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Fundamental Analysis

How to Use Fibonacci Extension for Effective Profit How to Use Fibonacci Extension for Effective Profit-Taking in Forex. Fibonacci Extension is a powerful tool for identifying profit-taking levels in Forex, including XAU/USD trading. Here’s a concise, SEO-optimized guide to maximize your gains: 1. Understand Fibonacci Extension Levels The 127.2%, 161.8%, and 261.8% extension levels predict price targets after a breakout, making them ideal for setting profit goals. 2. Identify Key Price Swings Select swing low (e.g., 3.300 USD), swing high (e.g., 3.344.70 USD), and retracement low (e.g., 3.312.570 USD) on the chart. 3. Apply Fibonacci Extension Draw from swing low to high, then extend from the retracement low. For example, 161.8% may project to approximately 3.360 USD. 4. Set Profit-Taking Targets Conservative: Target 127.2% (e.g., 3.350 USD). Aggressive: Aim for 161.8% (e.g., 3.360 USD), aligning with resistance levels. 5. Manage Risk Place a stop-loss below the retracement low (e.g., 3.300 USD) and aim for a 1:2 risk-reward ratio. 6. Pro Tips Combine with resistance, RSI, or volume; exit early if momentum fades. Update levels with new swings. Leverage this strategy to optimize profits in volatile Forex markets like XAU/USD!

Education

by Henrybillion

Heatwaves and Wheat: How Temperature Shocks Hit Prices 🌾 Section 1: The Wheat–Weather Connection—Or Is It? If there’s one crop whose success is often tied to the weather forecast, it’s wheat. Or so we thought. For decades, traders and analysts have sounded the alarm at the mere mention of a heatwave in key wheat-producing regions. The logic? Excessive heat during the growing season can impair wheat yields by disrupting pollination, shortening the grain-filling period, or damaging kernel development. A tightening supply should lead to price increases. Simple enough, right? But here’s where the story takes an unexpected turn. What happens when we actually analyze the data? Does heat reliably lead to price spikes in the wheat futures market? The short answer: not exactly. In fact, our statistical tests show that temperature may not have the consistent, directional impact on wheat prices that many traders believe it does. And that insight could change how you think about risk, seasonality, and the role of micro contracts in your wheat trading strategy. 📈 Section 2: The Economics of Wheat—And Its Role in the Futures Market Wheat isn’t just a breakfast staple—it’s the most widely grown crop in the world. It’s cultivated across North America, Europe, Russia, Ukraine, China, and India, making it a truly global commodity. Because wheat is produced and consumed everywhere, its futures markets reflect a wide array of influences: weather, geopolitics, global demand, and speculative positioning. The Chicago Board of Trade (CBOT), operated by CME Group, is the main venue for wheat futures trading. It offers two primary wheat contracts: Standard Wheat Futures (ZW) Contract Size: 5,000 bushels Tick Size: 1/4 cent per bushel (0.0025) has a $12.50 per tick impact Margin Requirement: Approx. $1,700 (subject to change) Micro Wheat Futures (MZW) Contract Size: 500 bushels (1/10th the size of the standard contract) Tick Size: 0.0050 per bushel has a $2.50 per tick impact Margin Requirement: Approx. $170 (subject to change) These micro contracts have transformed access to grain futures markets. Retail traders and smaller funds can now gain precise exposure to weather-driven moves in wheat without the capital intensity of the full-size contract. 🌡️ Section 3: Weather Normalization—A Smarter Way to Measure Impact When analyzing weather, using raw temperature values doesn’t paint the full picture. What’s hot in Canada might be normal in India. To fix this, we calculated temperature percentiles per location over 40+ years of historical weather data. This gave us three weekly categories: Below 25th Percentile (Low Temp Weeks) 25th to 75th Percentile (Normal Temp Weeks) Above 75th Percentile (High Temp Weeks) Using this approach, we grouped thousands of weeks of wheat futures data and examined how price returns behaved under each condition. This way, we could compare a “hot” week in Ukraine to a “hot” week in the U.S. Midwest—apples to apples. 🔄 Section 4: Data-Driven Temperature Categories and Wheat Returns To move beyond anecdotes and headlines, we then calculated weekly percent returns for wheat futures (ZW) for each of the three percentile-based categories. What we found was surprising. Despite common assumptions that hotter weeks push wheat prices higher, the average returns didn’t significantly increase during high-temperature periods. However, something else did: volatility. In high-temp weeks, prices swung more violently — up or down — creating wider return distributions. But the direction of these moves lacked consistency. Some heatwaves saw spikes, others fizzled. This insight matters. It means that extreme heat amplifies risk, even if it doesn't create a reliable directional bias. Traders should prepare for greater uncertainty during hot weeks — an environment where tools like micro wheat futures (MZW) are especially useful. These contracts let traders scale exposure and control risk in turbulent market conditions tied to unpredictable weather. 🔬 Section 5: Statistical Shock—The t-Test Revelation To confirm our findings, we ran two-sample t-tests comparing the returns during low vs. high temperature weeks. The goal? To test if the means of the two groups were statistically different. P-Value (Temp Impact on Wheat Returns): 0.354 (Not Significant) Conclusion: We cannot reject the hypothesis that average returns during low and high temp weeks are the same. This result is counterintuitive. It flies in the face of narratives we often hear during weather extremes. However, our volatility analysis (using boxplots) showed that variance in returns increases significantly during hotter weeks, making them less predictable and more dangerous for leveraged traders. 🧠 Section 6: What Traders Can Learn from This This analysis highlights a few key lessons: Narratives aren’t always backed by data. High heat doesn’t always mean high prices. Volatility increases during weather stress. That’s tradable, but not in the way many assume. Risk-adjusted exposure matters. Micro wheat futures (MZW) are ideal for navigating weather-driven uncertainty. Multi-factor analysis is essential. Weather alone doesn’t explain price behavior. Global supply chains, speculative flows, and other crops’ performance all play a role. This article is part of a growing series where we explore the relationship between weather and agricultural futures. From corn to soybeans to wheat, each crop tells a different story. Watch for the next release—we’ll be digging deeper into more effects and strategies traders can use to capitalize on weather. 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.

Education

Stop Hunting for Perfection - Start Managing Risk.Stop Hunting for Perfection — Start Managing Risk. Hard truth: Your obsession with perfect setups costs you money. Markets don't reward perfectionists; they reward effective risk managers. Here's why your perfect entry is killing your results: You ignore good trades waiting for ideal setups — they rarely come. You double-down on losing trades, convinced your entry was flawless. You're blindsided by normal market moves because you didn’t plan for imperfection. 🎯 Solution? Shift your focus from entry perfection to risk management. Define your maximum acceptable loss, stick to it, and scale into trades strategically. TrendGo wasn't built to promise perfect entries. It was built to clarify probabilities and structure risk. 🔍 Stop chasing unicorns. Focus on managing the horses you actually ride.

Education

by TrendGo_Official

The SECRET is Compounding Tiny Objectives & Finding Satisfaction In 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

Education

19:55

by Road_2_Funded

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.

Education

Warren Buffett's Approach to Long-Term Wealth Building Understanding 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.

Education

Stock market cycles & liquidity, understand it all in 3 minutes Liquidity 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. (UAE) regulated by the Dubai Financial Services Authority, Swissquote Pte Ltd (Singapore) regulated by the Monetary Authority of Singapore, Swissquote Asia Limited (Hong Kong) licensed by the Hong Kong Securities and Futures Commission (SFC) and Swissquote South Africa (Pty) Ltd supervised by the FSCA. Products and services of Swissquote are only intended for those permitted to receive them under local law. All investments carry a degree of risk. The risk of loss in trading or holding financial instruments can be substantial. The value of financial instruments, including but not limited to stocks, bonds, cryptocurrencies, and other assets, can fluctuate both upwards and downwards. There is a significant risk of financial loss when buying, selling, holding, staking, or investing in these instruments. SQBE makes no recommendations regarding any specific investment, transaction, or the use of any particular investment strategy. 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.

Education

Volume Droughts and False Breakouts: Your Summer Trading Traps The 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!

Education

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

Weather and Corn: A Deep Dive into Temperature Impact 1. 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.

Education

What is Bitcoin Dominance, and When Can We Expect Altseason?What is Bitcoin Dominance, and When Can We Expect Altseason? ✅ In the fast-paced and ever-changing world of digital currencies, traders and investors are continually seeking signs and tools to aid them in making informed decisions. One key sign is Bitcoin Dominance (BTC.D). Understanding this and examining its chart can provide us with important clues about what the market might do next, especially regarding when Altseason (the period of growth for altcoins) might begin. CRYPTOCAP:BTC.D What is Bitcoin Dominance (BTC.D)? Simply put, Bitcoin Dominance indicates the percentage of the total value of all digital currencies that is held by Bitcoin. For example, if the total value of all digital currencies is $1 trillion and Bitcoin's value is $600 billion, then Bitcoin's Dominance is 60%. This number is very important because: It shows market feeling: When Bitcoin Dominance goes up, it usually means money is moving to Bitcoin as a safer option, and people are less willing to take risks. When Bitcoin Dominance goes down, it can mean people are more confident in altcoins and are ready to take more risks for bigger profits. It shows money flow: Changes in BTC.D show how money is moving between Bitcoin and altcoins. ❓ What is Altseason? Altseason is a time in the digital currency market when altcoins (digital currencies other than Bitcoin) do much better than Bitcoin, and their prices go up a lot. During Altseason, money often flows from Bitcoin to altcoins, and many altcoins can see their prices increase many times over. Looking at the Current Bitcoin Dominance Chart and forecasting Altseason If we look at the provided chart for Bitcoin Dominance (BTC.D), we can see a few key things: Long-term upward channel: The chart shows that Bitcoin Dominance has been in a long-term upward path. The bottom of this path is marked by a blue support line , and the top is marked by a red resistance line . This means that, in the bigger picture, Bitcoin's control over the market has been growing. Broken short-term upward trend: There was a shorter-term upward trend line (shown in black on the image) that the price broke below on May 9th . This break could be an early warning sign that Bitcoin's dominance might be weakening in the short term, and its dominance might start to fall. ⚠️ But here is a very important point: We cannot be sure that Altseason has definitely started until the price clearly breaks below the main support line of the channel (the blue line) and stays below it. The break of the short-term upward trend line (black line) is an early signal. However, to confirm a change in the trend and the possible start of a significant Altseason, we need to see stronger support levels, like the blue support line on the chart, get broken. ⏳ So, When Should We Expect Altseason? Based on the chart analysis and the points mentioned: Early Sign: The break of the short-term upward trend line (black) on May 9th might make people pay more attention to altcoins, but it's not enough on its own. Key Condition for Altseason: The most important signal for the start of a real Altseason would be if the Bitcoin Dominance price breaks below the blue support line of the long-term upward channel. As long as Bitcoin Dominance stays above this support line, Bitcoin will likely keep its relative strength in the market, and altcoins might only see limited growth or could even face selling pressure. Conclusion: Analyzing Bitcoin Dominance is a useful tool for understanding how the digital currency market works and for predicting possible trends. Right now, because the short-term trend line has been broken, the market is at a sensitive point. However, traders and investors should watch the BTC.D price movements very carefully and wait for stronger confirmations, especially a possible break of the blue support line, before announcing the start of Altseason.

Education

by Navid_Jafarian

The Biggest Turning Point Isn’t in the Market — It’s in You Hard truth: No new strategy, indicator, or tool will work until you change how you operate. Here’s why: Strategy hopping is fear wearing a costume. If you keep switching tools after every loss, you’re not refining — you’re running. You don’t need more — you need fewer, better decisions. Simplifying your process is harder than adding new ideas. But that’s where edge lives. Belief is the multiplier. Without conviction, you’ll quit before any system has time to work. 🚀 The shift? For us, it was trusting what we built — TrendGo. When we finally stopped tweaking and started trusting the system, everything changed: our mindset, our consistency, our results. The best tool is worthless if you don’t believe in your process. 🧠 Start there.

Education

by TrendGo_Official

Fair Value Gap (FVG) in Crypto: The Complete Guide 🔸Introduction: In financial markets in general—and the crypto market in particular—understanding market liquidity and imbalance zones is essential for building successful trading strategies. One of the most prominent modern price analysis concepts, especially within the Smart Money Concepts (SMC) framework, is the Fair Value Gap (FVG). This refers to a price imbalance between buyers and sellers. 🔸What is the Fair Value Gap (FVG)? A Fair Value Gap is an area on the price chart that shows an imbalance between supply and demand. It occurs when the price moves rapidly in one direction without being fairly traded within a balanced price range. This usually happens due to the entry of large players or “smart money,” creating a gap between three consecutive candlesticks on the chart. Classic Bullish FVG Setup: Candle 1: A bearish or neutral candle. Candle 2: A strong bullish candle (usually large). Candle 3: A bullish or neutral candle. 🔸Where is the Gap? The gap lies between the high of candle 1 and the low of candle 3. If candle 3 does not touch the high of candle 1, an unfilled price gap (FVG) is present. 🔸How is FVG Used in Market Analysis? Traders use Fair Value Gaps as potential areas for: Entering trades when the price returns to retest the gap. Identifying zones of institutional interest. Setting potential targets for price movement. 🔸Common Scenario: If a strong bullish candle creates a Fair Value Gap, the price often returns later to retest that gap before continuing its upward movement. The gap can be considered "delayed demand" or "delayed supply". 🔸🔸Types of FVG:🔸🔸 🔸Bullish FVG: Indicates strong buying pressure. The price is expected to return to the gap, then bounce upwards. 🔸Bearish FVG: Indicates strong selling pressure. The price is expected to return to the gap, then continue downward. 🔸Relationship Between FVG and Liquidity: Fair Value Gaps are often linked to untapped liquidity zones, where buy or sell orders have not yet been fulfilled. When the price returns to these areas: Institutional orders are activated. The price is pushed again in the primary direction. 🔸How to Trade Using FVG (Simple Entry Plan): Steps: Identify the overall trend (bullish or bearish). Observe the formation of an FVG in the same direction. Wait for the price to return and test the gap. Look for entry confirmation (like a reversal candle or a supporting indicator). Set your stop loss below or above the gap. Take profit at a previous structure level or the next FVG. 🔸🔸Real-World Examples (Simplified):🔸🔸 🔸Bullish Example: A strong bullish candle appears on BTC/USD. A gap forms between $74K and $80K. The price rises to $108K, then returns to 74K$ (inside the gap). From there, it begins to rise again. 🔸Important Tips When Using FVG: Don’t rely on FVGs alone—combine them with: -Market Structure. -Support and resistance zones. -Confirmation indicators like RSI or Volume Profile. -Best used on higher timeframes (15m, 1H, 4H, Daily). -The gap can be filled the same day or after days/weeks. 🔸Conclusion The Fair Value Gap is a powerful analytical tool used to identify zones of institutional interest. It plays a key role in the toolset of professional traders who follow smart money principles. By mastering this concept, traders can improve entry and exit timing, reduce risk, and increase their chances of success. Best regards Ceciliones🎯

Education

OPEC Countdown: Inverted H&S Signals Potential Oil Price Rise 🧭 Market Context – OPEC in Focus As Crude Oil Futures (CL) grind in tight consolidation, the calendar reminds traders that the next OPEC meeting takes place on May 28, 2025. This is no ordinary headline event — OPEC decisions directly influence global oil supply. From quota adjustments to production cuts, their moves can rapidly shift price dynamics across energy markets. Every tick in crude oil reflects not just current flows but also positioning ahead of such announcements. OPEC — the Organization of the Petroleum Exporting Countries — coordinates oil policy among major producers. Its impact reverberates through futures markets like CL and MCL (Micro Crude), where both institutional and retail traders align positions weeks in advance. This time, technicals are speaking loud and clear. A compelling bottoming structure is taking shape. The Daily timeframe reveals an Inverted Head and Shoulders pattern coinciding with a bullish flag, compressing into a potential breakout zone. If momentum confirms, CL could burst into a trend move — just as OPEC makes its call. 📊 Technical Focus – Inverted H&S + Flag Pattern Price action on the CL daily chart outlines a classic Inverted Head and Shoulders — a reversal structure that traders often monitor for high-conviction setups. The neckline sits at 64.19, and price is currently coiled just below it, forming a bullish flag that overlaps with the pattern’s right shoulder. What makes this setup powerful is its precision. Not only does the flag compress volatility, but the symmetry of the shoulders, the clean neckline, and the breakout potential align with high-quality chart pattern criteria. The confirmation of the breakout typically requires trading activity above 64.19, which would trigger the measured move projection. That target? Around 70.59, which is near a relevant UFO-based resistance level — a region where sellers historically stepped in with force (UnFilled Orders to Sell). Importantly, this bullish thesis will fail if price drops below 60.02, the base of the flag. That invalidation would potentially flip sentiment and set up a bearish scenario with a target near the next UFO support at 53.58. To properly visualize the dual scenario forming in Crude Oil, a multi-timeframe approach is often very useful as each timeframe adds clarity to structure, breakout logic, and entry/exit positioning: Weekly Chart: Reveals two consecutive indecision candles, reflecting hesitation as the market awaits the OPEC outcome. Daily chart: Presents a MACD bullish divergence, potentially adding strength to the reversal case. Zoomed-in 4H chart: Further clarifies the boundaries of the bullish flag. 🎯 Trade Plan – CL and MCL Long/Short Scenarios ⏫ Bullish Trade Plan: o Product: CL or MCL o Entry: Break above 64.19 o Target: 70.59 (UFO resistance) o Stop Options: Option A: 60.02 (tight, under flag) Option B: ATR-based trailing stop o Ideal for momentum traders taking advantage of chart pattern combined with fundamental data coming out of an OPEC meeting ⏬ Bearish Trade Plan: o Trigger: Break below 60.02 o Target: 53.58 (UFO support) o Stop Options: Option A: 64.19 (tight, above flag) Option B: ATR-based trailing stop o Ideal for momentum traders fading pattern failures ⚙️ Contract Specs – CL vs MCL Crude Oil can be traded through two futures contracts on CME Group: the standard CL (WTI Crude Oil Futures) and the smaller-sized MCL (Micro WTI Crude Oil Futures). Both offer identical tick structures, making MCL a powerful instrument for traders needing more flexibility in position sizing. CL represents 1,000 barrels of crude per contract. Each tick (0.01 move) is worth $10, and one full point of movement equals $1,000. The current estimated initial margin required to trade one CL contract is approximately $6,000 per contract, although this may vary based on market volatility and brokerage terms. MCL, the micro version, represents 100 barrels per contract — exactly 1/10th the size of CL. Each 0.01 tick move is worth $1, with one point equaling $100. The estimated initial margin for MCL is around $600, offering traders access to the same technical setups at significantly reduced capital exposure. These two contracts mirror each other tick-for-tick. MCL is ideal for: Testing breakout trades with lower risk Scaling in/out around events like OPEC Implementing precise risk management strategies Meanwhile, CL provides larger exposure and higher dollar returns but requires tighter control of risk and account drawdowns. Traders can choose either—or both—based on their strategy and account size. 🛡️ Risk Management – The Foundation of Survival Technical setups don’t make traders profitable — risk management does. Before the OPEC meeting, traders must be aware that volatility can spike, spreads may widen, and whipsaws can invalidate even the cleanest chart pattern. That’s why stop losses aren’t optional — they’re mandatory. Whether you choose a near level, a deeper stop below the head, or an ATR-based trailing method, the key is clear: define risk before entry. MCL helps mitigate capital exposure for those testing breakout confirmation. CL demands higher margin and greater drawdown flexibility — but offers bigger tick rewards. Precision also applies to exits. Targets must be defined before entry to maintain reward-to-risk discipline. Avoid adding to losers or chasing breakouts post-event. And most importantly — never hold a losing position into an event like OPEC, hoping for recovery. Risk is not a gamble. It’s a calculated variable. Treat it with respect. 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.

Education

Is It Time to Enter, or time to escape?One green candle is all it takes to trigger thousands of minds into thinking Should I jump in now? But is this truly a good entry point, or are you just afraid of missing the move? Let’s break down how psychology tricks us into bad trades—and how to fight back with real chart data. 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 +6% 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 , 📉 Why Do We Buy More When Markets Are High? It’s a simple question—but the answer runs deep into our psychology. When a crypto pumps, and we’re not in it, our brain doesn’t analyze—it rationalizes: "If I don’t buy now, I’ll miss out." But most people who think like this enter at the top—and exit with regret . 🧠 The Psychology of FOMO and Poor Timing In every rally, a large chunk of entries are triggered by FOMO (Fear of Missing Out). But buying high means you're buying from those who bought lower. And here's the trick: your brain loves the green candles—but ignores volume drops, RSI spikes, or exhaustion signals. 🛠 TradingView Tools to Spot Smart Entry Points When it comes to entering a position, emotions are your worst advisor. Fortunately, TradingView offers powerful tools to help you act based on evidence, not instinct. Here’s how to use them: 🔹 Trend-Based Fib Extension: One of the best tools to estimate how much room a move still has. Plot it on the previous wave to identify realistic targets. 🔹 RSI (Relative Strength Index): When RSI is over 70 or under 30, you’re in emotional territory. Be careful—buying during peak RSI often means you're entering late. 🔹 MACD: Look for crossovers between lines and histogram patterns. Use it as confirmation—not a solo trigger—for entries. 🔹 Volume Profile: This hidden gem on TradingView shows you where most trading volume has occurred. Buying at volume-supported levels is way safer. 🔹 Alerts & Watchlists: Don’t glue yourself to the chart. Set alerts for your conditions and build smart watchlists to stay updated. 🔹 Replay Mode: Want to master entries without risking real capital? Use Replay Mode to test strategies and train your eyes. If you want to replace "guessing" with "planning," these tools should be your daily companions. 🔍 5-Point Checklist Before You Hit "Buy" Ask yourself these five questions before entering a trade: Is the broader trend actually bullish—or is this just a short-lived bounce? What does RSI or other indicators say about overbuying? Are there major support/resistance zones nearby? Is the volume confirming the move—or fading out? Do you have a target and stop in place—or just a “need to be in”? 📊 No Plan Entry = Planned Loss If you jump in without a clear plan, your only focus becomes: “Am I in profit yet?” Not “Is my strategy playing out?” And that’s the trap. A solid entry means you have a signal, a plan, and controlled risk. 🧲 How to Avoid Getting Pulled Into Fake Rallies Always check higher timeframes for confirmation Don’t enter without volume agreement Plan entries after pullbacks, not mid-hype Think in probabilities, not dreams 🧭 Final Takeaway & Recommendation Opportunities never end in the market. Opportunities never end in the market. Opportunities never end in the market. Opportunities never end in the market. Opportunities never end in the market. Opportunities never end in the market. Opportunities never end in the market. i should write this thousand of time ☝️ But rushing in only guarantees missed ones. Use your tools and stay calm. The trader who plans always beats the one who panics. 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

Smart Entry into the Wheel Using a Credit Put Spread on QQQ Smart Entry into the Wheel Strategy Using a Credit Put Spread on QQQ ⚠️ ⚠️ Warning and Disclaimer⚠️⚠️: This strategy is a trading concept and not financial advice. All traders must conduct their own research and accept full responsibility for the risks involved. While NASDAQ:QQQ is considered a high-quality ETF, options trading always carries the potential for capital loss. Market Context & Strategic Outlook Assuming the weekly gap in QQQ gets filled, we may see a temporary correction to around $488 , followed by a quick recovery and potential consolidation near $500 , assuming no new negative catalysts. While I remain skeptical of the market staying perfectly stable, this scenario provides an opportunity for a strategically structured option play with reasonable reward and manageable risk. If you're planning to acquire 100 shares of QQQ or have the buying power to do so, this strategy can offer a smart and flexible way to enter a long-term position while generating short-term income. Strategy Concept: Credit Put Spread as Wheel Entry Prerequisites: Buying Power: $50,000+ Ideal Market Conditions: Short-term weakness followed by stabilization Expiration: ~7 Days to Expiry (DTE), depending on volatility and setup Option Positions Initial Credit Put Spread Sell QQQ $500 Put Buy QQQ $498 Put Net Delta: Less than 0.03 Note: Short strike must be at $500 to set the stage for assignment and wheel initiation. Management Phases Stage 1: Entry via Credit Put Spread - Sell the vertical spread with the intention of owning QQQ. - If QQQ falls below $500 , close or roll the long $498 put to a lower strike with delta < 0.15. - Upon expiration: Let the short put assign, or Buy the 100 shares outright and close the short leg before the market closes. Model Virtualization Alternative (managing risk with rolling down the long put) Model Virtualization Goal: Own QQQ at a slightly discounted price, with reduced initial cost due to premium received. Stage 2: Transition to Covered Call - After assignment or manual purchase, sell a covered call: Target DTE ≈ 7 days Delta ≈ -0.45 Strike price must be ≥ $500 If not available, sell the short call at $500 strike. Model Virtualization This generates weekly income while holding the shares, allowing the strategy to compound returns. Stage 3: Exit or Continue Wheel - If the call expires worthless, repeat the covered call sale weekly. - If assigned early, welcome it as it accelerates capital rotation. - You may also manually unwind the position on expiration if near max profit or market conditions shift. Model Virtualization Strategic Rationale This strategy is a more dynamic and risk-managed version of the traditional Wheel. Rather than starting with a fully cash-secured put, we use a credit put spread for entry, offering a buffer against a steep drop with lower upfront margin. Why Not Just Sell the Put? A credit put spread offers: Defined risk Lower buying power requirement Better capital efficiency if the price declines sharply When NOT to Use This Strategy If QQQ is expected to trade in a narrow range with minimal volatility, avoid this approach. Instead, consider: Butterfly or Iron Condor setups with DTE ~12 days Calendar spreads to benefit from sideways action Risk and Reward Assessment Risk and Reward Assessment, Outcome Scenarios Scenario 1: Price stays above $500 Outcome: Credit put spread expires worthless Estimated Profit: ~$150 ROI: Approx. 0.3% on $50,000 buying power Note: No shares are acquired; premium is kept Scenario 2: Price drops below $500 but recovers Outcome: Assigned 100 shares, enter covered call phase Estimated Profit (3 weeks total): ~$800–$1,200 ROI: Approx. 2% Note: Ideal wheel cycle if managed properly Scenario 3: Price drops and stays low Outcome: Maximum loss on the credit put spread Estimated Profit: -$160 Note: This occurs if the spread expires in-the-money and is unmanaged This strategy aims not to harvest credit, but to secure a better entry into a long-term equity position. Caution on Risk While QQQ is a fundamentally strong ETF, a sharp decline could lock your capital or increase unrealized losses. Liquidity risk which needs that cash for other purposes is the biggest concern. Mitigation Tip: Consider using a collar strategy (buying protective puts) to hedge against large drawdowns post-assignment. Stop Loss? For long-term investors in QQQ, a traditional stop-loss is less critical. But if you're more tactical or capital-sensitive, protecting the downside with a collar is a reasonable move. Final Thoughts This approach offers a sophisticated entry into the "Wheel" strategy, additionally, it balances risk, reward, and capital efficiency. Whether the market pulls back or holds steady, you’re either: Earning premium while staying in cash, or Entering a high-quality equity position at a better price and generating income weekly. Thank you for reading. Wish you a successful options trading!

Education

High-Frequency Trading (HFT) in Forex and Stocks High-Frequency Trading (HFT) in Forex and Stocks High-Frequency Trading (HFT) has garnered significant attention due to its transformative impact on markets, reshaping the way they operate, influencing liquidity, price discovery, and overall efficiency. In this FXOpen article, we focus on high frequency forex and stock trading, its definition and its specific applications, pointing out the opportunities and challenges that this trading method presents. High-Frequency Trading: An In-Depth Analysis High-frequency trading represents a dynamic and swiftly evolving facet of the financial world. Understanding the basic HFT concept can help traders develop and employ advanced trading strategies. Definition At its essence, high-frequency trading is characterised by the swift execution of a substantial number of orders within exceptionally brief time intervals, often measured in milliseconds or microseconds. Traders engaged in HFT within the market leverage robust algorithms and state-of-the-art technology to scrutinise extensive sets of market data, facilitating swift and informed trading decisions. At the heart of HFT is its ability to harness even the slightest price differentials, allowing traders to take advantage of market inefficiencies that may elude traditional counterparts. Key Features The key attributes of high-frequency trading encompass remarkable speed, elevated order-to-trade ratios, and a dedicated focus on exploiting short-term fluctuations in the market. The primary objective is to execute a considerable volume of orders with precision, enabling traders to capitalise on momentary opportunities. This approach aligns with the broader domain of algorithmic trading, where pre-programmed instructions are believed to guide strategic decision-making for potentially efficient market participation. HFT isn’t very common for retail traders. Usually, it’s done by institutional investors as this method requires significant funds and advanced software. Strategies Employed in HFT Forex and Stock Trading High-frequency trading encompasses a variety of strategies, each designed to exploit specific market conditions. - Market Making involves the continuous quoting of buy and sell prices for currency pairs and stocks. HFT investors aim to capture the bid-ask spread swiftly, contributing to market liquidity. By providing liquidity, market makers facilitate seamless transactions on HFT trading platforms and play a crucial role in the efficient functioning of the markets. - Order Flow Analysis: HFT traders analyse the order flow, seeking insights into the direction of large institutional orders. They may front-run these orders, quickly buying or selling to take advantage of subsequent price movements. - Tick Scalping: This strategy involves making numerous small trades on tiny price fluctuations within milliseconds. HFT algorithms are designed to capture these minuscule movements. - Machine Learning and AI: Advanced machine learning and AI techniques are increasingly used in HFT. These algorithms continuously learn from market data to refine strategies and adapt to changing market conditions. Choosing the Right Tools in the High-Frequency Trading Landscape The selection of the right tools is paramount for forex and stock traders, whereby several key components have to be considered. Best High-Frequency Trading Software Can Unleash Algorithmic Power At the heart of every high-frequency trading strategy lies powerful software designed to execute trades with speed and precision. The best high-frequency trading software incorporates advanced algorithms, machine learning, and artificial intelligence to analyse market data swiftly. These algorithms may help traders to make split-second decisions, leveraging the smallest market differentials. High-frequency trading software should also evolve quickly to meet the demands of modern traders. Such software cannot be launched on a regular PC. High-Frequency Trading Brokers Should Facilitate Swift Execution High-frequency trading brokers facilitate the rapid execution of trades and provide access to market liquidity. These brokers often offer low-latency connections, specialised infrastructure, and co-location services to minimise execution delays. The selection process involves the careful consideration of factors such as execution speed, fees, and reliability. High-frequency trading brokers typically offer integrated high-frequency trading apps that allow for real-time monitoring, instant decision-making, and swift trade execution. As the demand for flexibility and accessibility continues to grow, high-frequency trading technology has become an indispensable tool. The Impact of High-Frequency Trading High-frequency trading brings forth a dual-edged sword for forex and stock markets, with both advantages and concerns shaping its impact on financial markets. Striking the balance is essential for fostering a financial environment that encourages innovation while upholding the principles of transparency and fairness that retail traders rely on. Advantages of HFT One of the primary advantages of high-frequency trading is its positive impact on market liquidity. HFT strategies contribute to a continuous flow of buy and sell orders, which may ensure there is a ready market for traders to execute transactions. This increased liquidity may lead to narrower bid-ask spreads, benefiting market participants by reducing transaction costs. Concerns and Criticisms Critics argue that the speed and volume of HFT trades can be used to influence prices in a way that may not align with fair market practices. Strategies such as spoofing, layering, and quote stuffing have raised apprehensions about the integrity of market dynamics. HFT's role in the market has also been linked to increased volatility, especially during times of stress or uncertainty. The rapid execution of trades by algorithms responding to changing market conditions can amplify price swings, leading to concerns about stability. Final Thoughts Though institutional and professional traders are more likely to have the required financial resources to invest in cutting-edge high-frequency trading technology and infrastructure, retail traders can also take advantage of the HFT concept by researching the available options and understanding the market implications. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.

Education

Greed: The Silent Killer Behind Your Liquidations When the market turns green, everyone feels like a genius... But why do most traders lose the most money exactly at that point? Is it your greed tricking you, or is the market designed to trap emotions? In this analysis, we take a deep dive into how greed shapes your decisions — plus tools to help you stay rational before placing any trade. Hello✌ Spend 3 minutes ⏰ reading this educational material. 🎯 Analytical Insight on Solana: SOL, a market leader and one of my top picks, is currently consolidating near the critical psychological level of $200. Given its historical momentum and influence over correlated assets, a clean break above this level could trigger a minimum 14% upside, with $200 as the immediate target . Market sentiment remains cautious, but the setup hints at a potential bullish continuation 🚀. Now , let's dive into the educational section, 💥 Where Does Greed Actually Start? Greed often wears the mask of motivation. The difference? Motivation is rooted in analysis. Greed is rooted in fantasy. When a coin suddenly pumps 150%, the noise on social media explodes — and so do your imagined gains… often before you've even checked the 4H chart. 📊 TradingView Tools to Spot Greed Traps TradingView isn't just about pretty charts — it's a powerful platform to organize your trading mindset, if you know how to use it right. Here are three practical tools to help you identify whether your next trade is based on logic — or just plain hype: Fear & Greed Index: A composite indicator showing the market's emotional state using volume, volatility, and other metrics. Readings above 70? You’re probably in a greed zone. Volume Profile Visible Range (VPVR): This shows where real money has flowed. If you’re buying in a price zone with historically low volume, you might be walking into a fake breakout. Relative Strength Index (RSI) with 2 or 7 Settings: A hyper-reactive RSI setting helps you catch emotional peaks in smaller timeframes. Above 80? Time to breathe, not buy. Pro tip : Build a self-check list on your chart. Questions like: “Am I acting on impulse?” or “Is this revenge trading?” can save you from emotional trades. 🔁 Repeating Behaviors That Kill Accounts Entering with high leverage and no stop-loss Buying into massive green candles Copying trades without personal analysis Switching strategies based on emotions Trading just to recover past losses (aka revenge trading) These are not strategy flaws — they are emotional traps caused by unchecked greed. 🧘‍♂️ How to Calm Your Mind Before Trading Ask yourself: "If this trade flips against me, what's my move?" Use TradingView Alerts instead of staring at charts for hours Define risk per trade as a percentage, not based on "gut feeling" Always have an exit plan — the market doesn’t care about your hopes 📉 Is Liquidation Always a Sign of Bad Analysis? Not always. Often, the chart was right, but greed kept the trader from exiting at the logical spot. Tools told you to get out — but your mind said, “What if it goes higher?” 🧭 How Greed Shows Up in Different Timeframes In 5-minute charts, greed looks like sudden spikes. In 4H charts, it can be a fakeout or deceptive pullback. Recognizing the form greed takes in your preferred timeframe is a game-changer. 🧲 How to Use Greed to Your Advantage Yes — you can flip the script. When everyone is entering trades driven by greed, you can prepare to exit. If RSI is high, volume is weak, and hype is everywhere — maybe it’s time to cash out, not load up . 💡Closing Note Greed exists in every market — but that doesn’t mean you have to follow it. Start treating your chart like a mirror — not a crystal ball. When a trade feels “too perfect,” stop and reflect. It might not be your edge talking — it might be your greed . 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

Top 10 Rookie Trading Mistakes (And How to Laugh at Your Own)So you’ve just discovered trading. Maybe it started with a Reddit thread. Maybe someone said “trading Nvidia NASDAQ:NVDA is like printing money.” Or maybe you just liked the name “Shiba Inu” and figured memecoins was a good investment thesis. Either way, welcome. This is where dreams are made, lost, rebought on leverage, and then tweeted about. The markets are ruthless, but also educational — if you’re humble enough to learn and bold enough to laugh when you inevitably light your first $100 on fire by accidentally shorting Apple NASDAQ:AAPL during a breakout. This article is for you. The new trader. The (overconfident?) beginner. Let’s talk about the top 10 rookie trading mistakes — and how to laugh at your own before the market does it for you. 1️⃣ Mistaking Luck for Skill (aka “Call Me Baby Buffett”) Your first trade is a win. Your second is too. Maybe it’s a meme stock . Maybe it’s a hot IPO. Either way, you’re convinced you’ve cracked the matrix. You tell your friends: “I just have a feel for this stuff.” What actually happened: You got lucky in a trending market. And now you're about to go full Titanic on a position you didn’t research, because hey — you're "on a roll." What you can do insead, and probably have a laugh about it years later, is screenshot your account right now in your very early steps. Frame it. Label it: Exhibit A in Emotional Risk Management. 2️⃣ The Revenge Trade: “I’ll Win It Back” You took a loss. A big one. Your first real slap from the market. So what do you do? Walk away? Reflect? Journal it? Nah. You go in twice as hard on the next setup. Same ticker. Same direction. More size. Spoiler alert: It doesn’t end well. That type of spiraling behavior usually happens when you think the market owes you something. It doesn’t. Not even an apology. Imagine explaining your decision to a judge. “Your Honor, I lost money shorting Tesla, so naturally I doubled down five minutes later.” Case dismissed — and that’s why revenge trading is so dangerous . 3️⃣ FOMO FOMO FOMO A green candle pops up on your watchlist. It’s moving. Fast. You missed the breakout but you still click “buy” because you’re not missing this train. You get in. It tops. You hold. It drops. You panic. It rebounds… just after you sell. Classic rookie cycle. Why does this happen? The fear of missing out turns off your brain faster than a margin call. Call it what it is — chasing. Say it out loud like it’s therapy: “Hi, this is Patrick and I like to buy things 10% too late.” Maybe it helps. 4️⃣ “I’m Married to This Trade” It started with a spark. The chart looked good. The RSI whispered sweet nothings. You thought, “This could be the one.” So you bought. Then bought again. And when it dipped harder than your last relationship, you said, “It’s okay, we’re just going through a rough patch.” Before you knew it, you weren’t trading — you were in a toxic relationship with a ticker. You’ve abandoned your edge for emotion. Confirmation bias kicks in, and instead of managing risk, you’re managing denial. You stop analyzing the chart and start defending it like it’s your firstborn. If you’re talking about a stock (or anything else on a chart) the way your friend talks about their ex — “It just needs time, I know it’ll come back” — you’re not trading. You’re coping. 5️⃣ All In, All the Time Risk management? Never heard of that. You found a setup that “can’t fail,” so you went 100% in. On margin. On a Friday. What could go wrong? Answer: Everything. Especially when your trade gaps against you on Monday morning after Trump has said tariffs are changing once again. That’s when you know you’re mistaking conviction for strategy. They’re not the same. 6️⃣ Ignoring the Bigger Picture You nailed the 15-minute chart. Gorgeous breakout. But somehow, you forgot to check the daily — where your “breakout” is just a lower high in a brutal downtrend. Oops. Think about whether you've got tunnel vision. You went along with your short-term bias instead of checking the bigger picture when things are different. What you can do instead, is make a rule: before every trade, zoom out. Literally. Leave no timeframe unexamined (at least up to the daily frame). 7️⃣ Trading Every Day Like It’s the Super Bowl New traders think they have to trade every day. Every single session. Every little move. And when there’s no good setup? They make one up, trying to whip up trendlines to justify their trading. What happens next: Boredom trades. Overtrading. Why it happens: You're addicted to the action, not the outcome. What can you do instead? Write down the number of trades you made last week. Multiply it by the average commission you paid. Now imagine what you could’ve bought instead. And, what could be even better, consider taking a lesson in patience . 8️⃣ Blind Faith in Indicators The RSI is at 18. The MACD just crossed. Stochastic says “maybe.” So you buy. No price action. No trend. Just… vibes and indicators. Result: You become a victim of the “indicator trap” — relying so heavily on these lines you forget to read the actual chart — momentum, market sentiment, broader technicals, and fundamentals. What’s a better approach is to treat your indicators like seasoning, not the main dish. The best trades come from confluence, not wishful thinking dressed up as technical analysis. 9️⃣ The Trading Journal You Never Wrote If you can’t remember why you entered a trade, you’re not at your best. Here’s a pro tip: Keep a trading journal . One that records your thesis, entry, stop, target, and outcome. You know — the boring stuff that makes you better. Why is that important? Journaling builds discipline. Patterns. Self-awareness. It’s never too late to start your journal! 🔟 Expecting to Get Rich Quick This is the big one. The rookie mindset that kills most portfolios: I’m gonna turn $500 into $5,000 in a month. You won’t. Sorry. And even if you do, you won’t keep it. Trading rewards patience, process, and preservation. Not YOLO bets and delusions of grandeur. Try looking at your P&L like a diet. If you expect six-pack abs in a week, you’ll burn out and crash your progress. If you focus on habits? You’ll outlive the hype. 📚 Conclusion: Every Trader Starts Stupid Let’s be clear — all of us have made these mistakes, even the big shots out there that run billion-dollar funds. The only difference between a rookie and a pro is how fast you learn from them. Or better yet — how fast you can laugh at them, document them, and evolve. Because the truth is, the market is the most expensive comedy club on Earth. And every trade is a new punchline. So if you're new, mess up. Take notes. Stay humble. And above all — enjoy the chaos. One day you’ll look back at your Doge CRYPTOCAP:DOGE top-buy with fondness. After all, it’s only a mistake if you didn’t learn. Otherwise, it’s just tuition paid for by your trading account. What’s a mistake we didn’t mention? Share your tips, tricks, mistakes, and lessons in the comment section!

Education

Fake Candle: Stop Getting Liquidated Today A giant green candle pops up on your chart… You get excited, jump in — and boom, price dumps ! Fake candles are one of the market’s most psychological traps . This breakdown shows how to avoid getting tricked — and even profit from them! Hello✌ Spend 3 minutes ⏰ reading this educational material. 🎯 Analytical Insight on Dogecoin: Dogecoin has posted an impressive 60% rally in recent weeks and is now testing the key psychological resistance at $0.25. A confirmed breakout from this level could unlock at least 22% further upside , aligning with a breakout above the descending channel toward the $0.28 target. Key daily support, Fibonacci confluence, and a rising trendline are also in play. 📉🚀 Now , let's dive into the educational section, 🧠 The Psychology Behind Candle Traps It all starts when the market shows a sudden sharp move. A strong bullish candle — full of hope — shows up out of nowhere. But guess what? Most of the time, it’s just bait. Smart money loves this moment — when retail traders think a moonshot is coming. So never trust the candle’s look alone. Look deeper for confirmation. 🛠 TradingView Tools to Catch Fake Candles📊 practical tools inside TradingView that help detect false signals. Set these up and test them live in your charting flow: Volume Profile Shows you where volume is really happening. No volume = no trust. Session Volume HD Reveals hidden session volume. If a big candle has weak session volume, that’s a red flag. Relative Volume (RVOL) Tells you if current volume is above/below normal. Fake candles often come with volume mismatch. Candle Close Timer Shows how long until a candle closes. Wait for that close — fake candles often flip last minute. Multiple Timeframe Analysis Check higher TFs before trusting the move. Many fake candles trick you in low TFs. Apply these directly inside your TradingView layout — it’s a game changer. 🔍 Real Candle vs Fake Candle A real candle usually forms at a key support/resistance level with solid volume. A fake one? Often pops up in a random zone, low volume, and before higher timeframes confirm. Pro tip: Wait for the candle to fully close — then check if volume + structure supports the move. 📉 Rookie Mistake Alert New traders often jump in on the first big candle they see. Why? Because they want to be “early” and catch the move. But in markets, patience wins — not speed. Follow footprints, not fireworks. 🎯 Three-Step Filter For Fake Candles Here’s your anti-fake-candle checklist: No volume? No entry! Confirmation over assumption. Use indicators like RSI, divergence, or MAs. Always check the higher timeframe. Low TF = high deception. 🔄 Market Makers Love These Games Fake candles are a classic weapon for market makers. They know exactly when emotional traders will FOMO in. These aren’t just candles — they’re emotional traps. Study the trap, not just the move. 🧩 Final Takeaway & Suggestion Fake candles aren’t just technical — they’re psychological . Use the right tools, wait for confirmation, and don’t let your emotions lead . Start your next analysis with a mental filter , not just a visual one. 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

Golden Cross? You are late! Here’s How to Get In Early.📉 “Golden Cross? No Thanks. Here’s How to Get In Early.” By FXProfessor Video here: Everyone’s hyped about the Golden Cross again... 📰 “Bullish Signal!” 📈 “50 SMA crossed the 200!” 🎉 “Party time!” Let me stop you right there. If you’re waiting for that cross to go long — You’re not late. You’re definitely late. The Golden Cross is a lagging indication. It’s the afterparty. The smart money already had the drinks and left. 🔍 Here's the deal: ✅ Golden Cross forms after the move ✅ Price is usually already up double digits ✅ Sometimes it triggers right before a top ✅ Even EMAs (which I prefer) are still confirmation tools ✅ The real edge? Structure. Trendlines. Pressure zones. 📊 What I use instead: -Custom EMAs that react faster -My signature parallelogram method for early pressure -Focus on trendlines and structure -Above all — logic, not hype - Fundamentals first! For example, while the Golden Cross just printed, I was already watching $74,394 and $79,000. Why? Because pressure builds before indicators react. That's where the best entries live. So next time someone posts “Golden Cross confirmed!” 😏 Just smile and remember: By the time the cross lights up, I’m already halfway to the next target. Use EMAs if you like. But structure comes first. That’s where the party starts. One Love, The FXProfessor 🧠📈 Disclosure: I am happy to be part of the Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.

Education

by FX_Professor

The Invisible Hand in Crypto: Are We Just Puppets?You think you’re trading based on your analysis? Maybe you’re just thinking that. The crypto market might be far more controlled than you realize — here’s how, when, and why . Hello✌ Spend 3 minutes ⏰ reading this educational material. 🎯 Analytical Insight on Ethereum: Following its impressive recent rally, ETH continues to show strength, supported by high volume and a clear bullish market structure. A key daily support—confluent with the Fibonacci zone and an ascending trendline—remains intact. My main target stands at the psychological $3,000 level, implying ~16% upside potential if momentum sustains. 🔍 Now , let's dive into the educational section, 📊 TradingView Tools: Decoding the Minds of the Whales In a market where price moves often feel pre-scripted, precision tools aren’t a luxury — they’re survival gear. TradingView offers indicators like Accumulation/Distribution, On-Balance Volume, Smart Money Concepts, and Liquidity Heatmaps that help you spot where big money is entering or exiting . These tools, especially on higher timeframes, can reveal underlying accumulation or distribution before major moves happen. For instance, if OBV rises while price remains flat, whales might be silently building positions. Also, indicators like Whale Alerts, based on on-chain analysis, can show large transactions often tied to upcoming volatility. Combine this with tools like Volume Profile or classic trendlines, and you’re no longer chasing price — you’re anticipating it. 🎯 Collective Behavior or Whale-Orchestrated Moves? Markets — especially crypto — haven’t moved on simple supply and demand for a long time. Many of the price spikes or dumps you see aren’t organic; they’re orchestrated. Big players with massive volumes steer liquidity to where they want it. 🧠 Retail Psychology: A Weapon in Bigger Hands Why do you always enter after a pump? Why does the market bounce right after you panic sell? These are not coincidences. Fear and greed are weapons. Smart money knows exactly how to trigger emotional trades from retailers, turning those reactions into their profits. 🔄 The Recycled Trap Scenarios Here’s a classic: sudden green candle to trigger FOMO, followed by a slight dip, more retail buys in, then a sharp dump — liquidity collected. If this sounds familiar, it’s because it keeps happening. Those who spot it early survive. 📉 It’s About Liquidity, Not Your Support Line Whales don’t care about your trendlines. They care about liquidity. If you know where most long or short positions are placed, you can often predict the next market move. TradingView indicators help identify liquidation zones — follow them. 🕹 You’re Just a Pawn — Unless You Learn the Map If you’re just reacting candle by candle, you’re losing. But when you start thinking like whales, understanding their setups, you flip from pawn to player. Sentiment tools, volume flow, and behavioral indicators are your way out of the trap. 📌 Final Words If you thought your analysis was behind your trades — think again. Smart money plays by a plan, and TradingView’s tools help you see the blueprint. Don’t be manipulated — learn to move like the movers. 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

Soybeans: The Global Protein Powerhouse 🟡 1. Introduction Soybeans might not look like much at first glance — small, round, unassuming. But behind every bean lies a global story of protein demand, export flows, and economic policy. They feed livestock, fuel vehicles, nourish entire populations, and move markets. In fact, soybeans sit at the intersection of agriculture, industry, and geopolitics — making them one of the most actively traded and strategically watched commodities in the world. If you’re looking to understand how soybeans move markets — and how you can trade them effectively — this article is your starting point. 🌍 2. Why the World Cares About Soybeans Few agricultural commodities carry the weight soybeans do. Their importance spans both the food and energy sectors — and their global footprint is enormous. Here’s why they matter: Protein Meal: After processing, about 80% of the soybean becomes high-protein meal used to feed poultry, pigs, and cattle. Soybean Oil: Roughly 20% is extracted as oil — a key ingredient in cooking, industrial products, and increasingly, biodiesel. Biofuels: As the push for renewable energy grows, soybean oil plays a major role in sustainable fuel strategies. Top producers: United States — historically the world’s largest producer. Brazil — now rivals or exceeds U.S. production in some years. Argentina — a dominant player in soybean meal and oil exports. Top importers: China — imports over 60% of globally traded soybeans. EU, Mexico, Japan — also large buyers. Soybeans are a bridge commodity — connecting livestock feed, food manufacturing, and renewable energy. That’s why traders from Chicago to Shanghai watch every yield forecast and export announcement closely. 💹 3. CME Group Soybean Contracts Soybeans trade on the CME Group’s CBOT platform, with two main futures products: o Standard Soybeans Ticker: ZS Size = 5,000 bushels Tick = 0.0025 = $12.50 Margin = ~$2,150 o Micro Soybeans Ticker: MZS Size = 500 bushels Tick = 0.0050 = $2.50 Margin = ~$215 Soybean futures are among the most actively traded agricultural contracts, offering deep liquidity, tight spreads, and excellent volatility for strategic traders. Keep in mind that margins are subject to change — always confirm with your broker. Micro contracts are ideal for scaling in/out of trades or learning market structure without large capital risk. 📅 4. The Soybean Calendar Soybeans follow a seasonal cycle that creates rhythm in the market — and a potential edge for informed traders. In the United States: 🌱 Planting: Late April to early June ☀️ Pod development / blooming: July and early August (weather-sensitive) 🌾 Harvest: September through November In Brazil: 🌱 Planting: October to December 🌾 Harvest: February through April This staggered calendar means that soybean markets have multiple weather risk windows each year. It also means the export flows and global pricing dynamics shift between the Northern and Southern Hemispheres throughout the calendar year. That’s why soybeans tend to have two major volatility windows — mid-summer (U.S. crop concerns) and early Q1 (South American weather). Traders often build seasonal strategies around these patterns — buying weakness before key USDA reports, fading rallies during overbought harvests, or trading futures spreads between U.S. and Brazilian supply flows. 🔄 5. How Soybeans Are Traded Globally Soybeans move through a complex international web of growers, crushers, exporters, and consumers. As a trader, understanding this flow is essential — because each node introduces price risk, opportunity, and reaction points. Key players: o Hedgers: U.S. and Brazilian farmers hedge production risk using futures or options on futures. Exporters hedge shipping schedules against fluctuating basis and FX risk. o Crushers: Companies like Cargill or Bunge buy soybeans to crush into meal and oil. Crush margin (aka “board crush”) affects demand and influences futures spreads. o Speculators: Institutional funds trade soybeans as a macro or relative value play. Retail traders use micro contracts (MZS) to capture directional or seasonal moves. o China: Its purchasing pace (or sudden cancellations) can move markets dramatically. Announcements of bulk U.S. purchases could trigger short-covering rallies. Additionally, soybeans are sometimes traded indirectly via their by-products: Soybean Meal (ZM) Soybean Oil (ZL) These contracts often lead or lag ZS based on demand shifts in feed or fuel. 📈 6. What Makes Soybeans Unique to Trade Compared to wheat and corn, soybeans are: More weather-sensitive during July and August (especially to drought and heat). More globally integrated, thanks to China’s dominant import role. More complex, due to crush dynamics and multiple end-use markets. This multifaceted nature is why many professional traders monitor soybeans, even if they aren’t actively trading them every week. 📌 7. Summary / Takeaway Soybeans are one of the most important — and most tradable — commodities in the world. They feed livestock, fuel industry, and anchor the agricultural markets across two hemispheres. Their unique role in food, fuel, and feed makes them more than just another contract — they’re a barometer for global health, demand, and policy. Whether you’re trading the standard ZS contract or getting started with MZS, mastering soybeans means understanding weather, trade flows, product demand, and seasonality. 🧭 This article is part of our agricultural futures trading series. 📅 Watch for the next release: “Weather and Corn: A Deep Dive into Temperature Impact” 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.

Education

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Select market data provided by ICE Data services. Select reference data provided by FactSet. Copyright © 2025 FactSet Research Systems Inc.© 2025 TradingView, Inc.

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