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Fundamental Analysis

GBP/JPY 4H DOWNTREND ANALYSIS (Potential Sell Setup) As we can see, the market overall is in a downtrend on the 4-hour timeframe, as shown by the formation of lower lows and lower highs. There is also a gap that was created recently, and the current price action seems to be moving back to fill that gap. On the 4-hour chart, the price is currently approaching a supply area, which makes it a good zone to look for sell opportunities. Dropping down to the 30-minute timeframe, the market shows a clear structure suitable for identifying a potential entry after a change of character (CHOCH). The target for this setup is the 199.579
Short
by farajamwambagi
“Gold’s Got 99 Problems, and CPI Might Be One.”Hello Goldies , Gold closed near $4000, pressing into major weekly supply. Price sits between daily supply above and fresh demand below — a zone of decision, not trend. H4 shows a tight coil under resistance — breakout loading, but price is no longer in “free space” — this is where institutions decide if momentum continues or if a corrective leg begins. Key driver this week: US CPI (Wed). 🟢 Soft CPI → gold can extend higher 🔴 Sticky inflation → dollar rebound, gold pullback Gold holds near highs — charged and waiting for a trigger. 📊 Weekly Bias: Trend bullish (HH/HL intact), but price testing supply. → Bulls hold structure, yet upside must confirm above 4140 — not react. Key Zones: 🟥 Supply → 4040-4140 | 4280-4380 | 4500-4600 🟩 Demand → 3900-3800 | 3720-3600 ⚪ Decision Zone → 3985-4020 Scenarios: 🟢 Hold >3985 + break >4140 → 4280-4380 (CPI miss = 4500-4600) 🔴 Reject 4040 + close <3900 → 3800-3720, maybe 3550-3450 (FVG fill) Daily View: Still bullish, but hesitation at supply. Above 4000 → upside 4080-4200 Below 3985 → downside 3920-3720 H4 / H1: Bullish momentum coiled under resistance. Break >4024 (H4) or >4014 (H1) → 4073 → 4202 → 4171 Reject → retest 3978 → 3950 → 3912 🎯 Key Levels: Upside → 4040 | 4080 | 4140 | 4200 | 4280 Downside → 3985 | 3920 | 3850 | 3800 | 3720 Gold sits in a decision pocket — structure bullish, location bearish. Let CPI choose the winner. Declaimer** - for educational purpose only
TVC:GOLDShort
by FX_Scrubbs
XAU/USD – 10th Nov 2025 Trading Plan (Short-term intraday + swin Market Bias: Mild bullish momentum as long as price stays above 3980–3990. ✅ 1. Primary Strategy – Bullish Bias (Most Probable Scenario) ✅ BUY ZONE #1 – Pullback Entry Entry: Buy at 3992 – 4002 Stop-Loss: SL: 3972 Take Profits: TP1 → 4020 TP2 → 4035 TP3 → 4050 Reason: Price is respecting short-term EMAs; dips into 3990–4000 have been defended multiple times. ✅ BUY ZONE #2 – Breakout Entry Entry Trigger: Buy on breakout above 4035 (confirmed 4H candle body or 1H closing above) Stop-Loss: SL: 4010 Take Profits: TP1 → 4050 TP2 → 4080 TP3 → 4100 Reason: 4035–4050 is a supply block. A clean breakout opens bullish continuation. ✅ 2. Counter-Trend Strategy – Sell at Resistance (If Price Rejects) Use this ONLY if price shows rejection candles around resistance. ✅ SELL ZONE #1 – Resistance Rejection Entry: Sell at 4038 – 4048 (Only if bearish candle appears) Stop-Loss: SL: 4060 Take Profits: TP1 → 4015 TP2 → 4000 TP3 → 3985 Reason: Strong supply area; repeated rejections on previous candles. ✅ 3. Bearish Breakdown Strategy (Low Probability but Powerful) ✅ SELL ZONE #2 – Breakdown Below Support Entry Trigger: Sell if price closes below 3950 Stop-Loss: SL: 3970 Take Profits: TP1 → 3930 TP2 → 3915 TP3 → 3885 Reason: 3950 is the critical structural floor. A break will unwind stop orders below. ✅ 4. Final 24-Hour Expected Range 3980 – 4050 Below 3980 → bearish acceleration Above 4035 → bullish breakout ✅ 5. Recommended Approach Prefer buy dips into 3990–4000 Watch 4035 as the key breakout level Only sell with clear rejection signals
PEPPERSTONE:XAUUSDLong
by nadeem0014
2
LLY - Massive Bullflag in a Multi-year uptrendLLY will absolutely outperform in the next couple of months. Pair a technically flawless chart with a huge bullflag breakout with positive headwind "Google: Trump announces deals with Eli Lilly, Novo Nordisk to slash weight loss drug prices, offer some Medicare coverage" and coming QE and you have a star in the making. First targets for profit-taking marked in the charts if you want to swing trade this beast in the next 6-12 months.
NYSE:LLYLong
by enakocapital
A Hunter Waits Patiently, Then Strikes Like a Lion - US100 - 1HMy dear friends, greetings, My friends, I have set the buy levels for US100 at 24,872 and 24,677. I will never enter a trade or put myself at unnecessary risk before these levels are reached. My friends, in order to consistently win in this market and to become a successful trader, patience is essential. If you act with patience and strategy, you will always be a winning trader, just like me. I would also like you to know that my target is set at the 26,168 level. My friends, every single like from you is my greatest motivation to share these analyses. I sincerely thank everyone who supports me with their appreciation. With my respect and love.
FX:NAS100
by TraderTilki
37
Novo Nordisk selloff an opportunity if markets slumpMarkets are stretched. Tech and AI have run hot. If sentiment breaks, investors will pivot fast. Novo Nordisk offers safety, scale, and cashflow. But this isn’t a flawless story. Novo’s stock has pulled back. Some of that is market-driven. But part of it is real. Growth expectations were stretched. Wegovy demand is strong, but competition from Eli Lilly is rising. The obesity drug market is now a battleground. Margins will face pressure. There’s also a deeper issue. Novo’s growth beyond GLP‑1 is uncertain. The pipeline is solid, not spectacular. Expansion into areas like NASH and cardiovascular disease will take time. Execution risk is high. Regulators are watching pricing and access. Political pressure could mount, especially in the US. Still, Novo remains a global leader in metabolic health. The company is profitable, disciplined, and forward-looking. Oral versions of its drugs could open up new markets. And its ability to scale production is unmatched. If we see a broad selloff in growth and tech, money will move. Healthcare offers earnings stability. Within healthcare, Novo trades at a more reasonable multiple than peers, with less patent cliff risk. This isn’t a moonshot. It’s a quality business, temporarily mispriced. Risks exist, but they’re known and manageable. Growth won’t be as smooth as before, but it’s still there. And when the market rotates, Novo will be in demand. For traders, this is about timing. For investors, it’s about conviction. Either way, it deserves a place on the radar. The forecasts provided herein are intended for informational purposes only and should not be construed as guarantees of future performance. This is an example only to enhance a consumer's understanding of the strategy being described above and is not to be taken as Blueberry Markets providing personal advice.
NYSE:NVOLong
by Blueberry
WTI on high time frame 1. **Current Price Action**: WTI has reached the $56 level, indicating a liquidity sweep. 2. **Signals for Higher Prices**: After the liquidity sweep, there are indications that prices may rise, with the first target at around $64. 3. **Geopolitical Factors**: The analysis is contingent on geopolitical stability, as any changes in tariffs or geopolitical situations can invalidate this forecast. If you need more detailed analysis or specific aspects explained, feel free to ask!
OANDA:WTICOUSDLong
by somayehbasiri
LINK - Approaching Breakout From Descending TrendlineChainlink (LINK/USDT) is currently trading near a key support zone around $15.00–$15.20, where price has shown multiple bounces. The chart also shows a descending trendline acting as resistance. Price is beginning to push up from support and is approaching this trendline again. A breakout above the descending trendline could signal a shift in momentum, potentially leading to a bullish move toward the next resistance levels around $15.60 and then the projected target zone near $16.20–$16.40. Overall, the chart suggests a possible trend reversal scenario, but confirmation would come from a clean breakout and retest of the descending trendline.
Long
by Hamza_Gold
Challenges and Risks in Global Investing1. Introduction to Global Investing Global investing refers to the practice of allocating capital across international markets, including stocks, bonds, mutual funds, and other financial instruments from different countries. While it offers opportunities to capture growth from emerging economies and diversification benefits, it also exposes investors to risks that stem from global interdependence. These risks may arise due to variations in political systems, market maturity, taxation, and macroeconomic conditions. Therefore, a well-informed global investor must carefully assess the potential threats and rewards before investing abroad. 2. Currency Risk One of the most significant challenges in global investing is currency risk or exchange rate risk. When investors hold assets denominated in foreign currencies, fluctuations in exchange rates can affect investment returns. For example, if an Indian investor invests in U.S. stocks and the Indian rupee strengthens against the U.S. dollar, the investor’s returns in rupee terms will decrease even if the stock’s price rises in dollar terms. Similarly, if the rupee weakens, the investor may benefit from favorable exchange rate movements. Currency volatility is influenced by inflation, interest rate differentials, trade balances, and geopolitical factors. Investors can mitigate this risk through hedging strategies, such as currency futures or options, but these come with additional costs and complexities. 3. Political and Geopolitical Risks Political instability is another major challenge in global investing. Changes in government, social unrest, corruption, or political uncertainty can severely affect the performance of investments in certain countries. For example, political tensions between countries can lead to trade restrictions, sanctions, or expropriation of assets, directly impacting multinational companies. The Russia-Ukraine conflict in recent years, for instance, has led to economic sanctions that affected investors with exposure to those regions. Similarly, sudden policy changes such as nationalization of industries, tax reforms, or foreign investment restrictions can negatively impact returns. Hence, political risk assessment is crucial when investing in developing or politically unstable nations. 4. Economic and Market Risks Different economies move through cycles of expansion and contraction at varying times. This creates economic risk, which can impact the performance of international investments. Emerging markets often offer high growth potential but may also experience sharp downturns due to weak economic structures, inflationary pressures, or currency devaluations. Developed markets, on the other hand, may provide stability but lower growth prospects. Moreover, global market risks—such as recessions, interest rate hikes, or financial crises—can have widespread effects. The 2008 Global Financial Crisis demonstrated how interconnected financial markets are, as a collapse in the U.S. housing market triggered a worldwide recession. 5. Regulatory and Legal Risks Each country operates under its own regulatory framework, which governs business practices, financial reporting, and investor protections. Differences in accounting standards, disclosure requirements, and corporate governance practices can pose serious challenges for global investors. For example, while the U.S. follows GAAP (Generally Accepted Accounting Principles), many other countries use IFRS (International Financial Reporting Standards). These variations can make it difficult to compare companies across borders. Legal systems in some countries may also lack transparency or enforceability. In extreme cases, investors may face fraud, corruption, or lack of legal recourse when disputes arise. Therefore, understanding the local legal and regulatory landscape is essential before making any international investment. 6. Cultural and Communication Barriers Cultural differences play a subtle but significant role in global investing. Business practices, negotiation styles, corporate culture, and consumer behavior vary across regions. Misunderstanding these cultural nuances can lead to poor investment decisions. For instance, a company operating successfully in the U.S. might not achieve the same results in Japan or India due to differences in consumer preferences, labor laws, or management styles. Similarly, language barriers can lead to misinterpretation of financial information or communication errors with local partners and institutions. Investors need to account for these soft factors when analyzing global markets to ensure that cultural misalignment does not undermine business potential. 7. Liquidity Risk Liquidity risk arises when investors are unable to buy or sell an asset quickly without affecting its price. In many foreign markets—especially in developing nations—financial instruments are less liquid than in major global exchanges. For example, while shares on the New York Stock Exchange (NYSE) can be traded almost instantly, stocks listed on smaller exchanges in emerging economies may take days or weeks to execute. This can pose problems during times of market stress when investors need to exit positions quickly. Investors must, therefore, assess the liquidity levels of foreign markets before investing and avoid overexposure to illiquid assets. 8. Information and Transparency Challenges Access to reliable and timely information is a cornerstone of sound investment decisions. However, in many countries, financial transparency and disclosure standards are not as rigorous as in developed markets. Incomplete or inaccurate data can lead to mispricing of assets and poor investment choices. Furthermore, language differences, lack of research coverage, and limited access to company executives can make it difficult for foreign investors to fully understand the market environment. Global investors often rely on local analysts, financial news, or international advisory firms to bridge this information gap. 9. Taxation and Repatriation Issues Each country has its own tax laws, including capital gains tax, dividend tax, and withholding tax. Navigating these differences can be complicated, especially when double taxation treaties are not in place. Additionally, repatriating profits from foreign investments can be difficult due to restrictions on currency transfers or unfavorable exchange rate conditions. Investors must consult international tax experts and understand cross-border tax implications to avoid unexpected liabilities. 10. Technological and Cybersecurity Risks As global investing increasingly relies on digital platforms, cybersecurity threats have become a significant concern. Online trading platforms, digital banking systems, and financial data networks are all vulnerable to hacking and data breaches. Moreover, technological disparities between countries may also impact efficiency and transparency. In less developed markets, outdated trading infrastructure or lack of digital safeguards can increase operational risks. Investors must prioritize cybersecurity and ensure their brokers or financial institutions follow robust digital protection standards. 11. Environmental, Social, and Governance (ESG) Risks The growing importance of ESG factors in global investing introduces another dimension of risk. Companies that fail to comply with environmental regulations, labor rights, or ethical practices may face boycotts, fines, or reputational damage. Investors must evaluate not only financial performance but also the sustainability practices of international firms. Ignoring ESG considerations can result in long-term losses as global markets increasingly reward responsible and transparent businesses. 12. Global Systemic Risks Certain risks, such as pandemics, climate change, and global recessions, affect the entire world simultaneously. The COVID-19 pandemic, for instance, caused massive disruptions across industries and countries, showing that no market is entirely insulated from global shocks. Such systemic risks highlight the importance of maintaining flexibility, diversification, and proper risk management strategies in global portfolios. 13. Strategies to Mitigate Global Investment Risks While global investing carries challenges, investors can manage these risks through prudent strategies: Diversification: Spreading investments across regions, sectors, and asset classes reduces exposure to any single market. Hedging: Using derivatives like options or futures to protect against currency or commodity price fluctuations. Research and Due Diligence: Conducting in-depth analysis of political, economic, and financial environments before investing. Professional Guidance: Consulting international fund managers or advisors with local expertise. Regular Monitoring: Continuously tracking geopolitical and economic developments that may impact returns. 14. Conclusion Global investing offers immense opportunities for wealth creation and diversification, but it comes with complex challenges and risks. Factors such as currency volatility, political instability, regulatory differences, and global crises can significantly impact investment outcomes. Successful global investors must adopt a disciplined approach that combines research, diversification, and risk management. By understanding and navigating these challenges wisely, investors can unlock the full potential of global markets while safeguarding their capital against unforeseen global shocks.
NASDAQ:MSTREducation
by GlobalWolfStreet
A SetupWhat qualifies as an A+ setup (Big Three) Compression: A valid Big Three squeeze on your chosen timeframe. Signal: Big Three Buy Signal present. Trend filter: Price above the moving averages. Multi-timeframe game plan Anchor (bigger picture): Daily / 3-day squeezes to define backdrop & runway. Trigger (trade timeframe): 2-Hour (or 30-min/15-min/5-min) A+ squeezes for entries. Bias maintenance: Hold only while the price stays above the trailing stop and the structure stays bullish. Pre-flight checklist (grade it fast) Squeeze present on your entry timeframe (2h / 30m / 15m / 5m). EMA stacked in order (no exceptions for A+). Trend/structure: Uptrend or at least neutral turning up. Bigger picture alignment: Daily / 3-day not fighting you; momentum not deeply negative. Nearby “fuel” (levels): Key MAs (e.g., daily 50), pre-break accumulation, gamma call walls, and recent highs. Entry & management (simple and consistent) Entry trigger options First break out of the squeeze range with structure and signal intact. Or pullback-to-hold above trailing stop/MA inside the squeeze; buy the next higher low → higher high sequence. Initial risk Stop: just below the trailing stop or last pivot low inside the squeeze. Positioning: size so a stop hit ≈ 0.5R of daily risk (or less). Profit taking Tier 1: prior swing high / measured move from squeeze range. Tier 2: roadmap targets (recent highs, round numbers, and gamma walls). Trail partial with trailing stop; roll or trim if momentum cools. What cancels A+ mid-trade Lose the buy signal and close below the trailing stop, 8 EMA. Momentum rollover on your entry TF while higher TFs aren’t supportive. Repeated failed reclaims of the squeeze top. Plan A+ vs “Almost A+” (how to decide) A+ now = All four: Squeeze + Buy Signal + Above trailing stop. Almost A+. Missing momentum. Action: Stalk on lower TFs (5m/15m) for earlier entries, but only size up when the main TF prints full A+. Execution guardrails (to keep your edge) Don’t force entries before the squeeze/score/signal align—let it become A+. If you take a starter on a lower TF, earn the add-on higher-TF confirmation. Respect gaps: lock tiers into gap pushes from active squeezes. Keep a daily max loss; after 2R down or 2 invalid setups, flatten and reset. Screener: www.tradingview.com
NASDAQ:EOSEEducation
by GabrielAmadeusLau
Zulu PrincipleJim Slater beat the market for decades by systematizing quality + reasonable price + momentum—first via a 1960s “earning situations” turnaround playbook, then (1992+) via the Zulu Principle: small/mid caps with fast EPS growth, efficient capital use, cheap vs growth (low PEG), and RS strength, managed by strict quarterly rebalances. The two playbooks 1) “Capitalist” (1960s turnaround) Yield ≥ 4%, EPS up in ≥4 of 5 years, EPS ≥ 2× in 4 years Optimistic chairman’s statement, sound liquidity, no exceptional vulnerabilities Reasonable asset value, not family-controlled, voting shares Spirit: early GARP before it had a name—cash-generative, improving earners with robust balance sheets. 2) Zulu Principle (1990s, refined & timeless) PEG < 0.75 (value vs growth in one metric) P/E < 20 EPS growth > 15% 12-mo Relative Strength > 0% (price momentum) ROCE > 12% (quality/efficiency) Market cap £20M–£1B (small–mid where “elephants don’t gallop”) Quarterly full rebalance: buy all qualifiers; sell anything that drops off; no in-between adds. Why it still works Aligns with the three empirically robust factors: Quality, Value (vs growth), Momentum. Captures post-earnings-announcement drift by favoring positive EPS surprises and upgrades. Rules ≫ opinions: removes emotion, enforces discipline via scheduled rebalances. When few names qualify (tight markets) Relax one notch (e.g., PEG < 1.0, P/E < 25, ROCE > 10%). Widen geography (apply the same screen across EU/US/ROW). Layer news filters (earnings beats, trading updates) on top of the screen. Ready-to-run screen: www.tradingview.com Universe: your domestic market + optional global small/mid PEG (1y forward EPS growth) < 0.75 P/E (TTM or forward) < 20 EPS growth (TTM or forward) > 15% Relative Strength (12m vs market) > 0% ROCE > 12% Market Cap , 1.1x USD Liquidity guardrails: £5k ~ £20k Daily Volume Sanity Check: Golden Cross, Price above 50/200 DMA Portfolio construction & rules Quarterly rebalance (strict): equal-weight all qualifiers; sell anything that no longer qualifies. Max names: 20–40 (equal weight); if >40, rank by lowest PEG → highest RS → highest ROCE. Risk: position size so any single name ≤ 5% weight; optional 15–25% stop from entry if you want overlays. Costs/slippage: use liquid names (ADV filter) and quarterly cadence to keep friction low. Upgrades you can test Replace RS>0% with 6-Month RS > 5% or 12-Month RS > 10%. Add Net debt/EBITDA < 10× (quality balance sheet). Require positive estimate revisions in the last 3 months. Momentum overlay: require price above 50/200-DMA to avoid value traps.
NYSE:HLFEducation
by GabrielAmadeusLau
Value to Price Contraction PatternVPC Overview What to Watch During Corrections Stay engaged. Corrections are when future leaders reveal themselves. Breadth divergence = danger. If indexes rise while the percentage of stocks above the 200-DMA is less than 50% (especially in the 30s), expect a pullback; rallies are narrow and fragile. Look beyond cap-weighted indexes. Check equal-weight S&P, S&P 400 (midcaps), and Russell 2000; if they lag, leadership is thin. Distribution vs. accumulation. Clusters of distribution days with few/brief accumulation days = risk-off regime. How Leaders Reveal Themselves (3 Phases) Predictive (during the correction): Stocks hold up the best, often within ~25% of 52-week highs while the market is weak. The RS line makes new highs even if the price is flat/down. Keep them on the A-list. Right off the lows (post-FTD): Explosive moves straight from lows, first into new high ground. These often become the cycle’s monsters; wait for the first tight add-on/base if the initial thrust is extended. Confirming (after the turn): Breadth broadens; more proper bases are complete; opportunities are more obvious but still fruitful. Entry Playbook Require a Confirmed Uptrend: A follow-through day (FTD) + real setups. FTD alone is not a buy signal. Focus on VCP bases (Volatility Contraction Pattern): successively tighter swings, drier volume, and right-side strength; buy as it clears the pivot with power. RS Line New Highs into/at Breakout = Green Light. Recent IPOs: prime “magnitude plays”; catch early primary bases coming out of corrections. Progressive Exposure (when trades work) Start with ~25% exposure (e.g., 4–5 x 5% “pilot” positions or one 20–25%). If pilots gain traction, move quickly to ~50%, concentrating on the best names (add to winners). If strength persists, scale to 75–100%. Do not scale up if pilots aren’t working; reduce instead. Selling & Timeframe Define intent up front: trade (harvest faster, lower drawdown) vs campaign (accept drawdowns for bigger targets). Sell into strength when the extension vs. key MAs is wide and the downside is greater than the upside. For developing skill: take partials at 2–3× your initial risk (R) to “free-roll” the position; trail the rest. Never raise cash just because the index is red; raise cash when your stocks show deterioration or hit stops. Risk & Stops Enter with a tight risk (Minervini style: often 3–5% below a well-defined pivot/low). Position size so a stop hit costs ~1–2% of equity per idea. Don’t average down. Cut quickly; the strategy is better than you—your job is to execute it. Five Fast Filters for New Leaders Shallow corrections from highs (ideally ≤25%) and quick recoveries. Bases forming within long-term uptrends; VCP tightenings. Fastest back to new highs after the market low; frequent up-days > down-days (“ants”: ≥12 up in 15). The RS line is making new highs before/at breakout. Recent IPOs with real growth. Mindset Commit to one sound strategy and master it; discipline is greater than prediction. Trust the stocks, not the headlines. When the market confirms and the leaders set up, act. Scanner: www.tradingview.com
NYSE:GMEDEducation
by GabrielAmadeusLau
1
Base on Base Weekly Breakout The stock has delivered a powerful breakout above ₹2,400 after weeks of consolidation. The move comes with 2.5× surge in volume, confirming strong institutional participation. Price action is firmly above all key EMAs, signaling a sustained uptrend on higher timeframes. The structure resembles a cup-and-handle breakout and any pullback toward ₹2,250–₹2,300 could offer a healthy retest entry zone, while ₹1,950–₹2,000 remains key support. Trend bias stays strongly bullish as long as weekly closes hold above this level. #InterarchBuildingSolutions #Breakout #SwingTrade
NSE:INTERARCHLong
by Mohank23
CANSLIM Overview📘 CANSLIM Overview — The 7 Traits of Big Stock Winners CANSLIM is an acronym developed by William J. O’Neil, founder of Investor’s Business Daily (IBD) and author of How to Make Money in Stocks. It describes the seven common characteristics shared by the biggest winning stocks before their major price moves. The system blends fundamental growth, institutional behavior, and market timing—and is grounded in historical quantitative studies dating back to the 1800s. 🧩 The Acronym: Letter Stands For Core Concept C Current Quarterly Earnings Explosive short-term earnings growth A Annual Earnings Growth Multi-year compounding of profits N New Product, Service, or Management Innovation driving market leadership S Supply and Demand Stock’s float size and institutional accumulation L Leader vs. Laggard Relative strength and group leadership I Institutional Sponsorship Quality fund ownership and buying pressure M Market Direction Aligning with the general market trend 1️⃣ C — Current Quarterly Earnings: Big Growth, Not Modest Growth “The biggest winners showed three consecutive quarters of 25%+ growth, but the best averaged 70%+ before their runs.” Measure this quarter vs. the same quarter last year, not sequentially. This avoids seasonal distortions. Ideal Growth Rate: Minimum: +25% YoY EPS growth for 3+ quarters Stronger filter: +70–100% or even triple-digit earnings growth Combine with revenue growth of 30–50% or more. Stocks with massive EPS and sales growth attract institutional attention early. Modern Adjustment: Today’s growth leaders (e.g., NVDA, TSLA, PANW) still show these patterns, though some use non-GAAP EPS or adjusted metrics. The concept—explosive profitability inflection—remains identical. 2️⃣ A — Annual Earnings Growth: Sustained Profitability “Look for at least three years of annual earnings increases.” Consistency is key. Accelerating growth adds conviction. Avoid one-time spikes or negative earnings trends. Favor firms with 3+ years of 20%+ annual EPS growth and positive forward analyst estimates for continuation. Analyst Upward Revisions are particularly powerful—funds often buy on these changes. Interpretation: Multi-year profit acceleration shows management execution, competitive edge, and strong demand. Example: O’Neil’s model studies (1952–2001) showed 73% of winners had +70% EPS growth the quarter before their breakout and 3+ years of rising annual profits. 3️⃣ N — New Product, Service, Management, or Market Catalyst “You want the next Apple, not the next RCA.” Innovation is the engine of multiple expansion. The “new” can take many forms: Breakthrough product or service Transformative business model New leadership or management Market share disruption Examples (then and now): Apple (iPhone), Tesla (EVs), Nvidia (AI GPUs), Uber (gig economy) Earlier eras: IBM, Home Depot, Microsoft Psychological angle: Human nature craves novelty. The market rewards perceived future dominance, not current stability. 4️⃣ S — Supply and Demand: The Float Matters (Less Now) Originally, O’Neil favored smaller floats (≤50–70M shares) since limited supply + strong demand = sharp price moves. “It’s less critical today—large caps can still double or triple. Focus on quality, earnings, and leadership over share count.” The principle still holds but is muted due to: ETFs, passive flows, and massive institutional liquidity Widespread retail access and option leverage The core idea remains: price rises when demand exceeds supply, visible via volume surges. Modern adaptation: Monitor volume spikes, accumulation/distribution, and relative volume ratios over absolute float size. 5️⃣ L — Leader vs. Laggard: The Power of Relative Strength (RS) “Buy the strongest stocks in the strongest groups during a confirmed uptrend.” O’Neil found each bull cycle is led by 2–3 dominant industry groups (e.g., semiconductors, software, solar). Within those, only the top few names outperform meaningfully. Key Filters: Relative Strength (RS) Rating: 85–99 (top 15% of market) Leading groups by RS, EPS growth, and fund buying Avoid laggards even within strong sectors. Modern context: Institutional algorithms still chase relative momentum. RS-based filters would be Ideal. “When you have the strongest stocks, in the strongest sectors, in an uptrend—and you use disciplined stop-losses—it’s very hard not to make money.” 6️⃣ I — Institutional Sponsorship: The Smart Money Footprint “70% of market volume comes from institutions—follow their footprints.” Institutions (mutual funds, hedge funds, pension plans) create sustained demand that drives major trends. Key things to watch: Rising number of institutional holders quarter-over-quarter Presence of high-quality funds (e.g., Fidelity Contra, Vanguard Growth) Volume patterns on charts confirming accumulation Quantitative Significance: Example: Zoom (ZM)—278 funds → 1,413 funds within 7 quarters (5× increase) Enphase (ENPH)—160 → 1,008 funds in 8 quarters Such surges often precede parabolic price advances. 7️⃣ M — Market Direction: The Most Critical Factor “If you don’t get the M right, nothing else matters.” O’Neil’s data showed: 3 out of 4 stocks follow the general market trend. Even perfect fundamentals fail in bear markets. Core Rule: Only buy aggressively during a confirmed market uptrend. The signal is the Follow-Through Day (FTD)—a +1.5% or greater gain on strong volume, typically 4–10 days after a market low. When the Market Is Choppy or Bearish: Reduce exposure or move to cash (cash is a position). Focus on capital preservation over prediction. ⚠️ Risk Management — The “Eighth Principle” “You can be right 1 out of 3 times and still make a fortune—if you cut losses fast.” O’Neil borrowed from Jesse Livermore and Bernard Baruch’s philosophy: Max loss per trade: 7–8% (ideally 5%) Never average down; if it fails the breakout, sell immediately. Emotional capital matters as much as financial capital. Risk Math: Loss Required Gain to Break Even 7% +7.5% 20% +25% 50% +100% → The deeper the drawdown, the harder recovery becomes — and the worse your discipline gets. Cutting losses early keeps both capital and confidence intact. Advanced Discipline: Always use stop-losses near pivot points Size positions so that total portfolio risk ≤1–2% per trade, and the Reward is 3x your risk. Expect that most trades won’t work; winners will more than offset losers 🔢 Practical CANSLIM Checklist Step Criterion Target Metric C Current quarterly EPS growth ≥25%, ideally 70%+ A Annual EPS growth 3 consecutive years ≥20% N Innovation or catalyst New product/service/management S Supply-demand imbalance Volume > average, low float optional L Leadership RS ≥85; top 3 names in top sector I Institutional ownership Increasing QoQ, ≥2 top-tier funds M Market trend Confirmed uptrend via FTD Risk Stop loss 5–8% below entry, always enforced 🧠 Psychological Cornerstones Human nature never changes. Fear and greed drive every cycle—from 1800s railroads to 2020s AI stocks. Discipline beats prediction. Entry precision is less important than loss limitation. Conviction comes from quality. Big winners are clear leaders with strong fundamentals. Cash is a position. Avoid trading in “cold decks” (sideways or down markets). Emotion control = longevity. Protect your confidence as much as your capital. 🧩 Modern CANSLIM Adaptations While CANSLIM’s DNA remains timeless, modern quantitative investors integrate: Relative Volume & RS Ranking (machine-scored) EPS revision momentum (analyst upgrades) Institutional rotation data (13F filings, ETF flows) Macro context: liquidity cycles, Fed policy, credit spreads Technical refinements: base patterns, volume dry-ups, and volatility contraction setups (VCP). 💬 Summary Insight “Nothing has changed since the 1800s—only the tools. Human nature and crowd behavior are constants.” CANSLIM is a structured behavioral framework for spotting institutional accumulation of fundamentally superior companies at the right time in the market cycle. Its greatest edge lies not in stock-picking, but in discipline—knowing what not to touch, when to cut, and when to press. Here is the Screener I use. www.tradingview.com
NASDAQ:STXEducation
by GabrielAmadeusLau
Screener SystemThe Gabriel Quantitative Screener Series transforms the way traders approach technical and fundamental confluence. Each filter was designed not just to identify market opportunities but to model institutional behavior, where volume, efficiency, and volatility compression merge into repeatable, high-conviction setups. By mastering these tools, traders can adapt dynamically across multiple environments: From high-growth rotations and momentum squeezes to value recoveries and fundamental leadership trends. From swing trades that capture early rotations to short-term intra-day bursts driven by liquidity spikes. Each screener operates independently, but together they provide a panoramic framework of market rhythm and capital flow dynamics—helping you trade in harmony with institutional footprints rather than noise. ⚙️ 1. Gabriel’s TTM Squeeze—Volatility Compression and Momentum Ignition Credit to John Carter from Simpler Trading. Concept: The TTM Squeeze identifies moments when volatility contracts to its tightest levels, signaling a buildup of market energy before a potential breakout. Gabriel’s version refines this principle by combining EMA structure alignment, Stochastic crossovers, liquidity thresholds, and volatility gating to isolate high-probability expansion phases. Core Technical Framework: EMA (8), EMA (21), EMA (34), EMA (55), and EMA (89) create a layered exponential trend structure that reveals directional stacking. Bullish alignment: EMAs stacked upward (momentum acceleration). Bearish alignment: EMAs inverted (momentum exhaustion). Bollinger Bands (20) within Keltner Channels (20)—defines volatility compression and the "squeeze" zone. Stochastic (5,3,3), (8,3.3), (14,3,3)—ensures that it's ready and primed. ADR > 2% & ATR (14) ≥ 0.5—ensures range expansion potential. Volume ≥ 500K—confirms institutional-grade activity. Market Cap ≥ $2B—eliminates illiquid small caps. How It Works: Detects volatility contraction as BBs narrow inside KCs. Confirms directional alignment using multi-EMA structure and R.A.F. proxy. Screens for expansion-ready setups where energy release often follows compression. Ideal Use Case: Perfect for swing and intraday traders who capitalize on volatility transitions. Best applied before earnings or major news catalysts when institutional positioning drives breakout volatility. 🚦2. Gabriel’s TRW Squeeze—Trend Rotation Wave Screener Credit to Aayush Sharma from Stock Campus. Description: The Gabriel’s TRW Squeeze screener identifies trend rotation wave setups using volatility compression signals combined with multi-SMA alignment. It is designed to detect the moment when price, volatility, and structure synchronize—signaling a potential momentum release after a quiet consolidation phase. While Gabriel’s TTM Squeeze focuses on exponential momentum acceleration, the TRW Squeeze emphasizes smoothed trend strength, ideal for swing traders and portfolio rotations. Core Framework 🔹 Moving Average Structure SMA(9), SMA(21), SMA(50), SMA(200) define the multi-horizon trend. Alignment of these SMAs reveals institutional rotation and trend maturity. Bullish Bias: price above SMA(9) > SMA(21) > SMA(50) > SMA(200). Bearish Bias: reverse order or price below all SMAs. 🔹 Volatility Compression Bollinger Bands (20) contracting inside Keltner Channels (20) marks the volatility “squeeze.” This condition reflects a market equilibrium about to shift—the “coiling spring” pattern. Once Bollinger Bands expand beyond the Keltner Channel, momentum is likely to surge. 🔹 Liquidity & Volatility Filters Market Cap ≥ 2 B USD—avoids microcaps and ensures institutional-grade volume. Volume ≥ 500 K—screens only actively traded stocks. ATR(14) ≥ 0.5—ensures sufficient daily range for tradeable volatility. ADR ≤ 2%—filters excessive overnight risk. How It Works Compression Detection—The screener finds assets where Bollinger Bands are inside the Keltner Channel, signaling low volatility. Trend Alignment—SMA structure confirms the directional bias of the underlying trend. Expansion Trigger—A breakout from the squeeze with aligned SMAs marks a high-probability trend continuation or reversal wave (TRW). ⚡ 3. Gabriel’s Low Float Mover—High-Volatility Momentum Screener Credit to Ross Cameron from Warrior Trading. Description: Gabriel’s Low Float Mover is engineered to detect high-momentum, low-float stocks exhibiting abnormal volume surges, strong pre-market strength, and breakout behavior. It filters for equities within the $2.5–$25 range, making it ideal for traders targeting parabolic intraday and swing moves driven by speculative rotation, news catalysts, or short squeezes. Core Filters ⚙️ Liquidity & Market Cap Price: $2.50–$25 Focuses on the sweet spot for retail and small-float momentum plays. Market Cap: $300M–$2B Captures low- to mid-float tickers with enough liquidity to run but small enough to move violently on volume. 🔥 Momentum & Volume Criteria Relative Volume ≥ 5× Ensures today’s activity is at least 5× higher than normal—confirming crowd participation or news-based rotation. New High (1 Month) Filters for fresh breakouts or stocks reclaiming momentum from consolidation. Pre-Market Change ≥ 2%— Detects early strength before the open, a key tell for potential runners. ⚖️ Risk Control ADR ≥ 2% Limits overnight tracking error and ADR volatility, focusing on domestic tickers with cleaner price action. How It Works Identifies low-float, mid-cap stocks within the preferred retail volatility range. Confirms momentum ignition using relative volume, recent highs, and pre-market confirmation. Highlights tickers most likely to experience intraday breakouts, halts, or squeezes. Use Case Built for day traders, momentum scalpers, and swing traders who thrive in fast-moving markets. The screener surfaces potential runners before market open, allowing early preparation and pre-market watchlist building. ⚖️ 4. Gabriel’s VPC—Value-to-Price Compression Screener Credit to Mark Minervini. Concept: The Value-to-Price Compression (VPC) model identifies stocks transitioning from deep value recovery to early momentum, trading between their 52-week extremes. It captures the “middle zone” where institutional accumulation typically begins—not too oversold, not too overbought. Core Framework: Price ≥ 30% above 52W Low—signals strength recovery from a value base; the more the better, preferably higher than 100%. Price ≤ 30% below 52W High—leaves headroom for continued upside; the closer to the 52-week high, the better. SMA (50), SMA (150), and SMA (200) measure long-term compression and potential golden-cross structure. Market Cap ≥ $300M, Volume ≥ 2M, ATR ≥ 0.5, ADR ≤ 2%—ensure clean, tradeable liquidity profiles. How It Works: Detects stocks recovering from lows but not yet overextended. Confirms trend compression via SMA alignment. Highlights candidates basing or consolidating before major continuation. Ideal Use Case: Best for swing and position traders aiming for sustained mid-cycle entries—the sweet spot between growth investing and technical momentum. 💹 5. Gabriel’s CANSLIM—Fundamental Growth & Institutional Leadership Screener Credit to William O'Neil. Description: Gabriel’s CANSLIM identifies elite growth stocks that exhibit accelerating earnings, strong sales expansion, operational efficiency, and improving institutional interest—while still trading within 30% of their 52-week highs. This screener merges O’Neil’s original CANSLIM principles with modern quantitative filters, designed to surface leaders emerging from consolidations with robust fundamentals and liquidity. Core Framework 📈 C – Current Quarterly & Annual Earnings EPS Growth (Quarterly YoY ≥ 25%)—highlights recent earnings acceleration. EPS Growth (TTM YoY ≥ 15%)—confirms consistency across annual cycles. Operating Margin (TTM ≥ 4.25%)—ensures profitable, scalable business models. 💰 A – Annual Earnings Growth Revenue Growth (TTM YoY ≥ 25%)—sustained top-line expansion validates structural growth. Net Margin (TTM ≥ 3%)—filters out low-quality revenue growth with poor conversion efficiency. 🧭 N – New Highs, Products, or Market Leadership Price ≤ 30% below 52-week high—positions within breakout range of institutional accumulation. ROCE (TTM ≥ 12%)—indicates strong capital efficiency and competitive advantage. 🏦 S / L / I / M – Supply, Leadership, Institutional Demand, Market Direction Market Cap ≥ $300 M USD—ensures institutional-grade tradability. Volume ≥ 5 M—screens for active institutional participation, the RS indicator. Net Debt / EBITDA ≤ 17—avoids over-leveraged names that can’t scale efficiently. ATR (14) ≥ 0.5 & ADR ≤ 2%—ensures both volatility for momentum and manageable risk. How It Works Filters fundamentally strong companies growing earnings and sales ≥ 20 % with efficient capital allocation. Targets those near technical breakout zones—above institutional support but below euphoria. Surfaces leaders capable of multi-quarter momentum continuation during strong market cycles. 💬 6. Gabriel’s Zulu Principle — Undervalued Growth with Technical Precision Description: Gabriel’s Zulu Principle is inspired by Jim Slater’s legendary small-cap investment philosophy — focusing on “niche growth at a reasonable price.” This screener merges the value discipline of fundamental analysis with technical alignment, surfacing emerging growth companies before institutional recognition. It’s designed to identify small- and mid-cap stocks that are growing earnings rapidly yet remain undervalued by traditional metrics, sitting quietly in volatility contraction zones — the perfect setup for asymmetric upside. 🔥7. Stocks In Play, ORB — Opening Range Breakout Momentum Screener Description: “Stocks In Play, ORB” is a high-momentum liquidity screener built to identify intraday breakout candidates showing explosive activity around the Opening Range Breakout (ORB) window. It focuses on high relative volume, strong ATR expansion, and clean volatility structure to surface equities with enough participation and range for active day trading. This is your go-to pre-market and intraday watchlist generator for finding the tickers that matter today.
CME_MINI:ES1!Education
by GabrielAmadeusLau
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