They seek positioning. 📊 TradingView Tools That Reveal Whale Moves TradingView isn't just a charting site, it’s a weapon if you know what to look for: Volume Profile shows zones where the most trading occurred. If price drops but volume remains dense, that’s hidden buying. OBV (On-Balance Volume) tracks if smart money is loading while price moves slowly. Combine RSI + MA to spot where sentiment diverges from logic. Set up your own TradingView layout with these indicators. Use the data, not your gut. 🧲 Is This Crash A Hidden Invitation? Every major dip asks one quiet question: “Do you still know the game?” The smart money listens while the rest scream. The market has rhythm, if you hear it, you win. 🛡 Recap Next time the market’s bleeding red and everyone’s afraid, zoom out. Don’t listen to your fear, listen to the chart. Let TradingView’s tools be your edge, not just your screen. ✅ Final Thought: Whales feed on our fear. So next time you're scared, don’t run, observe. That fear might be your best entry, not your worst exit. ✨ Need a little love! We pour love into every post your support keeps us inspired! 💛 Don’t be shy, we’d love to hear from you on comments. Big thanks , Mad Whale 🐋 📜Please make sure to do your own research before investing, and review the disclaimer provided at the end of each post.
Education
by MadWhale
16
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 :)
NASDAQ:IBOCEducation
by zAngus
5
How to Use TradingView Alerts to Catch Momentum Shifts Here’s a quick video on setting alerts in TradingView. I use alerts for stocks I’m interested in but want to give more time to set up. Instead of using a basic price alert, I prefer setting alerts on MACD crossovers to signal when momentum is shifting back in my favor. As a rule of thumb, the deeper the crossover, the better the value and potential momentum. Crossovers below the MACD zero line are particularly useful, especially for stocks that had strong momentum and were making new highs before pulling back. This approach helps confirm that the stock has had time to build a solid base before I enter. TradingView will then send me an email alert or play a chime if I have it open, letting me track multiple stocks and setups without constantly checking charts. It’s also great for monitoring take-profit and stop-loss levels. You can apply the same strategy with nearly any indicator on TradingView to time your entries and exits with more confidence.
ASX:EOLEducation
by zAngus
1
$COIN Options Trade Blunder | AI vs. Flow — Who Wins?NASDAQ:COIN – When LSTM Confidence Misfires at the Top This week I entered puts on NASDAQ:COIN off a 95% confidence signal from my LSTM model, anticipating a bearish reversal near the premium zone. It looked clean: 🔺 Price had tapped a weak high 📈 Extended rally from discount to premium 🧠 LSTM model flagged a local exhaustion top But I ignored the bullish options flow. Institutions were loading calls. Volatility structure showed strength. I chose the model. The market chose pain. 📉 Trade Setup: Short thesis: Rejection from premium + weak high Entry: $370 zone Target: $325 (mid EQ) Invalidation: Break above $380 Actual Result: Price consolidated, then held bullish structure. Implied volatility stayed elevated. No follow-through on the short. Loss: ~50% on puts. 💡 Lesson: Chart logic aligned AI signal was compelling But real-time flow > model output LSTM is 70% of my AI trading system, and I’m now integrating options flow override filters to prevent this kind of mismatch in future signals. 📌 I’m currently risk-off, rotating capital into 5Y Treasury futures ($Z) to cool down, refine logic, and reassess volatility pricing models. 🧠 This phase is experimental. If you’re watching my trades – don’t follow. Observe. Learn from the debug phase. — Prabhawa Koirala (Pravo) Founder – WaverVanir International LLC #COIN #TradingView #SmartMoneyConcepts #LSTM #AITrading #OptionsFlow #WaverVanir #PremiumZone #QuantTrading #VolanX
NASDAQ:COINEducation
by Wavervanir_International_LLC
In forty years of trading, I have tried a lot of methods....In forty years of trading, I have tried a lot of methods. Over the years, things have changed. Right now, I swing trade S & P 500 Index ETFs through a commission free broker off this chart GLOBEX FUTURES and this one single indicator. I always enter after the daily close, in the aftermarket. Trade at a price, a limit order "all or none". NOTE: You must chart FUTURES to get the signal at 6:00 PM NYC time in order to have it to position in the aftermarket. if you, chart SPX cash market, the TradingView "runtime" won't show the signal until the RTH opening "tomorrow". NO GOOD ...because overnight trading can gap the cash market. Try 5 minute chart for DAY trading Futures: use only RTH ! try configuring 3, 7, and 13, "swing" values. Happy trades! P.S. I am long right now SPX ETF.
CME_MINI:ES1!Education
by anotherDAPTrader
How to Spot Flag Patterns on TradingViewLearn to identify and trade flag patterns in TradingView with this step-by-step tutorial from Optimus Futures. Flag patterns are continuation formations that help traders join existing trends by buying high and selling higher, or selling low and buying back lower. What You'll Learn: • How to identify bullish and bearish flag patterns on any timeframe • Breaking down flag patterns into two parts: the flagpole and the flag • Finding strong flagpole formations with fast, obvious price moves • Spotting flag consolidation areas that form tight ranges • Why flag patterns work: buyer and seller psychology explained • Real chart examples showing how flag patterns develop and play out This tutorial may help futures traders and technical analysts who want to trade with market trends rather than against them. The concepts covered could assist you in identifying opportunities to join strong price movements when they pause before continuing. Learn more about futures trading with Tradingview: optimusfutures.com Disclaimer: There is a substantial risk of loss in futures trading. Past performance is not indicative of future results. Please trade only with risk capital. We are not responsible for any third-party links, comments, or content shared on TradingView. Any opinions, links, or messages posted by users on TradingView do not represent our views or recommendations. Please exercise your own judgment and due diligence when engaging with any external content or user commentary. This video represents the opinion of Optimus Futures and is intended for educational purposes only. Chart interpretations are presented solely to illustrate objective technical concepts and should not be viewed as predictive of future market behavior. In our opinion, charts are analytical tools—not forecasting instruments. Market conditions are constantly evolving, and all trading decisions should be made independently, with careful consideration of individual risk tolerance and financial objectives.
CME_MINI:ES1!Education
by OptimusFutures
1
What is Dynamic Support and Resistance Levels & Zones in Forex Dynamic supports and resistances play a crucial role in technical analysis. Unlike classic supports and resistances, these zones change and adapt to a market price action in real time. Learn what is dynamic support and resistance in Forex, Gold trading and how to find it easily. Discover its main types and real market examples. Let's start with the basics. There are 2 major types of supports and resistances in technical analysis. The first type is called static . Such supports and resistances are fixed and don't change with time. It should be strictly horizontal key levels or the zones. Market price action and momentum beyond them do not affect these supports and resistances. In the example above, you can find static supports and resistances on Gold. The market may return to one of those levels or the zones today, tomorrow or in a month, but it will not move. In comparison to static supports and resistances, the dynamic ones shift with time. They constantly change and adjust as the time flies. One of the obvious types of dynamic supports and resistances is a trend line. Above is the example of a dynamic rising support based on trend line. As the time goes, a support shifts and becomes higher and higher. I found a great example of a dynamic resistance on Dollar Index. Depending on the moment when the price tests that, the resistance will be on different levels. The later the price tests the trend line, the lower is the resistance. When newbie traders learn dynamic supports and resistances, they usually stop on trend lines. But it is just a beginning. Really significant dynamic supports are resistances will be the zones . The areas based on static horizontal supports and resistances and trend lines. Examine a price action on GBPCHF forex pair. We have a static horizontal support area and a dynamic rising trend line. Two supports intersect, composing a contracting dynamic support zone. With time, it will become narrower, accumulating buy orders within. On NZDCAD forex pair, I underlined a contracting dynamic resistance zone that is based on an intersection of a static horizontal resistance area and a falling trend line. Selling orders will be distributed within. The 2 dynamic support and resistance zones that we discussed are narrowing , but that is not always the case. A dynamic support zone that I found on GBPNZD is expanding and broaden with time. It is based on a dynamic falling trend line and a static horizontal support. With time its boundaries will be wider and a bullish reaction may initiate from any level within that. A dynamic resistance area that I spotted on EURCAD forex pair is a great example of an expanding resistance. It is based on a static horizontal resistance and a rising trend line. We can easily recognize how it grows with time. Of course, another types of dynamic supports and resistances exist. But they are more nuanced and rare. As soon as you learn to recognize the clusters that we discussed in this article, you will be able to recognize the less obvious ones as well. Next time, when you execute a support and resistance analysis, try to find a dynamic zone. You can find it on any time frame, and forex pair and gold, and it will completely change your perspective on the market. ❤️Please, support my work with like, thank you!❤️ I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
Education
by VasilyTrader
7
Trading at the market topHello, The stock market is back at an all-time high. This often brings excitement for existing investors—and a sense of anxiety or even FOMO (fear of missing out) for those who stayed on the sidelines when prices were lower. It’s tempting to jump in, especially with headlines filled with optimism and portfolios showing green across the board. But this is also a time for caution and patience. After a sustained rally, price levels often outpace fundamentals like earnings growth, economic stability, or interest rate trends. In such moments, valuations can become stretched, and investor sentiment overly euphoric conditions that typically precede short-term pullbacks or corrections. Buying at the top locks in risk, not value. If you're feeling late to the party, remember that good investors don’t chase prices—they wait for prices to come to them. The best opportunities often come in moments of fear, not euphoria. And while this market high may go higher still, history shows that eventually, corrections come—and those prepared for them are the ones who win in the end. Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
TRADENATION:US500Education
by thesharkke
Your Biggest Trading Enemy Isn’t the Market It’s YouWhy do traders get liquidated right at the peak of confidence? Is capital safety defined by charts or by our inner world? Let’s dig deeper. The real threat doesn’t come from the market. It comes from within. Hello✌ Spend 3 minutes ⏰ reading this educational material. 🎯 Analytical Insight on Litecoin: BINANCE:LTCUSDT has recently formed a reliable inverse head and shoulders pattern near a strong support zone 📉. This technical setup indicates a potential upside of approximately 9%, targeting $95 in the near future 🚀. Traders should watch for confirmation and manage risk accordingly. Now , let's dive into the educational section, 🧠 The Mind: The Most Dangerous Indicator in the Market Before the market empties your wallet, it hijacks your mind. You may think you’re entering a trade using your indicators, but more often than not, it’s your emotions pushing the buttons. Tools are just the excuse. When you feel absolutely certain and think this time is different, that’s when you’ve probably entered the danger zone. The market thrives on exploiting emotional certainty. Truth is, many losses come not from poor analysis but from repeating bad decisions out of anger, revenge, or stubbornness. If you don’t protect yourself from your own behavior, no strategy can protect your capital. 🧨 Overconfidence: The Greatest Liquidator One of the most destructive feelings in trading is confidence without validation After a few consecutive wins, your brain flips the switch and you feel invincible Overconfidence tricks you into skipping stop-losses, overleveraging, ignoring timeframes, or ditching your strategy altogether. The end result is all your hard-earned profits vanish in a single emotionally-driven trade. Confidence should be earned trade by trade, not assumed after a few lucky runs. 📉 TradingView Tools: Real Support or Mental Trap? Let’s be real. Tools are powerful only if used with clarity Try the Bar Replay feature to stress-test your setups without live risk Use the Long Short Position tool to visualize your actual risk reward, not the one your ego wants to see Set Alerts so that your entries are data driven, not emotion driven These tools are your allies. But just like a sharp knife, they can cut the cook too. The problem isn’t the tool. It’s always the hand using it. 🪤 If It Feels Right, It’s Probably a Trap One of the most common cognitive biases traders face is mistaking emotions for data You might see price touch support, but deep down, you’re still haunted by that last failed bounce, so this time, you enter out of revenge. Or maybe everyone online is screaming pump and FOMO kicks in At that moment, you’re not thinking. You’re gambling The market doesn’t care how you feel. It only cares whether you’re reacting emotionally because that’s the easiest liquidity 🧩 Not Trading Is a Trade Especially in crypto, traders with patience often outperform those who force constant action Someone who watches charts for three days without entering may end up ahead of the one jumping into five trades a day Discipline in waiting is a skill. Sometimes, the most profitable decision is simply doing nothing Pro traders strike rarely but with precision. The rest is surveillance, not execution 🧠 Good Trading Means Being Rational in the Moment Here’s what separates losers from winners Losers make a decision and then look for justification Winners seek solid logic then make a decision If your mind is unstable, even the best setup can lead to chaos But a clear mind can extract gold from even the simplest charts 🧬 Final Thought If you're serious about protecting capital, start with protecting your mindset Open positions, stop losses, and chart entries matter, but without internal stability, none of them will save you In truth, the riskiest place for your capital is not the market. It’s you ✨ Need a little love! We pour love into every post your support keeps us inspired! 💛 Don’t be shy, we’d love to hear from you on comments. Big thanks , Mad Whale 🐋 📜Please make sure to do your own research before investing, and review the disclaimer provided at the end of each post.
Education
by MadWhale
9
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! 🚀
COINBASE:BTCUSDEducation
by Profit_Through_Patience
29
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.
SP:SPXEducation
by TradingView
20
What is the key that makes you start trading? Hello, traders. If you "Follow", you can always get new information quickly. Have a nice day today. ------------------------------------- HA-Low, HA-High indicators are indicators created for trading on Heikin-Ashi charts. Therefore, they are determined by Heikin-Ashi's Open, Close, and RSI values. If the RSI indicator value is above 70 when the candle starts to rise and then falls on the Heikin-Ashi chart, the HA-High indicator is generated. If the RSI indicator value is below 30 when the candle starts to rise and then falls on the Heikin-Ashi chart, the HA-Low indicator is generated. Therefore, rather than judging the rise and fall with your eyes, you can judge the rise and fall transitions with more specific criteria. If you look at a regular chart, you can see that there are many rise and fall transition points, unlike the Heikin-Ashi chart. The Heikin-Ashi chart has the effect of reducing fakes. Therefore, it has a higher reliability than judging with a regular chart. The biggest disadvantage of the Heikin-Ashi chart is that it is difficult to know the exact values ​​of the Open and Close values. Therefore, the HA-Low, HA-High indicators are used to accurately and quickly identify the Open and Close values ​​by indicating the rising and falling transition points of the Heikin-Ashi chart on a general chart. - The Heikin-Ashi chart uses the median. Therefore, the HA-Low indicator corresponds to the median when it leaves the low range, and the HA-High indicator corresponds to the median when it leaves the high range. If the HA-Low indicator is generated and then receives support, there is a high possibility that an upward trend will begin, and if the HA-High indicator is generated and then receives resistance, there is a high possibility that a downward trend will begin. Therefore, the HA-Low, HA-High indicators are used in basic trading strategies. However, since the HA-Low and HA-High indicators are intermediate values, if the HA-Low indicator resists and falls, there is a possibility of a stepwise decline, and if the HA-High indicator supports and rises, there is a possibility of a stepwise rise. Therefore, to compensate for this, the DOM (60) and DOM (-60) indicators were used. The DOM indicator is an indicator that comprehensively evaluates the DMI + OBV + MOMENTUM indicators. When these indicators are above 60 or below -60, the DOM (60) and DOM (-60) indicators are created. In other words, the DOM (60) indicator corresponds to the overbought range and indicates the end of the high point. The DOM (-60) indicator corresponds to the oversold range and indicates the end of the low point. Therefore, when the HA-Low indicator resists and falls, the actual stepwise decline is likely to start when it falls below DOM (-60). On the other hand, when the HA-High indicator is supported and rises, the actual step-up trend is likely to start by rising above DOM (60). This compensates for the shortcomings of the HA-Low and HA-High indicators. - There is no way to be 100% sure in all transactions. Therefore, if the motivation to start a transaction is clear, it is only worth challenging the transaction. Finding that motivation and deciding how to start a transaction that suits your investment style is the trading strategy and the core of trading. - Thank you for reading to the end. I wish you successful trading. --------------------------------------------------
Education
by readCrypto
2
Negative Risk/Reward: Hidden Edge or Hidden Danger?It’s a topic that sparks plenty of debate. 👉 Can a negative risk/reward ratio actually be part of a winning strategy? Here’s our take, split between intraday trading and swing trading: 📉 Intraday Trading ☑️ Pros: • Can work in high‑probability setups (mean‑reversion, range scalps) • Quick targets often get hit before stops • Stops can sit beyond liquidity grabs to protect the trade ⚠️ Cons: • Needs a consistently high win rate • Prone to slippage and fast spikes • Can lead to over‑trading if discipline slips If used, risk must always be pre‑defined — not adjusted mid‑trade. ⏳ Swing Trading ☑️ Pros: • Occasionally helps avoid being stopped on deeper pullbacks • Gives breathing room in trending markets ⚠️ Cons: • Smaller targets vs bigger stops rarely pay off over time • Lower win rate on higher timeframes makes it hard to sustain • Exposed to news gaps & weekend risk Overall, swing trading works best with positive R/R setups (e.g., 2:1 or higher). ☑️ Summary: Negative R/R can work — but only if: • The setup is statistically proven & high probability • You keep risk strictly pre‑defined • It fits the pair, timeframe & volatility Most traders are better off sticking to positive R/R — but for experienced scalpers, negative R/R can be a tool rather than a trap. 💭 Do you use negative risk/reward in your strategy? Only intraday, or do you apply it to swing trades too? Drop your thoughts below —we're curious to hear how others approach it! 👇 Thanks again for the likes, boosts, and follows — really appreciate the support! Trade safe and all the best for the week ahead! BluetonaFX
Education
by BluetonaFX
Institutional Adoption of Cryptocurrencies and Regulatory ReformIn 2025, the cryptocurrency market entered a new phase of maturity, driven by the active participation of institutional players and global regulatory reforms. Just a few years ago, cryptocurrencies were associated with decentralized anarchism, but today they are being integrated by major banks, investment funds, and even governments. The U.S. and the Digital Dollar A pivotal moment came when the U.S. passed a law establishing the legal status of stablecoins, especially those backed by fiat currency and regulated at the federal level. Some of these are now regarded as digital versions of the U.S. dollar and have received support from the Federal Reserve. This enabled banks to use such tokens for settlements, cross-border transfers, and liquidity storage. With the growing legitimacy of cryptocurrencies like Ethereum and Bitcoin, large-scale investments from institutional players became feasible. Funds such as BlackRock and Fidelity not only launched their own Bitcoin-based ETFs but also began offering tokenized bonds and other hybrid financial instruments built on blockchain. Europe and MiCA 2.0 The European Union is not lagging behind. In 2025, the updated MiCA 2.0 (Markets in Crypto-Assets) regulation came into force, expanding the scope of oversight to include DeFi, NFTs, and AI smart contracts. Exchanges and wallets are now required to comply with strict KYC/AML standards and provide proof of reserves. This significantly reduced fraudulent activity and increased trust in the industry. The digital euro, though limited in circulation, has become part of the EU's economic ecosystem. It is actively used for distributing social benefits, paying for government services, and piloting smart city projects. Consequences and Outlook New regulatory frameworks have spurred the emergence of unique hybrid solutions — for example, the tokenization of real estate and government bonds. Institutional investors are eager to acquire such assets, valuing their transparency, liquidity, and diversification potential. This has also changed the behavior of retail investors: trust has increased, more educational platforms have appeared, and safer investment tools have become available. Looking ahead, we can expect even deeper integration of cryptocurrencies with traditional finance. In the next two years, the launch of international CBDC platforms, new cryptobanks, and decentralized exchanges with institutional support is anticipated.
FX:CRYPTOSTOCKEducation
by CryptoLifeone
How to Track Your Trades Like a ProThere are plenty of apps, platforms, and trading tools available for tracking your trades — but personally, I believe in creating your own solution. It’s simply more effective and, most importantly, more impactful. Create your own spreadsheet in Excel, Google Sheets, or any tool of your choice. The key columns to include are: Trade date Instrument Position size (in number of contracts/shares and in monetary value) Entry and exit prices Result in % and absolute value Stop-loss and take-profit levels Risk-reward ratio (potential profit divided by potential loss) Margin size (useful for trade planning) Broker and exchange commissions Comments (include reasons for entry/exit, emotional state, expectations, etc.) Next, calculate and analyze the following performance metrics: Win rate (% of profitable trades) Average profit per trade Loss rate (% of losing trades) Average loss per trade Once you’ve collected some data, you’ll begin to understand where you are and where you’re headed. Review your stats weekly, bi-weekly, or monthly depending on your trading style. Statistics help you analyze your stop-loss efficiency (are they too tight or too wide, constantly getting hit by volatility?), and whether you're exiting too early (post-trade analysis is extremely valuable here — observe what the price does after you’ve exited the trade). Focus on improving your stats. As a rule of thumb, your win/loss ratio should be around 70/30 or better. Average profit vs. average loss varies by style, but aim for a 3:1 profit-to-loss ratio at minimum — for example, a 3% average profit vs. a 1% average loss. Ideally, you want 5:1. It’s absolutely achievable. You can also analyze the extremes in your stats: your biggest winner, your worst loss — study them closely. Trading is a tough business — but it is a business. There’s no magic here. It’s all about working on your stats and on yourself, just like in any other serious profession. Wishing you success and continuous improvement in your trading performance.
OANDA:XAUUSDEducation
by kventinka
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!
Education
by WhiteBIT
6
Navigating the Complexities of Forex Swap RatesNavigating the Complexities of Forex Swap Rates Forex swap rates, pivotal in currency trading, reflect the cost of holding a position overnight. This article unpacks swaps, offering clarity on their calculation and impact. Even seasoned traders may be confused with the complexity of swaps. It’s vital to learn about how these costs relate to effective strategy and fee management. Dive into the complexities of forex swaps and learn how they can influence decisions and overall performance in the ever-evolving trading world. Understanding Forex Swap Rates For traders, understanding forex market swap rates is crucial. A swap is essentially the interest differential paid or charged to a trader when they hold a position overnight. The concept hinges on the idea that when you trade currencies, you are effectively borrowing one currency to buy another. Hence, these rates come into play, reflecting the cost of the process. The swap rate definition boils down to the interest rate difference between the two currencies involved in a trade. For instance, if you are going long in a pair like EUR/USD, the swap rate would be determined by the difference in interest rates set by the European Central Bank and the Federal Reserve. If the borrowing cost of the euro is lower than that of the dollar, holding the EUR/USD pair overnight would typically result in a charge. Conversely, if the euro has a higher borrowing cost, you might see your balance credited. Calculating swaps involves a straightforward formula: Swap rate = (Contract size × Interest differential) ÷ 365 This calculation takes into account the size of your position and the interest rate difference, providing a daily cost or gain for holding the position. Understanding these costs is vital when it comes to managing trading expenses and strategy in the forex market. Key Elements Influencing Swap Rates Several factors play pivotal roles in determining overnight swap rates in the forex market. 1. Interest Rate Differentials: The primary driver of overnight rates, interest differentials stem from the varying monetary policies of central banks. For example, if the Bank of England has a higher lending rate than the Federal Reserve, a buy trade in GBP/USD could mean earning for maintaining the position overnight. 2. Market Conditions: Economic stability, political events, and financial market volatility can significantly impact overnight charges. During periods of high volatility or geopolitical uncertainty, rates may fluctuate more dramatically, reflecting the increased market risk. 3. Liquidity: The level of liquidity in the market often influences overnight costs. In less liquid markets and less commonly traded pairs, higher swaps might be charged due to the increased cost of facilitating these trades. 4. Broker Policies: Different forex brokers might have varying policies and calculations for their own swaps. These differences usually arise from the brokers' own pricing structures, risk management strategies, and competitive positioning in the market. As such, traders should be aware that overnight charges vary from broker to broker. Types of Forex Swaps There are primarily two types of swaps that traders may encounter, each serving distinct purposes and offering unique implications for trading strategies. 1. Interest Swaps: These involve the exchange of interest payments between parties. In forex, it typically manifests as the fee a trader pays or receives for holding a position overnight. They directly impact the cost of maintaining open positions in different pairs. 2. Currency Swaps (Cross-Currency Swaps): Also known as a currency rate swap, this involves exchanging principal and interest payments in two different currencies. While less common in everyday retail forex activities, they are important in managing currency exposure and risk, particularly in hedging strategies. Currency swaps are used to secure a predetermined exchange rate for a specified currency amount while incorporating a benchmarked or fixed interest rate. This type is usually used by corporations or brokers. Regarding fixed swap rates, they are less common in the forex market compared to the more prevalent floating swap rates. They’re often used in less volatile financial environments and typically find their application in long-term financial instruments or corporate finance rather than in the day-to-day trading of currencies. Strategies for Managing Swap Rates Management of swaps in forex involves several key strategies: - Short-term Trading: By closing positions before the end of the trading day, traders can avoid incurring overnight fees altogether. It’s a so-called day trading since positions are typically closed by the end of the day. - Hedging: Implementing hedging strategies may mitigate overnight fees. This involves opening opposite positions in correlated pairs, thus potentially balancing the amounts paid and received. - Economic Calendar Awareness: Staying informed about major economic announcements and central bank decisions often helps traders anticipate changes in borrowing costs. - Broker Selection: Choosing the right broker is critical. Selecting a broker with favourable rates might significantly reduce trading fees, especially for those holding long-term positions. Practical Implications for Traders Understanding and managing these charges has direct implications for traders' strategies and overall performance. Key considerations include: - Carry Trading: A carry trade strategy entails borrowing in a currency with a lower interest rate and investing in another with a higher yield. Traders take advantage of the interest differential but must be mindful of potential fees. - Rollover Costs: Traders holding positions overnight need to account for rollover costs, which can either erode or enhance returns, depending on the direction of the trade and the prevailing swap rates. - Currency Exposure Management: Swap rates affect the overall cost of maintaining a position. Traders need to balance the potential advantages of holding a position against the charges incurred. The Bottom Line Mastering swap rates is a cornerstone of trade management. A thorough understanding may empower traders to navigate these costs and potentially improve their strategies. By carefully considering factors like interest differentials and broker policies, traders may manage their trades and overall performance more effectively. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
Education
by FXOpen
6
How to use Session Profiles for Day TradingHey whats up traders, in reveal cheat code for day trading by using session profiles. It's powerful concept. If correctly applied with HTF trend it will allows you to join running train path the right time. Dont forget to follow me. I release such articles every Monday. 🧠 What Are Session Profiles? A session profile describes the typical price structure and narrative during a market session — from open → high/low → close. In Forex, we focus on: • Asian Session • London Session • New York Session Each session can act as either a reversal or continuation of the previous session(s). 📈 Why They Work Markets are engineered to: • Run stops (above highs or below lows) • Fill inefficiencies (fair value gaps or imbalances) CLS prefer to move price during specific times — the active hours around session opens. This is where liquidity is high and slippage is minimal, making it ideal for executing large orders. So, session profiles help us map out when and where these manipulations are most likely to happen. ✅ Why You Should Use Them Session profiles help you: • Avoid low-probability trades in dead sessions • Focus on high-probability narratives • Anchor your execution models to context But remember: they are not an entry model. You still need: • A higher timeframe bias • A mechanical entry model • A system for risk and trade management 🔁 How to Use Session Profiles Use the previous session(s) to anticipate the next one. • For London session → analyze the Asian session • For New York session → analyze Asian + London sessions You’re looking for: 1. Manipulations into key levels 2. Displacement (price moves away strongly) 3. Change in order flow (e.g. OB,on M5 ,15 or H1) 4. Remaining liquidity targets (draw on liquidity) 📊 Session Profile Types with Chart Logic 1. 🔄 London Continuation Profile Conditions: • Asia session already made a manipulation into a key level • Price displaced away from that level • CIOD / OB on M15 or H1 before London open Example: • H1: Asia runs stops above H1 high into a fair value gap (key level) • Displacement confirms intent • At London open, price retraces into M15 premium (PD array) and continues in the same direction Invalidation: the manipulation high/low from Asia session Narrative: Asia did the manipulation → London does the continuation. 2. 🔁 London Reversal Profile Conditions: • Asia session consolidates near a higher timeframe key level • London open initiates the manipulation into the key level • Displacement + M15 BOS after manipulation Example: • H1: Asia consolidates under daily FVG • London opens, price runs Asia high into that FVG • M15 breaks down → clean short setup • Target: higher timeframe draw on liquidity (e.g., previous day low) Invalidation: the London session high (manipulation point) Narrative: London performs the manipulation → price reverses. 3. 🔄 New York Continuation Profile Conditions: • Asia + London already created a clear manipulation and displacement • London has not reached the final draw on liquidity • London is not overextended (e.g., <70 pips move) • New York opens with structure intact for continuation Example: • H1: London makes a reversal from a key level and displaces lower • Draw on liquidity (e.g., previous day low) still untouched • NY opens and continues the sell-off, retracing briefly into M15 imbalance before expanding lower Invalidation: manipulation level from London Narrative: London set the direction → NY finishes the move. 4. 🔁 New York Reversal Profile Conditions: • No clear London profile (no key level touched, no strong CHoCH) • NY opens and manipulates into a key level (e.g., daily OB, FVG) • Clear M15 or H1 CHoCH or BOS confirming reversal • Asia + London lows still intact (liquidity available below) Example: • H1: No strong setup in London • NY opens, price spikes into daily OB and takes out London highs • M15 structure shifts → sell targeting London + Asia lows Invalidation: NY session manipulation high Narrative: London was noise → NY takes control and reverses. 🔁 Visual Structure Flow Before applying any session profile, confirm: 1. High-probability trading conditions (e.g., key level proximity, market open, liquidity available, Red News) 2. Bias in place (HTF (D1 and Weekly direction must be known) Then: → Check for valid session narrative → Select the correct session profile → Wait for the stop run of H1 / H4 → Is there enough room for the move to key level → If we are still in first half of session you can enter. If its close the end of session skip it. → Apply your entry and risk model. → Dont be greedy look for 2:1 RR trade and get out. 🔁 How to enter ? if bearish - You always want enter above H1 I H4 candle after LTF CIOD If bullish - You always want to enter bellow H1/ H4 after LTF CIOD. Use Order block to enter the market here is how to identify it correctly Remember: Never sell low / Never buy High... wait for stop run / Liquidity sweeps. If you dont know where is the liquidity - you will be liquidity. Hope this brings clarity to your trading. Done on the Tradenation Charts Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis. "Adapt what is useful, reject what is useless, and add what is specifically your own." — David Perk aka Dave FX Hunter ⚔️
TRADENATION:XAUUSDEducation
by David_Perk
52
Timeframes: Why They’re Fundamentally Flawed (And What To Do)When analyzing price action, timeframes serve as a convenient lens through which traders attempt to make sense of the market. They help us categorize price movement — bullish , bearish , ranging , trending , and so on — within a structured framework. But here’s the reality: candlesticks themselves aren’t real . Much like clocks or calendars, they’re simply man-made constructs — tools we've invented to measure and scale something intangible: time . I know that might sound a bit abstract, but stay with me. While traders commonly rely on standard timeframes like the Daily, 4H, 1H, 15M , etc., it’s important to recognize that price doesn’t conform to these rigid intervals. The market moves continuously, and the “spaces between” those timeframes — like a 27-minute or 3-hour chart — are just as real . These non-standard timeframes often offer better clarity depending on the speed and rhythm of the market at any given moment. This begs the question: How do we keep up with this ever-shifting pace? Do we constantly toggle between similar timeframes to recalibrate our analysis? Do we measure volatility? Amplitude? Period length? There’s no clear consensus, which leads to inefficiency — and in trading, inefficiency costs. In my view, the solution lies in blending multiple nearby timeframes into a single, adaptive framework . We need a representation of price action that adjusts automatically with the speed of the market. And the answer is surprisingly simple — literally . It’s called the Simple Moving Average (SMA) . Think an SMA is just a line representing past highs, lows, or closes? It’s much more than that. When used creatively, the SMA becomes a dynamic lens that filters noise, reveals trend clarity, and smooths out irregularities in price behavior. Rather than relying on a single metric, we can combine multiple SMA variations — highs, lows, opens, closes — into one composite view of the market . This gives us a continuously adjusting snapshot of average price action. Once we adopt this approach, everything starts to click. • Engulfing patterns become more reliable • Liquidity sweeps occur less frequently • Supply and demand zones become more precise • Market structure begins to make consistent sense With SMA-based price action , our strategies don’t just become clearer — they become smarter . Want to See It in Action? If you’re interested in applying this concept to your own trading strategy, check out my TradingView profile: The_Forex_Steward . There, you’ll find the SMA Price Action indicator used in the examples shown, as well as tools that apply this methodology to: • Supply and Demand • Market Structure • Market Balance Levels • Velocity & Momentum • And more to come! If you found this idea helpful, be sure to follow the page. I’ll be releasing more exclusive indicators and trading concepts soon — so stay tuned!
Education
by The_Forex_Steward
How Sell Side Institutions Move Price: BuybacksThere are Buy Side Institutions, aka Dark Pools, and there are Sell Side Institutions, the Money Center Banks and Giant Financial Services companies. These two groups dominate the market activity and move price in entirely different ways and for entirely different reasons. Sell Side Institutions are short-term TRADERS. They are not allowed, nor do they wish, to hold stocks for the long term. The Sell Side trades stocks and has the most experienced, most talented, and most sophisticated floor traders in the world. Buy Side Dark Pools have floor traders as well but they are strictly long-term investment companies managing the 401ks, pension funds, ETF long-term investments on behalf of the Middle Class of America and, in some instances, other nations. Sell Side Institutions may buy a stock and hold for a few weeks or months but strictly for the short-term profits. The Sell Side are also the Banks of Record who do the BUYBACKS on behalf of the Corporation which has made the decision by the Corporation's Board of Directors to do a buyback program, which tend to last many months or longer. Corporations do not have stock traders on staff. So the Bank of Record does the actual buying of the shares of stock. The reasons for doing a Buyback: To lower the outstanding shares which can create some momentum runs during high buying demand from retail groups and other investors. Buybacks are intended to move price UPWARD in runs. The price range is established by the corporation. The runs are created by the Bank of Record. Buybacks also increase dividend yields for long term investors, including pension fund investors. NASDAQ:AAPL has a mega buyback that was approved in May but has just started now. Buybacks can be a great strategy for trading stocks this year as many corporations will be doing buybacks due to the reduction of their taxes and more benefits to corporations. Now is the time to start watching for buyback runs.
NASDAQ:AAPLEducation
by MarthaStokesCMT-TechniTrader