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BUY TODAY SELL TOMORROW for 5%DON’T HAVE TIME TO MANAGE YOUR TRADES? - Take BTST trades at 3:25 pm every day - Try to exit by taking 4-7% profit of each trade - SL can also be maintained as closing below the low of the breakout candle Now, why do I prefer BTST over swing trades? The primary reason is that I have observed that 90% of the stocks give most of the movement in just 1-2 days and the rest of the time they either consolidate or fall Trendline Breakout in ASHAPURMIN BUY TODAY SELL TOMORROW for 5%
NSE:ASHAPURMIN
by Kapil-Mittal
2
KPIL 1 Day Time Frame 📊 Current Price Last traded around ₹1,226.90 (as of about 11:58 AM IST on 20 Nov 2025) on NSE. Day’s low ≈ ₹1,213.10, day’s high ≈ ₹1,239.30. 52-week range: Low ~ ₹786.30, High ~ ₹1,352.85. ✅ Interpretation & Notes The stock is hovering near the ~₹1,225 level — which is near the 100-day MA, so it’s at a kind of technical crossroads. With the price range for the day being relatively narrow (~₹1,213 to ~₹1,239), it suggests limited intraday volatility so far. The gap between recent price and 52-week high (~₹1,352) indicates potential upside but that will depend on catalyst and momentum. However, if the stock fails to hold above the ~₹1,200 support zone, it could drift toward weaker levels.
NSE:KPILLong
by Knowledgehub
EICHERMOT 1 Day Time Frame 📋 Key price info Current quote: ~ ₹7,084.50 (as of around midday) Today’s high: ~ ₹7,108.00 Today’s low: ~ ₹6,886.50 52-week high: ~ ₹7,122.50 52-week low: ~ ₹4,646.00 ✅ Bias / scenario (for day-frame) Bullish: If price decisively breaks above ₹7,120 with volume, momentum could carry further. Caution: Because price is near its highs, downside risk exists if it stalls or reverses from this resistance zone. Intra-day trade idea: Watch how it behaves around the support ~₹6,850-₹6,900 — if it holds, you might look for a bounce; if it breaks sharply, risk of deeper pullback.
NSE:EICHERMOTLong
by Knowledgehub
Part 11 Trading Master Class With Experts What Are Options? Options are financial contracts that give you the right, but not the obligation, to buy or sell an underlying asset (usually stocks, indices, or commodities) at a fixed price within a specific period. There are two types of options: Call Option – Gives the buyer the right to buy the asset at a pre-decided price (strike price). Put Option – Gives the buyer the right to sell the asset at a pre-decided price. Each option contract has three key components: Strike Price – The fixed price at which you may buy or sell. Premium – The price you pay to purchase the option. Expiry Date – The date on which the option ceases to exist. In India, options are cash-settled and expire weekly (for indices) or monthly (for stocks).
NSE:HDFCBANKEducation
by SkyTradingZone
New Traders’ Mistakes That They Should Avoid1. Trading Without a Proper Plan One of the biggest and most common mistakes is trading without a plan. Many beginners jump into the market based on tips, social media signals, or impulses. They take trades without having clear entry criteria, stop-loss levels, or profit targets. Trading without a strategy is like driving without direction—you may reach somewhere, but not where you intended. A good trading plan should include: Market selection (stocks, forex, commodities, crypto, etc.) Timeframe you want to trade Entry and exit conditions Risk management rules Position sizing Maximum daily or weekly loss limit A plan provides structure and minimizes emotional decisions. 2. Ignoring Risk Management Risk management is the backbone of successful trading, yet beginners often overlook it. Many new traders risk too much on a single trade or avoid using stop-loss orders because they are “sure” the price will move in their favor. Typical risk-management mistakes include: Risking more than 2% of account capital per trade Not placing a stop-loss Moving the stop-loss further away to avoid exiting Using high leverage without understanding it Effective risk management ensures that a few losing trades don’t destroy your entire account. Professionals understand that preservation of capital is more important than chasing big profits. 3. Overtrading and Revenge Trading New traders often feel pressured to be in the market constantly. Overtrading happens when traders take too many trades, even when there is no clear setup. This usually leads to emotional decisions and unnecessary losses. Another related mistake is revenge trading, where traders try to quickly recover losses by placing impulsive trades. This behavior results in even bigger losses. To avoid this, trade only when your setup appears. Quality beats quantity. 4. Letting Emotions Drive Decisions Trading is a psychological game. Fear, greed, hope, and frustration are powerful emotions that influence new traders. Examples include: Greed leading to holding positions too long Fear preventing you from entering a good setup Hope making you avoid closing a losing trade Frustration causing revenge trades Emotions cloud judgment and break discipline. Successful traders follow logic, not feelings. Practicing discipline and sticking to your plan is key to long-term success. 5. Using Too Much Leverage Leverage amplifies gains—but also losses. New traders are often attracted to high leverage because it allows larger positions with small capital. However, even small market movements can wipe out the account. For example, in forex or futures, 1:50 or 1:100 leverage can be extremely risky if not used properly. To avoid this mistake: Start with low leverage Use proper position sizing Understand margin requirements and liquidation risk Smart traders treat leverage like a sharp tool—useful, but dangerous if mishandled. 6. Not Keeping a Trading Journal Most beginners take trades and move on without analyzing what went right or wrong. Without a trading journal, you cannot identify patterns in your behavior or strategy. A trading journal should record: Date and time of entry Chart screenshot Entry/exit price Stop-loss and target Result of the trade Emotions and reasoning behind the trade This habit helps improve discipline and refine your system. 7. Following Tips, Noise, and Social Media Signals Many new traders rely on tips from friends, influencers, Telegram groups, or YouTube videos. The problem is that most of these sources do not explain the logic behind the trade or the risk involved. Acting on tips without understanding the market leads to blind trading and quick losses. Instead: Learn technical and fundamental analysis Understand the reason behind every trade Follow a tested strategy, not random opinions Smart traders trust data, not noise. 8. Unrealistic Expectations of Fast Wealth The biggest psychological trap for new traders is the belief that trading will make them rich quickly. This mindset pushes traders to take oversized risks, leading to frequent blow-ups. Successful trading requires: Years of learning Discipline and emotional control Proper risk management Realistic expectations Think long-term and focus on consistency rather than big, quick profits. 9. Not Understanding Market Conditions Markets don’t behave the same every day. Sometimes they trend strongly; other times they move sideways or show high volatility. New traders often use the same strategy in all market conditions, leading to losses. Understanding market phases helps you adapt your strategy. For example: Trending markets favor breakout or trend-following strategies Sideways markets favor range trading or mean reversion High volatility requires wider stop-loss and smaller positions Adapting to market conditions drastically improves performance. 10. Lack of Patience Patience is a superpower in trading. New traders often: Enter too early Exit too early Fail to wait for confirmation Want every trade to be profitable instantly Markets reward patience and punish impulsiveness. Waiting for the perfect setup improves win rates and reduces unnecessary losses. 11. Not Practicing on Demo/Backtesting Many beginners jump straight into live trading without testing their strategy. This is like flying a plane without training. Practicing on a demo account helps you understand: Market movements Platform functions Strategy performance Emotional reactions Backtesting on historical data helps validate your strategy’s reliability. 12. Ignoring News and Economic Events Major economic events—like interest rate decisions, CPI data, jobs reports—can cause sharp market movements. Beginners often get trapped when they trade unknowingly during high-impact events. Always check the economic calendar before entering a trade. Conclusion New traders often fail not because markets are impossible, but because they repeat common, avoidable mistakes. Success in trading comes from discipline, risk management, continuous learning, and emotional control. By avoiding the mistakes listed above and building a strong foundation, new traders can gradually develop the skills required to navigate the financial markets confidently.
FX:XAUUSDEducation
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
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
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
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
Candle Patterns 1. Buyers Push price upward Create green candles Long wicks show rejection of low prices 2. Sellers Push price downward Create red candles Long top wicks indicate weakening buying strength 3. Indecision Appears in dojis and spinning tops Market is waiting for direction 4. Reversals Appear when buyers overpower sellers or vice-versa Engulfing, hammer, shooting star signal possible turning points 5. Continuation Patterns like Rising Three Methods show temporary rest before trend resumes
NSE:TATASTEELEducation
by TechnicalExpress