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Wave Analysis

High-Frequency Trading (HFT) in India1. What Is High-Frequency Trading? High-Frequency Trading is a subset of algorithmic trading that focuses on: Extremely fast trade execution Large volumes of orders per second Short holding periods (milliseconds to seconds) Taking advantage of tiny price inefficiencies In simple terms, HFT uses powerful computers, sophisticated mathematical models, and ultra-fast internet connectivity to make profits from small movements in prices that humans cannot catch. HFT firms compete on speed, because the difference between executing a trade in 1 millisecond vs 2 milliseconds can decide whether a strategy is profitable or not. 2. Why Has HFT Grown in India? HFT took off in India after the introduction of: a) Co-Location Services NSE and BSE allow brokers and trading firms to place their computers inside the exchange’s data center. This reduces latency (delay) from milliseconds to microseconds. b) Advanced Technology Stack Indian markets adopted: FIX protocol (Financial Information Exchange) Ultra-low latency APIs High-speed order matching engines Direct Market Access (DMA) c) Derivatives Market Growth NSE’s index futures and options like Nifty, Bank Nifty, and FINNIFTY provide high liquidity, ideal for HFT strategies. d) Market Modernization India upgraded its exchanges with: Microsecond time-stamping High-speed leased lines Real-time risk management These changes created an environment where HFT could thrive. 3. How Does HFT Work? HFT follows a technological and mathematical approach: STEP 1: Detect Micro-Opportunities Algorithms scan: Bid-ask spreads Order book imbalances Arbitrage gaps between instruments Momentum bursts Latency-based inefficiencies STEP 2: Execute Trades at Extreme Speed HFT uses: Multi-core processors FPGA (Field-Programmable Gate Arrays) Ultra-low-latency servers Microwave and fiber networks These systems can place thousands of orders per second. STEP 3: Manage Risk Automatically Risk systems continuously check: Position limits Exposure Margin Price deviations If anything exceeds limits, the systems shut down automatically. STEP 4: Square Off Quickly HFT positions rarely remain open for more than: A few milliseconds A few seconds Maximum a few minutes The goal is to earn very small margins multiple times a day. 4. Main HFT Strategies Used in India 1. Market Making HFT firms provide liquidity by placing both buy and sell orders. They profit from the bid-ask spread. Example: Buy at 201.10 and sell at 201.20 → earn 0.10 repeatedly. 2. Arbitrage Taking advantage of price mismatches: Nifty Futures vs Nifty Spot NSE vs BSE arbitrage Index vs constituent stock arbitrage Options mispricing Currency vs equity cross-market arbitrage HFT closes the gap instantly. 3. Latency Arbitrage Ultra-fast algorithms react faster to quote changes than slower traders. 4. Momentum Ignition Algorithms detect early price momentum and jump in before human traders. 5. Order Book Dynamics Strategies Using order book patterns such as: Order flow imbalance Large hidden orders Sudden liquidity vacuum To predict short-term price moves. 5. Who Uses HFT in India? 1. Proprietary Trading Firms (Prop Desks) These include boutique firms, hedge-fund-style prop desks, and technology-driven trading companies. 2. Institutional Brokers Large brokers offering low-latency systems to clients. 3. Foreign HFT Firms Several global players operate in India via local subsidiaries. 4. Market Makers Liquidity providers for index derivatives and currency markets. Retail traders generally cannot compete with HFT due to: Hardware limitations Lack of co-location access Slow internet Higher latency 6. Benefits of HFT in the Indian Market 1. Increased Liquidity HFT adds continuous buy and sell orders, making markets smoother. 2. Reduced Bid-Ask Spreads As HFT competes on price, spreads narrow—benefiting all traders. 3. Faster Price Discovery Arbitrage algorithms instantly align prices across markets. 4. Higher Market Efficiency Information reflects quickly into prices. 5. Better Execution Quality Even retail traders indirectly get better fills due to more liquidity. 7. Risks and Criticisms of HFT in India Despite the benefits, HFT also draws criticism. 1. Market Manipulation Concerns Some alleged techniques include: Quote stuffing Spoofing Layering These create artificial supply/demand illusions. 2. Flash Crashes Ultra-fast algorithms can cause sudden short-term crashes when: Liquidity disappears Orders get canceled instantly Algorithms turn off at the same time 3. Unfair Speed Advantage Retail traders cannot match co-located HFT machines. 4. Systemic Risk If multiple HFT firms fail simultaneously, volatility could spike. 5. Technology Costs Only well-funded firms can afford: Co-location servers High-speed networks FPGA hardware This creates a natural inequality. 8. Regulation of HFT in India SEBI has implemented strict controls to ensure fairness. 1. Minimum Resting Time (Proposal) Idea to force orders to stay in the book for a few milliseconds—reducing ultra-fast flickering. 2. Penalty for Excessive Order-to-Trade Ratio HFT firms often place thousands of orders but execute only a few. High OTR attracts penalties. 3. Randomized Order Matching Proposed mechanism where matching is randomized within small time windows—reducing pure speed advantage. 4. Strengthening Surveillance SEBI uses machine-learning tools to detect: Spoofing Layering Market manipulation 5. Co-Location Auctioning Equal access to co-location racks avoids unfair preferential treatment. 9. The Future of HFT in India 1. More Technology Upgrades Exchanges are adopting: Microsecond time-stamps AI-driven surveillance Faster matching engines 2. Increased Participation in Derivatives Nifty, Bank Nifty, FINNIFTY continue to attract HFT flows. 3. Entry of Global Quant Firms More global players are entering due to India’s: High liquidity Strong regulation Growing economy 4. Rising Competition As more firms adopt low-latency infrastructure, profits will depend more on innovation than speed alone. Final Summary High-Frequency Trading in India is a powerful mix of: Ultra-fast computers Complex algorithms Advanced exchange technology High liquidity Opportunity-driven trading It brings both advantages (liquidity, efficiency, tighter spreads) and disadvantages (flash crashes, unfair speed advantage). SEBI continues to regulate HFT tightly to ensure equal and transparent access. Overall, HFT has become one of the most influential forces shaping the microstructure and day-to-day volatility of Indian equity and derivatives markets.
NSE:NIFTYEducation
by TechnicalExpress
GIFT NIFTY: INDIA’S GLOBAL FUTURES BENCHMARK1. What is GIFT Nifty? GIFT Nifty is a futures contract based on the Nifty 50 Index, traded on NSE IX (NSE International Exchange) located in GIFT City (Gujarat International Finance Tec-City). It allows global and Indian institutional investors to trade Indian index futures for nearly 21 hours a day. Previously, these contracts were traded in Singapore under the name SGX Nifty, which was one of the largest offshore derivative products linked to India. In July 2023, SGX and NSE integrated their liquidity and migrated the contract to GIFT City, giving birth to GIFT Nifty. This made GIFT City the official global gateway for trading Nifty futures. 2. Why Was GIFT Nifty Created? (Background Story) For many years, Indian index derivative trading was happening outside India through SGX Nifty, which traded in Singapore Exchange. Foreign investors widely used SGX Nifty to hedge Indian market exposure and take directional bets before Indian markets opened. This led to: Loss of trading volumes outside India Loss of tax revenues Limited control over trading data Strategic disadvantage since India’s index was traded overseas To resolve this, NSE International Exchange (NSE IX) in GIFT City collaborated with the Singapore Exchange (SGX). After a long process, liquidity was shifted from Singapore to India. The result: GIFT Nifty became the global benchmark gateway for international participation in Indian markets. 3. Where is GIFT Nifty Traded? GIFT Nifty trades exclusively on: NSE International Exchange (NSE IX) located in GIFT City – Gujarat International Finance Tec-City, India’s first global financial hub. GIFT City provides: Tax incentives Global-standard regulatory environment Ease of international clearing and settlement USD-denominated trading This transforms India into a preferred centre for offshore financial activities. 4. Trading Hours: Almost 21-Hour Trading Cycle One of the biggest advantages of GIFT Nifty is its near-round-the-clock trading window, making it extremely attractive to global traders. Trading Hours: Session 1: 6:30 AM IST to 3:40 PM IST Break: 3:40 PM–4:35 PM Session 2: 4:35 PM IST to 2:45 AM IST (next day) These extended hours allow: European market overlap US market overlap Asian market overlap Thus, GIFT Nifty reacts instantly to global events such as US inflation data, FOMC meetings, geopolitical events, Fed rate changes, or macroeconomic news. 5. Types of GIFT Nifty Contracts Currently, GIFT Nifty offers four key futures contracts: GIFT Nifty 50 Futures — Based on India’s benchmark Nifty 50. GIFT Nifty Bank Futures — Based on Nifty Bank Index, preferred by high-volume traders. GIFT Nifty Financial Services Futures — Tracks financial, banking, and NBFC stocks. GIFT Nifty Midcap Select Futures — Targets mid-cap performance. These contracts allow global investors to trade multiple Indian market segments. 6. Why is GIFT Nifty Important for Global Investors? A. Hedging Indian Market Exposure Foreign institutions and hedge funds use GIFT Nifty to: Protect portfolios Manage currency risk Adjust positions during global events React when the Indian market is closed This makes it a powerful risk management tool. B. Pre-Market Signal for India Like SGX Nifty earlier, GIFT Nifty acts as: India’s opening indicator because it trades before NSE opens at 9:15 AM. Traders watch GIFT Nifty to predict: Gap up or gap down opening Market sentiment Global reactions to overnight events C. USD-Denominated Trading GIFT Nifty trades in US Dollars, eliminating INR volatility risk for foreign traders. D. Lower Transaction Costs and Tax Benefits GIFT City offers incentives such as: Tax exemptions Reduced transaction charges Global settlement infrastructure This improves liquidity and encourages foreign participation. 7. Advantages of GIFT Nifty for India A. Boosts India’s Global Financial Position By hosting the world’s primary trading hub for Indian index futures, India: Captures revenue Gains global visibility Strengthens its financial ecosystem B. Increases Trading Volumes Liquidity that once belonged to Singapore has now moved to India. GIFT Nifty is already seeing rising: Participation Volumes Institutional activity High-frequency trading (HFT) C. Helps Build GIFT City as Global Hub GIFT City aims to become: India’s version of Dubai IFC A global financial and tech ecosystem A zone free from heavy domestic regulations GIFT Nifty is its flagship achievement. 8. Impact on Indian Retail Traders Even though GIFT Nifty is designed mainly for global players, Indian retail traders benefit indirectly: A. Stronger Pre-Market Analysis GIFT Nifty offers reliable cues for: Market opening Overnight sentiment Global macro impact This helps traders prepare strategies before NSE opens. B. Better Volatility Understanding Since GIFT Nifty reacts to global data instantly, it signals: How big events may move Nifty Expected risk levels Next-day volatility zones C. Improved Liquidity in Main Nifty Contracts With global volumes migrating to GIFT Nifty, institutional hedging becomes more efficient, indirectly supporting NSE liquidity. 9. Comparison: GIFT Nifty vs SGX Nifty Feature SGX Nifty GIFT Nifty Location Singapore GIFT City, India Currency USD USD Trading Hours ~16 hours 21 hours Settlement SGX NSE IX Liquidity Earlier highest Now shifted to GIFT Regulatory Foreign Indian global zone Result: GIFT Nifty is now the official global benchmark for Nifty futures. 10. Role in Global Financial Markets GIFT Nifty plays a significant role in the global market ecosystem: Helps global funds include India in their derivatives portfolios Enhances India’s market visibility Acts as a hedge instrument for emerging markets exposure Allows cross-border arbitrage strategies As India rises economically, GIFT Nifty strengthens its position in global finance. 11. Future Growth Potential GIFT Nifty is expected to grow due to: Increasing foreign portfolio investment (FPI) India’s rising GDP ranking More indices being added (IT, Auto, FMCG, etc.) Growing participation from global institutions GIFT City plans to add: Options contracts More currency derivatives More global settlement links This will convert GIFT City into a global derivatives powerhouse. Conclusion GIFT Nifty is more than just a futures contract—it represents India’s emergence as a global financial centre. By shifting index derivative trading from Singapore to GIFT City, India has strengthened control over its markets, increased participation, expanded trading hours, and built a powerful financial ecosystem aligned with international standards. For traders, GIFT Nifty remains a crucial indicator of market sentiment. For institutions, it is an efficient hedging and speculative tool. For India, it is a milestone showcasing financial modernization and global ambition.
BSE:BANK
by TechnicalExpress
Banking Sector Leadership in the Trading Market1. Why Banking Sector Holds Leadership in the Market 1.1 Highest Weightage in Index The Nifty 50 allocates the largest share — around 33–38% — to financials, mainly banks. Bank Nifty itself is a major index, made up of leading private and public banks. When banks move, the entire index moves, causing large-scale shifts in sentiment. Because of this high weightage, even a small percentage change in heavyweights like HDFC Bank, ICICI Bank, SBI, Kotak, or Axis Bank heavily influences Nifty’s direction. 1.2 Heart of the Economy Banks are essential to every major economic activity: Loans to corporates Retail credit (housing, auto, personal loans) Government bond investments Infrastructure project financing MSME support If the banking sector is healthy, it signals that the economy is healthy — which boosts market confidence. 1.3 Institutional Ownership & Liquidity Foreign investors (FIIs) and domestic institutions (DIIs) prefer banking stocks because: They offer high liquidity Business models are predictable Regulated by the RBI They move directly with interest rate cycles This heavy ownership ensures that banking stocks are actively traded, making them natural leaders. 2. How Banking Sector Influences Market Sentiment 2.1 Reacts Fast to Macro Events The banking sector responds immediately to: RBI interest rate decisions Inflation data GDP trends Liquidity conditions Global interest rate changes Whenever an economic event occurs, banking stocks show the first and strongest reaction. Traders watch them closely to judge market direction. 2.2 Credit Growth vs. Market Trend High credit growth indicates: Expansion in business activity Higher consumption demand Strong financial health This fuels bullish sentiment across the market. On the other hand, slowing credit growth reflects: Weak business confidence Stress in industries Tightened liquidity Markets often turn bearish when banks show declining loan growth. 2.3 NPA (Non-Performing Assets) Cycle Bank NPA trends influence corporate health and market mood: Falling NPAs = better profitability = bullish sector = bullish market Rising NPAs = stress in corporates = bearish tone Thus, traders consider NPA cycles as early indicators of broader market conditions. 3. Why Traders Focus on Bank Nifty as a Lead Indicator 3.1 Bank Nifty Moves Faster and Sharper Bank Nifty is more volatile than Nifty due to: Leverage-based business model High sensitivity to macroeconomic shifts Higher FII participation Bigger intraday moves Because of this, it often leads the market — if Bank Nifty is bullish, Nifty usually follows. 3.2 Option Trader’s Favourite Index Bank Nifty has: High liquidity in options Narrow bid-ask spreads Better price discovery Faster momentum Day traders, scalpers, and positional option traders use Bank Nifty as a sentiment gauge. 3.3 Banking Stocks Form Market Breadth When major banks like HDFC Bank, ICICI Bank, SBI surge together, it signals: Strong institutional buying Rising market confidence Start of a broader upward trend When they fall together, it often marks: Weak sentiment FII selling pressure Potential index correction 4. Key Drivers of Banking Sector Leadership 4.1 Interest Rate Cycle The banking sector's performance is strongly tied to interest rates: Rate hikes increase banks' net interest margin (NIM) Rate cuts boost loan demand Stable rates create predictable earnings Traders use interest rate expectations to forecast banking stock direction. 4.2 Liquidity Environment Banks thrive when liquidity is high: Credit expansion happens easily Market cap of banks rises Valuations improve Low liquidity can stress banking stocks, sending negative signals to the overall market. 4.3 Corporate & Retail Loan Mix Private sector banks with strong retail portfolios (HDFC Bank, Kotak) often lead bullish rallies due to stable earnings. PSU banks lead when: Government spending rises Infrastructure cycle strengthens Bond yields fall The leadership shifts based on the credit cycle. 5. How Banking Sector Leadership Affects Other Sectors 5.1 Triggers Rally in Interest-Sensitive Sectors When banks are bullish, other sectors also pick up: Real estate Auto Infra Metals FMCG (due to consumer spending boost) This creates a broad-based market rally. 5.2 Influences Economic Cyclicals Banks act as a barometer for: Capital expenditure cycles Corporate profit cycles Manufacturing activity Consumption levels Strong banks = strong growth cycle = bullish markets. 5.3 Leads Early Reversals Before a major rally or correction, banks usually turn first. In early bull markets → banks break out first In early bear phases → banks drop sharply before other sectors This makes the banking sector a predictive indicator. 6. Traders’ Framework for Using Banking Leadership 6.1 Monitor Bank Nifty First Before trading Nifty or other indices, traders check: Bank Nifty trend Price action Volume profile Leading stocks strength Derivatives data If Bank Nifty is strong, traders prefer bullish trades in the broader market. 6.2 Track Leading Banks Key stocks to watch: HDFC Bank ICICI Bank Axis Bank SBI Kotak Mahindra Bank IndusInd Bank These stocks often show early signs of trend continuation or reversal. 6.3 Use Leadership for Confirmation A market cannot sustain a bullish trend for long without support from banks. So traders look for: Breakouts in Bank Nifty Strong candle formations Low wicks (showing buying pressure) Heavy volumes Positive FII data These signals confirm strength. 7. Conclusion: Why Banking Sector Remains Market Leader The banking sector’s leadership is not temporary — it is structural. Banking acts as: The largest weighted sector in indices The economic engine of credit and liquidity The favorite playground for institutions and traders The macro-sensitive sector that reacts first The trendsetter for bullish and bearish phases In simple terms: If banks rise → the market rises. If banks fall → the market weakens. For any trader trying to understand market structure, trend strength, or broader sentiment, analyzing the banking sector — especially Bank Nifty — is essential.
FOREXCOM:XAUUSDEducation
by TechnicalExpress
AI Trading Profits1. What Is AI Trading? AI trading refers to the use of machine learning models, algorithms, and automation to analyze markets, predict price movements, and execute trades. Unlike traditional trading, where decisions depend on human judgment, AI uses data patterns to make logical, emotion-free decisions. AI trading systems usually combine: Machine Learning Models Neural Networks Natural Language Processing (NLP) High-frequency trading (HFT) algorithms Automated execution engines These systems can scan thousands of indicators, news events, and market variables in seconds — something that is impossible for a human trader. 2. How AI Trading Generates Profits AI earns profits primarily through accuracy, speed, pattern recognition, and disciplined execution. Let’s break it down: a) Predictive Accuracy AI systems analyze past price action, volume, volatility, order flow, sentiment, and macro data to forecast short-term or long-term price movements. Profits are generated when AI predicts: Trend continuation Trend reversal Breakouts Market structure shifts High-probability entry and exit points A well-trained AI model can identify winning setups with higher precision than manual analysis. b) Speed and Efficiency Markets move fast — especially in intraday or high-frequency trading. AI reacts in microseconds, allowing it to: Enter and exit trades before retail traders react Capture small price inefficiencies Take advantage of rapid sentiment changes This speed gives AI a competitive edge that converts directly into profits. c) Removing Human Emotions Human traders often suffer from: Fear Greed Overtrading Emotional reactions Confirmation bias AI avoids all emotional biases. Once trained, it follows logic-based rules, improving consistency and profitability. d) 24/7 Market Monitoring AI never sleeps. It continuously scans market conditions, technical signals, global news, and sentiment changes. This constant monitoring allows AI to: Identify opportunities instantly Avoid bad trades React faster to volatility The result? More accurate trades and higher profit probability. e) Backtesting and Optimization Before trading live, AI models test strategies on historical data. This process includes: Validating accuracy Measuring risk-reward Fine-tuning indicators Eliminating unprofitable setups Backtesting ensures that only statistically profitable strategies go live. 3. AI Trading Strategies Used for Profit AI can be deployed in multiple trading styles. Each strategy targets different types of profits: **1. Trend-Following Algorithms AI identifies strong bullish or bearish trends early and rides them until the trend weakens. It predicts: Higher highs/lows Momentum strength Trend exhaustion Profits come from capturing major directional moves. **2. Mean Reversion AI Models AI detects when prices deviate too far from their average (mean). It forecasts when price is likely to: Bounce Revert back Correct after overbuying/overselling Profits come from short-term rebounds. **3. Breakout and Breakdown Detection AI is excellent at spotting breakout patterns before they occur. It analyzes: Volume spikes Liquidity clusters Pressure zones Market structure Profits come from sharp moves after a breakout or breakdown. **4. High-Frequency Trading (HFT) HFT uses ultra-fast algorithms to profit from small price changes. AI helps: Detect micro-patterns Execute instantly Create thousands of tiny profitable trades This strategy generates small but consistent profits. **5. Arbitrage Trading AI identifies price differences between: Exchanges Brokers Markets Derivatives vs spot It instantly buys low and sells high, locking in risk-free profits. **6. Sentiment Analysis-Based Trading AI uses NLP to scan: News Social media Analyst reports Earnings updates Economic data It converts sentiment into actionable trades. Example: detecting early negative sentiment before a stock falls. **7. Options AI Trading AI is widely used in options due to complex pricing dynamics. It predicts: Implied volatility Premium movement Option Greeks shifts Probability of strike price touching Profits come from precision in volatility forecasting. 4. Why AI Trading Is So Profitable 1. Pattern Detection Beyond Human Capability AI sees patterns in data that humans can’t detect. 2. Ability to Process Massive Data Millions of data points are processed per second. 3. Discipline and Consistency AI stays consistent in all market conditions. 4. Lightning-Fast Execution AI acts instantly when price levels hit. 5. Adaptability AI models adjust to changing market conditions by retraining or rebalancing strategies. 5. Real-World Examples of AI Trading Profitability Hedge Funds Many funds using AI (e.g., Renaissance Technologies, DE Shaw) have generated billions in returns, outperforming traditional traders. Banks J.P. Morgan, Goldman Sachs, and Citi use AI to improve: Risk models Trade execution Market predictions Retail Traders With AI bots and automated systems, retail traders can: Avoid emotional mistakes Trade professionally Increase win rate 6. Risks and Limitations of AI Trading Even though AI can be highly profitable, it is not foolproof. Risks include: 1. Overfitting Model becomes too dependent on past data and fails in live markets. 2. Black Swan Events AI struggles during unexpected market crashes. 3. Data Quality Issues Wrong data = wrong predictions. 4. High Cost of Development Reliable AI models require: Huge data sets Expensive training High computational power 5. Excessive Confidence Believing AI is 100% accurate can lead to unnecessary risk. 7. Final Summary AI trading generates profits by: Predicting market movements with high accuracy Executing trades at lightning speed Eliminating emotional decisions Continuously learning and adapting Identifying micro-patterns invisible to humans While it can be extremely profitable, success depends on good strategy, quality data, and proper risk management.
CRYPTO:BTCUSDEducation
by TechnicalExpress
Time to TRIM your shorts in SILVER / XAGUSD? TF: 15 Minutes CMP: 49.941 The structure and counts suggests that we are in for a bounce on this counter anytime soon. I have marked the internal counts of this fall from the recent swing high (54.385) Whether it is an ABC decline or an impulse 5 wave decline, we are in for a bounce in the shorter TF Trendline from the lows confluences at around 49.15 levels (the desired target range for this leg) In my view, it must be 5 wave decline, to be followed by an ABC upmove and then possibly another 5 wave down to break below the previous swing low at 45.534 Chart in larger TF 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.
CAPITALCOM:SILVER
by Murthy_Santhosh
Part 8 Trading Master Class With Experts1. Unlimited Losses (for Option Sellers) Selling naked options can be dangerous due to sudden market spikes. 2. Time Decay Option buyers lose money daily if the market doesn’t move. 3. Volatility Crush After an event (e.g., earnings), option premiums drop sharply. 4. Wrong Strike Selection Choosing inappropriate strikes reduces the probability of profit. 5. Lack of Discipline Options require risk management more than prediction.
NSE:HEROMOTOCOEducation
by SkyTradingZone
Part 7 Trading Master Class With Experts 1. Delta Measures how much the option premium changes with a ₹1 move in the underlying. Call delta: +0.0 to +1.0 Put delta: –0.0 to –1.0 2. Theta (Time Decay) Measures how much value the option loses each day. Buyers suffer from Theta Sellers benefit from Theta 3. Vega Measures impact of volatility. High volatility → higher premium Low volatility → lower premium 4. Gamma Measures how fast delta changes. High gamma = high speed of price movement.
NSE:RELIANCEEducation
by SkyTradingZone
Nifty Analysis for Nov 18, 2025Wrap-up: Nifty breaks 26010, now pattern has been changed and it is a destructive impulsive move. What I’m Watching for Nov 18, 2025 🔍 Short nifty only if it breaks 25754 SL above 25857 for a target of 25588-25530 and 25042-25167 (SL on 15 min. candle close). Buy nifty only if takes support at 25857 only intraday with a sl below 25754. Disclaimer: Sharing my personal market view — only for educational purpose not financial advice.
NSE:NIFTYShort
by ChartMasteryHQ
2
Part 4 Learn Institutional Trading Call Option A call option gives you the right to buy the underlying asset at the strike price. Traders buy calls when they expect prices to go up. Example: You buy a call option on Reliance at ₹2,500. If the stock jumps to ₹2,700, your call becomes profitable. 2. Put Option A put option gives you the right to sell the underlying asset at the strike price. Traders buy puts when they expect prices to go down. Example: You buy a put on TCS at ₹3,600. If the stock falls to ₹3,300, your put gains value. Both call and put options derive their value from the underlying asset, which is why they are called derivatives.
Education
by SkyTradingZone
GOLD MARKET UPDATE 11/19 – STRUCTURE HAS SHIFTED1. Market Structure Gold has broken above the H4 downtrend line and completed a successful retest around 4,060–4,070. The strong push toward 4,100 confirms a transition from bearish → short-term bullish. Structural Signals: Buyers are gaining control as price continues forming higher lows The POC zone 4,072–4,075 has turned into strong support Intraday structure is leaning clearly toward a bullish recovery 2. Technical Breakdown – H1 & H4 H4 Trend After the previous strong drop, price is forming a potential bottom around 4,030–4,050 H1 Trend The short-term bullish trend is confirmed after breaking and retesting the descending trendline 3. Key Levels to Watch Support Zones 4,072–4,075 → POC – major support maintaining the bullish structure 4,060–4,065 → minor support – quick-reaction area Resistance Zones 4,108–4,112 → first resistance (H1/H4 confluence) 4,147–4,150 → strong H4 resistance, potential higher target if bullish continuation remains ⚠️ Disclaimer This analysis is for informational and educational purposes only and does not constitute financial advice. Trading involves risk, and you should always conduct your own research before making any trading decisions.
OANDA:XAUUSD
by Mark_Melanie_Gold_Stragegy
SRM 1 Day Time Frame 🔍 Key Levels (Daily Pivot / Support / Resistance) Based on classic pivot calculations from recent prices: Pivot: ~ ₹626.4 approx. Resistance Zones: R1 ~ ₹636.8 R2 ~ ₹645.3 R3 ~ ~ ₹655.7 Support Zones: S1 ~ ₹617.99 S2 ~ ~ ₹607.6 S3 ~ ~ ₹599.1 🎯 My Short-Term View Bullish setup: If the stock holds above the pivot ~₹626 and the support zone near ~₹617-620, it has room to test ~₹636-645 and potentially ~₹655. Risk / caution area: If price drops back below ₹617-620 convincingly, then support near ~₹607-600 becomes important. Ideal buy: A pull-back to the ~₹620 region with confirmation (volume/support) could offer a good risk/reward. Alternatively, a breakout above ~₹645 with strong volume could trigger further upside. Stop / risk control idea: For a long trade, one could consider a stop below ~₹600-607 depending on risk tolerance.
NSE:SRMLong
by Knowledgehub
ENDURANCE 1 Day Time Frame 📌 Key Price Data Last traded price: ~ ₹2,720.50 (as of 19 Nov 2025, ~11:57 AM IST) Day’s high ~ ₹2,729.90, day’s low ~ ₹2,616.10 Previous close: ~ ₹2,615.10 📉 Daily Support & Resistance Zones Based on the intraday range and recent levels: Immediate support zone: ~ ₹2,620 – ₹2,650 (just above the day’s low) Second support: ~ ₹2,580 – ₹2,600 (below current trading, potential break level) Immediate resistance zone: ~ ₹2,730 – ₹2,760 (near day’s high) Higher resistance: ~ ₹2,900 – ₹3,000+ (a more medium-term zone)
NSE:ENDURANCELong
by Knowledgehub
MAHSEAMLES 1 Week Time Frame 🔍 Current Price & Context Latest price ~ ₹570 (on NSE as of today) 52-week low ~ ₹540.50, 52-week high ~ ₹814.30 On the daily technicals: recent signals show moving averages (shorter term) are positive, but the 200-day MA is still signalling “sell”. 📏 Weekly Timeframe Key Levels & Structure Based on pivot-levels, support/resistance calculations and previous ranges: Weekly pivot (Standard) around ~ ₹571.30 Support zone: ~ ₹557-560 region (S1) from pivot table. A major structural support near ~ ₹540-550, given the 52-week low and previous reaction zone. Resistance zone: Immediate resistance ~ ~₹579-580 region (R1-R2) from weekly pivot table. Broader resistance / upside hurdle near ~ ₹600+, and medium term near ~ ₹650-700+ (based on higher pivots & prior highs)
NSE:MAHSEAMLESLong
by Knowledgehub
TCS 1 Day Time Frame ✅ Key numbers Current price: ~ ₹3,147 (NSE) Today’s range: Low ~ ₹3,083.50, High ~ ₹3,149.90 Previous close: ~ ₹3,087.10 📊 Key levels to watch on daily timeframe Support zone: If price drops, watch around ~ ₹3,080-₹3,100 (today’s low region) Immediate resistance: Today’s high ~ ₹3,149.90. If that breaks, next resistance may show up near ~ ₹3,200-₹3,250 (psychological + recent historic minor highs) Trend pivot: The open of ~ ₹3,097 suggests a pivot point; staying above this gives short-term bullish lean, dropping back below may bring weakness Risk zone: If price falls back and breaks below ~ ₹3,050, it may test lower support around ~ ₹2,990-₹3,000 (recent structural support area)
NSE:TCSLong
by Knowledgehub
L&T Technology Services: Correction Complete Near Golden Ratio?After a textbook five-wave impulse from ₹2,924 (2022 low) to ₹6,000 (2024 high), L&T Technology Services appears to have completed a proportional A–B–C correction, finding support precisely near the 0.618 retracement (₹4,099) of the entire advance. Wave Structure The advance from the 2022 low unfolded as a clean 5-wave impulse, capped by Wave 5 near ₹6,000. The subsequent decline subdivides neatly into A–B–C, with Wave C forming a perfect five-wave internal pattern. Sub-wave (v) of C bottomed around ₹3,951 — just below (iii), confirming structural completion with ideal symmetry. Fibonacci & Channel Confluence The decline halted exactly at the 0.618 retracement of the prior impulse — a zone that often attracts buying in post-impulse corrections. The downward-sloping corrective channel that’s guided Wave C is now flattening, with price repeatedly testing its upper boundary. A sustained breakout above ~₹4,300–₹4,400 would signal that the market may be transitioning into a new impulsive phase. Trade Perspective (Educational View) Scenario 1 – Bullish: A weekly close above ₹4,400 confirms breakout from the C-wave channel, opening the door toward ₹5,200 → ₹5,650 in subsequent impulsive waves. Scenario 2 – Extended Correction: Failure to clear the channel and a close below ₹3,950 would extend the correction toward deeper retracements near ₹3,600 or even ₹3,400. Summary L&T Technology Services has now checked every box of a mature corrective phase — Fibonacci alignment, structural symmetry, and wave alternation. A breakout above the declining channel would be the first real hint that the larger uptrend is ready to resume. Until then, patience beats prediction. Disclaimer : This analysis is for educational purposes only and does not constitute investment advice. Please do your own research (DYOR) before making any trading decisions.
NSE:LTTS
by WaveXplorer
GOLD H1 – Trump’s Fed Comments Shake Market Sentiment🟡 XAUUSD – Intraday Smart Money Plan | by Ryan_TitanTrader (19/11) 📈 Market Context Gold is trading in a tight corrective structure as markets react to breaking headlines that Donald Trump is considering removing Fed Chair Jerome Powell. This news injects uncertainty into Fed policy expectations, causing short-term volatility in USD and positioning gold at a critical decision zone. • Trump’s comments increase speculation about a potential policy shift, which may temporarily weaken USD sentiment. • However, gold remains capped below the premium supply zone as institutional flows continue to engineer liquidity sweeps. • Price is hovering near $4,080 ahead of key Fed-related discussions, keeping both sides of liquidity active. Institutional order flow suggests controlled accumulation at the discount range while premium regions remain defended by sellers. 🔎 Technical Analysis (1H / SMC Structure) • Structure: Price is forming a short-term distribution pattern after multiple BOS events from the 4150 breakdown. • Premium Sell Zone: 4109–4111, aligning with unmitigated supply and internal liquidity pockets. • Discount Buy Zone: 4009–4007, sitting inside a clean demand block + previous sell-side sweep. • Liquidity: → Buy-side liquidity sits above 4111, where equal-high clusters form. → Sell-side liquidity rests between 4007–4000, where earlier long positions were cleared. 🔴 Sell Setup (Premium Reaction Zone) • Entry: 4109 – 4111 • Stop-Loss: 4119 • Take-Profit: → 4055 (minor inefficiency) → 4028 (BOS retest) → 4009–4007 (discount demand) 📌 Execute only after a liquidity sweep into the zone + bearish CHOCH on M5–M15. 🟢 Buy Setup (Discount Reaction Zone) • Entry: 4009 – 4007 • Stop-Loss: 4000 • Take-Profit: → 4040 (short-term range high) → 4075 (inefficiency rebound) → 4105/4110 (premium retest) 📌 Valid if price sweeps 4007 and shows bullish displacement. ⚠️ Risk Management Notes • Expect volatility as traders react to Trump’s comments on Fed leadership. • Avoid trading in the 4030–4080 chop zone without a clear structural break. • Reduce position size during impulsive spikes around USD sentiment shifts. • Trail stops once price clears each liquidity pocket. 📝 Summary Gold is being influenced heavily by uncertainty around Trump’s remarks about replacing Fed Chair Powell. Liquidity is building at both extremes, offering clean opportunities at the edges of the range. • Sell Zone: 4109–4111 (premium supply) • Buy Zone: 4009–4007 (discount accumulation) Expect a manipulation → reaction → continuation pattern as institutions play both sides of the current structure. 📍 Follow @Ryan_TitanTrader for more Smart Money updates. 🎁 Gifts in BIO for traders who follow daily plans.
OANDA:XAUUSDShort
by Ryan_TitanTrader
Bitcoin Turn Bearish In Monthly Time frameWhat’s going on Bitcoin slipped significantly this week, dropping into the US$90,000–96,000 range, marking roughly a 10% decline for the week. The decline has pushed BTC to trade around 20-25% below its all-time high of US$126,200. On-chain data shows that long-term holders (those who typically hold and not sell) have sold ~815,000 BTC in the past 30 days—the highest such volume since Jan 2024. That suggests weakening conviction among “Holders”. What’s working against Bitcoin Recently, Bitcoin dropped below ~US$90k marking its lowest levels in months. The monthly technical structure shows signs of weakness. Macro risks are elevated: policy uncertainty (e.g., interest rates) could dampen demand for risk assets. Key Levels & Scenario Support Level 1: ~$85,250–$80,704 marked on the chart in weekly time frame, there could be a sharper drop. till Support -1 in monthly time frame ~$70,825–$57,750 Close below $85,000 in weekly and monthly time frames opens up more downside risk. Given the mixed signals, I'm slightly cautious/bearish for next week, expecting consolidation in the weekly time frame and downside rather than a strong rally. If the macro/risk environment improves, upside is possible, but as of now, the risk of further decline is stronger than upside. Disclaimer High Risk Investment Trading or investing in assets like crypto, equity, or commodities carries high risk and may not suit all investors. Analysis on this channel uses recent technical data and market sentiment from web sources for informational and educational purposes only, not financial advice. Trading involves high risks, and past performance does not guarantee future results. Always conduct your own research or consult a SEBI-registered advisor before investing or trading. This channel, Render With Me, is not responsible for any financial loss arising directly or indirectly from using or relying on this information.
Short
by renderwithme
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