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XAUUSD BUY Trading suggestion: ". There is a possibility of temporary retracement to the suggested support line (1774). . if so, traders can set orders based on Price Action and expect to reach short-term targets." Technical analysis: . XAUUSD is in an uptrend, and the continuation of the uptrend is expected. . The price is above the 21-Day WEMA, which acts as a dynamic support. . The RSI is at 79. Take Profits: TP1= @ 1780 TP2= @ 1785 SL= Break below 1770 CON- @Binarysignalexpert
OANDA:XAUUSDLong
by akhileshsharma61995
Index Analysis Disclaimer: My videos, presentations, and writing are only for educational purposes and are not intended as investment advice. I cannot guarantee the accuracy of any information provided. #stockmarket #trading #banknifty #nifty #priceaction #optionstrading #sharemarket #indiansharemarket #sharemarkettips #sharemarketnews #sharemarketing #sharemarketindia #sharemarketstudies #sharemarketinvesting #sharemarketeducation #sharemarkets #sharemarketupdates #sharemarketknowledge #likeandsharemarketing #sharemarketanalysis #sharemarketinhindi #sale4sharemarket #usharemarketing #australiasharemarket #shelves2sharemarketers #sharemarket_official #shelves2sharemarketing #aasmsharemarket #esharemarket #stockmarket #stocks #investing #trading #investment #money #finance #forex #invest #nifty #investor #business #sharemarket #financialfreedom #bitcoin #trader #cryptocurrency #entrepreneur #sensex #daytrader #stock #wallstreet #wealth #nse #forextrader #bse #stockmarketindia #daytrading #stockmarketnews #forextrading #crypto #success #motivation #stockmarketinvesting #indianstockmarket #technicalanalysis #intraday #stocktrading #swingtrading #banknifty #millionaire #trade #profit #forexsignals #intradaytrading #investingtips #india #investors #stockmarkets #investments #market #niftyfifty #passiveincome #binaryoptions #financialliteracy #warrenbuffet #blockchain #dalalstreet #entrepreneurship #optionstrading
NSE:CNXFINANCELong
by AspireTraders
#live trading #banknifty#stockmarket #stocks #investing #trading #investment #money #finance #forex #invest #nifty #investor #business #sharemarket #financialfreedom #bitcoin #trader #cryptocurrency #entrepreneur #sensex #daytrader #stock #wallstreet #wealth #nse #forextrader #bse #stockmarketindia #daytrading #stockmarketnews #forextrading #crypto #success #motivation #stockmarketinvesting #indianstockmarket #technicalanalysis #intraday #stocktrading #swingtrading #banknifty #millionaire #trade #profit #forexsignals #intradaytrading #investingtips #india #investors #stockmarkets #investments #market #niftyfifty #passiveincome #binaryoptions #financialliteracy #warrenbuffet #blockchain #dalalstreet #entrepreneurship #optionstrading
NSE:BANKNIFTY1!Long
by shailendra82810
#live trading #eurusd#stockmarket #stocks #investing #trading #investment #money #finance #forex #invest #nifty #investor #business #sharemarket #financialfreedom #bitcoin #trader #cryptocurrency #entrepreneur #sensex #daytrader #stock #wallstreet #wealth #nse #forextrader #bse #stockmarketindia #daytrading #stockmarketnews #forextrading #crypto #success #motivation #stockmarketinvesting #indianstockmarket #technicalanalysis #intraday #stocktrading #swingtrading #banknifty #millionaire #trade #profit #forexsignals #intradaytrading #investingtips #india #investors #stockmarkets #investments #market #niftyfifty #passiveincome #binaryoptions #financialliteracy #warrenbuffet #blockchain #dalalstreet #entrepreneurship #optionstrading
Short
by shailendra82810
#live trading bank nifty#stockmarket #stocks #investing #trading #investment #money #finance #forex #invest #nifty #investor #business #sharemarket #financialfreedom #bitcoin #trader #cryptocurrency #entrepreneur #sensex #daytrader #stock #wallstreet #wealth #nse #forextrader #bse #stockmarketindia #daytrading #stockmarketnews #forextrading #crypto #success #motivation #stockmarketinvesting #indianstockmarket #technicalanalysis #intraday #stocktrading #swingtrading #banknifty #millionaire #trade #profit #forexsignals #intradaytrading #investingtips #india #investors #stockmarkets #investments #market #niftyfifty #passiveincome #binaryoptions #financialliteracy #warrenbuffet #blockchain #dalalstreet #entrepreneurship #optionstrading
NSE:BANKNIFTY1!Short
by shailendra82810
nifty 50#stockmarket #investing #stocks #trading #money #investment #finance #forex #invest #investor #business #financialfreedom #nifty #entrepreneur #sharemarket #bitcoin #trader #stock #wallstreet #cryptocurrency #daytrader #sensex #wealth #forextrader #daytrading #nse #bse #success #forextrading #bhfyp#motivation #stockmarketindia #crypto #stockmarketinvesting #technicalanalysis #indianstockmarket #millionaire #stocktrading #intraday #profit #swingtrading #forexsignals #trade #india #passiveincome #binaryoptions #intradaytrading #niftyfifty #warrenbuffet #investingtips #investments #investors #entrepreneurship #banknifty #stockmarkets #market #rich #financialliteracy #forexlifestyle #nasdaq
NSE:NIFTY
by VP-Trader0021
Berger Paints (W): Neutral-Bullish, Support Defense Pre-Earnings(Timeframe: Weekly | Scale: Logarithmic) The stock is defending a 3-year critical support zone (₹440–₹450) just days before its Q3 results. While the technical reversal signal (Hammer) is present, the immediate direction will be dictated by the earnings reaction on Feb 5. 🚀 1. The Fundamental Catalyst (The "Why") The technical bounce is tentative due to the upcoming event: > Q3 FY26 Earnings (Feb 5): The market is cautious. If Berger manages to show volume growth (which has been a struggle for peers like Asian Paints), this support will act as a "Springboard." > Valuation vs. Growth: The stock has corrected significantly from its ATH, compressing its P/E multiple. The market is looking for signs that the "Paint Wars" (competition from Grasim/Birla Opus) impact is priced in. 📈 2. The Chart Structure (Descending Triangle) > The Floor (Support): ₹440 – ₹450 , this zone has bounced the stock in May 2022, Feb 2023, Jun 2024, Dec 2024 and now Jan 2026. - Significance: A break below this would open a trapdoor to ₹380. The fact that it held last week is a positive sign for bulls. > The Ceiling (Resistance): The angular trendline connecting the Lower Highs is currently coming down near ₹560 – ₹580. 📊 3. Volume & Indicators > Volume: Volume is low. This "drying up" near the apex of a triangle is normal. It indicates that sellers are exhausted, but buyers are hesitant until the news (Earnings) is out. > RSI: Rising from oversold zone in all timeframes. 🎯 4. Future Scenarios & Key Levels The trade hinges on the Feb 5 Earnings reaction. 🐂 Bullish Reversal (The Bounce): - Trigger: A weekly close above ₹480 (Post-Earnings). - Target 1: ₹530. - Target 2: ₹580. 🛡️ Support (The "Line in the Sand"): - Immediate Support: ₹450. - Stop Loss: A weekly close below ₹440 would invalidate the 3-year support and trigger a capitulation fall. Conclusion This is a "High Stakes" Setup . > Refinement: The "Hammer" is a buy signal, but the Earnings Event (Feb 5) adds binary risk. > Strategy: - Safe Play: Wait for the earnings reaction.
NSE:BERGEPAINTLong
by Learn_with_Pth0mas
1
Everyone Asking Why $PIPPIN Did a 30x in a Few Days Is Already LEveryone Asking Why CRYPTOCAP:PIPPIN Did a 30x in a Few Days Is Already Late (Read Before You Trade) CRYPTOCAP:PIPPIN did not rally 30x because of innovation. It rallied because market structure allowed it to. No presale. No venture capital. No team allocation. From Pump.fun to $300M+ market cap in days. Here is the reality 👇 1️⃣ Separate narrative from mechanics Markets do not move on stories. They move on liquidity, positioning, and leverage. CRYPTOCAP:PIPPIN ’s move was structural, not fundamental. Anyone telling you otherwise is selling a narrative. 2️⃣ Launch mechanics defined tradability CRYPTOCAP:PIPPIN launched on Pump.fun via a fair-launch bonding curve. 🔹 No private allocations 🔹 No insider inventory 🔹 Uniform market access This removed early insider dumping, It did not remove downside risk. 3️⃣ Tokenomics were neutral, not bullish ▪️ 1B fixed supply ▪️ 100% circulating ▪️ No future unlocks ▪️ No inflation Clean structure reduces uncertainty. It does not create demand. Demand came from positioning, not supply math. 4️⃣ AI credibility acted as a filter, not a driver Association with BabyAGI’s creator improved narrative quality. It did not justify valuation. It lowered skepticism. Narratives don’t need depth, They need acceptance and distribution. 5️⃣ Pre-breakout behavior followed a known pattern Before expansion, we observed: 🔸 Tight consolidation 🔸 Low public attention 🔸 Increasing large-wallet activity This is where asymmetric risk is formed. Retail reacts later. 6️⃣ Expansion phase was mechanical Once volume accelerated: 🔹 Leverage increased 🔹 Shorts were liquidated 🔹 Exchanges amplified liquidity 🔹 Momentum systems engaged From this point, price discovery becomes reflexive. 7️⃣ Risk concentration is non-trivial On-chain data indicates significant supply concentration. A small group of wallets controls a meaningful share of float. This introduces binary risk: 🔹 Support continuation 🔹 Or rapid distribution Liquidity disappears faster than it appears. 8️⃣ This asset class demands precision CRYPTOCAP:PIPPIN is best described as: 👉 A high-beta momentum instrument 👉 A narrative-driven liquidity event It is not: ❌ A long-term investment vehicle ❌ A fundamentals-based AI allocation ❌ Capital-preservation oriented Volatility is a feature, not a flaw. 9️⃣ Where participants fail Most losses occur when traders confuse: 🔹 Narrative with valuation 🔹 Momentum with durability 🔹 Fair launch with safety Markets punish conceptual errors quickly. 1️⃣0️⃣ Final assessment CRYPTOCAP:PIPPIN is not a forecast. It is a case study in modern crypto market behavior. Success in this market comes from understanding: 👉 Structure 👉 Liquidity 👉 Timing 👉 Risk Not belief. This is a high-risk memecoin environment. Position sizing and discipline are mandatory. Follow for institutional-grade crypto analysis. NFA & DYOR
Long
by CryptoPatel
Bullish in all time frame good for swing tradingExpert Quantitative Analysis: Constructing High-Conviction Technical Momentum Screeners on Screener.in I. Executive Summary: The Quantitative Rationale for Trend-Following The successful implementation of quantitative swing trading strategies necessitates a disciplined approach to stock selection, focused on identifying assets where structural trends align with immediate momentum and institutional liquidity. This report outlines the construction of a multi-factor technical momentum screener designed specifically for the Screener.in platform. The resulting query identifies companies exhibiting established bullish structural trends, characterized by a long-term moving average alignment, confirmed by short-term price strength, significant trading volume, and adequate market capitalization for tradability. The core strategy is rooted in classical trend-following principles, specifically leveraging the "Golden Crossover" where intermediate-term price action surpasses the long-term historical mean. Quantitative strategies gain validity when multiple, independent indicators converge to confirm the same directional bias. The simultaneous use of Moving Averages (defining trend structure), Relative Strength Index (measuring momentum velocity), and Volume (confirming institutional conviction) drastically reduces the incidence of false positives, which is critical for maximizing signal quality and minimizing drag in an execution environment. The report also addresses the platform’s limitations, proposing compensation strategies, including hybrid fundamental filters and proxies for sophisticated volatility analysis like the Volatility Contraction Pattern (VCP). II. Architectural Analysis: Platform Constraints and Data Normalization 2.1 Screener.in's Quantitative Bias and the Limitation of Quantification As an analytical tool, Screener.in focuses heavily on quantifiable financial and technical metrics. This specialization introduces a known limitation: the exclusion of crucial qualitative factors necessary for comprehensive due diligence. No stock screener provides direct information regarding idiosyncratic risks such as pending lawsuits, unresolved labor problems, or deteriorating customer satisfaction levels. This confinement to quantifiable data requires the analyst to recognize that the output generated by the technical screener is merely a preliminary prospect list. A perfectly executed technical screen identifying stocks with optimal momentum characteristics can still yield a company facing severe fundamental or operational decay. The inherent limitation of quantification implies that post-screening qualitative and fundamental due diligence is a mandatory step to mitigate non-financial, idiosyncratic risks. Furthermore, analysts must be mindful of the data integrity. Since screeners rely on databases that update on varying schedules, verifying the relevance and timeliness of the data is paramount; untimely data renders the screening exercise analytically meaningless. 2.2 Data Integrity and Internal Calculation Adjustments The reliability of any screening query, particularly those integrating fundamental filters, depends on the underlying calculation methodology. Screener.in standardizes several key financial ratios, enhancing data robustness. For example, when calculating important metrics such as Price to Earnings (P/E) and Return on Capital Employed (ROCE), the platform removes extra-ordinary items. This adjustment is vital as it provides a cleaner, normalized measure of core operational performance and valuation, filtering out one-time windfalls or losses that might otherwise distort the perception of a company's sustained profitability. Additionally, the platform prioritizes Trailing-12-Months (TTM) numbers where available. The utilization of TTM metrics smoothes out volatility and seasonality inherent in raw quarterly data, offering a more stable and representative view of financial health, which is a significant advantage when combining technical and fundamental filters. The standardization also extends to capital efficiency metrics. For calculating Return on Equity (ROE) and ROCE, the platform uses the average of the opening and closing capital employed. This practice prevents distortions caused by large, sporadic injections or withdrawals of capital at period ends, ensuring the calculated return ratios accurately reflect the efficiency of capital utilization over time. This standardization increases the confidence in integrating fundamental quality screens, such as a minimum ROCE requirement, alongside technical filters. Screener.in Calculated Ratio Adjustments Ratio Calculation Adjustment Quantitative Implication Price to Earnings (P/E) Exclusion of Extra-Ordinary Items Cleaner, normalized measure of valuation based on core profitability. Return on Capital Employed (ROCE) Exclusion of Extra-Ordinary Items; Use of Average Capital Employed Higher integrity in measuring management efficiency and capital allocation. Various Financials Use of Trailing-12-Months (TTM) Smoother, less volatile representation of financial performance, avoiding quarterly seasonality. 2.3 Query Language Structure and Syntax The Screener.in engine utilizes a straightforward, yet powerful, query language based on simple comparison logic (e.g., > or <) and supports the linkage of multiple criteria using Boolean operators such as AND and OR. This structure facilitates the creation of complex, layered screens, allowing the analyst to define a high-specificity profile that simultaneously satisfies requirements for trend, momentum, liquidity, and even quality. For example, screens can combine technical requirements (like DMA comparisons) with fundamental thresholds (like Market Capitalization, P/E, and ROCE) seamlessly. III. Core Component 1: Defining the Macro Trend (Structural Analysis) The foundation of any successful momentum or swing trading strategy is identifying a stock whose long-term structural integrity remains bullish. This structural analysis is best accomplished through the comparison of long-term and intermediate-term moving averages. 3.1 Structural Integrity: The Golden Crossover The primary filter for confirming a sustained bullish structural trend is the Golden Crossover, defined as the 50-day Moving Average (DMA 50) crossing above the 200-day Moving Average (DMA 200). The 200 DMA represents the long-term price trend, spanning approximately ten months of trading, while the 50 DMA represents the intermediate trend, reflecting two to three months of price action. When the intermediate trend surpasses the long-term trend, it signals that the recent price momentum is strong enough to sustain an overall bullish market phase. The required filter for structural trend confirmation is expressed as: DMA 50 > DMA 200. 3.2 Mandatory Price Positioning (Immediate Strength) While the Golden Crossover confirms the overall structural bias, it does not guarantee immediate buying interest; a stock might still be consolidating or pulling back toward the 50 DMA within an established bull trend. To maximize bullish momentum at the point of screening, it is necessary to filter for current price strength. By ensuring the current trading price is above the 50 DMA, the screen isolates stocks actively trending upward, rather than those undergoing a deep correction or consolidation phase. The required filter for immediate strength is: Current price > DMA 50. 3.3 Moving Average Methodology and Implications Technical analysis platforms distinguish between Simple Moving Averages (SMA) and Exponential Moving Averages (EMA). EMA applies greater weight to recent price data, making it more responsive and exhibiting lower latency compared to the SMA. While Screener.in uses the general term "DMA" , the typical implementation for major structural trends in conventional screeners defaults to SMA. The selection of moving average methodology impacts strategy latency. If "DMA" defaults to SMA, the trend signal exhibits higher latency but offers greater stability and reliability over extended periods, making the structural filter robust against minor price fluctuations (whipsaws). This methodology ensures the resultant list is suitable for medium-term swing and position trading, aligning with the strategic objective of high-conviction momentum detection. IV. Core Component 2: Ensuring Tradability and Liquidity For effective algorithmic or discretionary trading, the selected stocks must possess sufficient liquidity to handle the required position size without significant price slippage during entry or exit. This requires filters based on both company size and trading volume. 4.1 Market Capitalization Thresholds (Risk Mitigation) Market Capitalization serves as an excellent proxy for liquidity and institutional interest. Stocks with low market capitalization (e.g., micro-caps under Rs 500 Cr.) are inherently prone to higher volatility and potential manipulation. By setting a minimum market cap threshold, the screener targets established companies that attract greater institutional oversight and exhibit more stable price action. Screener examples show various thresholds, such as Market Capitalization > 500 and Market Capitalization > 1000. For a high-conviction screen targeting stocks with substantial liquidity and institutional appeal, a minimum threshold of Rs 1000 Cr. is recommended. The filter applied is: Market Capitalization > 1000 4.2 Volume Confirmation: Identifying Institutional Accumulation A price movement, especially one confirmed by the Golden Crossover, requires validation from trading volume. Increased volume accompanying a price rise signals strong institutional or heavy retail interest, lending conviction to the momentum signal. Filtering for above-average trading volume provides confidence that the move above the moving averages is strongly supported and likely to continue. The platform supports comparative volume metrics, allowing the volume of the latest day/week to be compared against historical averages, such as the 1-month average. The analysis suggests calibrating volume sensitivity carefully. While extremely aggressive filters, such as requiring volume to be five times the monthly average (Volume > Volume 1month average * 5) , indicate an explosive, often climax-like event, this magnitude frequently signals the tail end of a massive move or a short-lived anomaly. For sustainable swing trade setups that reflect consistent accumulation, a moderate yet significant volume increase is preferred. Requiring volume to be at least two times the 1-month average provides confirmation of heavy buying pressure without demanding an unsustainable spike. The required filter for confirmed accumulation is: Volume > Volume 1month average * 2 V. Core Component 3: Confirming Momentum and Price Health (Oscillators) Oscillators are essential for measuring the velocity of the current price trend and ensuring that the stock is participating robustly in the uptrend identified by the moving averages. 5.1 Relative Strength Index (RSI) for Momentum Velocity The Relative Strength Index (RSI) measures the magnitude of recent price changes to evaluate overbought or oversold conditions. For bullish swing trading, the objective is to find stocks that demonstrate strong bullish momentum (RSI above 50) but have not yet entered immediate overbought territory (typically 70 or higher), thus retaining headroom for price appreciation. Combining the structural trend filter (DMA 50 > DMA 200) with an RSI filter ensures that not only is the trend structurally up, but the stock is also currently experiencing active buying pressure and momentum. The minimum threshold to confirm bullish velocity is 50. The required momentum filter is: RSI > 50. 5.2 Secondary Confirmation: MACD Crossover Analysis The Moving Average Convergence Divergence (MACD) indicator provides a lagging, trend-following momentum signal derived from the difference between two exponential moving averages. Screener.in supports screening for the MACD crossing its signal line. The MACD filter serves as an optional, secondary confirmation signal. The standard, default MACD settings utilized by most analytic platforms, including the likely standard for Screener.in, are: Fast Length (12 periods), Slow Length (26 periods), and Signal Line (9 periods), typically all based on the closing price using Exponential Moving Averages (EMA). Since the platform does not offer customization for these parameters, the MACD filter functions as a binary confirmation based on conventional, intermediate-term settings. A bullish MACD crossover—where the MACD line moves above the signal line—suggests accelerating momentum. An optional filter for MACD confirmation: Use the pre-defined screen or filter if available on the Screener.in interface: MACD crossing the MACD Signal Line. VI. Synthesis: The Master Technical Screener Query The synthesis of the core components yields a high-conviction technical momentum screen. This query is designed to systematically eliminate low-quality, illiquid, or non-trending stocks, leaving a refined list of candidates suitable for swing trading entry. 6.1 The High-Conviction Momentum Query Logic The final query combines all five essential criteria using the AND operator to ensure that every stock identified satisfies the requirements for structural trend, short-term strength, bullish momentum, high liquidity, and confirmed institutional accumulation. 6.2 Final Optimized Query Syntax The Master Technical Screener Query Component Constraint / Rationale Screener.in Query Syntax Source(s) Structural Trend Golden Crossover (50-day above 200-day) DMA 50 > DMA 200 Immediate Trend Current price above short-term support Current price > DMA 50 Momentum Health Strong bullish pressure, not overbought RSI > 50 Liquidity Minimum Filtering for stable mid/large-cap stocks Market Capitalization > 1000 Accumulation Spike Confirmed by significant buying volume Volume > Volume 1month average * 2 Full Compound Query (Combines all above with AND logic) DMA 50 > DMA 200 AND Current price > DMA 50 AND RSI > 50 AND Market Capitalization > 1000 AND Volume > Volume 1month average * 2 Multiple 6.3 Step-by-Step Implementation Guide on Screener.in The execution of this query follows a standardized process: Access the Creation Tool: Navigate to the Screener.in homepage and click on the "Create a stock screen" option, typically found in the tools menu or main navigation. Input the Query: Copy and paste the full compound query string directly into the main search box provided for customized queries. Run and Review: Execute the query by clicking "Run this Query." Save and Monitor: To ensure the analyst can track signals dynamically, the screen should be saved for future use and an email alert set up. This step is crucial for capturing trade signals in real-time as market data and TTM financials are updated. VII. Advanced Quantitative Techniques: Simulating Volatility Contraction and Quality (VCP/ATR Proxy) While the Master Technical Screener focuses on momentum breakouts, algorithmic strategies often benefit from identifying consolidation patterns before the breakout occurs. This requires measuring volatility contraction, a concept often associated with the Volatility Contraction Pattern (VCP). 7.1 The Limitation of Direct Volatility Measurement Advanced volatility metrics, such as Average True Range expressed as a percentage of price (ATR%), are essential for comparing volatility relatively across different instruments and timeframes. ATR% is calculated by dividing the ATR (a measure of true price range, including gaps) by the closing price and multiplying by 100. This normalization is crucial for identifying market regime shifts (volatility expansion/contraction). However, standard screeners like Screener.in typically lack the complex syntax necessary to calculate and filter using this normalized metric directly. Consequently, to identify stocks forming a VCP—which typically requires proximity to a high, contracting volatility, and contracting volume —the analyst must construct robust proxies using available platform filters. 7.2 Proxy 1: Price Proximity to Highs The VCP pattern usually culminates in a tight price contraction near a pivot point (a recent high), signaling that supply has dried up and the price is poised for a high-volume breakout. We can simulate this proximity by requiring the current price to be within a certain percentage of its historical high price. A constraint requiring the price to be greater than 85% of its high price is a commonly used method to isolate stocks near breakout potential. VCP Filter (Proximity): Current price > 0.85 * High price 7.3 Proxy 2: Volume Contraction In contrast to the momentum screen, which seeks expanding volume (accumulation), the VCP setup requires contracting volume during the consolidation phase. Contracting volume signifies that the sellers who opposed the previous high have been exhausted, confirming reduced selling pressure before the expected price expansion. This requires the recent average volume to be lower than the intermediate average volume. VCP Filter (Contraction Volume): Volume 1week average < Volume 1month average 7.4 Proxy 3: Integrating Fundamental Quality for VCP Conviction VCP is often most reliable when observed in fundamentally strong companies. Institutional investors typically maintain large positions in quality firms, leading to consolidation patterns as they hold through volatility, allowing supply to diminish naturally. Integrating filters for efficient capital deployment (ROCE) and sales growth leverages the platform’s reliable, TTM-based fundamental data. Requiring a high ROCE (e.g., above 22%) and robust multi-year sales growth ensures that the technical pattern is backed by demonstrable corporate performance. VCP Filter (Quality): Return on Capital Employed > 22% AND Sales growth 3Years > 25% 7.5 The VCP Proxy Screener (Alternative Consolidation Query) This alternative query identifies stocks in a strong structural uptrend that are currently consolidating with low volume near recent highs, suggesting they are primed for a high-volume momentum breakout. VCP (Volatility Contraction Pattern) Proxy Screener Query Component VCP Concept Proxied Screener.in Query Syntax Source(s) Structural Trend Long-term support for pattern DMA 50 > DMA 200 Pivot Proximity Price near historical resistance Current price > 0.85 * High price Volume Contraction Quiet consolidation/drying up of supply Volume 1week average < Volume 1month average (Implied) Fundamental Quality Institutional holding conviction Return on Capital Employed > 22% AND Sales growth 3Years > 25% VIII. Risk Management and Algorithmic Workflow Integration 8.1 The Techno-Fundamental Hybrid Approach To mitigate the technical blind spots inherent in pure momentum screens (such as identifying stocks that are Market Laggers rather than true Momentum Stocks ) and to address the platform's qualitative limitations , the final workflow must integrate foundational fundamental filters. These hybrid checks add a layer of financial soundness to the technically generated signal. Examples provided in the Screener.in syntax demonstrate the integration of valuation and efficiency metrics alongside technical criteria. Recommended hybrid filters, applied after the technical criteria are met, include: A valuation cap to avoid excessively speculative pricing: Price to earning < 30. A minimum efficiency standard: Return on Capital Employed > 20%. 8.2 Dynamic Monitoring and Alert Systems Momentum-based strategies thrive on timely execution. The dynamic nature of price and volume data necessitates rapid responsiveness. After saving the high-conviction query, the crucial step of setting up email alerts ensures that the analyst receives actionable trade signals immediately following the update of daily technical data and TTM figures. This dynamic monitoring transforms the static screen into a proactive detection system. 8.3 Defining Exit Criteria (Stop-Loss Reference) A robust quantitative framework necessitates that the criteria used for entry are structurally linked to the criteria used for exit. The moving averages utilized in the initial screen serve as ideal dynamic stop-loss references. If a stock is selected because its price demonstrates strength, specifically due to the constraint Current price > DMA 50 , the subsequent breaking of the 50 DMA constitutes a clear invalidation of the short-term trend premise. The logical extension of this rule is that the 50 DMA should function as the initial stop-loss reference (whether implemented as a hard or mental stop). This critical linkage ensures the screening input directly dictates a key risk management output, completing a systematic and objective trade lifecycle. 8.4 Industry-Specific Blind Spots Technical analysis should always be contextualized by industry norms. The analyst must recognize that screeners inherently possess industry-specific blind spots. For instance, expecting very low Price to Earnings (P/E) valuations in high-growth technology companies is often unrealistic due to sector-specific valuation methodologies. Therefore, if the general P/E filter (e.g., P/E < 30) excessively limits results in a fast-growing sector like IT Services or Financial Technology , the analyst should consider running the screen specifically within those sectors and adjusting the P/E multiplier upward. Conversely, running the screen across highly cyclical industries (e.g., Metals & Mining) may require stricter P/E controls or prioritizing ROCE and growth metrics over short-term valuation. This specialized tuning based on sector analysis maximizes the efficacy of the momentum strategy by adjusting for industry-standard valuation deviations.
NSE:KMEWLong
by kittusonu
1
Domestic Resilience VS Global CautionNifty holds 25,850; AI / Nvidia risk remains the primary external overhang. The Nifty 50 showed notable strength on 19 November 2024. The session opened with mild selling pressure but quickly stabilised at the 25,850 zone, a level that has been protected for three consecutive sessions. Neither the 5-minute nor the 15-minute timeframe has produced a clean candle close below this region, indicating the presence of steady demand at this support. During the day, the index encountered supply at 25,925–25,935, a zone that rejected price action in the previous session. This time, however, that supply was absorbed. Recovery from the same levels that failed earlier is a sign of improving intraday strength. Despite broadly weaker global markets and declines across major Asian peers, Indian indices held firm, signalling that domestic valuations, which were previously a concern, have become more balanced and attractive to buyers. From a broader perspective, the Indian market has not posted a new all-time high since late September 2024, yet it has successfully navigated several global shocks without experiencing a structural breakdown. Even when the market dipped towards the 22,000 range earlier in the year, the selling never evolved into capitulation. Each decline created opportunities for long-term investors, and the index continues to trade in the upper band of its long-term range. This persistence underscores the “New India” and “Invest in India” narrative where structural reforms, domestic consumption, and macro stability contribute meaningfully to market resilience. For now, the domestic backdrop remains constructive. Inflation has moderated compared to earlier spikes, tax rationalisation and consumption-linked GST cuts have supported household spending, and a stable policy environment has allowed investment and capex cycles to continue without interruption. Institutional flows reflect this dynamic: foreign investors have remained selective, but domestic institutions and mutual funds have consistently provided depth during periods of global volatility, preventing one-sided declines. Two external variables, however, remain crucial. The first is global sentiment surrounding the artificial intelligence cycle. Nvidia’s quarterly results, due this week, have become a global event risk because AI-linked stocks dominate US index weightage and investor positioning. While market leaders such as Nvidia and Microsoft continue to generate strong earnings, valuation concentration and rapid capital allocation into AI themes have left the broader market sensitive to any disappointment. A weaker-than-expected print could trigger de-risking across global equities, including India, even if domestic fundamentals remain intact. Conversely, a strong set of results could stabilise sentiment and support risk appetite. The second factor is the ongoing India–US trade negotiations. Recent commentary from both sides has been constructive, and the possibility of a mutually beneficial deal remains on the table. Such an agreement would act as a structural uplift for multiple Indian sectors, especially manufacturing and export-oriented industries. However, until there is clarity, this remains a binary trigger capable of influencing short-term direction. Technically, Nifty continues to maintain a constructive structure. The 25,850–25,900 band remains first support, and a daily close below 25,700 would be required to signal weakening momentum. On the upside, the 26,100–26,300 zone represents major overhead supply. A sustained close above this region would indicate a shift toward the next leg of the long-term uptrend. On the lower timeframes, supply absorption at 25,925–25,935 and the sequence of higher lows across hourly and four-hour charts indicate that buyers remain in control unless external shocks intervene. Given current conditions, it is reasonable to expect that the market will hold above 25,850 as long as no adverse global triggers emerge. If global cues stabilise and if progress on the India–US trade front accelerates, the index has room to resume its upward trajectory, potentially targeting the 29,000 region over the next several months. Conversely, any negative surprise from global technology earnings or policy developments may introduce volatility, but even such phases are likely to provide opportunities in a structurally strong domestic market. Overall, India remains fundamentally well-positioned. The market has handled volatility with resilience, buyers have defended critical supports, and structural drivers continue to anchor long-term confidence. The near-term requires caution due to global event risk, but the medium- to long-term outlook remains favourable for disciplined investors.
NSE:NIFTY
by DrAayushGoyal
$TRUMP MEMECOIN: -98% DRAWDOWN ANALYSIS$TRUMP MEMECOIN: -98% DRAWDOWN ANALYSIS TECHNICAL BREAKDOWN: ▶️ ATH Distribution: $70 (Exit signal executed) ▶️v Current Price Action: 98% retracement from peak ▶️ Market Structure: Parabolic blow-off → capitulation phase complete ▶️ Performance validates early exit thesis. CURRENT MARKET STRUCTURE: ▶️ Bias: Bearish continuation ▶️ Key Resistance: $8.00 (structural pivot) ▶️ Invalidation Level: Sustained break above $8 with volume ▶️ Breakout scenario → $50 measured move target ▶️ Probability: Low (requires liquidity catalyst) SPECULATIVE OPPORTUNITY (HIGH RISK): ▶️ Asset Class: Extreme volatility / lottery ticket ▶️ Entry Thesis: 92% discount from ATH = asymmetric R/R ▶️ Position Allocation: 1-2% max portfolio weight ▶️ Time Horizon: 12-24 month hold ▶️ Stop Loss: Total loss acceptable ▶️ This is binary outcome speculation, not investing. INSTITUTIONAL PERSPECTIVE: ▶️ Celebrity token = coordinated distribution to retail ▶️ Tokenomics favor insiders ▶️ Liquidity profile indicates exit event completed ▶️ Capital preservation >> speculative moonshots Risk Disclosure: Speculative asset. Trade accordingly. ⚠️ NOTE: Never invest hard-earned money in celebrity/influencer tokens. These are engineered liquidity extraction schemes, not legitimate projects. Capital preservation > moonshot gambling. NFa & DYOR
Short
by CryptoPatel
Silver at Warzone – Breakout or Bloodbath? (XAG/USD D1 Analysis)Silver is trading at one of the most critical inflection zones in recent years. The chart shows a clear double top formation near the $33 mark (TOP1 & TOP2), but don’t be fooled — this setup could flip either way, with massive implications. 🔻 Bearish Outlook – Double Top Breakdown in Play Price rejected twice at the same zone (~$32.5–33), forming a textbook double top. If price breaks below $28.80 (neckline zone), it confirms the pattern. Breakdown could lead to a violent drop with targets: 📉 $28.00 (psych level) 🎯 $22.73 (structural support) 🎯 $20.76 (macro base) This setup aligns with a potential DXY bounce, tightening by the Fed, or global demand slowdown. 🟢 Bullish Flip – Breakout Above $33 Could Be Legendary If Silver breaks $33+ with strong volume, the double top is invalidated. This flips the narrative into a high timeframe breakout of a multi-year wedge. Next targets open wide: 🚀 $36.00 (intermediate breakout zone) 🚀 $40–50 (parabolic rally territory) Macro catalysts: Dovish Fed, USD weakness, or global geopolitical tensions. ⚠️ Final Take: This is a binary setup. Break below $28.80 = confirmed crash. Break above $33 = breakout rally. No middle ground. Watch price and ride the move. 📌 Trade the confirmation, not the prediction. #Silver #XAGUSD #Commodities #PriceAction #TechnicalAnalysis #Breakout #TradingView #Metals #DoubleTop #Wedge #VolatilityAhead
OANDA:XAGUSD
by sparkrlight
The Question - Sir, how is market going to be tomorrow? Sir, how is market going to be tomorrow? Bullish or Bearish? See, I never go into the market with that binary view. I just be the part of the big picture. As a trader I'm a pixel. I cannot analyse the whole picture. Rather, I can just try to find the place where the probability of fitting me is the highest and where I can stay put with high confidence as long as I need. I just find out which setup fits my strategy. What's my risk here. What could be the reward. How am I going to handle the trade if the trade doesn't go as planned? What's the odd here? A bit more "setup checking" technicality in-between but that's the learning material. You need to train yourself for those tiny hints which decide whether a stock is convincing or not. I place my order. I wait for the confirmed Pivot. As soon as the order gets executed I place my SL in the system. Then I let the market decide the move. My target hits, I'm out. My SL hits - I'm out. No feelings. Stick to the plan. So here you go - whoever asks if the market is Bullish or Bearish? - Well, learn to ask the right questions. You will get the right answer. Godspeed to your journey. May it be inspiring as hell. #Learning #Trading #StockMarket #StockToWatch
NSE:NIFTY
by Trendxinc