Get started

Wave Analysis

MCX 1 Hour ViewMCX 1-Hour Time Frame Levels (Structured View) Current Price: ₹8,550 (as of 19th Sep 2025, 11:36 AM IST) Trend Analysis (1H): Short-term: Slightly bullish Price action: Higher highs and higher lows in an upward channel Key Levels: Support Levels: ₹8,400 – Major intraday support ₹8,300 – Strong support for potential bounce Resistance Levels: ₹8,650 – First intraday resistance ₹8,750 – Strong resistance, breakout confirmation above this Indicators: RSI (1H): ~60 → Moderate bullish momentum Moving Averages (1H): MA 20 above MA 50 → Supports bullish trend MA alignment confirms upward momentum Intraday Trading Notes: Watch price reaction at ₹8,400 and ₹8,650 for reversal or breakout setups Candlestick patterns near support/resistance levels can indicate entry/exit Keep an eye on broader market news affecting commodities
NSE:MCXLong
by TechnicalExpress
1
Sentiment-Driven Surges: Understanding Modern Market Explosions1. Market Sentiment: Definition and Importance 1.1 What is Market Sentiment? Market sentiment refers to the overall attitude of investors toward a particular security or financial market. It represents the collective feelings, perceptions, and expectations of market participants about future price movements. Unlike fundamental analysis, which evaluates intrinsic value based on financial metrics, sentiment analysis focuses on how participants feel and act. Market sentiment can be bullish (positive, expecting price increases) or bearish (negative, expecting price declines). It often drives momentum trades—buying when others buy, selling when others sell—creating self-reinforcing feedback loops. 1.2 Why Sentiment Matters While fundamentals provide the baseline value, sentiment often dictates short-term market dynamics. Stocks with strong earnings may stagnate if investor sentiment is negative, while speculative assets can skyrocket without fundamental support, as seen in numerous “meme stock” rallies. Key points: Sentiment amplifies price volatility. It can override fundamental signals in the short term. It often creates market bubbles and flash crashes. 2. Drivers of Sentiment-Driven Surges Several factors can trigger sentiment-driven market explosions. Understanding these drivers is essential for anticipating sudden price movements. 2.1 Social Media and Retail Trading Communities In the digital era, platforms like Twitter, Reddit, Telegram, and Discord allow retail investors to coordinate actions rapidly. The 2021 GameStop saga is a prime example: Retail traders organized online to push the stock price upward. Short sellers were forced to cover positions, creating a short squeeze. Price movement was largely independent of fundamentals. Impact: Social media has transformed market psychology into a highly visible, amplifiable force. Viral narratives can trigger mass buying or selling within hours. 2.2 Algorithmic and High-Frequency Trading (HFT) Algorithms react to market sentiment indicators, news, and price trends faster than humans can. Sentiment-based trading algorithms scan news feeds, tweets, and financial forums to predict market direction. Positive sentiment triggers buying algorithms, increasing upward momentum. Negative sentiment triggers selling algorithms, exacerbating declines. Impact: HFT accelerates sentiment-driven surges, making them more extreme and less predictable. 2.3 Economic Data and Policy Announcements Macroeconomic events, central bank policy changes, or earnings announcements can shape sentiment quickly. Rate hikes: Markets may panic or rally based on perceived economic impact. Inflation data: Surprising figures can trigger bullish or bearish sentiment. Earnings surprises: Positive surprises can ignite rapid buying in stocks, sometimes overshooting intrinsic values. 2.4 Herding Behavior Humans have an innate tendency to follow the crowd. Once a price starts moving, others often join in, creating momentum: Fear of missing out (FOMO) amplifies upward surges. Panic selling accelerates downward crashes. Impact: Herding behavior often turns small sentiment shifts into large market movements. 3. Mechanisms Behind Market Explosions Market surges do not occur in isolation. They are the result of interconnected feedback loops that magnify sentiment. 3.1 Momentum and Feedback Loops When investors see prices rising, they buy more, driving prices higher—a self-reinforcing loop. Conversely, negative sentiment triggers rapid sell-offs. Feedback loops are amplified by: Social media chatter Trading algorithms News coverage emphasizing price movements 3.2 Short Squeezes and Gamma Squeezes Short positions are vulnerable during sentiment surges: Short squeeze: Short sellers must buy back shares as prices rise, pushing prices further upward. Gamma squeeze: Options market hedging by institutions forces more buying as underlying stock prices rise. These mechanisms can make sentiment-driven surges explosive, often detached from fundamentals. 3.3 Liquidity and Market Depth In low-liquidity conditions, small buy or sell orders can cause large price swings. Market sentiment can exploit these situations, leading to sharp, short-term surges. Retail-driven markets often exhibit low liquidity, enhancing volatility. Institutional players can manipulate perception to induce sentiment-driven movements. 4. Case Studies: Modern Market Explosions 4.1 GameStop (GME) – 2021 Coordinated retail buying triggered a massive short squeeze. Price rose from $20 to over $400 in weeks. Media coverage further fueled sentiment, creating global awareness. Lesson: Social media combined with short vulnerabilities can cause extreme surges. 4.2 AMC Entertainment – 2021 Retail investors used sentiment-driven strategies to push stock prices up. Options trading amplified the impact via gamma squeezes. Fundamental financial health was largely irrelevant during the surge. Lesson: Sentiment can dominate fundamentals, especially in low-liquidity assets. 4.3 Cryptocurrencies Bitcoin and altcoins frequently experience sentiment-driven surges. Tweets from influential figures (e.g., Elon Musk) can trigger massive price swings. Speculative trading, FOMO, and global access make crypto highly sentiment-sensitive. Lesson: Digital assets are extremely prone to narrative-driven price explosions. 5. Measuring Market Sentiment To understand and anticipate surges, traders need reliable sentiment metrics. 5.1 Technical Indicators Relative Strength Index (RSI): Measures overbought or oversold conditions. Moving averages: Trends combined with sentiment data can indicate momentum. Volume spikes: Often signal emerging sentiment-driven activity. 5.2 Social Media Analytics Tweet volume and sentiment analysis: High positive mention frequency can indicate bullish momentum. Reddit/Discord monitoring: Large posts and discussions can foreshadow retail-driven surges. 5.3 News and Media Sentiment AI-powered sentiment analysis scans headlines and financial news. Positive coverage often triggers short-term buying, negative coverage triggers selling. 5.4 Options Market Sentiment High open interest and unusual options activity often precede price surges. Call/put ratios indicate market expectations. 6. Trading Strategies Around Sentiment Surges Traders can leverage sentiment-driven dynamics, but risk management is crucial. 6.1 Momentum Trading Buy when sentiment is strongly bullish and prices are rising. Use technical indicators for entry and exit points. Watch volume and volatility for confirmation. 6.2 Contrarian Trading Identify overextended sentiment-driven rallies. Sell into extreme optimism or buy during panic. Requires careful risk management and timing. 6.3 Event-Driven Sentiment Trades Track scheduled events like earnings releases, policy announcements, or influencer posts. Anticipate sentiment reactions and position accordingly. 6.4 Risk Management Set stop-loss and take-profit levels to manage volatility. Avoid over-leveraging during explosive surges. Diversify exposure to minimize emotional decision-making. 7. Risks and Challenges While sentiment-driven surges offer opportunities, they carry significant risks: Volatility: Prices can reverse sharply, leading to losses. Speculation vs. fundamentals: Trading purely on sentiment ignores intrinsic value. Market manipulation: Pump-and-dump schemes exploit sentiment. Psychological pressure: FOMO and panic can cloud judgment. Traders must balance the allure of explosive gains with the discipline of risk control. Conclusion Sentiment-driven surges represent a paradigm shift in modern financial markets. While traditional fundamentals remain important, the rapid dissemination of information, social media influence, algorithmic trading, and psychological behaviors have created conditions where sentiment alone can trigger explosive market moves. Understanding these surges requires a multi-dimensional approach—blending behavioral finance, technical analysis, social media monitoring, and risk management. For traders, recognizing sentiment signals, anticipating herding behavior, and using disciplined strategies can turn volatility into opportunity. Ultimately, modern markets are no longer just about what a company is worth—they are about what investors feel it is worth, and sometimes, those feelings can move the market faster than any earnings report ever could.
Education
by TechnicalExpress
4
Event-Driven Trading: Strategies Around Quarterly Earnings1. Understanding Event-Driven Trading Event-driven trading refers to strategies that seek to exploit short-term price movements caused by corporate or macroeconomic events. These events can include mergers and acquisitions (M&A), regulatory announcements, dividend announcements, product launches, and, most notably, quarterly earnings reports. Event-driven traders operate on the principle that markets do not always price in the full implications of upcoming news, creating opportunities for alpha generation. Earnings announcements are particularly potent because they provide concrete, quantifiable data on a company’s financial health, guiding investor expectations for revenue, profit margins, cash flow, and future outlook. Given the structured release schedule of quarterly earnings, traders can plan their strategies in advance, combining statistical, fundamental, and technical analyses. 2. Anatomy of Quarterly Earnings Reports Quarterly earnings reports typically contain several key components: Revenue and Earnings Per Share (EPS): Core indicators of company performance. Earnings surprises—positive or negative—often trigger substantial stock price moves. Guidance: Management projections for future performance can influence market sentiment. Margins: Gross, operating, and net margins indicate operational efficiency. Cash Flow and Balance Sheet Metrics: Provide insight into liquidity, debt levels, and overall financial health. Management Commentary: Offers qualitative insights into business strategy, risks, and opportunities. Understanding these elements is critical for traders seeking to anticipate market reactions. Historically, stocks tend to exhibit heightened volatility during earnings releases, creating both opportunities and risks for traders. 3. Market Reaction to Earnings The stock market often reacts swiftly to earnings announcements, with price movements reflecting the degree to which actual results differ from expectations. The reaction is influenced by several factors: Earnings Surprise: The difference between actual earnings and analyst consensus. Positive surprises often lead to price spikes, while negative surprises can trigger sharp declines. Guidance Changes: Upward or downward revisions to guidance significantly impact investor sentiment. Sector Trends: A company’s performance relative to industry peers can amplify market reactions. Market Conditions: Broader economic indicators and market sentiment affect the magnitude of earnings-driven price movements. Traders must understand that markets may overreact or underreact initially, presenting opportunities for both short-term and medium-term trades. 4. Event-Driven Trading Strategies Around Earnings 4.1 Pre-Earnings Strategies Objective: Position the portfolio ahead of anticipated earnings to profit from expected price movements. Straddle/Strangle Options Strategy Buy both call and put options with the same expiration (straddle) or different strike prices (strangle). Profitable when stock exhibits significant volatility regardless of direction. Works well when implied volatility is lower than expected post-earnings movement. Directional Bets Traders with conviction about earnings outcomes may take long or short positions in anticipation of the report. Requires robust fundamental analysis and sector insights. Pairs Trading Involves taking offsetting positions in correlated stocks within the same sector. Reduces market risk while exploiting relative performance during earnings season. 4.2 Post-Earnings Strategies Objective: React to market inefficiencies created by unexpected earnings results. Earnings Drift Strategy Stocks that beat earnings expectations often continue to trend upward in the days following the announcement, known as the “post-earnings announcement drift.” Conversely, negative surprises may lead to sustained declines. Traders can exploit these trends using momentum-based techniques. Volatility Arbitrage Earnings reports increase implied volatility in options pricing. Traders can exploit discrepancies between expected and actual volatility post-announcement. Fade the Initial Reaction Sometimes markets overreact to earnings news. Traders take contrarian positions against extreme initial moves, anticipating a correction. 5. Analytical Tools and Techniques Successful event-driven trading relies heavily on data, models, and analytical frameworks. 5.1 Fundamental Analysis Study revenue, EPS, margins, guidance, and sector performance. Compare against historical data and analyst consensus. Evaluate macroeconomic factors affecting the company. 5.2 Technical Analysis Identify key support and resistance levels. Use indicators like Bollinger Bands, RSI, and moving averages to gauge price momentum pre- and post-earnings. 5.3 Sentiment Analysis Monitor social media, news releases, and analyst reports for market sentiment. Positive sentiment can amplify price moves, while negative sentiment can exacerbate declines. 5.4 Quantitative Models Statistical models can predict probability of earnings surprises and subsequent price movements. Machine learning algorithms are increasingly used to forecast earnings-driven volatility and trade outcomes. 6. Risk Management in Earnings Trading Event-driven trading carries elevated risk due to volatility and uncertainty. Effective risk management strategies include: Position Sizing Limit exposure per trade to manage potential losses from unexpected moves. Stop-Loss Orders Predefined exit points prevent catastrophic losses. Diversification Spread trades across sectors or asset classes to reduce idiosyncratic risk. Hedging Use options or futures contracts to offset directional risk. Liquidity Assessment Ensure sufficient market liquidity to enter and exit positions without excessive slippage. Conclusion Event-driven trading around quarterly earnings offers substantial opportunities for informed traders. By combining fundamental analysis, technical tools, options strategies, and disciplined risk management, traders can capitalize on the predictable yet volatile nature of earnings season. While challenges exist, a structured and strategic approach allows market participants to profit from both anticipated and unexpected outcomes. The key to success lies in preparation, flexibility, and understanding market psychology. Traders who master earnings-driven strategies can achieve consistent performance, turning periodic corporate disclosures into actionable investment opportunities.
NSE:AXISBANKEducation
by TechnicalExpress
2
Market Reform Fallout: Opportunities Hidden in UncertaintyIntroduction In the ever-evolving landscape of global finance, market reforms—whether initiated by governments, central banks, or supranational entities—often usher in periods of heightened uncertainty. While such reforms aim to enhance economic stability, competitiveness, and growth, they can also lead to market volatility and investor apprehension. However, history has shown that amidst this uncertainty lie opportunities for those with the acumen to identify and capitalize on them. This article delves into the multifaceted impacts of market reforms, exploring both the challenges they present and the avenues they open for astute investors and policymakers. The Nature of Market Reforms Market reforms encompass a broad spectrum of policy changes, including: Deregulation: Reducing government intervention in markets to foster competition. Privatization: Transferring state-owned enterprises to private ownership. Trade Liberalization: Lowering tariffs and non-tariff barriers to encourage international trade. Monetary and Fiscal Adjustments: Altering interest rates, taxation, and government spending to influence economic activity. While these reforms are designed to stimulate economic growth and efficiency, their implementation can lead to short-term disruptions as markets adjust to new realities. Fallout from Market Reforms The immediate aftermath of market reforms often includes: Market Volatility: Sudden policy shifts can lead to sharp market reactions, affecting asset prices and investor sentiment. Sectoral Disruptions: Industries that were previously protected may face increased competition, leading to restructuring or closures. Regulatory Uncertainty: Ambiguities in new policies can create a challenging environment for businesses and investors. For instance, the European Union's ongoing review of merger policies has created uncertainty in the corporate sector, as companies await clearer guidelines before pursuing consolidation strategies Identifying Opportunities Amidst Uncertainty Despite the challenges, periods of uncertainty following market reforms can present unique opportunities: Emerging Market Investments: Countries undergoing reforms often experience growth in sectors like infrastructure, technology, and consumer goods. For example, South Africa's financial markets have soared despite weak economic data and slow reforms, indicating potential in emerging markets Strategic Mergers and Acquisitions: Regulatory changes can lead to consolidation in certain industries, presenting opportunities for mergers and acquisitions. BNP Paribas anticipates future opportunities in European investment banking driven by expected restructuring and refinancing Policy-Driven Sectors: Reforms in areas like renewable energy, healthcare, and education can create investment opportunities in companies aligned with new policy directions. Diversification Strategies: Investors can mitigate risks by diversifying portfolios across regions and sectors that are less affected by the reforms. Case Studies of Reform-Induced Opportunities South Africa: Despite slow economic growth and high unemployment, South Africa's financial markets have performed strongly, with the Johannesburg Stock Exchange reaching record highs. Analysts attribute this optimism to strong commodity prices and perceived political stability European Union: The EU's review of merger policies has created uncertainty, but also potential for consolidation in industries like technology and manufacturing. Companies that can navigate the regulatory landscape may find opportunities for growth. United States: The Federal Reserve's balancing act in a politically volatile landscape presents both risks and opportunities. Sectors sensitive to interest rates, such as real estate and high-yield bonds, remain vulnerable, while defensive assets like Treasury securities and gold may gain allure as hedging tools Strategies for Navigating Reform-Induced Uncertainty Investors and policymakers can adopt several strategies to navigate the uncertainties arising from market reforms: Scenario Planning: Developing multiple scenarios to anticipate potential outcomes and prepare accordingly. Stakeholder Engagement: Engaging with policymakers to influence the design and implementation of reforms. Risk Management: Employing hedging techniques and diversifying investments to mitigate potential losses. Monitoring Indicators: Keeping an eye on key economic and political indicators that signal changes in the reform trajectory. Conclusion While market reforms can lead to periods of uncertainty, they also create avenues for growth and innovation. By adopting a proactive and informed approach, investors and policymakers can turn potential challenges into opportunities, driving progress and prosperity in the evolving global market landscape.
NSE:RELIANCEEducation
by TechnicalExpress
2
Option Chain AnalysisChapter 1: Basics Refresher 1.1 What is an Option Chain? An option chain (or option matrix) is a tabular display of all option contracts for a particular stock or index. It is split into two halves: Left side → Call Options (CE) Right side → Put Options (PE) Middle → Strike Prices For each strike, the chain shows data such as Open Interest (OI), Volume, Last Traded Price (LTP), Bid/Ask, Change in OI, and Implied Volatility (IV). 1.2 Why Do We Analyze It? Option chain analysis provides traders with: Market sentiment (bullish, bearish, or neutral). Probable support and resistance levels. Identification of fresh positions vs unwinding. Volatility expectations. Clues for strategy selection (directional or non-directional). Chapter 2: Core Components in Option Chain Analysis 2.1 Open Interest (OI) Represents outstanding contracts not yet squared off. High OI at a strike → strong trader interest. Change in OI indicates new positions or unwinding. 👉 Key use in analysis: Highest Put OI → Likely support. Highest Call OI → Likely resistance. 2.2 Volume Shows contracts traded during the current session. High Volume + Rising OI → New positions building up. High Volume + Falling OI → Unwinding/covering. 2.3 Implied Volatility (IV) Reflects expected volatility of the underlying. High IV → Options expensive; suitable for option writing. Low IV → Options cheaper; suitable for buying strategies. 2.4 Price (Premium) Movement If premiums rise with OI → trend continuation. If premiums fall with OI → trend weakening. 2.5 Put Call Ratio (PCR) Formula: Total Put OI ÷ Total Call OI. PCR > 1 → More puts → bullish bias. PCR < 1 → More calls → bearish bias. Chapter 3: Interpreting Option Chain Data 3.1 Support & Resistance Identification Support: Strikes with highest Put OI (buyers willing to defend). Resistance: Strikes with highest Call OI (sellers capping upside). Example: If NIFTY is at 20,000: 19,800 Put has highest OI → Support. 20,200 Call has highest OI → Resistance. 3.2 OI and Price Analysis Price ↑ + OI ↑ → Long Build-up. Price ↓ + OI ↑ → Short Build-up. Price ↑ + OI ↓ → Short Covering. Price ↓ + OI ↓ → Long Unwinding. This is one of the most powerful interpretations for intraday and positional trading. 3.3 IV Analysis Rising IV + Rising Premiums → Traders expect big moves. Falling IV + Rising Premiums → Unusual demand-driven move. Chapter 4: Techniques of Option Chain Analysis 4.1 Strike-Wise Analysis Look at individual strikes for OI and volume changes. Identify where traders are adding fresh bets. 4.2 ATM (At-the-Money) Analysis ATM strikes reflect the most balanced and sensitive positions. Changes in ATM OI provide clear sentiment direction. 4.3 OTM (Out-of-the-Money) Analysis Helps identify speculation and event-based positioning. Example: Traders buying far OTM Calls before results → Bullish bets. 4.4 PCR Interpretation Overall PCR for market view. Strike-wise PCR for specific zones. Chapter 5: Option Chain Analysis for Strategies 5.1 Directional Strategies Bullish sentiment → Buy Calls, Sell Puts, Bull Call Spread. Bearish sentiment → Buy Puts, Sell Calls, Bear Put Spread. 5.2 Neutral / Range-Bound Strategies If highest Put OI and Call OI are close → sideways view. Strategies: Iron Condor, Short Straddle, Short Strangle. 5.3 Volatility-Based Strategies High IV → Option writing (Iron Fly, Short Straddle). Low IV → Option buying (Long Straddle, Long Strangle). Chapter 6: Practical Example (NSE NIFTY) Imagine NIFTY trading at 20,000. Highest Put OI at 19,800 → Support. Highest Call OI at 20,200 → Resistance. PCR = 1.3 → Slightly bullish. Interpretation: NIFTY likely to trade between 19,800–20,200 for now. Strategy: Iron Condor within the range. Chapter 7: Institutional vs Retail Approach Retail traders: Focus on LTP, volume, ATM strikes. Institutions: Focus on OI buildup, hedging positions, volatility skew. Market makers: Use Greeks + IV to balance exposures. Chapter 8: Advanced Insights 8.1 Option Chain + Technical Analysis Combining chart support/resistance with OI data makes levels stronger. 8.2 Option Chain Before Events Earnings, Fed meetings, budget → OI shifts + IV spikes. Typically, IV crashes after event (“IV crush”). 8.3 Skew Analysis Sometimes far OTM puts have higher IV than calls → sign of bearish protection demand. Chapter 9: Mistakes Traders Make Blindly following “highest OI” without context. Ignoring IV while analyzing premiums. Trading illiquid strikes (low OI/volume). Misinterpreting PCR extremes (can signal contrarian trades). Over-relying on option chain without considering news/technical charts. Chapter 10: Step-by-Step Guide for Beginners Open NSE Option Chain for the underlying. Note the spot price. Identify ATM strike. Look at highest Put OI (support). Look at highest Call OI (resistance). Check PCR for sentiment. Track OI + Price changes intraday for direction. Select a strategy (buy/sell options, spreads, or non-directional). Chapter 11: Benefits of Option Chain Analysis Provides real-time market sentiment. Identifies key support/resistance zones. Helps in strategy selection. Useful for hedging positions. Assists in intraday, swing, and positional trading. Chapter 12: Limitations Works best in liquid instruments (NIFTY, BANKNIFTY). Can give false signals during low volume sessions. Sudden news/events can override OI patterns. Requires constant monitoring (dynamic data). Conclusion Option Chain Analysis is a trader’s X-ray machine—it reveals what the surface charts don’t show. By analyzing open interest, volume, IV, and PCR, traders can spot where the market is placing its bets. This helps identify support/resistance levels, predict short-term trends, and craft strategies suited for directional, range-bound, or volatile markets. For beginners, the option chain may initially look complex. But with practice, patterns emerge, and it becomes one of the most reliable tools for decision-making. For professionals, it’s an indispensable part of daily trading. In the end, option chain analysis is not just about numbers—it’s about reading the collective psychology of market participants and positioning oneself accordingly.
ACTIVTRADES:ETHUSDEducation
by TechnicalExpress
ETERNAL (ZOMATO) By KRS Charts17th April 2025 / 1:24 PM Why Eternal ?? 1. All Over Bullish Stock. Yet Not Profitable but Business model has potential in near Future. 2. Wave Count is suggesting 4th wave is likely finish and 5th last leg is started which can last till 340 Rs. 3 RSI & MACD is showing bullish continues Divg. bears gave there all but failed to make new lower low. 4. Lower TF is showing W pattern Breakout as well with good volume. Targets and SL 1W Closing Basis are mentioned in chart.
NSE:ETERNALLong
by KRSCharts
2
Elliott Wave Analysis XAUUSD – September 19, 2025 Momentum • D1 timeframe: Momentum is currently declining, suggesting that the downtrend may continue until momentum enters the oversold zone. This process could take at least 2 daily candles, including the current one. • H4 timeframe: Momentum is turning upward, but repeated reversals at the oversold zone, along with overlapping price action, indicate that the market is in a complex corrective phase. • H1 timeframe: Momentum has already turned upward, with 3 H1 bullish candles formed. It is expected that within 1–2 more candles, momentum will likely reach the overbought zone. Wave Structure • D1 timeframe: The 5-wave black structure has been completed. The current correction is expected to last longer compared to the previous WXY triangle correction. • H4 timeframe: Wave counting is complicated due to overlapping price movements. With momentum now recovering, wave B is likely unfolding, which will then be followed by the completion of wave C. • H1 timeframe: A temporary channel can be drawn to observe price behavior. The market is likely in wave B (black), forming a Flat structure (ABC in blue). Wave C (blue) is projected to equal wave A (blue) at the 3667 level. This price zone also coincides with the boundary between high and low liquidity areas on the Volume Profile, making it a strong resistance zone for potential short entries. Trading Plan • Sell Zone: 3667 – 3670 • SL: 3680 • TP: 3644
OANDA:XAUUSDShort
by WavePoint_FX
Bearish Shark in Sunpharma - Looking for 1700+ TF: 75 Minutes CMP: 1635 The pattern set up is self explanatory. Failed break below the previous low (Shark hunting SLs) and move up higher. Trade set up for this pattern suggests that, we should take trade only at the completion of D (in this case 1730).. it is up to you to define your actions according your trading style. On Daily TF You can notice that the last time when the price was at 1550 range in March 2025, it moved up by 200-250 points. Price is now bouncing off of the same zone and we can safely assume that the buyers are active in that zone. Secondly, the shakeout/failed breakdown (of 7th Aug low) will most likely propel this move up higher. On Cloud, price meets all the criteria for bullishness on 60 or 75 minutes TF. 1620-1625 is the immediate support zone. 1590-1605 is the cloud Support. However, price is trading below the cloud on Daily TF (bearish on daily) As far as overall structure of this script is concerned, On Wave counts, it appears that 4th wave has ended on weekly TF and the price should move up higher, potentially taking out ATH.. But we need confirmation by breaking the swing highs first (1660 break is the first sign) Finally, on Moving averages, Price is just above 50 DEMA and trading well below 200 DEMA, 20 and 30 WEMA.. The cluster is at 1670-80, a potential resistance zone for this series. Disclaimer: I am not a SEBI registered Analyst and this is not a trading advise. Views are personal and for educational purpose only. Please consult your Financial Advisor for any investment decisions. Please consider my views only to get a different perspective (FOR or AGAINST your views). Please don't trade FNO based on my views. If you like my analysis and learnt something from it, please give a BOOST. Feel free to express your thoughts and questions in the comments section.
NSE:SUNPHARMA
by Murthy_Santhosh
ADANIENT - One more Leg down is due? TF: 75 Minutes CMP: 2400 The counts are from the recent swings 2681 to 2165 Observation: It is a 5 wave decline and the 3rd wave has ended at 2165.. The price is now following a corrective rise. The corrective rise can take any form.. Here, I have marked 2 possibilities. ABC or triangle (abcde) If this is an ABC correction, then, we have completed A and B, the Final C is play targeting 2490 (100% fib extension (AB=BC). Since the price is also staying above the midpoint of the channel, I am inclined towards this view as my primary count. If this is a triangle, then, we are looking at sideways consolidation again ranging between 2300 to 2400 to complete the set up Since I am expecting a final leg down for the 5th, I am not participating in this current corrective rise.. Will wait for clear direction/swing points first. In the volume Profile chart We are trading inside the heave volume zone of last week and the week of 18th Aug. The important zones are marked for easy inference. For now, strong base is at 2270-2300 Disclaimer: I am not a SEBI registered Analyst and this is not a trading advise. Views are personal and for educational purpose only. Please consult your Financial Advisor for any investment decisions. Please consider my views only to get a different perspective (FOR or AGAINST your views). Please don't trade FNO based on my views. If you like my analysis and learnt something from it, please give a BOOST. Feel free to express your thoughts and questions in the comments section.
NSE:ADANIENT
by Murthy_Santhosh
NIFTY : Trading levels and Plan for 19-Sep-2025NIFTY TRADING PLAN – 19-Sep-2025 📌 Key Levels from the Chart: Opening Resistance: 25,467 Last Intraday Resistance: 25,541 – 25,556 Opening Support: 25,382 Last Intraday Support: 25,352 Major Support Zone: 25,291 🚀 Gap-Up Opening (100+ points above previous close) If Nifty opens above 25,520–25,540, it directly enters the Last Intraday Resistance Zone (25,541–25,556) . This zone will be a key battleground for bulls and bears. Sustaining above this resistance could open the path towards 25,600+ levels. 📌 Trading Approach: Look for long entries only if price sustains above 25,556, targeting 25,600–25,650. Keep a strict stop-loss below 25,467 (Opening Resistance). If rejection occurs near resistance, a pullback towards 25,467–25,420 is possible. In that case, option traders can shift to short-term put buying. 📉 Flat Opening (within ±100 points of 25,420) A flat opening near the previous close would keep Nifty between Opening Resistance (25,467) and Opening Support (25,382). This means consolidation and indecision in the early session. 📌 Trading Approach: Avoid rushing into trades in the first 30 minutes. Let the market choose direction. If the index breaks above 25,467 with volume, ride the trend towards 25,541–25,556. If it fails and slips below 25,382, expect a dip towards 25,352 and possibly 25,291. 🔻 Gap-Down Opening (100+ points below previous close) If Nifty opens below 25,320–25,300, it enters a weak territory, testing Last Intraday Support (25,352) and moving towards 25,291. 📌 Trading Approach: If support at 25,291 holds, a bounce back towards 25,352–25,382 is likely, providing a short-term buying opportunity. If 25,291 breaks decisively, further downside towards 25,200–25,150 cannot be ruled out. In this case, short positions with strict SL above 25,352 are safer. 🛡️ Risk Management Tips for Options Traders Avoid aggressive buying in resistance zones; wait for confirmation candles. Use spreads (Bull Call / Bear Put) instead of naked options in volatile markets. Risk per trade should not exceed 2% of capital. Trail stop-loss once trade moves in your favor. Exit part positions at first target; let the rest ride with stop-loss shifted to cost. 📌 Summary & Conclusion Above 25,556, momentum may stretch towards 25,600–25,650. A flat opening requires patience; breakout above 25,467 or breakdown below 25,382 will give direction. Below 25,291, weakness can intensify towards 25,200. Stay disciplined, respect levels, and follow strict risk management to protect capital. ⚠️ Disclaimer I am not a SEBI registered analyst . This trading plan is prepared purely for educational purposes. Please do your own research or consult a financial advisor before trading.
NSE:NIFTYLong
by LiveTradingBox
BANKNIFTY : Trading levels and Plan for 19-Sep-2025BANK NIFTY TRADING PLAN – 19-Sep-2025 📌 Key Levels from the Chart: No Trade Zone: 55,661 – 55,758 Last Intraday Resistance: 55,957 Major Resistance: 56,260 Last Intraday Support: 55,402 – 55,467 Critical Support: 54,850 🚀 Gap-Up Opening (200+ points above previous close) If Bank Nifty opens around 55,900+, it will be near the Last Intraday Resistance (55,957) . A strong breakout above this zone may trigger bullish momentum towards 56,260, which is the higher resistance level. 📌 Trading Approach: Go long only if candles sustain above 55,957 with volume. First target: 56,150–56,200, extended target: 56,260. Keep SL below 55,758 to protect capital. Be cautious of false breakouts, as Bank Nifty often traps near resistance zones. ⚖️ Flat Opening (within ±200 points of 55,716) A flat opening around 55,600–55,750 brings Bank Nifty inside the No Trade Zone (55,661–55,758) . This area is tricky and may cause choppy moves. 📌 Trading Approach: Avoid aggressive trades inside this zone. A breakout above 55,758 can lead to 55,957, giving a quick long opportunity. A breakdown below 55,661 may push prices back to the support band at 55,402–55,467. Patience is key—wait for price action confirmation before entering. 🔻 Gap-Down Opening (200+ points below previous close) If Bank Nifty opens near or below 55,400, it immediately tests the Last Intraday Support zone (55,402–55,467) . A failure to hold this support may extend the fall towards the critical level of 54,850 . 📌 Trading Approach: If 55,402–55,467 holds, expect a bounce back towards 55,600–55,700, which can be played on the long side. If 54,850 breaks decisively, it could trigger further downside, opening a short trade opportunity with SL above 55,100. Gap-downs are usually volatile, so manage position size carefully. 🛡️ Risk Management Tips for Options Traders ❌ Avoid trading inside the No Trade Zone ; wait for clean breakouts. ✅ Use spreads (Bull Call or Bear Put) to reduce premium decay. 📏 Position sizing: Risk only 2% of total capital per trade. 🔄 Trail stop-loss once your position moves in profit. 🕒 First 30 minutes are crucial; avoid over-trading during volatility. 📌 Summary & Conclusion Above 55,957, momentum can extend towards 56,260. A flat opening inside 55,661–55,758 requires patience and discipline. Below 55,402, weakness may accelerate, testing 54,850 as a decisive level. Stay disciplined, don’t chase the market blindly, and let levels guide your trades. ⚠️ Disclaimer I am not a SEBI registered analyst . This trading plan is prepared purely for educational purposes. Please conduct your own analysis or consult with a financial advisor before making trading decisions.
NSE:BANKNIFTYLong
by LiveTradingBox
19Sep 2025 Nifty50 trading levelKey Levels 25,623 → Above 10m closing Short Cover Level 25,612 → Below 10m hold PE by Safe Zone 25,530 → Above 10m hold CE by Entry Level 25,520 → Below 10m hold PE by Risky Zone 25,440 → Above 10m hold Positive Trade View 25,430 → Below 10m hold Negative Trade View 25,370 → Below Opening R1 10m Hold PE By Level 25,380 → Above Opening S1 10m Hold CE By Level 25,323 → Above 10m Hold CE By Level 25,316 →Below 10m Hold PE By Level 25,223 → Above 10m hold CE by Safe Zone Level 25,216→ Below 10m hold Unwinding Level
NSE:NIFTYLong
by mayuraj_820
Gold 1H – Retail Sales Impact Before FedOn the 1H chart, Gold is holding near 3,682 after showing a clear Break of Structure. Liquidity is now seen both above the premium resistance at 3,700 and below the Fair Value Gap demand around 3,669–3,667. With U.S. Retail Sales data due at 19:30 IST today, intraday volatility is expected, but overall positioning is still cautious ahead of the Federal Reserve’s interest rate decision later this week. Traders can look for liquidity sweeps towards premium levels before retracements into demand zones. ________________________________________ 📌 Key Structure & Liquidity Zones (1H): • 🔴 SELL ZONE 3,700 – 3,698 (SL 3,707): Premium resistance likely to trigger rejection towards 3,690 → 3,680 → 3,670. • 🟢 FVG BUY ZONE 3,669 – 3,667 (SL 3,660): Fair Value Gap demand zone for retracements, targeting 3,680 → 3,690 → 3,700+. • 🟢 BUY SUPPORT 3,641 – 3,639 (SL 3,632): Deep discount support, targeting 3,655 → 3,670 → 3,685+. ________________________________________ 📊 Trading Ideas (Scenario-Based): 🔺 Buy Setup – FVG Reclaim (3,669–3,667) • Entry: 3,669 – 3,667 • Stop Loss: 3,660 • Targets:  TP1: 3,680  TP2: 3,690  TP3: 3,700+ 👉 Look for a liquidity sweep into the FVG zone before New York session begins. 🔺 Buy Setup – Discount Sweep (3,641–3,639) • Entry: 3,641 – 3,639 • Stop Loss: 3,632 • Targets:  TP1: 3,655  TP2: 3,670  TP3: 3,685+ 👉 A good risk-to-reward opportunity if price sweeps stops below structure before Retail Sales release. 🔻 Sell Setup – Premium Liquidity Run (3,700–3,698) • Entry: 3,700 – 3,698 • Stop Loss: 3,707 • Targets:  TP1: 3,690  TP2: 3,680  TP3: 3,670 👉 Expect engineered stop-runs into premium supply before fading lower. ________________________________________ 🔑 Strategy Note While Retail Sales data may bring short-term price swings, market attention is focused on the Fed. Smart Money is likely to trap both sides of liquidity: fading premium near 3,700–3,698 while accumulating buys at 3,669–3,667 and 3,641–3,639. Trade with smaller positions and confirm with H1 closes before entries.
OANDA:XAUUSDLong
by Ryan_TitanTrader
Part 2 Trading Master Class With ExpertsHow Option Trading Works Let’s walk through a simple example. Suppose NIFTY is trading at 20,000. You expect it to rise. You buy a NIFTY 20,100 Call Option by paying a premium of ₹100. If NIFTY goes up to 20,500, your call is worth 400 (20,500 – 20,100). Profit = 400 – 100 = 300 points. If NIFTY stays below 20,100, your option expires worthless. Loss = Premium (₹100). Here’s the beauty: as a buyer, your loss is limited to the premium paid, but profit potential is theoretically unlimited. For sellers (writers), it’s the reverse—limited profit (premium received) but unlimited risk. Why People Trade Options Options are not just for speculation. They serve multiple purposes: Hedging: Investors use options to protect their portfolio against losses. For example, buying puts on NIFTY acts as insurance during market crashes. Speculation: Traders take directional bets on stocks or indices with limited capital. Income Generation: Sellers of options earn premium income regularly. Arbitrage: Exploiting price differences in related instruments. This versatility is what makes options attractive to both professionals and retail traders. Risks in Option Trading While options are powerful, they are also risky: Time Decay (Theta): Options lose value as expiry approaches, especially if they are OTM. Leverage Risk: Small market moves can lead to large percentage losses. Complexity: Beginners may struggle with pricing models, strategies, and margin requirements. Unlimited Loss for Sellers: Writing naked options can lead to huge losses if the market moves strongly against the position. Thus, understanding risk management is critical before trading options seriously. Option Pricing & The Greeks Option prices are influenced by several factors. To understand them, traders use Option Greeks: Delta: Measures how much the option price moves with a ₹1 move in the underlying asset. Gamma: Measures how Delta changes with the underlying’s price. Theta: Measures time decay. Shows how much value an option loses daily as expiry nears. Vega: Measures sensitivity of option price to volatility changes. Rho: Measures sensitivity to interest rate changes (less important in short-term trading). The Greeks help traders design strategies, manage risks, and predict option price movements.
Education
by SkyTradingZone
2
Part 1 Trading Master Class With Experts1. Introduction to Options Financial markets give investors multiple tools to manage money, speculate on price movements, or hedge risks. Among these tools, options stand out as one of the most powerful instruments. Options are a type of derivative contract, which means their value is derived from an underlying asset—such as stocks, indices, commodities, or currencies. Think of an option like a ticket. A movie ticket gives you the right to enter a cinema hall at a fixed time, but you don’t have to go if you don’t want to. Similarly, an option contract gives you the right, but not the obligation, to buy or sell an asset at a pre-decided price before or on a fixed date. This flexibility is what makes options both exciting and risky. For beginners, it can feel confusing, but once you grasp the basics, option trading becomes a fascinating world of opportunities. 2. Basic Concepts of Option Trading At its core, option trading revolves around three elements: The Buyer (Holder): Pays money (premium) to buy the option contract. They have rights but no obligations. The Seller (Writer): Receives the premium for selling the option but must fulfill the obligation if the buyer exercises it. The Contract: Specifies the underlying asset, strike price, expiry date, and type of option (Call or Put). Unlike stocks, where you directly buy shares of a company, in options you are buying a right to trade shares at a fixed price. This difference is what gives options their unique power. 3. Types of Options There are mainly two types of options: 3.1 Call Option A Call Option gives the buyer the right (but not obligation) to buy an underlying asset at a fixed price before expiry. 👉 Example: You buy a call option on Reliance at ₹2,500 strike price. If Reliance rises to ₹2,700, you can buy it at ₹2,500 and immediately gain profit. 3.2 Put Option A Put Option gives the buyer the right (but not obligation) to sell an asset at a fixed price before expiry. 👉 Example: You buy a put option on Infosys at ₹1,500. If Infosys falls to ₹1,300, you can sell it at ₹1,500, making profit. These two simple instruments form the foundation of all option strategies. 4. Key Option Terminology Before trading, you must understand the language of options. Strike Price: The fixed price at which the option can be exercised. Premium: The cost of buying an option. Paid upfront by the buyer. Expiry Date: The last date until the option is valid. In India, stock options usually expire monthly, while index options may expire weekly. In-the-Money (ITM): Option that already has intrinsic value (profitable if exercised). Out-of-the-Money (OTM): Option that currently has no intrinsic value (not profitable if exercised). At-the-Money (ATM): Strike price is very close to the market price. Option Chain: A list of all available call and put options for a given asset, strike, and expiry. Knowing these terms is like learning alphabets before writing sentences.
NSE:RELIANCEEducation
by SkyTradingZone