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Mastering volume bars – How to read and use volume bars!When it comes to trading, price action often takes the spotlight, but volume is the quiet force behind the scenes that tells the real story. Volume bars show how much trading activity occurs during a given time period and can offer valuable insight into the strength or weakness of a price move. In this guide, we’ll break down how to read volume bars, what the different colors represent, and how to use them to make more informed trading decisions. Whether you're a beginner or looking to sharpen your strategy, understanding volume is a key step toward becoming a more confident and capable trader. ------------------------------- What will we discuss: - What is the volume indicator? - What are the green and red volume bars + the MA line? - How does the volume indicator work? - How to use volume during Support/resistance flips? - How to use volume while trading pattern breakouts? - How to use volume while trading inside a pattern? ------------------------------- What is the volume indicator The volume Bar indicator is a simple but yet essential tool that helps traders understand the level of activity behind every price movement. When you add the Volume Bar indicator to your chart, you will see vertical bars appear beneath each candlestick under in your chart. This represents the total volume during that time period. These bars show how much buying and selling occurred, but not whether it was mostly buying or mostly selling. The taller the bar, the more active the market was during that candle. ------------------------------- What are the green and red volume bars + the MA line? A green volume bar means the price closed higher than it opened during that period, indicating bullish sentiment and suggesting that buying pressure was stronger. A red volume bar means the price closed lower than it opened, reflecting bearish sentiment and suggesting that selling pressure dominated. While the volume itself shows how much was traded, the color tells you whether that activity occurred mostly during upward or downward price movement. It's important to note that the color doesn't directly show the number of buyers or sellers, since every trade has both. The MA line in a volume bar indicator stands for “Moving Average.” It represents the average trading volume over a specific number of past periods, smoothing out short-term fluctuations to show the overall trend in volume activity. This helps traders see whether the current volume is unusually high or low compared to the average. For example, if the current volume bar is significantly higher than the MA line, it could signal strong interest or momentum behind a price move. Conversely, if volume is consistently below the MA line, it may indicate weak market participation or a lack of conviction behind recent price changes. ------------------------------- How does the volume indicator work? Using volume effectively in trading involves looking at how it behaves in relation to price. For example, if price is moving up and volume is increasing , that usually confirms strong buying interest, suggesting the move is valid. On the other hand, if price rises on low volume, it could be a sign of weakness or a potential reversal. The same logic applies to down moves, if price drops on high volume, it is more likely a strong selling move. If it drops on low volume, it could just be a temporary pullback. ------------------------------- How to use volume during Support/resistance flips? Volume can also play a key role when trading support and resistance levels. When the price breaks through a key resistance level with strong volume, it often signals a shift in market sentiment and increases the likelihood that this level will now act as support. The high volume behind the breakout indicates strong conviction from buyers, meaning bulls were actively stepping in to push price higher. Because of this, if the price comes back down to retest that zone, it's likely that buyers will defend it, turning the former resistance into solid support. This concept is often referred to as a "break and retest" strategy, and volume is what helps confirm whether the breakout was strong enough to validate the level as a new base. Without significant volume, the breakout might lack follow-through, and the price could easily fall back below the level, failing to establish it as support. But when the breakout is backed by high participation, the probability of that level holding increases. I’ve included an example to show exactly how this plays out in action. ------------------------------- How to use volume while trading pattern breakouts? When trading chart patterns, volume can be a powerful tool to confirm whether a breakout is genuine or likely to be a fake-out. Patterns like triangles, flags, head and shoulders, or rectangles often lead to breakouts, but not all of them are trustworthy. That’s where volume comes in. If price breaks out of a pattern, it's important to look at the volume at that moment. A strong breakout is usually accompanied by a noticeable increase in volume. This surge in volume indicates that more market participants are getting involved, adding weight to the move. Essentially, higher volume reflects stronger conviction. It means traders aren’t just watching the breakout, they’re actively trading it. On the other hand, if the price breaks out but the volume remains low or even drops, that’s a red flag. Low volume suggests a lack of interest or commitment, and the breakout may not have enough strength to continue. In such cases, the price might quickly fall back into the pattern, turning what looked like a breakout into a fake-out. ------------------------------- How to use volume while trading inside a pattern? You can also use volume to gain insights while the price is still developing within a chart pattern, such as a rising wedge. In these situations, volume can help reveal the strength, or lack of strength, behind the price movement, even before a breakout occurs. For example, if the price drops sharply with high volume and then starts moving upward again in a rising wedge formation, but this upward move happens on low or declining volume, it can be a sign of potential weakness. The initial high-volume drop shows strong selling pressure, and the lack of buying volume on the recovery suggests that buyers are not fully supporting the move. This imbalance between strong selling and weak buying can indicate that the upward movement is not sustainable. It often means the rising wedge is forming as a corrective or weakening structure, increasing the chances of a breakdown once the pattern completes. In this way, volume becomes a clue, not just for breakouts, but for spotting when a move might be running out of steam even before it happens. ------------------------------- Thanks for your support. - Make sure to follow me so you don't miss out on the next analysis! - Drop a like and leave a comment!
BYBIT:BTCUSDM2025Education
by Youriverse
44
Why I Deal With Losses Before They Even Appear📉 Mastering the mindset that most traders avoid There’s a moment that happens in every trader’s journey — not during a win, but during a loss. A frozen moment where your mind screams, “It shouldn’t have gone this way!” You look at the screen, your stop is hit, your equity drops, and your brain starts the negotiation: “What if I held a bit longer?” “Maybe the stop was too tight.” “I need to make this back. Now.” But the problem didn’t start with that loss. It started long before you placed the trade. ________________________________________ 💡 The Biggest Lie in Trading: “I’ll Deal With It When It Happens” Too many traders operate from a place of reactivity. They focus on the chart, the breakout, the “R:R,” the indicator... but they forget the only thing that actually matters: ❗️ What if this trade fails — and how will I handle it? That’s not a pessimistic question. It’s the most professional one you can ask. If you only accept the possibility of a loss after the loss happens, it’s too late. You’ve already sabotaged yourself emotionally — and probably financially, too. So here's the core principle I apply every single day: ________________________________________ 🔒 I Accept the Loss Before I Enter Before I click "Buy" or "Sell," I already know: ✅ What my stop is. ✅ How much that stop means in money. ✅ That I am 100% okay losing that amount. If any of those don’t align, the trade is dead before it begins. This is not negotiable. ________________________________________ 🚫 Don’t Touch the Stop. Touch the Volume. One of the biggest mistakes I see — and I’ve done it too, early on — is this: You find a clean technical setup. Let’s say the proper stop is 120 pips away. You feel it’s too wide. You want to tighten it to 40. Why? Not because the market structure says so — but because your ego can’t handle the potential loss. ❌ That’s not trading. That’s emotional budgeting. Instead, keep the stop where it technically makes sense. Then reduce the volume until the potential loss — in money, not pips — is emotionally tolerable. We trade capital, not distance. ________________________________________ 🧠 This Is the Only Risk Model That Makes Sense Your strategy doesn’t need to win every time. It just needs to keep you in the game long enough to let the edge play out. If your risk is too big for your mental tolerance, it’s not sustainable. And if it’s not sustainable, it’s not professional trading. The goal isn’t to be right. The goal is to survive long enough to be consistent. ________________________________________ 📋 My Framework: How I Deal with Losses Before They Show Up Here’s my mental checklist for every trade: 1. Accept the loss before entering. If I’m not okay losing X, I reduce the volume or skip the trade. 2. Set the stop based on structure, not comfort. If the setup needs a 150-pip stop, so be it. It’s not about feelings. 3. Adjust volume to match my comfort zone. I never trade “big” just because a setup looks “great.” Ego has no place here. 4. View trades as part of a series. I expect losses. I expect drawdowns. One trade means nothing. 5. Be willing to exit early if the story changes. If price invalidates the idea before the stop is hit (or the target), I’m gone. ________________________________________ 🧘‍♂️ If You Can’t Sleep With the Trade, You’re Doing It Wrong Peace of mind is underrated. If a trade is making you anxious — not because it’s near SL, but because it’s threatening your sense of control — something is off. And that something is usually your risk size. Professional trading isn’t built on adrenaline. It’s built on calm decisions, repeated for years. ________________________________________ 🏁 Final Thoughts: Profit is Optional. Loss Management is Mandatory. If you want to become consistent, start every trade with a simple, brutally honest question: “Can I lose this money and still feel calm, focused, and in control?” If the answer is no, you’re not ready for the trade — no matter how good the chart looks. Profit is a possibility. Loss is a certainty. Master the certainty. The rest will follow. 🚀 Keep learning, keep growing. Best of luck! Mihai Iacob
PEPPERSTONE:XAUUSDEducation
by Mihai_Iacob
20
Gold and Chart Patterns I’m dropping this XAU/USD M30 insight because my system’s a damn executioner, and you need to see how I hunt the market. This chart is a textbook of bearish patterns—first a bearish three drives showing smart money exhausting buyers with three weakening upward pushes, then a head and shoulders with the neckline break confirming the reversal, and now a bearish shark forming to seal the deal, all playing out within my descending trendlines. Smart money’s been in control from the start, distributing at the peaks, grabbing liquidity, and dumping price to hunt stop-losses below key levels. Supply and demand zones are my edge—supply at the right shoulder of the head and shoulders where sellers stacked orders before the break, demand near the lower trendline where buyers might step in, my target for this bearish move. My checklist operations are a predator’s playbook. I start with harmonic patterns, hunting XABCD structures like the bearish shark I’m seeing now, signaling smart money’s reversal zones. I confirm market structure, looking for breaks of structure to show trend shifts—here, the neckline break confirms bearish continuation. I identify order blocks, those consolidation zones where smart money stacks orders, like the bearish order block at the right shoulder where sellers distributed. Volume profile is key—I check for high volume nodes where price stalls, like the neckline where sellers defended, and low volume nodes that act as magnets, like gaps below the neckline. Top-down analysis keeps me sharp—four-hour timeframe sets the bearish trend, one-hour confirms the break, thirty-minute narrows the setup, fifteen-minute is my strike zone, waiting for a neckline retest. I use Heikin Ashi for confirmation—red candles mean sell, waiting for red on the fifteen-minute at the retest. Fibonacci levels mark my targets—I focus on key extensions to set exits, like targeting the lower trendline of the channel. Gann theory adds confluence—I look for angles or retracements to align with my setups, like a Gann angle pointing to the lower trendline. MACD and RSI measure momentum—MACD’s bearish crossover and negative histogram confirm the downtrend, RSI below fifty with bearish divergence at the right shoulder seals it. Risk management is my law—I risk small to win big, stop-loss above the right shoulder, take-profit at the lower trendline, aiming for a high reward ratio. I monitor news and liquidity traps—fake spikes above the neckline are smart money’s tricks, so I stay sharp. I wait for confirmation—every piece aligns, or I walk, then I document to keep my edge razor-sharp. I’m rating this system a ten out of ten—harmonic patterns, Smart Money Concepts, volume profile, top-down analysis, and now MACD and RSI for momentum make it untouchable. I’ve fine-tuned this over six months, backtesting until it’s a weapon. I need two of you to join me at Academia—let’s hunt together.DYOR Shieldsmine Diaries
FOREXCOM:XAUUSDEducation
by godshieldufford
3
9 Simple Ratios Every Great Investor Uses - Buffett Included!Forget the hype, headlines, or hope. These 9 financial ratios are what real investors actually use to pick winners, but... P/E? ROE? EPS? 🧐 - What are they, or better yet, WHO are they? 🤯 - How high is “too high”? - Is a low number always good, or just a trap? - Do all industries follow the same rules… or is that another myth? Buffett. Greenblatt. Graham. Lynch. They didn’t rely on vibes — they trusted fundamentals After years of relying on charts, I built a 9-point fundamentals checklist to filter stocks faster and smarter. Now I’m sharing it with real-life examples and key insights to help you spot what really makes a stock worth owning: Easy enough for new investors diving into fundamentals Sharp enough to level up seasoned pros Real enough to avoid hype …but the truth is: these numbers did flag companies like Amazon, Apple, and Nvidia before the market gave them credit. ----------------------------------------------------- ✅ Quick Reference Table Scan the table, then dive into the stories… First Pro Tip: Bookmark this. You’ll check these before every stock pick. ----------------------------------------------------- 📊 1. P/E Ratio | Price-to-Earnings What it tells you: How much you pay for each dollar of a company’s profit. Short Example: A P/E of 20 means you pay $20 for $1 of profit. High P/E? Expect big growth or risk overpaying. Strong: Between 15 and 25 Caution: Above 30 (unless fast growth) Industry Averages: - Tech: 25–40 - Utilities: 10–15 - Consumer Staples: 15–20 - Energy: 10–20 - Healthcare: 20–30 Story: In early 2023, NVIDIA’s P/E ratio hovered around 25, near the low end for tech stocks. Investors who saw this as a steal amid the AI boom were rewarded—NVIDIA’s stock made 4x by the end of 2024 as AI chip demand soared. Contrast that with Tesla in Q1 2025, when its P/E spiked above 40 with slowing sales and Tesla’s stock dropped 50% in weeks. Pro tip: A low P/E is not always good. If growth is weak or falling, it's often a trap. Example: A utility company with a P/E of 30 is probably overpriced. A tech stock with 35 might still be fair — if growth justifies it. ----------------------------------------------------- 🧠 2. PEG Ratio | Price-to-Earnings-to-Growth What it tells you: If a high P/E is worth it based on future profit growth. Whether the earnings growth justifies the price. Short Example: A PEG below 1 means you’re getting growth at a fair price. High PEG? You’re overpaying. Strong: Below 1 Caution: Above 2 Industry Averages: - Software: below 1.5 is solid - Consumer Goods: Below 2 is more realistic - Tech: Below 1 - Consumer Staples: Below 1.5 - Healthcare: Below 1.2 - Financials: Below 1.5 - Energy: Below 1.3 Story: In mid-2022, Salesforce’s PEG was 0.8 (P/E 35, forward EPS growth 45%) as cloud demand surged. Investors who spotted this steal saw the stock climb 130% by the end of 2024. Meanwhile, Peloton in 2023 had a P/E of 20 but near-zero growth (PEG above 3). Its stock cratered -50% as fitness trends faded. Story: NVIDIA’s PEG hit 0.9 in Q3 2023 (P/E 30, growth 35%) during AI hype, a steal for tech (average PEG below 1.2). PEG filters hype. A stock can look expensive until you factor in growth. ----------------------------------------------------- 🧱 3. P/B Ratio | Price-to-Book What it tells you: How much you pay compared to what the company owns (like buildings or cash). Short Example: A P/B below 1.5 means you’re paying close to the company’s asset value. High P/B? Expect strong profits or risk. Strong: Below 1.5 Caution: Below 1 + poor earnings = value trap Industry Averages: - Banks: Below 1.5 - Insurance: Below 1.3 - REITs: Use NAV (aim below 1.2) - Tech: Often ignored - Energy: Below 2 Story: In 2024, JPMorgan Chase’s P/B was 1.4, solid for banks (average below 1.5). Investors who bought enjoyed 100% gains. n 2023, Bed Bath & Beyond’s P/B fell below 1 with collapsing earnings. It looked cheap but filed for bankruptcy that year. Tip: Only use this in asset-heavy sectors like banking or real estate. ----------------------------------------------------- ⚙️ 4. ROE | Return on Equity What it tells you: How well a company turns investor money into profits. Short Example: An ROE above 15% means the company makes good money from your investment. Low ROE? Weak returns. Strong: Above 15% Caution: Below 10% unless in slow-growth industries Industry Averages: - Tech: 20–30% - Consumer Staples: 15–25% - Utilities: 8–12% - Financials: 10–15% - Healthcare: 15–20% Story: Coca-Cola (KO) has kept ROE above 35% for years, a sign of brand power and pricing strength. Eli Lilly’s (LLY) ROE stayed above 25% from 2022–2024, a healthcare leader (average 15–20%). Its weight-loss drug Mounjaro drove consistent profits, lifting the stock 150%+ in two years. Checking ROE trends helped investors spot this winner. Tip: If ROE is high but D/E is also high, be careful, it might just be leverage. ----------------------------------------------------- 💰 5. Net Margin | Profitability What it tells you: How much profit a company keeps from its sales or what % of revenue ends up as pure profit. Short Example: A 10% margin means $10 profit per $100 in sales. Low margin? Tough business or high costs. Strong: Above 10-15%+ Caution: Below 5% Industry Averages: - Software: 20–30% - Retail: 2–5% - Manufacturing: 8–12% - Consumer Staples: 10–15% - Energy: 5–10% - Healthcare: 8–15% Story: Walmart’s (WMT) 2% net margin looks tiny — but it’s expected in retail. A software firm with 5%? That’s a warning — high costs or weak pricing. In 2023, Zoom’s (ZM) net margin fell to 5% (down from 25% in 2021), well below software’s 20–30% average. Pricing pressure and competition crushed its stock quite a lot. Meanwhile, Apple’s 25% margin in 2024 (tech average 20%) remained a cash cow. Tip: Margins show whether the company owns its pricing or competes on price. ----------------------------------------------------- 💣 6. D/E Ratio | Debt-to-Equity What it tells you: How much debt a company uses compared to investor money. Short Example: A D/E below 1 means more investor cash than debt. High D/E? Risky if profits dip. Strong: Below 1 Caution: Above 2 (except REITs or utilities) Industry Averages: - Tech: 0–0.5 - Industrials: 0.5–1.5 - REITs: 1.5–2.5 (manageable due to structure) - Utilities: 1–2 - Energy: 0.5–1.5 Story: In 2024, Tesla’s D/E dropped below 0.3 (tech average 0–0.5) as it paid down debt, signaling strength despite sales dips - a massive rally afterward. Tip: Rising debt + falling profits = a storm coming. Always check both. ----------------------------------------------------- 💵 7. Free Cash Flow (FCF) What it tells you: Cash left after paying for operations and growth investments. Short Example: Apple’s $100 billion cash pile in 2024 funded stock buybacks, boosting shares. Low cash? Trouble looms. Strong: Positive and growing Caution: Negative for multiple years Sector notes: - Tech: Lots of cash (think billions) - Industrials: Up and down, check trends - REITs: Look at FFO (cash from properties), aim high - Energy: Has cash, but swings with oil prices - Healthcare: Steady cash, not too high Story: Netflix had negative FCF while scaling content. Once costs stabilized, FCF turned positive and stock re-rated sharply. Pro tip: Profits don’t mean much without real cash. FCF is often more honest. Cash is king: Companies need cash to pay bills, reduce debt, or fund growth. If FCF is falling, they might be burning through cash reserves or borrowing, which isn’t sustainable. Potential issues : This mismatch could signal problems like poor cash collection, heavy spending, or even accounting tricks to inflate profits. ----------------------------------------------------- 🚀 8. EPS Growth | Earnings Power What it tells you: How fast a company’s profits per share are growing. Short Example: EPS up 10% yearly means more profit per share, lifting stock prices. Flat EPS? No growth, no gains. Strong: Above 10% Caution: Below 5%, flat/negative for 3+ years Industry Averages: - Tech: 15–30% - Staples: 5–10% - REITs: 3–6% (via FFO growth) - Healthcare: 10–15% - Financials: 5–10% - Energy: 5–15% (cyclical) Story: In Q1 2024, NVIDIA’s forward EPS growth of 30% (tech average 20%+) fueled a rally as AI chips dominated. Checking forward estimates helped investors avoid traps like Intel, with flat EPS and a drop. Pro tip: A stock with flat EPS and no dividend? There’s no reason to own it. ----------------------------------------------------- 💵 9. Dividend Yield | Passive Income What it tells you: How much cash you get yearly from dividends per dollar invested. Short Example: A 3% yield means $3 per $100 invested. High yield? Check if it’s sustainable. Good: ~3–4% Red Flag: Above 6% with a payout ratio above 80-90% Industry Averages: - Utilities: 3–5% - REITs: 3–6% - Consumer Staples: 2–4% - Tech: 0–2% - Energy: 2–5% ----------------------------------------------------- 💡 Final Thought: How to Use All of This Top investors don’t use just one metric. They look at the whole picture: Good growth? Check PEG. Good profits? Confirm with ROE and margin. Safe balance sheet? Look at D/E and cash flow. Fair valuation? P/E + FCF Yield + P/B. Real power = Combining metrics. A company with P/E 15, PEG 0.8, ROE 20%, low debt, and positive FCF? That’s your winner. A stock with P/E 8, but no growth, high debt, and negative cash flow? That’s a trap. ----------------------------------------------------- Real-World Combos 🎯Winners: Tech Gem: P/E 20, PEG 0.8, ROE 25%, D/E 0.4, growing FCF, EPS 20%+ (e.g., NVIDIA 2023: AI-driven growth, stock soared). Energy Steal: P/E 15, P/B 1.5, FCF positive, Dividend Yield 3.5% (e.g., Chevron 2023: Cash flow king). ⚠️Traps: Value Trap: P/E 8, flat EPS, D/E 2.5, negative FCF (e.g., Peloton 2023). Overhyped Tech: P/E 50, PEG 3, Net Margin 5%, D/E 1.5 (e.g., Rivian 2024). ----------------------------------------------------- 🚀 Share your own combos! What do you personally look for when picking a stock? If you spotted something off in the numbers, or have a valuable insight to add — please, drop it in the comments.👇 💡 Let’s turn this into a thread that’s not just good but superb and genuinely helpful for everyone. ----------------------------------------------------- Final Thought “Buy great companies at fair prices, not fair companies at great prices.” – Warren Buffett This guide gives you the map. Charts, tell you when. These numbers tell you what, and why. And this post? It’s just the beginning! These 9 metrics are part one of a bigger series I’m building — where we’ll go even deeper, with more advanced ratios, smarter combos, and real case studies. If this guide helped you see financial numbers a little clearer, there’s a good chance it’ll help your investor friend too, especially if they’re just starting their journey...🤝Share it with them! I built this as much for myself as for anyone else who wants to get better.👊 If you made it this far — thank you! 🙏 ...and super thankful if you hit "The Boost" on this post 🚀 Cheers, Vaido
NASDAQ:TSLAEducation
by VaidoVeek
Serios Traders Trade Scenarios, Not Certaintes...If you only post on TradingView, you're lucky — moderation keeps discussions professional. But on other platforms, especially when you say the crypto market will fall, hate often knows no limits. Why? Because most people still confuse trading with cheering for their favorite coins. The truth is simple: 👉 Serious traders don't operate based on certainties. They work with living, flexible scenarios. In today's educational post, I'll show you exactly how that mindset works — using a real trade I opened on Solana (SOL). ________________________________________ The Trading Setup: Here’s the basic setup I’m working with: • First sell: Solana @ 150 SL (stop-loss): 175 TP (take-profit): 100 • Second sell: Solana @ 160 SL: 175 TP: 100 I won’t detail here why I believe the crypto market hasn’t reversed yet — that was already explained in a previous analysis. Today, the focus is how I prepare my mind for different outcomes, not sticking to a fixed idea. ________________________________________ The Main Scenarios: Scenario 1 – The Pessimistic One The first thing I assume when opening any position is that it could fail. In the worst case: Solana fills the second sell at 160 and goes straight to my stop-loss at 175. ✅ This is planned for. No drama, no surprise. ( Explained in detail in yesterday's educational post ) ________________________________________ Scenario 2 – Pessimistic but Manageable Solana fills the second sell at 160, then fluctuates between my entries and around 165. If I judge that it’s accumulation, not distribution, I will close the trade early, taking a small loss or at breakeven. ________________________________________ Scenario 3 – Mini-Optimistic Solana doesn’t even trigger the second sell. It starts to drop, but stalls around 120-125, an important support zone as we all saw lately. ✅ In this case, I secure the profit without waiting stubbornly for the 100 target. Important tactical adjustment: If Solana drops below 145 (a support level I monitor), I plan to remove the second sell and adjust the stop-loss on the initial position. ________________________________________ Scenario 4 – Moderately Optimistic Solana doesn’t fill the second order and drops cleanly to the 100 target. ✅ Full win, perfect scenario for the first trade ________________________________________ Scenario 5 – Optimistic but Flexible Solana fills the second sell at 160, then drops but gets stuck at 120-125(support that we spoken about) instead of reaching 100. ✅ Again, the plan is to close manually at support, taking solid profit instead of being greedy. ________________________________________ Scenario 6 – The Best Scenario Solana fills both sell orders and cleanly hits the 100 target. ✅ Maximum reward. ________________________________________ Why This Matters: Scenarios Keep You Rational. Certainties Make You Fragile. In trading, it's never about being "right" or "wrong." It's about having a clear plan for multiple outcomes. By thinking in terms of scenarios: • You're not emotionally attached to a single result. • You're prepared for losses and quick to secure wins. • You're flexible enough to adapt when new information appears. Meanwhile, traders who operate on certainties? They get blindsided, frustrated, and emotional every time the market doesn’t do exactly what they expected. 👉 Trading scenarios = trading professionally. 👉 Trading certainties = gambling with emotions. Plan your scenarios, manage your risk, and stay calm. That's the trader's way. 🚀
COINBASE:SOLUSDEducation
by Mihai_Iacob
Learn the Harsh Truth About Success & Failure in Trading The picture above completely represents the real nature of trading: We all came here because we all wanted easy money. Being attracted by catchy ads, portraying the guys on lambos, wearing guccies and living fancy lives, we jump into the game with high hopes of doubling our tiny initial trading accounts. However, the reality quickly kicks in and losing trades become the norm. The first trading account will most likely be blown . In just one single month, 40% of traders will be discouraged and abandon this game forever. The rest will realize the fact that the things are not that simple as they seemed to be and decide to start learning. The primary obstacle with trading education though is the fact that there are so much data out there, so many different materials, so many strategies and techniques to try, so the one feels completely lost . And on that stage, one plays the roulette: in the pile of dirt, he must find the approach that works . 80% of the traders, who stay after the first month, will leave in the next 2 years. Unfortunately, the majority won't be able to find a valid strategy and will quit believing that the entire system is the scam. After 5 years, the strongest will remain. The ones that are motivated and strong enough to face the failures. With such an experience, the majority of the traders already realize how the things work. They usually stuck around breakeven and winning trades start covering the losing ones. However, some minor, tiny component is still missing in their system. They should find something that prevents them from becoming consistently profitable. Only 1% of those who came in this game will finally discover the way to make money. These individuals will build a solid strategy, an approach that will work and that will let them become independent . That path is hard and long. And unfortunately, most of the people are not disciplined and motivated enough to keep going. Only the strongest ones will stay. I wish you to be the one with the iron discipline, titanic patience and nerves of steel. ❤️Please, support my work with like, thank you!❤️ I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
TRADENATION:XAUUSDEducation
by VasilyTrader
1
S&P 500: The Indicator to Watch Right NowWith US stocks bouncing on Trump’s backtracking over tariffs — just weeks after a 20% correction — it’s fair to say caution is the name of the game. Even though the headline risk has eased slightly, markets are still navigating through a fog of geopolitical noise and economic uncertainty. In moments like these, where the fundamental picture feels muddy at best, objective technical analysis can offer clarity — not crystal-ball predictions, but structure and focus. The Traditional Technical Backdrop Traditional technical analysis isn’t about magic lines on a chart — it’s about mapping out price behaviour with tools that help us stay grounded. Structural levels, trendlines, and a couple of moving averages might seem basic, but they’ve stood the test of time because they do something incredibly useful: they make sense of chaos. In the case of the S&P 500, several key structural levels should anchor any serious analysis. We’ve got the pre-sell-off highs from February, the April lows, and two interim levels — broken support levels that flipped to resistance during retracement rallies between February and April. These levels now act like milestones in the market’s memory. Drawing a downward-sloping trendline through the swing highs during the correction gives us a good sense of the broader downtrend. More recently, we’ve also started to see a modest uptrend emerge from the April lows. That creates something of a wedge formation — a narrowing range that’s coiling tighter as buyers and sellers battle it out. Simple moving averages like the 50-day and 200-day are useful additions here. While they’re lagging by nature, they give us immediate context for where price sits in relation to recent momentum and long-term sentiment. US500 Daily Candle Chart Past performance is not a reliable indicator of future results The Indicator to Watch There’s a good argument to be made that the most important indicator to watch right now, with the S&P 500 trying to claw back ground, isn’t a moving average or RSI — it’s Anchored VWAP. Anchored Volume-Weighted Average Price (VWAP) is one of the most effective ways to cut through the noise and see who’s really in control — buyers or sellers. It tells you the average price that traders have paid for the index, weighted by volume, since a specific event or turning point. And unlike regular VWAP that resets daily, Anchored VWAP lets us choose a significant date and track how price interacts with that “anchor.” If we anchor the VWAP to the February highs, we’re essentially tracking how the market has performed relative to that peak. This anchored VWAP line becomes a kind of gravity — it reflects the average cost basis of those who bought just before the sell-off. If price remains below it, it tells us those buyers are still underwater, and therefore less likely to add risk. Sellers, in that case, still hold the advantage. On the flip side, if we anchor VWAP to the April lows, we get the average cost basis of the recent bounce. This line reflects where more optimistic, bottom-fishing buyers stepped in. If price holds above this level, it suggests those participants remain in profit — and potentially willing to buy dips. Right now, the S&P 500 is stuck in a battle between these two anchored VWAP levels. One tracks the pain, the other tracks the hope. It’s a VWAP funnel, and it won’t last forever. Eventually, price will break above one and leave the other behind — and when it does, we’ll have an objective answer as to which side is winning. Will it be the late bears holding on from February’s highs, or the early bulls from the April lows? The answer is coming. Keep your eyes on the anchored VWAPs — they’re telling the real story. US500 Daily Candle Chart Past performance is not a reliable indicator of future results Disclaimer: This is for information and learning purposes only. The information provided does not constitute investment advice nor take into account the individual financial circumstances or objectives of any investor. Any information that may be provided relating to past performance is not a reliable indicator of future results or performance. Social media channels are not relevant for UK residents. Spread bets and CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 83% of retail investor accounts lose money when trading spread bets and CFDs with this provider. You should consider whether you understand how spread bets and CFDs work and whether you can afford to take the high risk of losing your money.
CAPITALCOM:US500Education
by Capitalcom
Technical Analysis Indicators Cheat SheetHello, traders! 🦾 This cheat sheet provides a comprehensive overview of the most widely used technical analysis indicators. It is designed to support traders in analyzing trends, momentum, volatility, and volume.  Below, you’ll find a handy screenshot of this Cheat Sheet that you can save and peek at whenever you need a quick, friendly refresher on your trading indicators. ;) 1. Trend Indicators These tools identify the direction and strength of price movements, critical for trend-following strategies. Moving Averages (MA) Simple Moving Average (SMA) and Exponential Moving Average (EMA) smooth price data to highlight trends. Crossovers (e.g., 50-day vs. 200-day MA) signal potential trend shifts.  MACD (Moving Average Convergence Divergence) – Tracks the difference between two EMAs, paired with a signal line to generate trade signals. A bullish crossover occurs when MACD rises above the signal line. Parabolic SAR. Places dots above or below the price to indicate trend direction. Dots below the price suggest an uptrend; above, a downtrend. ADX (Average Directional Index) Measures trend strength (0–100). Values above 25 confirm a robust trend; below 20 indicate consolidation. 2. Momentum Indicators (Oscillators) These indicators assess price movement speed and highlight overbought or oversold conditions. RSI (Relative Strength Index) Ranges from 0 to 100, with values above 70 indicating overbought conditions and below 30 indicating oversold. The divergence between the RSI and price can signal impending reversals. Stochastic Oscillator –Compares closing price to the price range over a period (0–100). Above 80 is overbought; below 20, oversold. %K and %D line crossovers provide precise trade signals. CCI (Commodity Channel Index) – Measures price deviation from its average. Readings above +100 indicate overbought; below -100, oversold.  Williams %R – Similar to Stochastic, it measures distance from the period’s high (0 to 100). Above -20 is overbought; below -80, oversold.  3. Volatility Indicators These tools quantify price fluctuation ranges to optimize trade timing. Bollinger Bands – Comprises a 20-day SMA and two bands (±2 standard deviations). Narrow bands reflect low volatility; wide bands indicate high volatility. A price touching the outer bands may signal a reversal or trend continuation, depending on the context. ATR (Average True Range) – Calculates the average price range over a period to gauge volatility. Higher ATR values denote greater market movement. 4. Volume Indicators Volume-based indicators validate price movements and highlight market participation. OBV (On-Balance Volume) – Cumulates volume to confirm price trends. The rising OBV, alongside rising prices, supports an uptrend. OBV divergence from price may foreshadow reversals. Volume Oscillator – Compares two volume moving averages to evaluate buying or selling pressure. Positive values suggest stronger buying. It typically confirms breakouts or assesses the sustainability of a trend. Chaikin Money Flow (CMF) – It analyzes money flow based on price and volume. Positive CMF indicates buying pressure; negative, selling pressure. 5. Other Key Indicators. Advanced Tools for Deeper Market Analysis. Ichimoku Cloud – Combines five lines and a “cloud” to assess trend, momentum, and support/resistance. Price above the cloud signals an uptrend; below, a downtrend. Cloud thickness reflects the strength of support or resistance levels. Fibonacci Retracement – Maps potential support and resistance using Fibonacci ratios (23.6%, 38.2%, 50%, 61.8%). Pivot Points – Derives support (S1, S2) and resistance (R1, R2) levels from the prior period’s high, low, and close.  Skills to Sharpen for Smarter Trading  Successful traders often find that combining indicators from different categories yields better results. For instance, pairing a trend-based EMA with a momentum indicator like RSI can help confirm signals more reliably — much like crafting the perfect coffee blend, where balance is everything. Many also realize that stacking similar tools, such as using both RSI and Stochastic, tends to clutter the picture rather than clarify it. A focused set of indicators usually proves more effective. Another common practice is backtesting setups on historical data to understand how strategies perform in specific markets and timeframes. It’s a way to rehearse before stepping onto the stage. Ultimately, those who see consistent results tend to integrate indicators into a coherent strategy rather than reacting to every signal. That clarity often makes all the difference Many of these indicators, from MACD to Bollinger Bands, are readily available on platforms like TradingView, making it easy to apply them to your charts. Subscribe and let us know which of these indicators intrigues you the most so we can explore it further in our next post! Good luck! 👏
Education
by WhiteBIT
How To Customize The 1 Minute Scalping IndicatorThis tutorial explains each setting of the 1 Minute Scalping Indicator in detail so you understand exactly how to adjust your settings to get the results you would like from the indicator. Here is a list of the details we discuss: How to fix loading errors Tooltips that explain each setting for your reference Trade modes and how they are affected by other settings Average candle size rejection parameters Higher timeframe candle filters, settings and levels External indicator trend filtering capabilities and how to set them up correctly Stoploss and take profit calculations and settings you can adjust Signal arrow customization options Candle coloring adjustments Visual/styling options Make sure to watch the whole video so you fully understand how each setting affects the indicator for best results.
CME_MINI:MNQ1!Education
by FriendOfTheTrend
1
How do I know if a day will be bullish?"Daily Bias" is one of the most asked questions by traders! You’ve probably heard someone say: “If only I knew where the candle would expand, I’d be rich!” Well, today I’m sharing a framework that can help you start answering that exact question. 🚶🏽‍♂️Walk with me as we break down the ES Futures Daily Candle for April 24, 2024. By the end of this video, you'll have a solid starting point to study and apply this method— #OneCandlestickAtATime
CME_MINI:MES1!Education
by MarketsByLee_
Option Insights – Trading the Greeks (Part 1 of 4): Delta Target# Option Insights – Trading the Greeks (Part 1 of 4) ## Delta Targeting Options are often utilized by traders as a leveraged tool, akin to generating lottery tickets. By selecting the appropriate expiration time and strike price, it's possible to achieve significant leverage on an underlying asset, potentially yielding high profits in percentage terms, albeit with a low probability of occurrence. However, trading options offers more than just directional bets on the underlying asset. Due to their dependence on various factors with distinct characteristics, option strategies enable flexible exposure management and innovative risk profiles. To fully exploit the potential of options, risk factors are quantified using the **Greeks** – Greek letters (not all of them) that assess the sensitivity of option prices to changes in different risk factors ("primary Greeks") or second-order effects ("secondary Greeks"). ### Primary Greeks: - **Delta** – sensitivity to changes in the underlying price - **Theta** – sensitivity to changes in time - **Vega** – sensitivity to changes in implied volatility - **Rho** – sensitivity to changes in interest rates ### Secondary Greeks: - **Gamma** – rate of change of Delta with respect to the underlying - **Vanna** – rate of change of Delta with respect to implied volatility - **Charm** – rate of change of Delta with respect to time - **Volga** – rate of change of Vega with respect to implied volatility For trading purposes, **Delta, Gamma, Theta, and Vega** are the most critical Greeks.\ They are depicted in the introductory graphs for Call Options, showing their behavior as a function of the underlying price across various levels of implied volatility. *(Graphs not shown here — you can add screenshots as image uploads if needed.)* --- ## Trading the Greeks: Delta The art of trading options is fundamentally the art of managing an option portfolio by **trading the Greeks**. For short-term options (from same-day expiration, or 0DTE, up to about three months), **Delta** is the dominant risk factor. The influence of other Greeks is limited to a narrow range around the strike price — this range becomes even narrower as expiration approaches. When managing an options position, **controlling Delta is the first and most critical step**. - Delta values range from 0% to 100% for long calls and short puts - From -100% to 0% for long puts and short calls - Delta represents the participation rate of an option in the underlying asset’s price movement Example:\ If an option has a Delta of 40% and the underlying asset moves by 10 points, the option’s price will typically move by approximately 4 points in the same direction. Delta can also be loosely interpreted as the **implied probability** that the option will expire in the money — though this is only an approximation. --- ## Delta-Neutral Strategy The most common Delta-targeting strategy is the **Delta-neutral strategy**. It aims to hedge the Delta of an options position by taking an **offsetting position in a Delta-1 instrument**. These instruments replicate the price movements of the underlying asset (e.g., the underlying itself, ETFs, futures, or CFDs). ### Example: - If an options position has a Delta of 40% and a notional exposure of 100 units - → Take a short position in 40 units of the underlying (or equivalent Delta-1 instrument) But:\ Delta is **not constant** — it evolves over time (**Charm**), with price changes (**Gamma**), and with changes in implied volatility (**Vanna**).\ This means the hedge must be **adjusted regularly** to maintain Delta neutrality. Adjustments are typically: - Made at discrete intervals (e.g., daily) - Or when Delta changes by a set amount (e.g., more than 5%) --- ## Delta Target Strategy (More General) The Delta-neutral strategy is a **specific case** of a broader **Delta target strategy**, where the Delta target is explicitly set to zero. ### Who uses Delta target strategies? - Option **market makers** to hedge inventory - Traders aiming to **isolate other risk factors** (e.g., volatility premium strategies like short strangles) These traders seek to: > **Capture the volatility premium** — the difference between implied volatility at entry and realized volatility after Delta target strategies with **non-zero targets** are used for managing portfolio-level risk when options are used alongside other instruments. --- ## Why Adjust Delta Target Strategies? The main reasons for adjusting: - **Gamma (convexity)**: Delta changes as the underlying moves - **Time decay**: - For OTM options: Delta decreases (calls), increases (puts) - For ITM options: Opposite behavior - **Changes in implied volatility or skew**: also affect Delta --- ## Coming Up Next: 📘 *Part 2: The Concept of Convexity and the Role of Gamma in Managing Delta Target Strategies* ---
TVC:SPXEducation
by parsifaltrading
Digital Asset Backed by Physical Gold: Gold ownership, redefined In today’s rapidly evolving financial landscape, PAX Gold (PAXG) stands out as a compelling fusion of traditional asset security and blockchain-enabled efficiency. As an asset-backed token, PAXG represents ownership of real, physical gold — specifically, one fine troy ounce of a London Good Delivery gold bar held in fully insured, professional vault facilities. What sets PAXG apart is its unique structure: anyone who holds the token has legal ownership rights to the underlying gold, which is securely managed under the custody of Paxos Trust Company — a regulated financial institution based in New York. This digital asset offers a number of powerful advantages: 🔹 Physical ownership meets digital flexibility PAXG gives investors the benefits of physical gold ownership with the speed, divisibility, and mobility of a blockchain-based token. Investors can hold fractional amounts of gold — something traditionally difficult or expensive to manage. 🔹 Efficient conversion and reduced settlement risk Through the Paxos platform, users can seamlessly convert between PAXG, allocated or unallocated gold, and fiat currency. This efficient process significantly reduces settlement risk compared to traditional gold markets. 🔹 Liquidity and accessibility PAXG is available for trading on Paxos’ itBit exchange and is also being integrated into a wide range of crypto exchanges, wallets, and DeFi platforms — expanding its reach and use cases within the digital asset ecosystem. 🔹 True market value Since PAXG is fully backed by physical gold, its price is tied directly to the real-time market value of gold. This provides a reliable hedge against market volatility and inflation while maintaining the flexibility of a tokenized asset. As the lines continue to blur between traditional finance and digital innovation, assets like PAX Gold are pioneering a new standard — one that merges trust, transparency, and technology. For investors seeking the security of gold and the utility of crypto, PAXG may just be the golden bridge.
KRAKEN:PAXGUSDEducation
by KuroHei
Navigating Trump Tariffs on the Dow JonesNavigating the movements of the **US30 (Dow Jones Industrial Average)** can be challenging, especially amid shifting economic policies. The Dow, which tracks 30 major U.S. companies, is highly sensitive to trade policies, corporate earnings, and geopolitical risks. Trump’s plan to impose **10% across-the-board tariffs** and **60%+ tariffs on Chinese goods** has sparked concerns about inflation, supply chain disruptions, and retaliatory trade measures. Investors are closely watching how these policies could impact multinational companies within the index, particularly those reliant on global trade, such as **Boeing, Apple, and Caterpillar**. For everyday Americans, higher tariffs could mean **rising prices on imported goods**, from electronics to household items, worsening inflation. While tariffs aim to protect domestic industries, they often lead to **higher production costs** for businesses that rely on foreign materials, potentially triggering job cuts or reduced consumer spending. The stock market’s reaction—volatility in the US30—reflects these uncertainties, as investors weigh the risks of slower growth against potential benefits for U.S. manufacturers. Traders navigating the US30 must monitor **Fed policy, corporate earnings, and trade war developments**. If tariffs escalate, defensive stocks (utilities, healthcare) may outperform, while industrials and tech could face pressure. Long-term investors might see dips as buying opportunities, but short-term traders should prepare for turbulence. Ultimately, Trump’s tariff policies could reshape market dynamics, making adaptability key for those trading the Dow.
FUSIONMARKETS:US30Education
by KeN-WeNzEl
Geld Vision Investing with values ​​— how ESG is changing More and more people today not only want to earn money, but also want to know where their money is going and what impact it is having . They want to invest in projects that are not only profitable, but also responsible and sustainable. This is precisely where the ESG investing approach comes into play—a concept in which returns and responsibility go hand in hand. We explain in a simple and understandable way what ESG means, how it works and why this approach will become increasingly important in 2025. What does ESG mean? ESG stands for three central principles: E — Environmental: Climate protection, CO₂ emissions, resource conservation, waste prevention S — Social: fair working conditions, human rights, diversity and inclusion G — Governance: Transparency, anti-corruption, ethical leadership Companies with high ESG ratings try to act responsibly towards people, the environment and society. Why invest in ESG? ESG investing combines ethical values ​​with economic rationality. The benefits are obvious: Fewer risks. Companies with clear ESG policies are less likely to experience scandals or legal problems. Long-term stability. Sustainable companies are more resilient to crises and more future-oriented. Good reputation. Companies with strong values ​​gain trust from customers and partners. Political support. More and more countries are promoting sustainable economic activity. The platform allows users to specifically search for ESG-compliant companies and funds and track their development. ESG and returns – contradiction or win-win? A common misconception: Companies that operate sustainably earn less. In fact, the opposite is often true. Numerous studies show that ESG companies perform better in the long term because they: be managed more efficiently, respond better to crises, Attract investors and talent more strongly, be on the safe side from a regulatory perspective. Sustainability and profit are not mutually exclusive – they complement each other. How do I get started with ESG investing? Clarify your own values. What's important to you? The environment, fair working conditions, equality? Analyze companies. Many companies publish ESG reports that provide information about their goals and progress. ESG funds are reviewed. These funds pool audited companies with good ESG ratings. Review performance regularly. ESG is not a fad, but a long-term approach with measurable results. GeldVision offers tools that allow you to filter, analyze, and incorporate ESG data into your investment strategy. In which industries does ESG play a major role? Renewable energies — solar, wind, hydrogen Sustainable consumption — environmentally friendly packaging, recycling Technology and digitalization — inclusive and ethically managed companies Education and health — socially relevant sectors with great impact FinTech — Platforms that make investing more transparent and fairer The ESG approach can be applied across industries—it is not a trend, but a new way of thinking. Who relies on ESG? Young investors. Generation Z and Millennials value values. Large investment funds. ESG is an integral part of their strategy. Private investors. People who want to make a positive impact with their money. So ESG is no longer just for idealists — it has become mainstream . What does Money Vision offer? The platform helps users invest with a clear conscience. It offers: Access to ESG rankings and sustainability data Filters for targeted investment decisions Market analyses on green and social trends Support in building a balanced portfolio Whether you’re a beginner or a professional, Geld Vision makes sustainable investing easier and more transparent. ESG investing is more than just a trend. It's a new, future-oriented perspective on money, markets, and responsibility. You can invest today without betraying your values —and still achieve attractive returns. With the right knowledge, the right tools, and platforms like Geld Vision, sustainable investing becomes a true success model. Because investing responsibly means making profits while contributing to a better world.
BITSTAMP:BTCUSDEducation
by HCN-News12
Russia-Ukraine Peace Agreement what could it mean to forex!A peace agreement between Russia and Ukraine could send ripples through the Forex and Commodities markets. Here's how major assets might react: 📊 Key Market Shifts to Watch: ✅ Risk-On Sentiment Returns Traders may rotate out of safe havens like USD, JPY, CHF, and Gold. Risk currencies like AUD, NZD, and emerging market currencies could strengthen. ✅ Euro Strength Likely (EUR ↑) Europe gains the most relief → energy prices fall, inflation cools, confidence grows. ✅ Oil & Energy Prices May Drop Peace reduces supply fears → crude oil and gas prices could fall → impacting CAD, NOK, RUB. 🔀 Likely Forex Movements: 🔼 Pairs Likely to Rise 💡 Reason EUR/USD Euro up on peace; USD weakens as fear fades. AUD/JPY Aussie rises on risk appetite; Yen weakens. EUR/JPY Similar to AUD/JPY—EUR gains, JPY loses. NZD/JPY Risk-on favors NZD; JPY drops. EUR/CHF Swiss Franc weakens; Euro benefits. USD/ZAR (falls) Rand strengthens on global optimism. 🔽 Pairs Likely to Fall 💡 Reason USD/JPY USD and JPY both weaken, but USD may drop more. USD/CHF Same story—less demand for safe havens. USD/RUB Ruble recovery if sanctions ease. CAD/JPY Oil-sensitive CAD may dip slightly 🟡 What About Commodities Like Gold? (XAU/USD) ⬇️ Gold Likely to Fall As a traditional safe-haven, Gold (XAU/USD) tends to rise during geopolitical turmoil. Peace = lower fear = investors rotate out of Gold into riskier, yield-bearing assets. Lower inflation expectations could also reduce demand for Gold as an inflation hedge. 🧠 Key Level Watch: If peace is confirmed, XAU/USD could drop below key support zones, especially if USD strengthens slightly on rate differentials. 🔍 Final Thoughts: The magnitude of these moves depends on the terms and credibility of the peace deal. If it includes sanctions relief and long-term commitments, expect larger market reactions. Stay alert for central bank policy shifts, especially if inflation drops. 💬 What pairs or commodities are you watching if peace becomes a reality? Drop your insights below! 📌 Follow me for more macro-FX breakdowns, commodities analysis, and trading insights.
Education
by AmaWina
Option Insights – Trading the Greeks Part 3 of 4: Gamma ScalpingOption Insights – Trading the Greeks Part 3 of 4: Gamma Scalping Gamma Scalping is a trading strategy that combines long option positions with a hedging position in the underlying asset to isolate and profit from the convexity of options. It is essentially a non-directional swing trading strategy that aims to capture price swings—regardless of direction—by neutralizing the linear component of option value changes and focusing on the convexity gains. ________________________________________ How It Works Gamma Scalping begins by purchasing a single option or a strangle, and simultaneously entering a hedging position in the underlying to achieve Delta neutrality (the "Delta hedge"). The strategy then waits for a swing in the underlying price in either direction. Because of the long Gamma position, the position’s value is a convex function of the underlying price. This means that the position will either: • Gain more than the Delta hedge in a favorable move, or • Lose less in an adverse move. The combined position becomes profitable as the underlying moves, regardless of direction. The linear component of the option’s value change—driven by Delta—is hedged, so any residual profit comes from the convexity, i.e., the Gamma. To realize this convexity profit, the Delta hedge is re-adjusted after the swing has played out. In other words, after the market appears to have reached a turning point, the position is brought back to Delta neutral. The optimal adjustment points are at the sequential peaks and troughs of the market. Rebalancing at intermediate points captures some convexity value, but typically less than adjusting only at clear turning points. This is illustrated in the two subcharts of the introductory chart. ________________________________________ How Does Gamma Scalping Make Money? The change in the value of an option due to a change in the underlying price is approximately the sum of the Delta-weighted change in the underlying (the linear portion) plus a Gamma-weighted convexity component (convexity portion). • The linear portion is hedged by the underlying. • The convexity portion remains and represents the profit opportunity. While the convexity component is typically smaller than the potential linear gain, it is always positive—unlike the linear term, which is only profitable when the direction is predicted correctly. ________________________________________ What’s Being Traded? Gamma scalping involves adjusting the hedging position—not the options—at perceived turning points in price swings. The options position is kept intact as long as it maintains sufficient Gamma to deliver meaningful convexity. Even in volatile markets that demand frequent trading, all activity is confined to the underlying, which tends to be liquid and low-cost to trade. Once the option’s Gamma decays significantly, the entire position (options + hedge) may be reset to “refresh” the Gamma exposure. ________________________________________ What’s the Catch? The convexity value isn’t free—it comes at the cost of time value decay, as measured by Theta. If Delta neutrality isn’t re-established promptly during a swing, even a brief counter-move in the underlying can erode the accumulated convexity gains due to time decay. Gamma scalping thus becomes a race between capturing convexity and losing value to Theta. The key challenge lies in timing: • Too early: Frequent adjustments reduce overall convexity capture. • Too late: Time decay eats into the gains. • Too slow: As expiration approaches, the range in which sufficient Gamma exists narrows, shrinking the window of opportunity. Despite these challenges, Gamma scalping offers an appealing alternative to traditional directional swing trading, with a more nuanced risk profile. However, it does require experience in managing Theta—especially with short-dated options. ________________________________________ Is Gamma Scalping the Opposite of Time Value Trading? In a way, yes, but not quite. Time value trading involves selling options and Delta hedging them—such as in volatility premium strategies (e.g., selling index strangles). These traders aim to minimize realized volatility and capture the decay of implied volatility. By contrast, Gamma scalping buys options and seeks to maximize realized volatility—through the trader’s own hedging actions. The subtle differences in hedge execution distinguish these two approaches. This contrast—and what it means to minimize or maximize realized volatility in a hedging strategy as well as time value trading itself—will be explored in more depth in Part 4 of the “Options Insights – Trading the Greeks” series. ________________________________________ Coming Up Next: 📘 Part 4: Time Value Trading and Volatility Premium by parsifaltrading
TVC:SPXEducation
by parsifaltrading
Why Should You Care About ER?🚀 Hey Traders! Have You Ever Felt Lost in the Chaos of Market Fluctuations? What if I told you there’s a powerful tool that can help you cut through the noise and give you a statistical edge to predict SUPPORT and RESISTANCE movements with confidence? Let me take 5 minutes of your time to introduce you to something that could transform your trading game: Expected Range Volatility (ER) . What is Expected Range Volatility (ER)? The Expected Range (ER) is a framework that helps traders understand how much an asset is likely to move within a specific timeframe. Based on CME market data and Nobel Prize-winning calculations, price movements within the expected volatility corridor have a 68% probability of staying within those boundaries. 💡 Key Insight: When the price approaching certain levels, there’s a 68% chance the price won’t break through those boundaries. This means you can use ER as a powerful filter to identify more precise entry and exit points for your trades. Why Should You Care About ER? When I first discovered the ER tool, it felt like stumbling upon a gold mine in the trading world. Here’s why: It’s free and available on the CME exchange’s website. It’s underutilized —95% of traders don’t even know it exists. It provides statistical clarity in a world full of uncertainty. I remember the first time I used ER in my analysis—it completely changed the way I approached intraday trading. Now, I never make a trade without checking the ER data. It’s become an essential part of my strategy. How to Use ER in Your Trading 1️⃣ Input the Data: Head over to the CME website, plug in the necessary parameters, and get your ER values. 2️⃣ Set Boundaries: Use the ER range as a guide to set potential support and resistance levels. 3️⃣ Filter Trades: Only take trades that align with the ER framework to improve your precision. A recent example is the Japanese yen futures market. Don't be confused by the fact that we take futures levels, it can easily be plotted on a spot chart for forex market (the dollar/yen). Limitations to Keep in Mind While ER is a powerful tool, it’s not a crystal ball. Here are some limitations: Market Dynamics: Short-term price movements can be unpredictable due to sentiment, news, or economic events. ER provides a statistical estimate, but it doesn’t guarantee outcomes. Assumptions: The formula assumes price movements follow a log-normal distribution , which may not hold true in all market conditions. Your Turn: Are You Using ER in Your Strategy? 💭 Here’s the million-dollar question: Are you leveraging the power of Expected Range Volatility in your trading? If not, why not start today? 💬 Share your thoughts in the comments below: Do you currently use ER or similar statistical tools? Want to Dive Deeper? If you’re ready to take your trading to the next level, don’t miss out on our all-in-one resource designed to help you master tools like ER and other valuable sources to gain market edge! 🔥 Remember: No Valuable Data = No Edge!
Education
by ClashChartsTeam
Option Insights – Trading the Greeks (Part 2 of 4):Gamma Effects# Option Insights – Trading the Greeks (Part 2 of 4) ## Option Convexity and Gamma Effects ### Gamma – The Convexity of Options Gamma measures how much the Delta of an option changes in response to movements in the underlying asset’s price. Mathematically, it is the second derivative of the option’s value with respect to the price of the underlying. In simpler terms, Gamma quantifies the curvature—or convexity—of the option’s price sensitivity. - Positive Gamma: Accelerating Delta as the underlying moves. - Negative Gamma: Decelerating Delta as the underlying moves. This convexity becomes especially important for traders managing exposure. A directional trader might seek: - Positive Gamma near anticipated breakouts to increase exposure during favorable moves. - Negative Gamma in areas where they want to taper exposure, such as in covered call setups (where the short call reduces gains as price rises). --- ## Gamma and Delta Hedging Traders who Delta hedge their option positions using the underlying (or a Delta-1 instrument) face the reality of nonlinearity: Delta changes as the market moves, and Gamma determines how fast. In practice, this means hedgers must adjust frequently to maintain a neutral Delta—Gamma tells them how often and how aggressively. --- ## Hedging a Position with Positive Gamma When hedging and holding positive Gamma: - If the underlying price rises → Delta increases → Sell the underlying. - If the underlying price falls → Delta decreases → Buy the underlying. This results in countercyclical trading, i.e., trading against the market trend. **Advantages:** - Potentially dampens volatility. - Allows for limit order execution (e.g., sell at offer when price rises), capturing bid-offer spreads. - Automated or semi-automated setups possible. --- ## Hedging a Position with Negative Gamma With hedging and holding negative Gamma, the adjustments are procyclical: - Price rises → Delta drops → Buy more underlying. - Price falls → Delta rises → Sell more underlying. **This means:** - You're chasing the market, increasing exposure in the direction of the move. - You likely cross the spread to ensure execution (lifting the offer or hitting the bid). - This behavior tends to amplify volatility and incurs transaction costs. --- ## Summary: Gamma's Impact on Hedging - Long Gamma → Hedge countercyclically, dampen market movements, and potentially profit from spreads. - Short Gamma → Hedge pro-cyclically, amplify market movements, and pay the spread. This distinction underscores a critical point: hedging Delta is not just about neutralizing exposure—it’s about managing how that exposure evolves, which is precisely what Gamma represents. --- ## Can You Hedge Delta Without Gamma Risk? **In theory?** Yes. **In practice?** Not really. Hedging an option (a nonlinear instrument) with the underlying (a linear one) means you’re using a linear approximation of a curved payoff structure. This hedge is only locally accurate—it must be rebalanced frequently to remain effective. While it’s theoretically possible to hedge both Delta and Gamma using other options, this introduces complexity: - Other Greeks (like Theta and Vega) enter the equation. - Option hedges are often illiquid, expensive, or difficult to scale. For most traders, hedging Delta with the underlying remains the simplest, most liquid, and most cost-effective approach—despite the need for Gamma-based adjustments. --- ## Gamma Trading & Gamma Scalping Even in non-directional strategies, Gamma has value. Gamma scalping involves actively trading the underlying around an options position to exploit short-term price swings: - You buy low and sell high as the underlying fluctuates, - Profiting from volatility, not direction. This is a powerful technique for monetizing Gamma, particularly when implied volatility is elevated relative to realized moves. --- ## Coming Up Next: 📘 Part 3: Gamma Scalping – Monetizing Convexity Through Active Hedging by parsifaltrading
TVC:SPXEducation
by parsifaltrading
What is ICT FVG ? – ICT Fair Value Gap Explained Step by Step !ICT FVG knowns as Fair Value Gap, is a three-candle formation having an un-retraced area between the high and low of 1st and 3rd candlestick. A fair value gap is indicated by an imbalance and it acts as a level of support and resistance in the price chart. This blog post will teach you all about the ICT FVG from their formation to identification and their use in trading. You can jump to the section you are most interested in from below or can continue reading the whole article for better understanding. Table of Contents What is ICT FVG (Fair Value Gap)? How to Identify an ICT Fair Value Gap? Types of ICT FVG (I) Bullish Fair Value Gap (II) Bearish Fair Value Gap ICT FVG Trading Strategy Best Time Frame for ICT FVG Identification Best Pair for ICT FVG Trading Final Thoughts What is ICT FVG (Fair Value Gap)? ICT fair value gap is a three-candle structure indicating a gap between the high and low of 1st and 3rd candlestick. The gap between three candles is created because price does not retrace in that area and leaves it open. You can see the example of ICT FVG in the picture below : ICT FVG acts as a magnet for price and price retrace back to the fair value gap to balance the price delivery. After retracing to the FVG price then reverses and continues its trend . How to Identify an ICT Fair Value Gap ? To identify an ICT FVG, you need to look for a large candlestick with most body range. After identifying the large candlestick, mark the high of candlestick prior to the large candle and low of the subsequent candlestick . There will be a visible gap between the high and low of the two candlesticks which indicate the ICT fair value gap . Types of ICT FVG On the basis of price move the ICT FVG has two types which are explained below : (I) Bullish Fair Value Gap A bullish fair value gap in ICT terms appears during an uptrend with a three-candle pattern. It happens when the middle candle has a large body , leaving a gap between the high of the first candle and the low of the third candle . In an uptrend , a fair value gap can serve as strong support, with the price often retracing to fill the gap before moving higher . You can see the example of bullish fair value gap in the picture below : (II) Bearish Fair Value Gap A bearish fair value gap appears in a downtrend within a three-candle pattern. It forms when the middle candle has a large body, creating a gap between the low of the first candle and the high of the third candle . In bearish trend a fair value gap can act as a good resistance and mostly price tends to fill this gap before moving lower . You can see the example of bearish fair value gap in the picture below . ICT FVG Trading Strategy To trade using an ICT fair value gap, you need to go through below steps. Step 1 – Determine Market Trend: First of all we need to identify the market trend of any asset whether it is bullish or bearish. You can use ICT Daily Bias to anticipate the direction of price move. In bullish trend price makes higher highs and higher lows, while in bearish trend price makes lower lows and lower highs Step 2 – Identify Premium and Discount Zone: You would be looking for the premium fair value gap in bearish trend, while in bullish trend you would be looking for discount FVG. Step 3 – Identify Large Candle:Once you have determined the trend, next step is to find a large candle with large body & small wicks. If market is in bullish trend, we look for strong bullish candle with most body range while in bearish trend we look for large bearish candle with most body range. Step 4 – Study Preceding & Proceeding Candles: Once you have identified one large candle, now study the one candle before it & the one candle after it. Both of these candles should have such a structure that their bodies should not overlap the body of middle candle thus confirming a fair value gap between the wicks of first & third candle. Step 4 – Mark Fair Value Gap: In bullish trend the gap between the high of first candle and the low of third candle. While in bearish trend the gap between the low of first candle and the high of third candle will be marked as your fair value gap. Step 6 – Execute the Trade: If the price is in bullish trend, we will wait for price to retrace and test the discount fair value gap to balance the move. When price tests the discount fair value gap you can execute a buy trade with other technical confirmations like rejection or structure shift in lower time frame. In the picture given below you can see price is in bullish trend making higher highs and higher lows. It retraces back to test the fair value gaps and rejects from the fair value gaps, eventually going higher. In a bearish trend, you would wait for the price to retrace up and test the premium fair value gap to balance the bearish price delivery. When the price visits this gap, it can offer sell opportunities, especially when combined with additional confirmations like rejection or a shift in market structure. In the image below, the market is in a downtrend, forming lower highs and lower lows. It repeatedly tests bearish fair value gaps and rejects from these levels, leading to further price declines. Best Time Frame for ICT FVG Identification ICT FVG can serve different purpose, like it can be used as a tool to find the Daily Bias using higher timeframe like 1-Day. But if you are using the fair value gap as a PD Array to find trade entry then you would be looking for a fair value gap in lower timeframes like 15-Minutes or lower than that. Best Pair for ICT FVG Trading Initially the ICT introduced the fair value gap using the index trading like Nasdaq and S&P-500 and it yielded best results in that market. After that he demonstrated some examples of forex pairs using the FVG and it was equally good for that market too. So, now a days ICT FVG serve as a key tool for traders in every market. Final Thoughts While trading using a fair value gap we should keep in mind that every fair value gap in the market is not tradeable , to trade using fair value gap, we should use it in conjugation with other strategies like demand & supply or support & resistance . At these levels fair value gaps can act as a more reliable tool to take a trade. You can also check this article how traders use fair value gap to open the right trade. Plus to mitigate your risks, you should always trade with stop loss in place as no strategy is foolproof in trading.
FX:XAUUSDEducation
by InnerCircleAnalysis
Real Success Rates of the Falling Wedge in TradingReal Success Rates of the Falling Wedge in Trading The falling wedge is a chart pattern highly valued by traders for its potential for bullish reversals after a bearish or consolidation phase. Its effectiveness has been extensively studied and documented by various technical analysts and leading authors. Key Statistics Bullish Exit: In 82% of cases, the exit from the falling wedge is upward, making it one of the most reliable patterns for anticipating a positive reversal. Price Target Achieved: The pattern's theoretical target (calculated by plotting the height of the wedge at the breakout point) is achieved in approximately 63% to 88% of cases, depending on the source, demonstrating a high success rate for profit-taking. Trend Reversal: In 55% to 68% of cases, the falling wedge acts as a reversal pattern, signaling the end of a downtrend and the beginning of a new bullish phase. Pullback: After the breakout, a pullback (return to the resistance line) occurs in approximately 53% to 56% of cases, which can provide a second entry opportunity but tends to reduce the pattern's overall performance. False Breakouts: False exits represent between 10% and 27% of cases. However, a false bullish breakout only results in a true bearish breakout in 3% of cases, making the bullish signal particularly robust. Performance and Context Bull Market: The pattern performs particularly well when it appears during a corrective phase of an uptrend, with a profit target reached in 70% of cases within three months. Gain Potential: The maximum gain potential can reach 32% in half of cases during a bullish breakout, according to statistical studies on equity markets. Formation Time: The wider the wedge and the steeper the trend lines, the faster and more violent the post-breakout upward movement will be. Comparative Summary of Success Rates: Criteria Rate Observed Frequency Bullish Exit 82% Price Target Achieved 63% to 88% Reversal Pattern 55% to 68% Pullback After Breakout 53% to 56% False Breakouts (False Exits) 10% to 27% Bullish False Breakouts Leading to a Downside 3% Points of Attention The falling wedge is a rare and difficult pattern to correctly identify, requiring at least five contact points to be valid. Performance is best when the breakout occurs around 60% of the pattern's length and when volume increases at the time of the breakout. Pullbacks, although frequent, tend to weaken the initial bullish momentum. Conclusion The falling wedge has a remarkable success rate, with more than 8 out of 10 cases resulting in a bullish exit and a price target being reached in the majority of cases. However, it remains essential to validate the pattern with other technical signals (volume, momentum) and to remain vigilant against false breakouts, even if their rate is relatively low. When mastered, this pattern proves to be a valuable tool for traders looking for optimized entry points on bullish reversals.
COINBASE:BTCUSDEducation
by Le-Loup-de-Zurich
5
Why All You Need Is the Chart: Let the Market Speak FirstYou missed the news? Doesn’t matter. The chart already heard it for you. ________________________________________ 1. The Myth of Being “Informed” Modern traders feel pressured to be constantly plugged in: • Twitter alerts • Trump’s latest outburst • CNBC headlines It feels like you’re missing out if you’re not watching everything. But here’s the truth: By the time you read the news, the market already priced it in. Being "informed" doesn’t make you early . It usually makes you late . ________________________________________ 2. The Chart Already Knows Imagine a bullish surprise in the economy. You didn’t catch it live. But when you open your chart, you see this: 📈 A bullish engulfing candle bouncing cleanly off major support. That’s all you need. That’s your trade. You don’t need to know why it happened. The chart speaks last. And the chart speaks loudest. ________________________________________ 3. Price Is the Final Judge All the noise — opinions, reports, breaking headlines — flows into a single output: price. • Economic collapse? The chart shows a break. • Political turmoil? Price still rejects resistance. Price is truth. Instead of asking: " What happened? ", start asking: " What is price doing? " ________________________________________ 4. Real-Life Analogy You don’t need to read the newspaper to know it’s raining. Just look out the window. 🌧️ Same with trading. Just look at the chart. The price is your weather forecast. React to that. Not to noise. ________________________________________ 5. What to Do Instead of Watching News: • Draw clean support/resistance levels • Wait for real confirmation (engulfings, breakouts, rejections) • Manage risk — always • Be patient. Let the market show its hand ________________________________________ Final Thought: If something important happened, you’ll see it on the chart. You don’t need 10 sources. You don’t need speed. You need clarity. Let the chart speak. It knows more than the news ever will.
Education
by Mihai_Iacob
2
What Is the Advance-Decline (A/D) Line, and How Can You Use ItWhat Is the Advance-Decline (A/D) Line, and How Can You Use It in Trading? The Advance-Decline (A/D) Line is a widely used market breadth indicator that provides insights into the strength of trends by tracking advancing and declining stocks. Popular among traders analysing indices like the NASDAQ, it helps identify broad participation or hidden divergences. This article explores how this indicator works and its role in effective market analysis. What Is the Advance-Decline Line? The Advance-Decline (A/D) line, also known as the Advance-Decline Index, is a popular market breadth indicator used to gauge the overall health of a market's movement. Instead of focusing solely on price changes in an index, it analyses how many stocks are participating in the market's rise or fall. This makes it particularly useful for traders looking to understand whether a trend is supported by widespread participation or driven by just a handful of stocks. The indicator can be set up based on stocks on different exchanges. For example, a NYSE Advance-Decline line provides insights into NYSE-listed stocks. However, it can be applied to any index or exchange, resulting in the Nasdaq Advance-Decline line or a line based on stocks listed in the UK, Australia, Europe, or Japan. At its core, the A/D line is a cumulative measure of the net advances of stocks on a given day. The calculation is as follows: 1. Count the number of advancing stocks (those that closed higher than their previous close). 2. Count the number of declining stocks (those that closed lower than their previous close). 3. Subtract the number of declining stocks from the advancing stocks to get the net advance. 4. Add this net advance to the previous day’s A/D line value. Formally, the Advance-Decline line formula is: Net Advances = Advancing Stocks − Declining Stocks Current A/D Line Value = Previous A/D Line Value + Net Advances For example, if 500 stocks advanced and 300 declined on a given day, the net advance would be +200. If yesterday’s A/D Line value was 10,000, today’s value would be 10,200. Over time, these daily values form a line that tracks the cumulative net advances. The indicator provides insights into sentiment. A rising line indicates more advancing stocks than declining ones, while a falling line suggests the opposite. Traders often use this data to determine whether a price trend in an index reflects broad strength or is being carried by a few heavyweights. Understanding Market Breadth Market breadth measures the extent to which individual assets are contributing to a market's overall movement, providing a clearer picture of the strength or weakness behind trends. Rather than relying solely on an index's price performance, breadth gives traders insights into how widespread participation is within a rally or decline. This information is crucial for understanding whether market moves are broad-based or concentrated in a few influential assets. A market with a strong breadth typically sees most stocks or assets moving in the same direction as the overall trend. For example, during a rally, broad participation—where a large percentage of assets are advancing—signals a robust and healthy trend. Conversely, weak breadth occurs when only a small group of assets drives the movement, potentially indicating fragility in the trend. This is especially important in large indices where a few heavily weighted assets can mask underlying weaknesses. How Traders Use the A/D Line The A/D Line is more than just a market breadth indicator—it’s a practical tool traders use to gain insight into the strength and sustainability of trends. By analysing how the indicator behaves in relation to price movements, traders can uncover potential hidden opportunities and spot potential risks. Let’s consider how the Advance-Decline line behaves on a price chart. Identifying Trend Strength One of the A/D Line’s key uses is evaluating the strength of a market move by examining overall participation. When both the A/D Line and an index rise together, it suggests widespread buying activity, with most stocks contributing to the rally. Similarly, if both the index and the A/D Line decline, it often reflects broad-based selling, indicating that weakness is widespread across the market rather than concentrated in a few assets. Spotting Divergences Divergences between the A/D line and price are closely watched by traders. For instance, if an index continues to rise but the A/D line starts declining, it could signal that the trend is losing momentum. Conversely, when it begins rising ahead of a price recovery, it may suggest underlying strength before it becomes apparent in price action. Complementing Other Indicators Traders often pair the A/D line with other tools to refine their analysis. For example, combining it with moving averages or oscillators like RSI can help confirm signals or highlight discrepancies. A rising A/D line alongside RSI rising above 50 might reinforce the possibility of a price rise. Strengths of the A/D Line The A/D line is a widely respected tool for understanding market dynamics, offering insights that price-based analysis alone can’t provide. Its ability to measure participation across a broad range makes it especially valuable for traders looking to assess sentiment and trend reliability. Let’s explore some of its key strengths. Broad Market Perspective The A/D line captures the performance of all advancing and declining stocks within an index, offering a comprehensive view of how much support a trend has. Instead of focusing solely on a handful of large caps that often dominate indices, the indicator reveals whether the majority are moving in the same direction. This helps traders gauge the true strength of a rally or decline. Early Warnings of Weakness or Strength Divergences between the A/D line and the price can act as an early signal of potential changes in momentum. When the A/D Line deviates from the overall trend, it can highlight areas where market participation is inconsistent. This allows traders to assess whether a trend is gaining or losing support across a broad range of assets, offering clues about potential shifts before they fully materialise in price action. Applicability Across Markets Another strength is its versatility. The A/D line can be applied to indices, sectors, or even individual markets, making it useful across various trading strategies. Whether monitoring a broad index like the S&P 500 or a specific sector, the indicator can be adapted to provide valuable insights. Limitations of the A/D Line While the A/D line is a useful tool for analysing breadth, it isn’t without its limitations. Traders need to understand its drawbacks to use it effectively and avoid potential misinterpretations. Here are some of the key challenges to consider. Ignores Stock Weighting One major limitation is that the A/D index gives equal weight to every stock, regardless of size or market capitalisation. In indices like the S&P 500, where a small number of large-cap stocks often drive performance, this can create a disconnect. For example, a large-cap stock’s strong performance might lift an index while the indicator shows weakness due to low-caps underperforming. Vulnerability to Noise The index can produce misleading signals in certain conditions, such as during periods of low trading volume or heightened volatility. Market anomalies, such as large fluctuations in a small number of stocks, can skew the indicator and make it less reliable. This can be especially problematic in thinly traded assets or at times of high speculation. Not a Standalone Indicator The A/D line is combined with other tools. On its own, it doesn’t account for factors like momentum, valuation, or sentiment, which can provide critical context. Traders relying solely on it may miss out on key details or overemphasise its signals. Comparing the A/D Line with Other Market Breadth Indicators The A/D Line is a powerful tool, but it’s not the only market breadth indicator traders use. By understanding how it compares to other indicators, traders can select the one that suits their analysis needs or combine them for a more comprehensive view. A/D Line vs Advance-Decline Ratio The A/D Ratio measures the proportion of advancing to declining stocks. While the A/D line provides a cumulative value over time, the ratio offers a snapshot of market breadth for a single trading day. The A/D Ratio is often better for identifying short-term overbought or oversold conditions, whereas the A/D line excels at tracking long-term trends. A/D Line vs McClellan Oscillator The McClellan Oscillator uses the same advancing and declining stock data but applies exponential moving averages to calculate its value. This approach makes the McClellan Oscillator more sensitive to recent market changes, allowing it to highlight turning points more quickly than the A/D line. However, the A/D line’s simplicity and cumulative nature make it more straightforward to interpret for broader trend analysis. A/D Line vs Percentage of Stocks Above Moving Averages This indicator tracks the percentage of stocks trading above specific moving averages, such as the 50-day or 200-day. While the A/D line focuses on daily advances and declines, the moving average approach highlights whether stocks are maintaining longer-term momentum. The A/D line provides a broader perspective on participation, whereas this indicator zeros in on sustained trends. The Bottom Line The Advance-Decline line is a valuable tool for traders seeking deeper insights into market trends. By analysing market breadth, it helps identify potential opportunities and risks beyond price movements alone. FAQ What Is the Meaning of Advance-Decline? Advance-decline refers to the difference between the number of advancing stocks (those that closed higher) and declining stocks (those that closed lower) on a specific trading day. It’s commonly used in market breadth indicators like the NYSE Advance-Decline line to measure the overall strength or weakness of the market. How to Find Advance-Decline Ratio? The Advance-Decline ratio compares advancing stocks to declining stocks in an index. It is calculated by dividing the number of advancing stocks by the number of declining stocks. How to Use an Advance-Decline Line Indicator? The A/D line indicator tracks the cumulative difference between advancing and declining stocks. Traders analyse its movement alongside price trends to assess market participation. For example, divergence between the A/D line and an index price direction can signal potential changes in momentum. What Is the Advance-Decline Indicator Strategy? Traders use the Advance-Decline indicator to analyse market breadth, identify divergences, and confirm trends. For example, a rising A/D line with an index suggests broad participation, while divergence may signal weakening trends. 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.
FXOPEN:SPXMEducation
by FXOpen
1
How To Filter Signals On The 1 Minute Scalping IndicatorThis tutorial shows you how to use external indicators to filter out signals on the 1 Minute Scalping Indicator so that you only get signals that are in the direction of the trend. Step By Step Process: 1. Pick an external indicator that provides an output value of 1 for bullish, -1 for bearish or 0 for neutral and add it to your chart. We have multiple indicators that can do this, but you can also customize your own indicators to provide this value and use that to filter out signals. 2. Set your desired trend parameters on your external indicator and make sure that indicator is on the same chart as the 1 Minute Scalping Indicator. 3. Go to the indicator settings for the 1 Minute Scalping Indicator and turn on one of the 3 available External Indicator Filters. Then from the dropdown menu, select the external indicator you want to use and make sure to choose the output value that gives the 1, -1 or 0 output for trends. Our indicators will have an output titled "Trend Direction To Send To External Indicators" to make that value easy to find in the dropdown menus. That's it! Let the 1 Minute Scalping Indicator reload with the external indicator trend values and it will only show buy signals during bullish trends, only show sell signals during bearish trends or no signals during neutral markets. Make sure to back test your setup until you find the best external indicators and settings to use that work best for your trading style and then apply that setup to any chart you would like. Here is the code you can use to add a trend value to your own custom indicators and send it to the 1 Minute Scalping Indicator: trendDirection = 0 if close > ema1 trendDirection := 1 else if close < ema1 trendDirection := -1 else trendDirection := 0 plot(trendDirection, title="Trend Direction To Send To External Indicators", color=#00000000, display=display.data_window) Change the (close > ema1) and (close < ema1) to use your own variables from within your script.
CME_MINI:MNQ1!Education
by FriendOfTheTrend