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Beyond Technical Analysis

The SECRET is Compounding Tiny Objectives & Finding SatisfactionIn this video I talk about what I don't really find people talking about, which is how important it is to find satisfaction in your trading. When I say 'satisfaction', I am talking about the monetary kind. What do I mean by this? A problem I used to have in my earlier days was over-trading, revenge trading, blowing accounts, the usual story. I even had a decently high win-rate and I was good at understanding price. What I discovered was that I was not finding satisfaction because I was not risking enough on my trades. You see.. my strategy had a high win-rate with a positive R average, but the setups did not appear that often. Not as rare as a unicorn, but still, I'd have to sit around and wait and wait and wait. By the time my setup came, I put on a small risk, and I won small. Subconsciously, I found that quite frustrating, even though I was actually winning most of my trades. You can imagine how I felt when I lost a trade. I felt like I invested all that time for nothing. One could argue that I was being careful, but the problem was I was being too careful. I age the same as everyone else, and everyone else ages the same as me. I am investing my time into this strategy, time I will never get back. If I am not utilizing my time in relation to the earning potential, then that is a bad investment. Being a psychologically prone person, I made it a serious rule that all my criteria for my setup must be hit before I take that trade, no exceptions. I kept myself on the higher timeframes so that my mental state can safely process what I needed to process, whether it was analytical or just psychological. Another point was getting over what others were showcasing or doing. Material luxuries and large wins are all subjective things. It was frustrating seeing people trade every single day, most of them with green days. I felt like I had to do the same too to be a good trader. I was WRONG. What I actually need to do was make my system work for me, and that included how I implemented risk and what was satisfying enough for me to pursue. Like I said in the video, if what you want to do is not interesting or attractive to you, you won't want to do it. As long as what you want to do makes sense and isn't you trying to go from zero to a hundred in 2.5 seconds. As the title says, compound tiny objectives but make it satisfying in terms of risk and your time invested. - R2F Trading
CME_MINI:NQ1!Education
by Road_2_Funded
How to read market sentiment like a pro? 1️⃣ What Is Consumer Sentiment? Consumer sentiment reflects how optimistic or pessimistic people feel about their financial situation and the overall economy. It’s a measure of people’s willingness to spend money. When confidence is high, consumers tend to spend more. When it's low, they hold back. ✅ It helps anticipate shifts in market behavior ✅ Used as a macroeconomic signal for traders and investors ✅ Often treated like a leading indicator for the S&P 500 and other indices 2️⃣ Why Is Consumer Sentiment Important? The economy is largely driven by consumer spending. When people feel good about the economy, they: - Buy more products - Take on more debt - Invest in assets This behavior fuels business growth and market momentum. When sentiment drops, the opposite happens. Sentiment is not always perfect or predictive, but it increases the probability of price moves — and in trading, we always aim for higher probabilities, not certainties. 3️⃣ Types of Sentiment Indicators There are several forms of sentiment tracking: ✔️ Consumer Sentiment Index (e.g. University of Michigan) ✔️ News Sentiment (based on headline tone) ✔️ Market Sentiment Indicators (e.g. VIX, bond spreads) ✔️ Social/Headline Aggregators (e.g. AI-driven data that tracks public mood) ✔️ XLY/XLP what we have here Each has strengths and limitations. For example, consumer sentiment is slower to change but more reliable long-term. News sentiment can be noisy and volatile but responsive. 4️⃣ How to Use Consumer Sentiment Treat sentiment like a range or zone: - High sentiment = potential market tops (overconfidence) - Low sentiment = potential bottoms (fear and contraction) Look for divergences: - When sentiment is improving but markets are falling 👉 could signal a reversal - When sentiment is declining while markets are rising 👉 could suggest caution 🧠 Think in probabilities, not possibilities. Just because sentiment is high doesn’t guarantee a rally but it does increase the odds, especially when combined with other data. 5️⃣ Example Ratios: XLY vs XLP To break down consumer sentiment further, traders sometimes compare two: XLY (Consumer Discretionary): Companies people spend money on when they feel confident (e.g. Amazon, Tesla) XLP (Consumer Staples): Essential goods people buy regardless of economy (e.g. Walmart, Procter & Gamble) If XLY/XLP is rising: consumer confidence is likely improving If XLY/XLP is falling: sentiment is likely weakening This ratio helps gauge spending behavior and risk appetite in a more visual, trackable way. 6️⃣ Limitations of Consumer Sentiment ⚠️ Not always aligned with price action in short-term ⚠️ Lagging data depending on source ⚠️ Can be influenced by temporary events (e.g. political shifts, news headlines) ⚠️ Doesn’t work well alone should be used with technical and fundamental analysis 7️⃣ Final Thoughts Consumer sentiment is one of the most powerful but often overlooked indicators. It doesn’t tell you exactly what will happen, but it gives important context: ✅ Where we are in the economic cycle ✅ How confident people are in spending ✅ When the market may be out of sync with the real world Use sentiment tools to build a higher-probability picture of what’s next. Combine them with price action, macro analysis, and volume-based tools for a more complete view.
AMEX:XLYEducation
by Risk_Adj_Return
Building Liquidity: What It Really Means🔵 Building Liquidity: What it really means Professional traders often need liquidity (buyers and sellers) to enter/exit large positions without moving the market too much. This means manipulating the market within a pre-determined range, which serves as the operating center for everything that follows. 🔹 How is liquidity built Price Ranging: Sideways consolidation before big moves attracts both buyers and sellers. False Breakouts (Stop hunts): Price may briefly break support/resistance to trigger retail stop-losses and fill institutional orders. News Timing: Pro traders often execute during or just before major news when volatility brings liquidity. 🔹 How can you spot a Liquidity-building zone 🔸 Volume Unusual spikes in volume: Often indicate institutional activity. Volume clusters at ranges or breakouts: Suggest accumulation/distribution zones. Volume with price divergence: Price rises but volume falls = possible exhaustion. Volume rises and price consolidates = potential accumulation. 🔸 Price Action Order Blocks / Imbalance zones: Sharp moves followed by consolidations are often pro trader footprints. Break of Structure (BoS): Institutions often reverse trends by breaking previous highs/lows. Liquidity sweeps: Price moves aggressively above resistance or below support then reverses = stop-loss hunting. 🔸 News Reaction Watch pre-news volume spikes. Look for contrarian moves after news — when price moves opposite to expected direction, it often reveals smart money traps. Analyze price stability post-news — slow movement shows absorption by pros. Wick traps and reversals around news events = stop hunting. 🔸 Narrative is Everything Higher timeframe trends show intent. Lower timeframes show execution zones. Look for alignment between timeframes in a specific direction. 🔹 Why do whales move the market in an orderly manner To fill large positions at optimal prices. To create liquidity where there is none. To trap retail on the wrong side of the move. To trap other whales on the wrong side of this move. To rebalance portfolios around economic cycles/news. 🔹 Professionals never forget what they've built When you track price, volume, and news, you’ll find specific bars that form areas that are the foundation for the short-term direction. This is pure VPA/VSA logic, the interplay of Price Analysis ,Volume Analysis and News, where each bar is not just a bar , but a clue in the story that professionals are writing. When you monitor volume, price, and news together and perform multi-timeframe analysis, it becomes clear what the whales are doing, and why. 🔹 From the chart above The market reached a weekly resistance level and then pulled back slightly after whales triggered the stop-losses of breakout traders. Prior to the breakout, whales had accumulated positions by creating a series of liquidity-rich buying zones on the daily timeframe. It's essential to understand the broader context before choosing to participate alongside them—whether you're planning to buy or sell. 🔴 Tips Use volume and price analysis together, not separately. Monitor any unusual volume bars before economic market news. Monitor news and volatility spikes to detect traps and entries. Combine this with liquidity zones (support/resistance clusters). Build a "narrative" per week: What is smart money trying to do? A smart trader understands the tactics whales use, and knows how to navigate around them.
COINBASE:BTCUSDEducation
by AlgoFuego
Learn What is TRAILING STOP LOSS | Risk Management Basics In the today's article, we will discuss a trailing stop loss. I will explain to you its concept in simple words and share real market examples. 🛑Trailing stop loss is a risk management tool that allows to protect unrealized profits of an active trading position as long as the price moves in the desired direction. Traditionally, traders trade with fixed stop loss and take profit. Following such an approach, one knows exactly the level where the trade will be closed in a profit and the level where it will be closed in a loss. Take a look at a long trade on USDCAD above. The trade has fixed TP Level - 1.354 and fixed SL Level - 1.341. Once one of these levels is reached, the trade will be closed. Even though the majority of the traders stick to fixed sl and tp, there is one important disadvantage of such an approach – substantial gains could be easily missed . After the market reached TP in USDCAD trade, the price temporarily dropped, then a strong bullish rally initiated and the price went way above the Take Profit level. Potential gains with that long position could be much bigger. Trailing stop solves that issue. With a trailing stop loss, the trader usually opens the trade with Stop Loss and WITHOUT Take Profit. Take a look at a long trade on USDCHF. Trader expects growth, he opens a long position and sets stop loss – 0.8924, while take profit level is not determined. With a trailing stop loss, the trader usually opens the trade with Stop Loss and WITHOUT Take Profit. As the market starts growing, one decides not to close the trade in profit, but modify stop loss – trail it to the level above the entry. As the market keeps rallying, one TRAILS a stop loss in the direction of the market, protecting the unrealized gains. When the market finally starts falling, the price hits stop loss and a trader closes the trade in a substantial profit. The main obstacle with the application of a trailing stop is to keep it at a distance from current price levels that is not too narrow nor too wide. With a wide stop loss distance, substantial unrealized gains might be washed out with the market reversal. Imagine you predicted a nice bullish rally on Bitcoin. The market bounced nicely after you opened a long position. Trailing stop loss too far from current price levels, all the gains could be easily wiped out. While with a narrow trailing stop distance, one can be stop hunted before the move in the desired direction continues. A trader opens a long trade on EURJPY and the price bounces perfectly as predicted. One immediately trails the stop loss. However, the distance between current prices was too narrow and the position was closed after a pullback. And then market went much higher. In conclusion, I want to note that fixed SL & TP approach is not bad , it is different and for some trading strategies it will be more appropriate. However, because of its limitations, occasionally big moves will be missed. Try trailing stop by your own, combine it with your strategy and I hope that you will make a lot of money with that! ❤️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.
TRADENATION:XAUUSDEducation
by VasilyTrader
1
Warren Buffett's Approach to Long-Term Wealth BuildingUnderstanding Value Investing: Warren Buffett's Educational Approach to Long-Term Wealth Building Learn the educational principles behind value investing and dollar-cost averaging strategies, based on historical market data and Warren Buffett's documented investment philosophy. --- Introduction: The Million-Dollar Question Every Investor Asks Warren Buffett—the Oracle of Omaha—has consistently advocated that index fund investing provides a simple, educational approach to long-term wealth building for most investors. His famous 2007 bet against hedge funds proved this principle in dramatic fashion: Buffett wagered $1 million that a basic S&P 500 index fund would outperform a collection of hedge funds over 10 years. He crushed them. The S&P 500 returned 7.1% annually while the hedge funds averaged just 2.2%. Today, we'll explore the educational principles behind this approach—examining historical data, mathematical concepts, and implementation strategies for learning purposes. --- Part 1: Understanding Value Investing for Modern Markets Value investing isn't about finding the next GameStop or Tesla. It's about buying quality assets at attractive prices and holding them for compound growth . For beginners, this translates to: Broad Market Exposure: Own a cross-section of businesses through low-cost index funds Long-term Perspective: Think decades, not months Disciplined Approach: Systematic investing regardless of market noise "Time is the friend of the wonderful business, the enemy of the mediocre." - Warren Buffett Real-World Application: Instead of trying to pick between NASDAQ:AAPL , NASDAQ:MSFT , or NASDAQ:GOOGL , you simply buy AMEX:SPY (SPDR S&P 500 ETF) and own pieces of all 500 companies automatically. --- Part 2: Dollar-Cost Averaging - Your Secret Weapon Against Market Timing The Problem: Everyone tries to time the market. Studies show that even professional investors get this wrong 70% of the time. The Solution: Dollar-Cost Averaging (DCA) eliminates timing risk entirely. How DCA Works: Decide on your total investment amount (e.g., $24,000) Split it into equal parts (e.g., 12 months = $2,000/month) Invest the same amount on the same day each month Ignore market fluctuations completely DCA in Action - Real Example: Let's say you started DCA into AMEX:SPY in January 2022 (right before the bear market): January 2022: AMEX:SPY at $450 → You buy $1,000 worth (2.22 shares) June 2022: AMEX:SPY at $380 → You buy $1,000 worth (2.63 shares) December 2022: AMEX:SPY at $385 → You buy $1,000 worth (2.60 shares) Result: Your average cost per share was $405, significantly better than the $450 you would have paid with a lump sum in January. --- Part 3: The Mathematics of Wealth Creation Here's where value investing gets exciting. Let's run the actual numbers using historical S&P 500 returns: Historical Performance: - Average Annual Return: 10.3% (1957-2023) - Inflation-Adjusted: ~6-7% real returns - Conservative Estimate: 8% for planning purposes Scenario 1: The $24K Start Initial Investment: $24,000 | Annual Addition: $2,400 | Return: 8% Calculation Summary: - Initial Investment: $24,000 - Annual Contribution: $2,400 ($200/month) - Expected Return: 8% - Time Period: 20 years Results: - Year 10 Balance: $86,581 - Year 20 Balance: $221,692 - Total Contributed: $72,000 - Investment Gains: $149,692 Scenario 2: The Aggressive Investor Initial Investment: $60,000 | Annual Addition: $6,000 | Return: 10% Historical example after 20 years: $747,300 - Total Contributed: $180,000 - Calculated Investment Gains: $567,300 Educational Insight on Compound Returns: This historical example illustrates how 2% higher returns (10% vs 8%) could dramatically impact long-term outcomes. This is why even small differences in return rates can create life-changing wealth over decades. The mathematics of compound growth are both simple and incredibly powerful. --- Part 4: Investing vs. Savings - The Shocking Truth Let's compare the same contributions invested in stocks vs. a high-yield savings account: 20-Year Comparison: - Stock Investment (8% return): $221,692 - High-Yield Savings (5% return): $143,037 - Difference: $78,655 (55% more wealth!) "Compound interest is the eighth wonder of the world. He who understands it, earns it... he who doesn't, pays it." - Often attributed to Einstein Key Insight: That extra 3% annual return created an additional $78,655 over 20 years. Over 30-40 years, this difference becomes truly life-changing. 📍 Global Savings Reality - The Investment Advantage Worldwide: The power of index fund investing becomes even more dramatic when we examine savings rates around the world. Here's how the same $24K initial + $2,400 annual investment compares globally: 🇯🇵 Japan (0.5% savings): - Stock Investment: $221,692 - Savings Account: $76,868 - Advantage: $144,824 (188% more wealth) 🇪🇺 Western Europe Average (3% savings): - Stock Investment: $221,692 - Savings Account: $107,834 - Advantage: $113,858 (106% more wealth) 🇬🇷 Greece/Southern Europe (2% savings): - Stock Investment: $221,692 - Savings Account: $93,975 - Advantage: $127,717 (136% more wealth) 🇰🇷 South Korea (2.5% savings): - Stock Investment: $221,692 - Savings Account: $100,634 - Advantage: $121,058 (120% more wealth) 💡 The Global Lesson: The lower your country's savings rates, the MORE dramatic the advantage of global index fund investing becomes. For investors in countries with minimal savings returns, staying in cash is essentially guaranteed wealth destruction when compared to broad market investing. This is exactly why Warren Buffett's advice transcends borders - mathematical principles of compound growth work the same whether you're in New York, London, or Athens. Note: Savings rates shown are approximate regional averages and may vary by institution and current market conditions. Always check current rates in your specific market for precise calculations. --- Part 5: Building Your Value Investing Portfolio Core Holdings (80% of portfolio): AMEX:SPY - S&P 500 ETF (Large-cap US stocks) AMEX:VTI - Total Stock Market ETF (Broader US exposure) LSE:VUAA - S&P 500 UCITS Accumulating (Tax-efficient for international investors) Satellite Holdings (20% of portfolio): NASDAQ:QQQ - Technology-focused (Higher growth potential) AMEX:VYM - Dividend-focused (Income generation) NYSE:BRK.B - Berkshire Hathaway (Value investing & diversification) --- Part 6: Implementation Strategy - Your Action Plan Month 1: Foundation Open a brokerage account (research low-cost brokers available in your region) Set up automatic transfers from your bank Buy your first AMEX:SPY shares 💡 Broker Selection Considerations: Traditional Brokers: Interactive Brokers, Fidelity, Vanguard, Schwab Digital Platforms: Revolut, Trading 212, eToro (check availability in your country) Key Factors: Low fees, ETF access, automatic investing features, regulatory protection Research: Compare costs and features for your specific location/needs Month 2-12: Execution Invest the same amount on the same day each month Ignore market news and volatility Track your progress in a simple spreadsheet Year 2+: Optimization Increase contributions with salary increases Consider additional core holdings like LSE:VUAA for tax efficiency Consider tax-loss harvesting opportunities Visualizing Your DCA Strategy Understanding DCA concepts is easier when you can visualize the results. TradingView offers various tools to help you understand investment strategies, including DCA tracking indicators like the DCA Investment Tracker Pro which help visualize long-term investment concepts. 🎯 Key Visualization Features: These types of tools typically help visualize: Historical Analysis: How your strategy would have performed using real market data Growth Projections: Educational scenarios showing potential long-term outcomes Performance Comparison: Comparing actual vs theoretical DCA performance Volatility Understanding: How different stocks behave with DCA over time 📊 Real-World Examples from Live Users: Stable Index Investing Success: AMEX:SPY (S&P 500) Example: $60K initial + $500/month starting 2020. The indicator shows SPY's historical 10%+ returns, demonstrating how consistent broad market investing builds wealth over time. Notice the smooth theoretical growth line vs actual performance tracking. Value Investing Approach: NYSE:BRK.B (Berkshire Hathaway): Warren Buffett's legendary performance through DCA lens. The indicator demonstrates how quality value companies compound wealth over decades. Lower volatility = standard CAGR calculations used. High-Volatility Stock Management: NASDAQ:NVDA (NVIDIA): Shows smart volatility detection in action. NVIDIA's explosive AI boom creates extreme years that trigger automatic switch to "Median (High Vol): 50%" calculations for conservative projections, protecting against unrealistic future estimates. Tech Stock Long-Term Analysis: NASDAQ:META (Meta Platforms): Despite being a tech stock and experiencing the 2022 crash, META's 10-year history shows consistent enough performance (23.98% CAGR) that volatility detection doesn't trigger. Standard CAGR calculations demonstrate stable long-term growth. ⚡ Educational Application: When using visualization tools on TradingView: Select Your Asset: Choose the stock/ETF you want to analyze (like AMEX:SPY ) Input Parameters: Enter your investment amounts and time periods Study Historical Data: See how your strategy would have performed in real markets Understand Projections: Learn from educational growth scenarios 🎓 Educational Benefits: This tool helps you understand: - How compound growth actually works in real markets - The difference between volatile and stable investment returns - Why consistent DCA often outperforms timing strategies - How your current performance compares to historical market patterns - The visual power of long-term wealth building As Warren Buffett said: "Someone's sitting in the shade today because someone planted a tree a long time ago." This tool helps you visualize your financial tree growing over time through actual market data and educational projections. --- Part 7: Common Mistakes to Avoid The "Perfect Timing" Trap Waiting for the "perfect" entry point often means missing years of compound growth. Time in the market beats timing the market. The "Hot Stock" Temptation Chasing individual stocks like NASDAQ:NVDA or NASDAQ:TSLA might seem exciting, but it introduces unnecessary risk for beginners. The "Market Crash" Panic Every bear market feels like "this time is different." Historical data shows that patient investors who continued their DCA through 2008, 2020, and other crashes were handsomely rewarded. --- Conclusion: Your Path to Financial Freedom Value investing through broad index funds and dollar-cost averaging isn't glamorous. You won't get rich overnight, and you won't have exciting stories about your latest trade. But here's what you will have: Proven strategy backed by decades of data Peace of mind during market volatility Compound growth working in your favor 24/7 A realistic path to serious wealth creation The Bottom Line: Warren Buffett's approach works because it's simple, sustainable, and based on fundamental economic principles. Start today, stay consistent, and let compound growth do the heavy lifting. "Someone's sitting in the shade today because someone planted a tree a long time ago." - Warren Buffett Educational Summary: Understanding these principles provides a foundation for informed decision-making. As Warren Buffett noted: "The best time to plant a tree was 20 years ago. The second-best time is now" - emphasizing the educational value of understanding long-term investment principles early. --- 🙏 Personal Note & Acknowledgment This article was not entirely my own work, but the result of artificial intelligence in-depth research and information gathering. I fine-tuned and brought it to my own vision and ideas. While working with AI, I found this research so valuable for myself that I could not avoid sharing it with all of you. I hope this perspective gives you a different approach to long-term investing. It completely changed my style of thinking and my approach to the markets. As a father of 3 kids, I'm always seeking the best investment strategies for our future. While I was aware of the power of compound interest, I could never truly visualize its actual power. That's exactly why I also created the open-source DCA Investment Tracker Pro indicator - so everyone can see and visualize the benefits of choosing a long, steady investment approach. Being able to see compound growth in action makes all the difference in staying committed to a strategy. As someone truly said: compound interest is the 8th wonder of the world. --- Disclaimer: This article is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult with a qualified financial advisor before making investment decisions.
AMEX:SPYEducation
by TradeVizion
The Power of Round Numbers in TradingHello, traders! 👀 Do you know why $10K matters more than $10,137.42? You’ve probably noticed it — even if you’re not watching the chart all day. Whenever Bitcoin approaches $10,000, $20,000, or $100,000, something shifts. Volatility spikes. X (formerly known as Twitter) goes wild. And traders tighten their stops. That’s not a coincidence. It’s the psychology of crypto trading, and few things trigger it more than round numbers in trading. 🎯 Why Round Numbers Act Like Magnets In both traditional and crypto markets, clean figures like $1.00, $100, $10K, $100K aren’t just visual milestones. They’re emotional ones too. And that’s where crypto market psychology kicks in. Why? People, especially traders, think in psychological numbers. Retail traders place limit orders near neat levels like $25,000 or $30,000 (not $24,837.65). Institutions often set stop-losses or triggers around these zones. Media headlines focus on thresholds: “BTC Hits $100K” hits harder than “BTC breaks $99,800.” These collective habits cluster orders and attention around these levels, making them support/resistance zones through pure crowd behavior. That’s crypto psychology at work. 🧠 Support, Resistance, and Psychological Warfare Let’s say BTC approaches $30,000 from below. Here’s what the crypto psychology chart tends to show: retail optimism takes off: “If we break 30K, next stop is 100K BTC!” Smart money takes profit: Short sellers loooove round numbers. Choppy price action: Emotional trading dominates near psychological zones. This makes psychological numbers in trading incredibly sticky. They become decision-making triggers. A move above a considerable number might create FOMO. A rejection just below it might trigger panic selling or trap breakouts. That’s why psychological numbers in day trading (and longer-term moves) aren’t just fluff; they’re real and show up repeatedly. 🔁 Real Examples of Round Number Power in Crypto $10,000: Held BTC back in 2017 and 2019 — until it didn't. Once broken, it opened the floodgates. $20,000: A brutal resistance for years — finally broken in 2020. The price exploded afterward. $30,000: Became major support during the 2021 bull run. Once it collapsed, BTC slid toward $15K. $100,000: The ultimate mental level. Traders still ask: “When will Bitcoin hit 100K?” or even “Did Bitcoin hit 100K yet?” The answer? Yes! But every move toward it creates a wave of interest, and sometimes fear. Some already speculate: “Will Bitcoin crash at 110K?” It’s clear: round levels shape crypto trading psychology, and BTC 100K is more than a price — it’s a narrative. That’s the essence of what psychological numbers are in trading — they’re not technical but emotional. 💬 Final Thought: What’s Your 100K? For some, 100K BTC is a moonshot. For others, it’s a trap waiting to happen. So the next time Bitcoin approaches a clean round number, ask yourself: Is this price important or just a number that feels important? Let us know how psychological numbers in trading shape your strategies 👇
Education
by WhiteBIT
Not Every Candle Needs a Reaction — I Know I’ve GrownThere was a time I thought I needed to react to every move. A clean candle? I’d enter. A minor imbalance? I’d take the risk. A zone that “looked okay”? I’d justify it. Why? Because I was chasing something. Chasing certainty . Chasing profit . Chasing control . But here’s the thing I didn’t understand back then: Not every candle needs a reaction. And not every move is my move. 🧠 Overtrading Wasn’t a Strategy. It Was a Symptom. It was a symptom of fear — fear of missing out (FOMO). It was a symptom of insecurity — not trusting my own process. It was a symptom of impatience — not letting the market come to me. I confused activity with progress. I thought being busy on the charts meant I was becoming better. But most of the time, I was just bleeding my edge. 💡 The Turning Point Growth didn’t happen because I learned a new indicator. It happened the moment I started asking myself: Is this my setup? Or am I just bored, hopeful, or triggered? When you define a clear trading plan, with criteria you believe in, the real test isn’t finding setups...it’s waiting for the right ones. Today, I can watch the market move beautifully without me and feel absolutely nothing. That’s freedom. That’s growth. That’s power. 🧘🏽‍♂️ From Reactive to Intentional Now, I focus on: Waiting for my specific SMC criteria to line up Sticking to my CRT model (PDL/PWH sweep → BOS → FVG) Trusting that missing one trade means nothing if I stay consistent Letting the market come to me I’m no longer in the game to prove something. I’m here to play my edge , manage my risk , and protect my mind. 📌 Final Words Growth in trading isn't loud. It doesn’t scream from a winning streak. It shows up quietly: in the trades you didn’t take. in the silence between setups. in the patience to do nothing until it’s time. So if you’re not constantly in a trade, that’s not weakness that’s wisdom.
Education
by J4mesWick
Why Higher Timeframe Analysis Increases Your WIN-RATE!Many traders focus too heavily on lower timeframes, chasing setups without any real context. But what if the secret to improving your consistency was as simple as zooming out? In this video, we break down why analyzing higher timeframes—and trading in their direction—can significantly increase your win rate across Forex, crypto, stocks, and futures. This isn’t just a theory. It’s a principle used by institutional traders, prop firms, and consistently profitable independent traders. ✅ Here’s what you’ll learn in this deep-dive: The real purpose of higher timeframe analysis and how it acts like a GPS for your trading decisions. How to identify structure, liquidity, and key levels on the daily, 4H, and weekly charts Why trading against the higher timeframe flow often leads to premature stop-outs or fakeouts The power of multi-timeframe alignment: how to sync HTF bias with LTF entries How trading with higher timeframe momentum helps filter noise, reduce overtrading, and increase conviction A walkthrough example showing how to use HTF context to validate a lower timeframe setup Whether you're trading ICT concepts, Fibs, RSI, VWAP, or your own system—this principle applies. Trading in alignment with the higher timeframe doesn’t just increase your odds, it adds structure, patience, and confidence to your process. 📌 Key takeaway: When you understand what the market is doing on the higher timeframe, you stop guessing and start positioning yourself with the move—not against it. 🛠️ Helpful for traders using: Smart money concepts (SMC) ICT-based models (like AMD, OTE, and NDOG) Supply and demand strategies Price action or indicator-based systems PRACTICALLY ANY TYPE OF STRATEGY OR METHODOLOGY So, I hope the video was insightful for you. Let me know if you apply higher timeframe analysis, and how it has helped you. - R2F Trading
Education
by Road_2_Funded
Stock market cycles & liquidity, understand it all in 3 minutesLiquidity is a key factor in market finance. Without it, risky assets in the stock market, equities and cryptocurrencies lose their fuel. Over the cycles, one thing has become clear: the direction of financial markets is strongly correlated with that of global liquidity. But liquidity is not a single indicator: it is organized into three complementary layers. Understanding these layers enables us to better anticipate major trends. Level 1 is global monetary liquidity (M2). Level 2 concerns net liquidity within the financial system, and level 3 encompasses overall macro-liquidity, through activity and credit indicators. Together, these three dimensions form the markets' “bloodstream”. The chart below compares the S&P 500 trend with the global money supply M2 Level 1: Global monetary liquidity (global M2) The first stage of the rocket: global M2. This monetary aggregate measures the sum of the money supply (M2) of the major economies - USA, China, Eurozone - converted into US dollars. It includes sight deposits, savings accounts and certain short-term instruments, representing the gross liquidity immediately available in the global economy. This level of liquidity is directly influenced by monetary (key rates, QE/QT), fiscal and wage policies. The evolution of the US dollar plays a crucial role: a strong dollar mechanically reduces global M2 in USD, while a weak dollar increases it. In this respect, Chinese and American dynamics are often divergent, as they are driven by different credit logics (centralized planning on the Chinese side, rate-based adjustment on the US side). But beyond the absolute level, it is above all the momentum of M2, its first derivative (annual variation), that serves as a compass. An uptrend coupled with positive momentum strongly favours risky assets. Conversely, stagnation or a negative divergence between trend and momentum (as at the end of 2021) anticipates a contraction in valuations. Over this cycle, there is even a correlation coefficient of 0.80 between global M2 and Bitcoin, projected 12 weeks into the future: liquidity leads, markets follow. Level 2: Net liquidity of the financial system The second level is more subtle, but just as decisive: net liquidity within the financial system. This is the effective credit capacity, i.e. the funds actually available to irrigate the real economy after withdrawals, excess reserves and regulatory mechanisms. Unlike M2, this measure does not reflect gross liquidity, but rather the liquidity “actionable” by financial institutions. In the United States, this net liquidity depends, among other things, on FED mechanisms such as the reverse repo program (RRP), which temporarily sucks in or releases liquidity, and on the level of banks' excess reserves. Its evolution is strongly linked to the central bank's restrictive or accommodating monetary policy, QE cycles and QT cycles. The correlation of this net liquidity with the S&P 500 and Bitcoin, although slightly lower than that of global M2, remains significant. It acts as a filter for gross liquidity: even if M2 is high, if credit capacity is blocked by excessively high rates or constrained reserves, the impact on markets can be neutralized. Level 3: Global macro liquidity Finally, the third level: global macro liquidity. It includes barometers of economic conditions that directly influence risk perception and investor appetite: PMI indices (manufacturing and services), credit conditions, employment levels, default rates, etc. It is less monetary, more conjunctural. It is less monetary, more cyclical, but its impact is real, as it shapes the context in which financial liquidity is expressed. It is this level that contextualizes the first two: a rising M2 in a deteriorating economic environment (PMI below 50, falling employment) may have a limited effect. Conversely, signs of economic recovery may reinforce the transmission of liquidity to the markets. In this sense, the timing of the FED's rate cuts becomes a key macro catalyst. As long as US policy remains restrictive, M2 will plateau and net liquidity will remain constrained, even if the ECB or PBoC relax their conditions. Conclusion: Global liquidity cannot be summed up in a single indicator. It's an ecosystem structured on three levels: global gross liquidity (M2), effective credit capacity (ECC) and net liquidity. DISCLAIMER: This content is intended for individuals who are familiar with financial markets and instruments and is for information purposes only. The presented idea (including market commentary, market data and observations) is not a work product of any research department of Swissquote or its affiliates. This material is intended to highlight market action and does not constitute investment, legal or tax advice. If you are a retail investor or lack experience in trading complex financial products, it is advisable to seek professional advice from licensed advisor before making any financial decisions. This content is not intended to manipulate the market or encourage any specific financial behavior. Swissquote makes no representation or warranty as to the quality, completeness, accuracy, comprehensiveness or non-infringement of such content. The views expressed are those of the consultant and are provided for educational purposes only. Any information provided relating to a product or market should not be construed as recommending an investment strategy or transaction. Past performance is not a guarantee of future results. Swissquote and its employees and representatives shall in no event be held liable for any damages or losses arising directly or indirectly from decisions made on the basis of this content. The use of any third-party brands or trademarks is for information only and does not imply endorsement by Swissquote, or that the trademark owner has authorised Swissquote to promote its products or services. Swissquote is the marketing brand for the activities of Swissquote Bank Ltd (Switzerland) regulated by FINMA, Swissquote Capital Markets Limited regulated by CySEC (Cyprus), Swissquote Bank Europe SA (Luxembourg) regulated by the CSSF, Swissquote Ltd (UK) regulated by the FCA, Swissquote Financial Services (Malta) Ltd regulated by the Malta Financial Services Authority, Swissquote MEA Ltd. 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CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. The vast majority of retail client accounts suffer capital losses when trading in CFDs. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Digital Assets are unregulated in most countries and consumer protection rules may not apply. As highly volatile speculative investments, Digital Assets are not suitable for investors without a high-risk tolerance. Make sure you understand each Digital Asset before you trade. Cryptocurrencies are not considered legal tender in some jurisdictions and are subject to regulatory uncertainties. The use of Internet-based systems can involve high risks, including, but not limited to, fraud, cyber-attacks, network and communication failures, as well as identity theft and phishing attacks related to crypto-assets.
CME_MINI:ES1!Education
by Swissquote
Volume Droughts and False Breakouts: Your Summer Trading TrapsThe market’s heating up — but is your breakout about to dry up? Here’s a word about the importance of summer trading success (helped by volume — the main character). ☀️ Welcome to the Liquidity Desert Summer’s getting ready to slap the market with a whole flurry of different setups. Picture this — the beaches are full, your trading desk is half-abandoned, and the only thing more elusive than a decent breakout is your intention to actually read that big fat technical analysis book you bought last year. And yet, here you are — eyes glued to the chart — watching a clean breakout above resistance that’s just begging for you to hit “buy.” Everything looks perfect. Price rips through the level like it’s made of butter. But there’s just one tiny problem: no volume. None. Nada. Niente. Congratulations. You’ve just bought the world’s most attractive false breakout. 🏝️ Summer Markets: Where Good Setups Go to Die Let’s set the scene. It’s June. The big dogs on Wall Street are golfing in the Hamptons and sipping mezcal espresso martinis, interns are running the order flow, and every chart you love is doing just enough to get your hopes up before crushing them like a half-melted snow cone. This isn’t your usual high-volatility playground. Summer markets — especially between June and August — are notorious for thin liquidity . That means fewer participants, smaller volume, and a much higher likelihood of being tricked by price action that looks strong… until it’s not. And it’s not just stocks. Forex, crypto, commodities — even the bond boys — all face the same issue: when fewer people are trading, price becomes more fragile. And fragile price = bad decisions. 🚨 Why False Breakouts Love Quiet Markets False breakouts happen when price appears to break above resistance (or below support), only to reverse sharply — often trapping late traders and triggering stop hunts. But in summer? It’s a whole different beast. Here’s why: No liquidity cushion : In normal markets, you need strong volume to fuel a breakout. Without that, the breakout doesn’t necessarily have the gas to keep going. Market makers get bored : Thin markets mean it’s easier for a few big orders to push prices where they want. Welcome to manipulation season (there, we said what we said!). Algos go wild : With fewer humans around, algorithms dominate. And they love playing games around key levels. 🧊 The Mirage Setup: A Cautionary Tale Let’s say you’re watching GameStop NYSE:GME stock. Resistance at $30. Price hovers there for days, teasing a breakout. Then — boom — a sudden 6% pop above. You buy. Everyone buys. The trading community goes nuts. “This is it bois!” But there’s a problem. Look at the volume: a trickle. Not even half the average daily volume. Ten minutes later, NYSE:GME is back below $30, your stop loss is hit, and you’re left explaining to your cat why you’re emotionally invested in a ticker. Moral of the story? Don’t trust breakouts when no one’s trading. 📉 Volume: Your Summer Lie Detector Volume is more than just a histogram under your chart. It’s your truth serum. Your smoke alarm. Your buddy who tells you to think twice before jumping in that trade. Here’s how to read it right when everyone else is checking out: Confirm the move : If price breaks out, but volume doesn’t spike at least 20–30% above the average — be suspicious. Look for acceleration : Healthy moves gather steam. You want to see volume growing into the breakout, not fizzling. Watch for volume cliffs : A sudden volume drop right after a breakout often signals that the move is running on fumes. Add Volume Profile Indicators : Just to be safe, you can always add Volume Profile Indicators to your chart — they analyze both price and volume and can highlight what your keen eye might miss. Remember what happened last summer? And how we all learned the downside of something called "carry trade"? Those who were short the Japanese yen remember . 🧠 Context Over Candles: Be a Liquidity Detective Let’s say you see a double top pattern — your favorite. Clean lines. Tight price action. Perfect setup. But now zoom out. It’s July 3. Pre-holiday half-day. No volume. And the S&P 500 SP:SPX has moved 0.04% all day. Still want in? Technical analysis doesn’t work in a vacuum. Chart patterns lose their predictive power when the environment they live in is compromised. And thin liquidity is a compromised environment. 🐍 Snakes in the Sand: How Market Makers Bait Traps Market makers (and large players) are like desert snakes — quiet, patient, and very good at making you move when you shouldn’t. Here’s how they bait traders in illiquid markets: Run stops above resistance to trigger breakout buyers. Dump shares immediately after breakout to trap retail. Ride the reversal as trapped longs scramble to exit. They’re so powerful some say they run the game — and can stop it anytime it’s not going their way (remember the GameStop freeze? ) It’s a psychological game — and in the summer, it’s easier to do shenanigans because most players aren’t watching. Don’t be the one jumping at shadows. Be the trader who expects the trap. 🛠️ How to Survive (and Thrive) in the Summer Slump Not all is lost. You can still trade — smartly. Here’s your Summer Survival Toolkit : Wait for volume confirmation on every breakout. Lower your position size . Less liquidity = more slippage risk. Set wider stops , or better yet, sit out the chop. Focus on trending names with relative strength and solid weight (think: tech titans, oil plays, or financials). Use alerts instead of staring at charts . Don’t mistake boredom for opportunity. And most importantly: Know when not to trade . Discipline is a position too. 🔚 Final Word: This Isn’t the Off-Season. It’s the Setup Season. Summer might feel slow, but it’s not dead. Smart traders know that the best trades of Q3 and Q4 often begin in July — as early trendlines form, consolidation patterns develop, and institutional footprints quietly appear in the tape. So use this time wisely. Don’t force trades. Watch volume like a hawk. And never forget: the best breakouts don’t need hype — they bring their own thunder. Stay cool, stay patient, and trade smart. The mirage may be tempting, but the oasis always belongs to the ones who go far enough and don’t give up. Off to you : How are you navigating trading during the summer months? Staying poolside with one eye on the charts or actively seeking out opportunities while folks catch a break? Share your insights in the comments!
SP:SPXEducation
by TradingView
14
Trading Without an Edge Is Like Gambling Without the FunAt least in Vegas, you get free drinks. Let’s cut the fluff. You want to make money trading. But here’s the problem no one wants to admit: Most traders don’t have an edge. And they trade anyway. Which means they’re not traders. They’re just expensive gamblers in denial. 🎰 W elcome to the Casino Called “Charts” In Vegas, the odds are clearly displayed. You know the house has the advantage. But in trading? You convince yourself you are the house. You say things like: -“This setup worked for someone on YouTube.” - “Price is oversold, so it has to bounce.” - “I just have a feeling it’ll go up.” That’s not a strategy. That’s astrology. If you can’t define your edge in one sentence, you don’t have one. And if your edge isn’t tested over at least 100 trades — it’s fantasy. 🧠 What Is an Edge, Anyway? An edge is not a pattern. It’s not always your gut. It’s a repeatable, testable advantage in the market. It could be: - A statistical tendency in price behavior - A setup with positive risk-to-reward over time - A timing structure that aligns with volume or volatility - Even psychological edge (you stay calm when others panic) But here’s the key: An edge is something that works often enough, with controlled risk, and consistent execution. ☠️ What Happens When You Don’t Have One Let’s break it down. Trading without an edge leads to: - Random outcomes that feel emotional - Overtrading because you’re chasing the next “feel good” moment - Misplaced confidence after a few lucky wins - Explosive losses when luck runs out And worst of all? You think you’re improving… But in reality, you’re just getting better at losing slower. 🍹 At Least Vegas Gives You Something Back Here’s the irony: In Vegas, the drinks are free. You get a show. You laugh. You know it’s a gamble. In trading? - You pay for your losses - You pay for your education - You pay for your psychology coach - And nobody even gives you a free mojito. If you're going to lose money without an edge, you might as well enjoy the music. 🎯 So How Do You Actually Get an Edge? 1. Backtest. Find a setup that repeats. Track it. Chart it. Obsess over it. 2. Track your stats. Your win rate, average R, time in trade. Know thyself. 3. Simplify. An edge isn’t 12 indicators. It’s one thing done well. 4. Survive first, thrive later. If you’re not around after 100 trades, your edge won’t matter anyway. 5. Learn from pain, not just profit. Your losers have more to teach than your winners. 🧘 Final Thought – Stop Playing Pretend If you wouldn’t go to a casino and bet $1000 on 25 without knowing the odds… Why are you doing that in the markets? Don’t call it trading if it’s actually coping. Don’t call it strategy if it’s actually guessing.
TRADENATION:XAUUSDEducation
by Mihai_Iacob
11
Time to Demand Accountability from the Swiss National Bank (SNB)For far too long, the Swiss National Bank (SNB) have operated behind closed doors, shaping global financial realities in ways that disproportionately benefit a few and burden many. Their repeated currency interventions, most notably the artificial caps on EUR/CHF and USD/CHF exchange rates, reflect a deeper issue: a system where monetary sovereignty is manipulated to protect domestic interests at the expense of global fairness. The Swiss National Bank (SNB) has used its monetary tools not just to stabilize its domestic economy, but to quietly exercise power over others. Through aggressive currency interventions, low interest rates, and strategic positioning of the Swiss franc as a "safe haven," the SNB has contributed to a financial system where many countries are locked into debt arrangements they can never realistically escape. This didn’t start yesterday. Here’s the history they don’t talk about: 🔹 Post–World War II Era: Switzerland remained neutral during the war and emerged with a strong financial system. It quickly became a key player in the Eurodollar market, which allowed banks (including Swiss ones) to lend US dollars offshore, outside of U.S. regulation. Many developing countries, desperate for post-war reconstruction funds, turned to these offshore lenders — often at terms that later proved unsustainable when the global interest rate environment shifted. 🔹 1970s–1980s Debt Crisis: Swiss banks (along with others in the West) extended massive loans to developing countries — Latin America, Africa, parts of Asia — often encouraged by global institutions like the IMF and World Bank. These loans were typically denominated in Swiss francs or U.S. dollars, making repayment dependent on stable exchange rates. But when the Swiss franc appreciated sharply in the 1980s and 1990s, many of these countries suddenly found their debts unpayable. The result: structural adjustment programs, austerity, privatization, and decades of dependency. 🔹 Eastern Europe, 2000s–2010s: Swiss franc–denominated mortgages were pushed heavily in countries like Poland, Hungary, and Croatia, offering lower interest rates than local currencies. When the franc soared after the 2008 financial crisis and the SNB abandoned its EUR/CHF floor in 2015, borrowers saw their payments skyrocket overnight. Entire generations were trapped in personal debt — because of monetary decisions made in a country they had no vote in. 🔹 Modern Times – SNB as “Safe Haven” Weaponizer: The SNB’s current cap on EUR/CHF (around 0.93) and its suppression of USD/CHF below 0.82 reflect the same pattern: Switzerland manipulating its currency to protect its export sector and keep foreign capital flowing in. Meanwhile, countries that borrowed in francs or depend on euro/franc parity for stability are squeezed. Why This Matters Today These practices aren’t just economic strategies — they are levers of control. Countries that fall into this debt trap often lose control of monetary policy, domestic budgets, and even sovereign decision-making. The SNB, unlike elected governments, answers to almost no one internationally. Yet its decisions affect millions beyond Swiss borders. Let’s not stay silent just because it's Switzerland — a country with a reputation for neutrality and peace. Behind the banking halls and pristine image lies a long pattern of quiet domination through debt.
Education
by Deadly_Snake
An example of a new way to interpret the OBV indicator Hello, traders. If you "follow", you can always get new information quickly. Have a nice day today. ------------------------------------- I think the reason why there are difficulties in using auxiliary indicators and why they say not to use indicators is because they do not properly reflect the price flow. Therefore, I think many people use indicators added to the price part because they reflect the price flow. However, I think auxiliary indicators are not used that much. Among them, indicators related to trading volume are ambiguous to use and interpret. To compensate for this, the OBV indicator has been modified and added. - The ambiguous part in interpreting the OBV indicator is that the price flow is not reflected. Therefore, even if it performs its role well as an auxiliary indicator, it can be difficult to interpret. To compensate for this, the High Line and Low Line of the OBV auxiliary indicator have been made to be displayed in the price section. That is, High Line = OBV High, Low Line = OBV Low - Then, let's interpret the OBV at the current price position. The OBV of the auxiliary indicator is currently located near the OBV EMA. That is, the current OBV is located within the Low Line ~ High Line section. However, if you look at the OBV High and OBV Low indicators displayed in the price section, you can see that it has fallen below the OBV Low indicator. In other words, you can see that the price has fallen below the Low Line of the OBV indicator. You can see that the OBV position of the auxiliary indicator and the OBV position displayed in the price section are different. Therefore, in order to normally interpret the OBV of the auxiliary indicator, the price must have risen above the OBV Low indicator in the price section. If not, you should consider that the interpretation of the OBV of the auxiliary indicator may be incorrect information. In other words, if it fails to rise above the OBV Low indicator, you should interpret it as a high possibility of eventually falling and think about a countermeasure for that. Since time frame charts below the 1D chart show too fast volatility, it is recommended to use it on a 1D chart or larger if possible. - It is not good to analyze a chart with just one indicator. Therefore, you should comprehensively evaluate by adding different indicators or indicators that you understand. The indicators that I use are mainly StochRSI indicator, OBV indicator, and MACD indicator. I use these indicators to create and use M-Signal indicator, StochRSI(20, 50, 80) indicator, and OBV(High, Low) indicator. DOM(60, -60) indicator is an indicator that comprehensively evaluates DMI, OBV, and Momentum indicators to display high and low points. And, there are HA-Low, HA-High indicators, which are my basic trading strategy indicators that I created for trading on Heikin-Ashi charts. Among these indicators, the most important indicators are HA-Low, HA-High indicators. The remaining indicators are auxiliary indicators that are necessary when creating trading strategies or detailed response strategies from HA-Low, HA-High indicators. - Thank you for reading to the end. I hope you have a successful trade. --------------------------------------------------
Education
by readCrypto
5
How to Choose Chart Types in TradingViewThis tutorial covers the 21 chart types available in TradingView, explaining what each one is, how to read it, as well as the advantages and drawbacks. Learn more about trading futures with Optimus Futures using the TradingView platform here: www.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
4
Volume Speaks Louder: My Custom Volume Indicator for Futures My Indicator Philosophy: Think Complex, Model Simple In my first “Modeling 101” class as an undergrad, I learned a mantra that’s stuck with me ever since: “Think complex, but model simple.” In other words, you can imagine all the complexities of a system, but your actual model doesn’t have to be a giant non-convex, nonlinear neural network or LLM—sometimes a straightforward, rule-based approach is all you need. With that principle in mind, and given my passion for trading, I set out to invent an indicator that was both unique and useful. I knew countless indicators already existed, each reflecting its creator’s priorities—but none captured my goal: seeing what traders themselves are thinking in real time . After all, news is one driver of the market, but you can’t control or predict news. What you can observe is how traders react—especially intraday—so I wanted a simple way to gauge that reaction. Why intraday volume ? Most retail traders (myself included) focus on shorter timeframes. When they decide to jump into a trade, they’re thinking within the boundaries of a single trading day. They rarely carry yesterday’s logic into today—everything “resets” overnight. If I wanted to see what intraday traders were thinking, I needed something that also resets daily. Price alone didn’t do it, because price continuously moves and never truly “starts over” each morning. Volume, however, does reset at the close. And volume behaves like buying/selling pressure—except that raw volume numbers are always positive, so they don’t tell you who is winning: buyers or sellers? To turn volume into a “signed” metric, I simply use the candle’s color as a sign function. In Pine Script, that looks like: isGreenBar = close >= open isRedBar = close < open if (not na(priceAtStartHour)) summedVolume += isGreenBar ? volume : -volume This way, green candles add volume and red candles subtract volume, giving me positive values when buying pressure dominates and negative values when selling pressure dominates. By summing those signed volumes throughout the day, I get a single metric—let’s call it SummedVolume—that truly reflects intraday sentiment. Because I focus on futures markets (which have a session close at 18:00 ET), SummedVolume needs to reset exactly at session close. In Pine, that reset is as simple as: if (isStartOfSession()) priceAtStartHour := close summedVolume := 0.0 Once that bar (6 PM ET) appears, everything zeroes out and a fresh count begins. SummedVolume isn’t just descriptive—it generates actionable signals. When SummedVolume rises above a user-defined Long Threshold, that suggests intraday buying pressure is strong enough to consider a long entry. Conversely, when SummedVolume falls below a Short Threshold, that points to below-the-surface selling pressure, flagging a potential short. You can fine-tune those thresholds however you like, but the core idea remains: • Positive SummedVolume ⇒ net buying pressure (bullish) • Negative SummedVolume ⇒ net selling pressure (bearish) Why do I think it works: Retail/intraday traders think in discrete days. They reset their mindset at the close. Volume naturally resets at session close, so by signing volume with candle color, I capture whether intraday participants are predominantly buying or selling—right now. Once again: “Think complex, model simple.” My Daily Volume Delta (DVD) indicator may look deceptively simple, but five years of backtesting have proven its edge. It’s a standalone gauge of intraday sentiment, and it can easily be combined with other signals—moving averages, volatility bands, whatever you like—to amplify your strategy. So if you want a fresh lens on intraday momentum, give SummedVolume a try.
CME_MINI:NQ1!Education
by QuantByBoji
2
Market Crashing? How to Profit from the Dips?Every time the market crashes, do you feel like it's over? What if those red candles are exactly what pros are waiting for? In this post, I’ll show you how fear can become profit. Hello✌ Spend 3 minutes ⏰ reading this educational material. 🎯 Analytical Insight on Ethereum : After a strong recent surge, ETH maintains its bullish momentum, backed by solid trading volume and a well-defined upward structure. A crucial daily support zone—aligned with both a Fibonacci area and a rising trendline—continues to hold firm. My primary target is the psychological $3,000 mark, offering around 14% potential upside if the current momentum persists. 🔍 Now , let's dive into the educational section, 💥 Market Psychology: Why Traders Panic in Crashes When red candles start stacking up, most traders go into “exit” mode. Emotions like fear of losing money, social pressure, and FUD override logic. The average trader sells at the worst possible moment. Why? Because no one taught them that corrections are part of a healthy market. Meanwhile, seasoned players understand that bear markets are not the end — they're prime territory for growth. Fear is not a warning; it's often a signal. 📊 TradingView Tools to Catch Gold in the Red TradingView is more than just a charting platform — it's a full toolkit for reading the market’s emotional state. One of the most effective tools during dips is the Volume Profile . It reveals where big money is stacking up. When prices fall but volume spikes, it often signals accumulation by whales. Another useful resource is the Fear & Greed Index , which, while external, can be embedded in custom TradingView dashboards to gauge sentiment. Then there's RSI on lower timeframes , which helps spot oversold conditions and potential reversals. MACD Divergences also offer golden entry signals when paired with price action. And here’s the real kicker: you can use Pine Script to create custom alerts for all these indicators — so you’re not just reacting to fear, you're stalking opportunity. 🧠 Flip the Script: Discount or Danger? Perspective is everything. If you see dips as danger, your instincts will push you to run. But if you see them as discounts, you’ll start planning your moves. Simple price action tools work wonders here. Look for double bottoms on the 4H, or Pin Bars on strong support zones. But be patient — always wait for confirmation. The real difference between losing and winning traders? One waits. The other guesses. 🛠 Smart Entry Strategies During Bloody Markets Let’s get practical. If the market has dropped 20%, consider using a DCA (Dollar Cost Averaging) strategy. Break your capital into 3–5 parts and enter at different key support levels. Another strong setup is the Breakout-Retest Entry: wait for a key level to break, then re-enter after a pullback. Stop losses? Use the ATR to calculate realistic SL zones — and yes, you can display this dynamically on TradingView. Alerts, backtests, and auto-calculations make your game clean, not lucky. 🧩 Recap & Final Suggestion When fear floods the market, the smart see opportunity. With the right mindset and TradingView tools in hand, you can shift from panic-driven reactions to data-driven decisions. Discipline, proper tools, and a fresh perspective — that's your winning trio during a crash. Open your charts, prep your indicators, and get ready to do what the pros do: profit from fear. always conduct your own research before making investment decisions. That being said, please take note of the disclaimer section at the bottom of each post for further details 📜✅. Give me some energy !! ✨We invest countless hours researching opportunities and crafting valuable ideas. Your support means the world to us! If you have any questions, feel free to drop them in the comment box. Cheers, Mad Whale. 🐋
Education
by MadWhale
10
Gut Feeling Vs. Technical Analysis- How I Take TradesTrading Is Both Art and Science Every trader, no matter how data-driven, eventually encounters moments when they just know something about the market. That quiet internal signal: “Don’t touch this today.” Or: “Get ready. Something’s coming.” That’s not random emotion. That’s your gut feeling – and in trading, it's worth paying attention to. But here's the catch: 👉 Gut feeling alone isn’t enough. 👉 Technical analysis alone isn’t either. The real edge comes when both align. ________________________________________ What Is Gut Feeling in Trading? “Gut feeling” is a term used to describe intuitive decisions that seem to arise without conscious reasoning. In trading, it often presents as a subtle inner nudge – a warning, a hesitation, or a surge of clarity. Contrary to popular belief, it’s not just emotion. It’s often the result of: • Unconscious pattern recognition from years (or decades) of chart-watching • Internalized market behavior that doesn’t show up on an indicator • Emotional awareness, sensing when the environment isn’t right to trade Experienced traders know this isn’t “woo.” It’s pattern memory speaking quietly. ________________________________________ On the Other Hand: What We Call Technical Analysis? We all know the tools: support/resistance, price action, indicators like RSI, MACD, Bollinger Bands, maybe Smart Money Concepts or just clean trendlines, etc. Technical analysis gives us structure — measurable, repeatable setups. But let’s not pretend it captures everything: • News can spike irrationally • Liquidity can vanish when you least expect it • And sometimes, the chart says 'yes' but the market mood says 'don’t trust it' That’s where gut feeling becomes the final filter. ________________________________________ ✅ Why I Wait for Alignment Let’s be honest: most bad trades happen when you force action despite internal hesitation. Here’s how I frame decisions: ✅ Full alignment • Gut: Yes • Technicals: Yes • 👉 Take the trade ⚠️ Gut says no, but technicals agree • Gut: No • Technicals: Yes • 🚫 Wait – something’s off ⚠️ Gut says yes, but technicals are unclear • Gut: Yes • Technicals: No • 👁 Watch only – do not act ❌ No alignment • Gut: No • Technicals: No • ✅ Stay out – smart decision You’re not supposed to be in every trade. You’re supposed to be in the right trades. ________________________________________ 🔍 Real-Life Example: Gold (XAUUSD) Yesterday, Gold surged due to geopolitical escalation and renewed tariff tension. Is looking bullish now: descending trendline broken, above 3350 which acts as confluence support. 📈 The chart said: “Buy.” 🧠 But my gut said: “ No. This is an emotional move. It’s not done correcting .” So I stayed out. Why? Because if I trade while my gut says “no”, I second-guess every tick. Even if the chart is right, I start hoping it fails — just to prove my feeling was right. That’s emotional sabotage. But when gut and chart say the same thing, I don’t hesitate. Even if the trade loses, I’m at peace. I executed from clarity, not conflict. That’s not just technical skill. That’s mental edge. 🧠 How to Develop Trustworthy Intuition If you’re new or inconsistent, your “gut feeling” might just be fear, greed, or FOMO. But over time, real intuition can be trained like a muscle. 1. Screen Time The more markets you watch, the more silent patterns your brain absorbs. Eventually, you’ll “feel” momentum shifts before indicators print them. 2. Journaling Write down what you felt before each trade. Did it align with your plan? Over time, you’ll spot which feelings were intuition and which were impulse. 3. Meditation & Clarity The more you control your emotional noise, the easier it becomes to hear real signals. ________________________________________ ⚠️ Common Pitfalls: When Gut Feeling Betrays You Let’s be clear – not every gut feeling is wise. Here are some red flags: • Revenge trading disguised as confidence • FOMO masked as intuition • Fear of missing out during high volatility sessions • Fatigue or stress, which distort perception 🧠 Tip: A real gut feeling comes with calm clarity, not urgency or adrenaline. ________________________________________ 🎯 Final Thought Gut Feeling + Technical Analysis = Peace of Mind The best trades aren’t just technically correct — they’re internally clean. No doubt. No hesitation. No self-conflict. Wait for alignment. Then execute with full presence. Disclosure: I am part of TradeNation's Influencer program and receive a monthly fee for using their TradingView charts in my analyses and educational articles.
OANDA:XAUUSDEducation
by Mihai_Iacob
25
Is Bitcoin Crashing or Just a Psychological Trap Unfolding?Is this brutal Bitcoin drop really a trend shift—or just another psychological game? Candles tell a story every day, but only a few traders read it right. In this breakdown, we decode the emotional traps behind price action and show you how not to fall for them. Hello✌ Spend 3 minutes ⏰ reading this educational material. 🎯 Analytical Insight on Bitcoin: 📈 Bitcoin is currently respecting a well-structured ascending channel, with price action aligning closely with a key Fibonacci retracement level and a major daily support zone—both acting as strong technical confluence. Given the strength of this setup, a potential short-term move of at least +10% seems likely, while the broader structure remains supportive of an extended bullish scenario toward the $116K target. 🚀 Now , let's dive into the educational section, 🧠 The Power of TradingView: Tools That Spot the Mind Games When it comes to psychological traps in the market, a huge part of them can be spotted by just looking at the candles—with the right tools. TradingView offers several free indicators and features that, when combined wisely, can act like an early warning system against emotional decisions. Let’s walk through a few: Volume Profile (Fixed Range) Use the “Fixed Range Volume Profile” to see where real money is moving. If large red candles appear in low-volume zones, it often signals manipulation, not genuine sell pressure. RSI Custom Alerts Don’t just set RSI alerts at overbought/oversold levels. When RSI crashes but price barely moves, you’re watching fear being injected into the market—without actual sellers stepping in. Divergence Detectors (Free Scripts) Use public scripts to auto-detect bullish divergences. These often pop up right during panic drops and are gold mines of opportunity—if you’re calm enough to see them. These tools are not just technical—they’re psychological weapons . Master them and you’ll read the market like a mind reader. 🔍 The Candle Lies Begin One big red candle does not equal doom. It usually equals setup. Panic is a requirement before reversals. 💣 Collective Fear: The Whales' Favorite Weapon When everyone on social media screams “sell,” guess who’s quietly buying? The whales. Fear is their liquidity provider. 🧩 Liquidity Zones: The Real Target If you can’t see liquidity clusters on your chart, you're blind to half the game. Sudden crashes often aim at stop-loss and liquidation zones. 🔄 Quick Recovery = Fake Breakdown If a strong red move is followed by a sharp V-shaped bounce within 24 hours—it was likely a trap. Quick recovery often means fake fear. ⚔️ Why Most Retail Traders Sell the Bottom The brain reacts late. By the time retail decides it’s time to sell, the big players are already buying. 🧭 Real Decision Tools Over Emotion Combine RSI, divergences, and volume metrics to make your decisions. Your gut is not a strategy—your tools are. 📉 Fake Candles: How to Spot Them A candle with huge body but weak volume? Red flag. Especially on low timeframes. Always confirm with volume. 🔍 Timeframes Trick the Mind M15 always looks scarier than H4. Zoom out. What feels like a meltdown might just be a hiccup on the daily chart. 🎯 Final Answer: Crash or Trap? When you overlay psychology on top of price, traps become obvious. Don't trade the fear—trade the setup behind it. 🧨 Final Note: Summary & Suggestion Most crashes are emotional plays, not structural failures. Use TradingView’s tools to decode the fear and flip it to your advantage. Add emotional analysis to your charting, and the market will start making sense. always conduct your own research before making investment decisions. That being said, please take note of the disclaimer section at the bottom of each post for further details 📜✅. Give me some energy !! ✨We invest countless hours researching opportunities and crafting valuable ideas. Your support means the world to us! If you have any questions, feel free to drop them in the comment box. Cheers, Mad Whale. 🐋
Education
by MadWhale
50
Explanation of indicators indicating high points Hello, traders. If you "Follow", you can always get new information quickly. Have a nice day today. ------------------------------------- (BTCUSDT 1D chart) If it falls below the finger point indicated by the OBV indicator, it can be interpreted that the channel consisting of the High Line ~ Low Line is likely to turn into a downward channel. And, if it falls to the point indicated by the arrow, it is expected that the channel consisting of the High Line ~ Low Line will turn into a downward channel. Therefore, if it is maintained above the point indicated by the finger, I think it is likely to show a movement to rise above the High Line. In this situation, the price is located near the M-Signal indicator on the 1D chart, so its importance increases. To say that it has turned into a short-term uptrend, the price must be maintained above the M-Signal indicator on the 1D chart. In that sense, the 106133.74 point is an important support and resistance point. (1W chart) The HA-High indicator is showing signs of being created at the 99705.62 point. The fact that the HA-High indicator has been created means that it has fallen from the high point range. However, since the HA-High indicator receives the value of the Heikin-Ashi chart, it indicates the middle point. In other words, the value of Heikin-Ashi's Close = (Open + High + Low + Close) / 4 is received. Since the HA-High indicator has not been created yet, we will be able to know for sure whether it has been created next week. In any case, it seems to be about to be created, and if it maintains the downward candle, the HA-High indicator will eventually be created anew. Therefore, I think it is important to be able to maintain the price by rising above the right Fibonacci ratio 2 (106178.85). Indicators that indicate high points include DOM (60), StochRSI 80, OBV High, and HA-High indicators. Indicators that indicate these high points are likely to eventually play the role of resistance points. Therefore, 1st high point range: 104463.99-104984.57 2nd high point range: 99705.62-100732.01 You should consider a response plan depending on whether there is support near the 1st and 2nd above. The basic trading strategy is to buy at the HA-Low indicator and sell at the HA-High indicator. However, if it is supported and rises in the HA-High indicator, it is likely to show a stepwise rise, and if it is resisted and falls in the HA-Low indicator, it is likely to show a stepwise decline. Therefore, the basic trading method should utilize the split trading method. Other indicators besides the HA-Low and HA-High indicators are auxiliary indicators. Therefore, the trading strategy in the big picture should be created around the HA-Low and HA-High indicators, and the detailed response strategy can be carried out by referring to other indicators according to the price movement. In that sense, if we interpret the current chart, it should be interpreted that it is likely to show a stepwise rise since it has risen above the HA-High indicator. However, you can choose whether to respond depending on whether there is support from other indicators that indicate the high point. On the other hand, indicators that indicate the low point include the DOM (-60), StochRSI 20, OBV Low, and HA-Low indicators. These indicators pointing to lows are likely to eventually serve as support points. I will explain this again when the point pointing to the lows has fallen. - Thank you for reading to the end. I hope you have a successful trade. -------------------------------------------------- - ​​Here is an explanation of the big picture. (3-year bull market, 1-year bear market pattern) I will explain the details again when the bear market starts. ------------------------------------------------------
Education
by readCrypto
Weather and Corn: A Deep Dive into Temperature Impact1. Introduction: Corn and Climate – An Inseparable Relationship For traders navigating the corn futures market, weather isn't just a background noise—it's a market mover. Few agricultural commodities are as sensitive to environmental variables as corn, especially temperature. Corn is grown across vast regions, and its development is directly tied to how hot or cold the season plays out. This makes weather not just a topic of interest but a core input in any corn trader’s playbook. In this article, we go beyond conventional wisdom. Instead of simply assuming “hotter equals bullish,” we bring data into the equation—weather data normalized by percentile, matched with price returns on CME Group's corn futures. The results? Useful for anyone trading ZC or MZC contracts. 2. How Temperature Affects Corn Physiology and Yields At the biological level, corn thrives best in temperatures between 77°F (25°C) and 91°F (33°C) during its growth stages. During pollination—a critical yield-defining window—extreme heat (especially above 95°F / 35°C) can cause irreversible damage. When hot weather coincides with drought, the impact on yields can be catastrophic. Historical drought years like 2012 and 1988 serve as powerful examples. In 2012, persistent heat and dryness across the US Midwest led to a national yield drop of over 25%, sending futures skyrocketing. But heat doesn't always spell disaster. Timing matters. A heat wave in early June may have little impact. That same wave during tasseling in July? Major consequences. 3. The Market Mechanism: How Traders Respond to Temperature Surprises Markets are forward-looking. Futures prices don’t just reflect today’s weather—they reflect expectations. A dry June may already be priced in by the time USDA issues its report. This dynamic creates an interesting challenge for traders: separating noise from signal. During July and August—the critical reproductive phase—temperature updates from NOAA and private forecasters often trigger major moves. Rumors of an incoming heat dome? Corn futures might gap up overnight. But if it fizzles out, retracements can be just as dramatic. Traders who rely on headlines without considering what’s already priced in are often late to the move. 4. Our Analysis: What the Data Reveals About Corn and Temperature To cut through the fog, we performed a percentile-based analysis using decades of weather and price data. Rather than looking at raw temperatures, we classified each week into temperature “categories”: Low Temperature Weeks: Bottom 25% of the historical distribution Normal Temperature Weeks: Middle 50% High Temperature Weeks: Top 25% We then analyzed weekly percentage returns for the corn futures contract (ZC) in each category. The outcome? On average, high-temperature weeks showed higher volatility—but not always higher returns. In fact, the data revealed that some extreme heat periods were already fully priced in, limiting upside. 5. Statistically Significant or Not? T-Tests and Interpretation To test whether the temperature categories had statistically significant impacts on weekly returns, we ran a t-test comparing the “Low” vs. “High” temperature groups. The result: highly significant. Corn returns during high-temperature weeks were, on average, notably different than those during cooler weeks, with a p-value far below 0.01 (4.10854357245787E-13). This tells us that traders can't ignore temperature anomalies. Extreme heat does more than influence the narrative—it materially shifts price behavior. That said, the direction of this shift isn't always bullish. Sometimes, high heat correlates with selling, especially if it’s viewed as destructive beyond repair. 6. Strategic Takeaways for Corn Traders Traders can use this information in several ways: Anticipatory Positioning: Use temperature forecasts to adjust exposure ahead of key USDA reports. Risk Management: Understand that volatility spikes in extreme temperature conditions and plan stops accordingly. Calendar Sensitivity: Prioritize weather signals more heavily in July than in May, when crops are less vulnerable. Combining weather percentile models with weekly return expectations can elevate a trader’s edge beyond gut feel. 7. CME Group Corn Futures and Micro Corn Contracts Corn traders have options when it comes to accessing this market. The flagship ZC futures contract from CME Group represents 5,000 bushels of corn and is widely used by commercial hedgers and speculators alike. For those seeking more precision or lower capital requirements, the recently launched Micro Corn Futures (MZC) represent just 1/10th the size. This fractional sizing makes temperature-driven strategies more accessible to retail traders, allowing them to deploy seasonal or event-based trades without excessive risk exposure. Here are some quick key points to remember: Tick size for ZC is ¼ cent (0.0025) per bushel, equating to $12.50 per tick. For MZC, each tick is 0.0050 equating to $2.50 per tick. Standard ZC initial margin is approximately $1,000 and MZC margins are around $100 per contract, though this can vary by broker. 8. Wrapping Up: Temperature's Role in a Complex Equation While temperature is a key driver in corn futures, it doesn't act in isolation. Precipitation, global demand, currency fluctuations, and government policies also play crucial roles. However, by quantifying the impact of extreme temperatures, traders gain a potential edge in anticipating market behavior. Future articles will expand this framework to include precipitation, international weather events, and multi-variable models. This article is part of a broader series exploring how weather impacts the corn, wheat, and soybean futures markets. Stay tuned for the next release, which builds directly on these insights. When charting futures, the data provided could be delayed. Traders working with the ticker symbols discussed in this idea may prefer to use CME Group real-time data plan on TradingView: www.tradingview.com - This consideration is particularly important for shorter-term traders, whereas it may be less critical for those focused on longer-term trading strategies. General Disclaimer: The trade ideas presented herein are solely for illustrative purposes forming a part of a case study intended to demonstrate key principles in risk management within the context of the specific market scenarios discussed. These ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. The information provided is based on data believed to be reliable; however, its accuracy or completeness cannot be guaranteed. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
CBOT:ZC1!Education
by traddictiv
Understanding VWAP In TradingWhat is VWAP? VWAP is a price benchmark that gives more importance to prices where higher trading volume occurs. Unlike simple moving averages, which treat each price point equally, VWAP provides a volume-weighted perspective, making it more representative of market activity. Traders use VWAP to gauge market trends, confirm trade entries and exits, and measure the quality of executions relative to the market's liquidity. How Institutional Traders Use VWAP Large financial institutions and mutual funds execute large orders over time to minimize their market impact. VWAP helps them: Achieve better execution by ensuring their orders are filled at a price close to the session's average. Reduce market impact by avoiding aggressive buying or selling at extreme price points. Gauge liquidity and time their orders efficiently. Role of VWAP in Algorithmic Trading VWAP is integral to algorithmic trading strategies that automate order execution. Algorithms use VWAP in: VWAP Trading Strategies: Algorithms execute orders in line with VWAP to avoid moving the market. Mean Reversion Trading: Traders look for deviations from VWAP, buying when the price is below and selling when it is above. Liquidity-Based Order Execution: Algorithms track VWAP to execute trades more efficiently, particularly in high-frequency trading (HFT). Why VWAP is a Critical Benchmark for Intraday Traders For short-term traders, VWAP provides key insights into market behavior: Trend Confirmation: If the price is above VWAP, it indicates bullish sentiment; below VWAP suggests bearish conditions. Entry and Exit Points: Traders use VWAP as support/resistance for trade decisions. Institutional Footprint: Retail traders track VWAP to understand where large orders might be executing. Since VWAP resets daily, it remains a highly relevant indicator for gauging intraday momentum and trend strength. Calculation Where: Price = (High + Low + Close) / 3 (Typical Price for each period) Volume = The total number of shares/contracts traded in the period Understanding How VWAP is Calculated: Calculate the Typical Price (TP): TP=High+Low+Close/3 Multiply TP by Volume for each time period to get the Cumulative Price-Volume product. Sum the Price-Volume values cumulatively throughout the day. Divide by the cumulative volume up to that time. Since VWAP is cumulative from the market open, it resets at the start of each trading day. Difference Between VWAP and Moving Averages VWAP Volume-weighted Resets daily Determines fair value in a session Reacts to volume spikes Moving Averages (SMA/EMA) Equal-weighted (SMA) or Exponentially weighted (EMA) Continuous across multiple sessions Identifies overall trend direction Reacts to price changes How to Interpret VWAP When the price is above VWAP: It suggests that the market is in an uptrend, and VWAP may act as support if the price retraces. When the price is below VWAP: It signals a downtrend, and VWAP may act as resistance if the price attempts to rise. Reclaiming VWAP: If the price moves below VWAP but then breaks back above it, this could signal a bullish reversal. The opposite is true for a bearish scenario. VWAP and Market Trend Identification Uptrend: If the price remains consistently above VWAP and VWAP itself is sloping upward, the market is in an uptrend. Downtrend: If the price stays below VWAP and VWAP is sloping downward, the market is in a downtrend. Sideways Market: If the price oscillates around VWAP and VWAP remains flat, the market is range-bound. VWAP Standard Deviations (Bands) and Their Significance First Standard Deviation (VWAP ±1σ) Represents a normal fluctuation around VWAP. Prices bouncing within this range indicate balanced market activity. Second Standard Deviation (VWAP ±2σ) Suggests stronger price movement. A move beyond this level may indicate an overbought (above VWAP) or oversold (below VWAP) condition. Third Standard Deviation (VWAP ±3σ) Extreme price movement; rarely sustained. A reversion back toward VWAP is highly likely. Misinterpreting VWAP Signals Many traders assume that VWAP alone dictates market direction. However, simply being above or below VWAP does not automatically mean the market is bullish or bearish. Market structure, momentum, and external factors such as news events or institutional order flows must also be considered. How to Avoid It? Look for Confirmation: Use VWAP in combination with price action and other indicators, such as volume, market structure, and momentum oscillators (e.g., RSI or MACD). Check the Trend of VWAP: If VWAP is sloping upward and price is above it, this signals strength. Conversely, a downward-sloping VWAP with price below it indicates weakness. Observe Price Interaction with VWAP: If the price consistently bounces off VWAP and continues in the trend direction, it confirms its role as dynamic support or resistance. If the price frequently crosses VWAP back and forth without clear direction, it signals a choppy, range-bound market. Strategies VWAP Bounce If the price pulls back to VWAP and holds, traders may look for a long entry (in an uptrend) or a short entry (in a downtrend). Stop-loss orders are often placed slightly beyond VWAP in case of a trend reversal. VWAP Breakout If the price consolidates near VWAP and then breaks out strongly, traders may enter in the direction of the breakout. A sustained break above VWAP signals strength, while a break below VWAP signals weakness. VWAP as a Reversion Point Traders monitor price deviations from VWAP. If the price moves too far from VWAP, a reversion trade back toward VWAP may be expected. Key Takeaways VWAP Represents Fair Value – It calculates the average price of a security, weighted by volume, giving traders insight into where most of the trading activity has occurred. Intraday Benchmark – VWAP resets daily and is primarily used by intraday traders and institutions to assess whether prices are trading at a premium or discount. Support and Resistance Tool – VWAP often acts as dynamic support in uptrends and resistance in downtrends, helping traders make entry and exit decisions. Institutional Trading Guide – Large institutions use VWAP to execute orders efficiently, minimizing market impact and ensuring better fills. VWAP vs. Moving Averages – Unlike moving averages, which continue across multiple sessions, VWAP is cumulative from the market open and resets each day. Trend Confirmation – Price above a rising VWAP signals a strong uptrend, while price below a declining VWAP suggests a downtrend. Avoid Over-Reliance – While useful, VWAP should be combined with volume analysis, price action, and other indicators to avoid false signals. VWAP Bands for Overbought/Oversold Levels – Standard deviation bands around VWAP can help identify price extremes and potential mean reversion setups. VWAP is more than just an average—it's the heartbeat of market sentiment, revealing where true liquidity and fair value align. Stay sharp, stay ahead, and let’s make those moves. Until next time, happy trading!
CME_MINI:ES1!Education
by CandelaCharts
4
Correlation between USDT.D and BTC.D Hello, traders. If you "Follow", you can always get new information quickly. Have a nice day today. ------------------------------------- (USDT.D 1M chart) If USDT dominance is maintained below 4.97 or continues to decline, the coin market is likely to be on the rise. The maximum decline is expected to be around 2.84-3.42. - (BTC.D 1M chart) However, in order for the altcoin bull market to begin, BTC dominance is expected to fall below 55.01 and remain there or show a downward trend. Therefore, we need to see if it falls below the 55.01-62.47 range. The maximum rise range is expected to be around 73.63-77.07. - In summary of the above, since funds are currently concentrated in BTC, it is likely that BTC will show an upward trend, and altcoins are likely to show a sideways or downward trend as they fail to follow the rise of BTC. The major bear market in the coin market is expected to begin in 2026. For the basis, please refer to the explanation of the big picture below. - Thank you for reading to the end. I hope you have a successful transaction. -------------------------------------------------- - ​​This is an explanation of the big picture. (3-year bull market, 1-year bear market pattern) I will explain more details when the bear market starts. ------------------------------------------------------
CRYPTOCAP:USDT.DEducation
by readCrypto
Strategy & Education: Trading with Fibonacci and Order Blocks🔍 Trading Strategy Based on Fibonacci Levels and Order Blocks This chart showcases three consecutive sell trades I executed on the BTCUSDT pair, each resulting in a profitable outcome. The purpose of this explanation is to demonstrate how Fibonacci retracement levels can be combined with Order Block zones to identify high-probability trade setups. 🧩 The Foundation: Understanding Price Retracement Behavior The ABC, abc, and (a)(b)(c) structures marked on the chart are not Elliott Waves. Instead, these labels are used to represent simple retracement movements in the market. The focus here is not wave theory, but recognizing how price reacts and pulls back after a move, and how we can benefit from these reactions. 📌 Trade 1: Primary Fibo-OB Confluence I drew a Fibonacci retracement from the A wave to the B wave. The price then retraced to the C area, landing between the 0.618 and 0.786 Fibonacci levels, where an Order Block (OB) was also present. This overlap created a strong technical and structural resistance zone. I entered the first sell trade from this confluence. 📌 Trade 2: Internal Retracement and OB Alignment Inside the first corrective move, a smaller abc pattern formed. I applied Fibonacci again from small a to small b. The c leg reached the same key Fibonacci zone (0.618–0.786) and overlapped with a second OB. This confluence offered a second sell entry. 📌 Trade 3: Micro Structure – Same Logic Reapplied I repeated the exact same logic one more time on a micro (a)(b)(c) structure. Fibonacci from (a) to (b), price touched 0.618–0.786, coinciding again with an OB. This became the third and final sell position. 🧠 The Logic Behind the Strategy: Price doesn’t move in straight lines—it flows in waves. During pullbacks, if Fibonacci levels align with Order Block zones, the market tends to react strongly. My focus here was to identify these areas of confluence in advance and enter trades at high-probability turning points.
Education
by Nurlan_PT
1