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#AN018: Summer shock, tariffs, Fed delays, and the dollar's shif In recent days, the forex world has experienced a sequence of key events that could redefine the global currency landscape in the coming months. Risk to the dollar has become structural, the threat of tariffs is multiplying again, and the combination of geopolitical uncertainty and monetary policy creates an extremely risky mix for exchange rates. Let's start with the Fed minutes: Jerome Powell attributed tariff risk to the main reason for postponing possible rate cuts. Market expectations are realigning toward a longer rate cycle, fueling a climate of global uncertainty. At the same time, Goldman Sachs warns that the dollar is increasingly moving as a "risky" currency, correlated with equity markets—an emerging market rather than a safe haven. On the geopolitical front, President Trump has relaunched the trade war: announcements of tariffs of up to 35% on Canada, up to 20% on Europe, and 50% on copper from Brazil have caused futures volatility to soar and sent the dollar into a short-term rally. But Deutsche Bank is sounding the alarm: the summer period of low liquidity and rising trade tensions represents a potential trigger for prolonged currency turbulence. The Financial Times envisions a scenario in which the dollar loses ground as the dominant currency, ushering in a multipolar currency world in which the euro, renminbi, gold, and even cryptocurrencies could gain ground. The impact on Forex: USD: The narrative is changing: no longer a net safe haven, but an asset correlated with political and risk cycles. The weakness of the DXY index in the first half of 2025 (-10%) reflects this transition. EUR/USD: Potentially favored if the dollar continues its consolidation. However, new tariffs and US-EU uncertainty could provide temporary support for the greenback. USD/JPY and USD/CHF: These crosses will be subject to greater volatility, with the next catalyst being the Fed minutes and the timing of tariffs. Safe-haven currencies strengthen during periods of uncertainty. CAD, AUD, NZD: penalized by tariffs on Canada and Brazil and a weak dollar. OPEC+ and geopolitical tensions could boost commodities, but data confirmation is needed. Commodity cross-correlation: USD/CAD could rebound if oil loses momentum, while AUD/JPY is sensitive to both the RBA and increased global risk. Conclusion: The current currency environment appears unstable and sensitive to political and trade developments. Summer volatility could persist, and those who can read the macro and institutional signals (Fed, tariffs, geopolitics) will have the opportunity to enter accurately. Until a stable direction emerges, EUR/USD looks like the most interesting cross to capture a potential structural correction in the dollar.
Education
by Andrea_Russo_SwipeUP
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!
COINBASE:BTCUSDEducation
by WrightWayInvestments
33
A way to find Historical BottomsWhen it comes to trading stocks, one of the most powerful skills you can develop is the ability to spot historical bottoms , those rare moments when a stock finishes its downtrend and starts a new upward journey. Catching these bottoms means entering trades with low risk and high reward potential , riding the wave of a new trend from the very beginning. The Power of Double Bottoms One of the most reliable chart patterns for identifying market bottoms is the Double Bottom. This pattern acts like a springboard for price, signaling that sellers are losing control and buyers are stepping in, showing a clear floor Here’s how it works: First Bottom : The stock drops to a new low, but then buyers push it up. Second Bottom: After a short rally, the price falls again, often to a similar level as the first bottom , but this time, it doesn’t go lower. Buyers step in once more. Breakout : When the price rises above the high point between the two bottoms, it confirms the pattern and suggests a new uptrend is beginning. This structure creates a clear “floor” in the market, showing where demand outweighs supply. Traders love this setup because it gives a logical place to set stop-losses, keeping risk low. Learning from the Chart Let’s look at the provided chart of Gold Royalty Corp. (GROY) to see this in action. The chart highlights two Double Bottom patterns that formed over several months. 1st Double Bottom: Notice how the price hits a low, bounces, and then returns to the same area before bouncing again. This repeated support signals a strong bottom. 2nd Double Bottom: The pattern repeats, confirming even more buyers are entering at this level. After these patterns form, the price breaks out above the resistance level (the high between the two bottoms). This breakout is often the ideal buy zone, the moment when a new trend is likely starting, and risk is minimized because your stop can be placed just below the recent lows. Why Double Bottoms Work Double Bottoms are powerful because they reflect real market psychology: Capitulation : Sellers exhaust themselves on the first dip. Testing : The second dip tests the market’s conviction, if buyers step in again, it’s a strong sign of a bottom. Confirmation : The breakout above resistance confirms that demand is back in control. How to Trade Double Bottoms Here’s a simple, actionable approach: Identify the Pattern : Look for two distinct lows at roughly the same price level, separated by a moderate rally. Wait for Confirmation : Only enter when the price breaks above the high between the two bottoms. Set Your Stop : Place your stop-loss just below some important local low or some fibo levels that we always share in our newsletter. Target the Move: Use previous resistance levels or Fibo levels. Example from the Chart In the GROY chart, after the second Double Bottom, the price broke out and rallied strongly, hitting both target levels marked on the chart. Traders who entered at the breakout enjoyed a substantial move with limited downside. Take away Spotting Double Bottoms isn’t about predicting the future—it’s about reading the market’s story. By focusing on these patterns, you can find historical bottoms with confidence, enter trades with low risk, and position yourself to ride the next big trend. The best part? You don’t need to catch every bottom, just the clear, confirmed ones. That’s how you build consistency and success in trading. If you’re new to chart patterns, start by looking for Double Bottoms on historical charts. Practice spotting them, and you’ll soon see how they can transform your trading approach.
AMEX:GROYEducation
by TopChartPatterns
Let your winners run🧠 Fear | Hope | Growth – When Trading Meets Emotion The message on the chart isn't just poetic — it's real psychology. 🔹 Fear wants to cut your winners short. It sneaks in after a small move in your favor. "What if it reverses? I better lock this in." And just like that, a great trade turns into a missed opportunity. 🔹 Hope drags you into holding too long. It dreams: "Maybe it doubles... maybe this time it'll be massive." But it's not guided by data — it's driven by fantasy. 🔹 Discipline is what sits in the middle. Quiet. Neutral. It doesn’t scream or seduce — it just follows the plan. And that’s where Growth lives — not just on the PnL, but in your psychology. When Bitcoin pushes toward new ATHs, these emotions get amplified. The real question becomes: Can you manage yourself, not just your trade? 📌 A Real Example from My Desk In my earlier BTCUSD idea — “Another Edge – Decision Time” (shared above) — I sent that setup to one of my managed clients. He entered long exactly at the edge of the channel — a clean, strategic buy. Price moved beautifully in our favor… But he manually closed the trade at 106,600 — long before the move matured. Why? Because fear of giving back profit overwhelmed the original plan. The chart was right. The timing was right. But the exit was emotional, not tactical. ✅ The trade made money. ❌ But the lesson is clear: a profitable trade doesn’t always mean a disciplined one. 🎯 Final Takeaway: “Fear kills your winners. Hope kills your timing. Discipline grows your equity and your character.” 🗣 What would you have done in that position? Held longer? Closed at resistance? Let it run toward ATH? Let’s talk psychology — drop your thoughts 👇 #MJTrading #TradingPsychology #BTCUSD #FearHopeDiscipline #LetYourWinnersRun #PriceAction #BTCATH #ForexMindset #CryptoStrategy
KRAKEN:BTCUSDEducation
by MJElahifx
2
#AN017: Dirty Levels in Forex: How Banks Think In the world of Forex, many retail traders are accustomed to seeking surgical precision in technical levels. Clear lines, pinpoint support, geometric resistance. But the truth is that the market doesn't move in such an orderly fashion. I'm Forex Trader Andrea Russo, and I thank my Official Broker Partner in advance for supporting us in writing this article. Institutions—banks, macro funds, hedge funds—don't operate to confirm textbook patterns. Instead, they work to manipulate, accumulate, and distribute positions as efficiently as possible. And often, they do so precisely at the so-called "dirty levels." But what are these dirty levels? They are price zones, not individual lines. They are areas where many traders place stop losses, pending orders, or breakout entries, making them an ideal target for institutional players. The concept of a dirty level arises from the fact that the price fails to respect the "perfect" level, but breaks it slightly and then retraces its steps: a false breakout, a trap, a hunt for stops. Banks are very familiar with the behavior of retail traders. They have access to much more extensive information: aggregated positioning data, open interest in options, key levels monitored by algorithms. When they see concentrations of orders around a zone, they design actual liquidity triggers. They push the price just beyond the key level to "clean" the market, generate panic or euphoria, and then initiate their actual trade. How are these levels identified? A trader who wants to operate like an institution must stop drawing sharp lines and start thinking in trading bands. A dirty level is, on average, a zone 10 to 15 pips wide, around a psychological level, a previous high/low, or a breakout area. But technical structure alone is not enough. It's important to observe: Volume density (volume profile or book visibility) Aggregate retail sentiment (to understand where stops are placed) Key option levels (especially gamma and maximum pain) Rising open interest (as confirmation of institutional interest) When a price approaches a dirty level, you shouldn't enter. You should wait for manipulation. The price often briefly breaks above that range, with a spike, and only then does it retrace its steps in the opposite direction. That's when banks enter: when retail has unloaded its positions or been forced into trading too late. The truly expert trader enters after the level has been "cleaned," not before. This type of reading leads you to trade in the opposite way to the crowd. It forces you to think ahead: where they want you to enter... and where they actually enter. And only when you begin to recognize these invisible patterns, when you understand that the market is not linear but designed to deceive you, do you truly begin to become a professional trader. Conclusion? Trading isn't about predicting the price, but predicting the intentions of those who actually move the market. Dirty levels are key. Those who know how to read manipulation can enter profitably, before the real acceleration. And from that moment, they'll never look back.
Education
by Andrea_Russo_SwipeUP
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
17
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
4
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
24
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
18
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