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Part 1 Intraday Trading Master ClassWho Wins More—Option Buyers or Sellers? Option buyers have limited risk and unlimited reward, but their probability of success is lower because: Time decay works against them. They need strong directional movement within a short time. Option sellers (writers) have limited profit but higher probability of winning because: Time decay works in their favor. Markets stay range-bound more often than they trend strongly. Thus, professional traders often prefer option selling strategies like: Iron condor Straddle Strangle Credit spreads Covered calls Retail traders, on the other hand, prefer buying options due to lower capital requirements.
FOREXCOM:XAUUSDEducation
by SkyTradingZone
Learn Candle PatternsCandlestick patterns are one of the most important tools in technical analysis, used by traders around the world to understand market psychology, predict price movement, and identify buying or selling opportunities. Each candle on the chart tells a story—who is in control (bulls or bears), the strength of the price move, and the potential reversal or continuation of the trend. When combined into patterns, candlesticks offer powerful signals that help traders make better decisions. A single candlestick is made of four data points: open, high, low, and close. The body represents the open-to-close range, while wicks (shadows) show the highs and lows. Bullish candles generally close above the open, and bearish candles close below the open. Understanding this basic structure is essential before analyzing patterns. Candlestick patterns are broadly categorized into reversal patterns and continuation patterns. Reversal patterns indicate a potential change in trend, while continuation patterns suggest the existing trend is likely to continue. These patterns can be single-candle, double-candle, or multi-candle formations.
NSE:NIFTYEducation
by TechnicalExpress
Premium Chart Patterns Chart patterns are one of the most powerful tools in technical analysis. They visually represent how price behaves over time and help traders understand market psychology, identify trend direction, and predict future price movements. Whether a trader is dealing with equities, commodities, currencies, or indices like NIFTY or BANKNIFTY, chart patterns offer high-probability setups for both intraday and positional trading. At their core, chart patterns indicate market sentiment—fear, greed, indecision, accumulation, distribution, breakouts, or reversals. When repeated price behaviour forms recognizable shapes on a chart, traders can use them to anticipate the next move. These shapes emerge from support, resistance, trendlines, and consolidation zones. Broadly, chart patterns are classified into three categories: Reversal Patterns – Signal a trend reversal Continuation Patterns – Indicate the trend will resume Bilateral Patterns – Suggest breakout in either direction
NSE:SBINEducation
by TechnicalExpress
Part 12 Trading Master Class With ExpertsRisk in Option Trading Although options can be powerful, they carry risks: 1. For Option Buyers Premium can become zero if market doesn’t move as expected. Time decay works against buyers. 2. For Option Sellers Potentially unlimited loss in selling naked calls or puts. Require higher capital and margin. 3. Volatility Risk Sudden drop in volatility can reduce premium even if direction is correct. 4. Liquidity Risk Some strike prices have low liquidity, making entry/exit difficult.
NASDAQ:TSLAEducation
by SkyTradingZone
Who Controls the Trade Market?1. Governments and National Policies Governments are among the most significant influencers of global trade. They do not directly “control” the entire trade market but shape it through: a. Trade Policies Countries impose: Tariffs Import/export taxes Quotas Subsidies Sanctions These tools can encourage or restrict trade. For example, a country may impose tariffs on imported steel to protect its local steel industry, affecting global steel prices and trade flows. b. Trade Agreements Nations sign bilateral and multilateral agreements such as: WTO Agreements Regional trade blocs (EU, ASEAN, NAFTA/USMCA, MERCOSUR) Free trade agreements (India–UAE CEPA, EU–Japan EPA) Such agreements define tariff structures, market access, rules of origin, and dispute mechanisms. They create predictable trade environments that shape global flows. c. Currency and Monetary Policy Governments influence their currency through central banks, affecting: Export competitiveness Import costs Balance of payments For example, a weaker currency makes a country’s exports cheaper globally, increasing trade activity. 2. Central Banks and Interest Rate Policies Central banks indirectly influence the trade market by controlling: Interest rates Foreign exchange reserves Money supply Inflation These factors alter import/export demand, capital flows, and trade financing costs. The U.S. Federal Reserve, ECB, Bank of Japan, and People's Bank of China have an outsized influence because their currencies drive global trade settlements. 3. The World Trade Organization (WTO) The WTO does not “control” trade but regulates and oversees the global trading system. It: Sets rules for fair trade Resolves trade disputes Ensures nondiscriminatory trade practices Manages global tariff schedules When trade conflicts arise—such as U.S.–China tariff disputes—WTO rulings influence the direction of global commerce. 4. Global Corporations and Multinational Companies Large corporations have enormous power over global trade because they operate massive supply chains that span continents. This includes: Tech giants like Apple, Samsung, and TSMC Automotive leaders like Toyota, Volkswagen, and Tesla Energy majors like ExxonMobil, Saudi Aramco, BP Retail giants like Amazon, Walmart These companies determine: Where factories are located What resources are needed How goods move across borders Because of their sheer scale, multinational companies influence labor markets, commodity demand, transportation networks, and global logistics. 5. Commodity Exchanges and Financial Markets International exchanges play a key role in price discovery. Examples include: Chicago Mercantile Exchange (CME) – agriculture, energy, metals London Metal Exchange (LME) – base metals New York Stock Exchange (NYSE) – equities ICE – energy, sugar, cotton These exchanges: Set global benchmark prices Facilitate futures and options trading Provide hedging tools for buyers and sellers Thus, financial traders and institutions heavily influence short-term market movements, especially in oil, gold, crops, and currencies. 6. Banks and Financial Institutions Trade requires financing. Large banks such as: JPMorgan HSBC Citi Deutsche Bank Standard Chartered provide: Letters of credit Trade loans Forex settlement Risk management tools Without these institutions, global trade would slow dramatically, especially for developing economies. 7. Geopolitical Powers and Global Politics Political decisions deeply affect trade. The world’s major power centers—the U.S., China, EU, India, Japan, Russia—shape trade through: Economic alliances Trade warfare (tariffs, sanctions) Military presence near trade routes Resource control Investment in foreign infrastructure Geopolitical tensions such as the Russia–Ukraine war, South China Sea disputes, or Middle Eastern conflicts often disrupt supply chains, shipping lanes, and commodity prices. 8. Cartels and Organized Commodity Groups Some commodities are influenced by producer groups or cartels. The most powerful example is: OPEC The Organization of the Petroleum Exporting Countries coordinates oil production to influence global oil prices. Although they do not fully control the oil market, their decisions strongly impact: Crude supply Energy prices Inflation globally Other organized groups exist in diamonds, copper, and certain agricultural sectors, but none are as influential as OPEC. 9. Supply Chain and Logistics Networks Trade physically moves through: Shipping companies Port authorities Airlines Freight forwarders Rail networks Global shipping giants like Maersk, MSC, and COSCO operate vast fleets and control a significant portion of global container movement. Congestion at a major port can affect trade worldwide. 10. Digital Platforms, E-Commerce, and Technology In the 21st century, platforms such as Alibaba, Amazon, and Shopify influence global trade patterns by enabling cross-border commerce at scale. Additionally, digital tools like: AI forecasting Blockchain-based trade finance Real-time logistics tracking Mobile payments have increased trade efficiency and reduced barriers. 11. Consumers and Market Demand Ultimately, consumer behavior controls the direction of trade. Their preferences shape: What goods are produced Where they are sourced How companies market products For example: Rising demand for electric vehicles increases global trade in lithium, cobalt, and battery components. Demand for fast fashion drives textile imports and exports. Consumers collectively act as a “silent controller” of trade. 12. Conclusion — A System, Not a Single Controller The trade market is not controlled by any one entity. Instead, it operates as a dynamic ecosystem shaped by: Governments Corporations Financial markets Regulators Central banks Geopolitical forces Supply chain networks Consumers
NSE:ICICIBANKEducation
by TechnicalExpress
F&O (Futures and Options) Trading1. What Are Derivatives? Futures and Options are derivative instruments, meaning their value is derived from an underlying asset. This underlying can be: Stocks Indices (NIFTY, BANKNIFTY) Commodities Currencies The underlying’s price movement directly influences the F&O contract. 2. What Are Futures Contracts? A Futures contract is an agreement to buy or sell an asset at a predetermined price on a specific future date. Both parties are obligated to fulfill the contract. Key Features of Futures Obligation: Buyer must buy, seller must sell. Standardized: Lot size, expiry date, and price movement rules are fixed by the exchange. Margin Required: Traders don’t pay full contract value; they pay a margin (~10–20%), which offers leverage. Daily MTM: Profits or losses are settled daily through Mark-to-Market. Example If you buy NIFTY Futures at 22,000 and NIFTY rises to 22,200, you gain 200 points × lot size. If NIFTY falls, you face losses. Where Futures Are Used Speculation: To profit from price movements Hedging: To protect portfolios from adverse market moves Arbitrage: To profit from price differences between spot and futures markets Futures are powerful but risky due to high leverage. 3. What Are Options? An Option is a contract that gives the buyer the right, but not the obligation*, to buy or sell an underlying asset at a specific price before (or on) expiry. Two Types of Options Call Option (CE) – Right to buy Put Option (PE) – Right to sell Two Sides of Options Buyer (Holder): Pays premium, risk limited Seller (Writer): Receives premium, risk can be unlimited Strike Price The price at which you may buy or sell the underlying. Premium The price paid by option buyers. 4. How Option Buyers Make Money Call Buyer Profits when underlying price goes above strike price + premium. Put Buyer Profits when underlying price goes below strike price – premium. Buyers have limited loss (premium) and unlimited profit potential. 5. How Option Sellers Make Money Sellers receive the premium upfront. They profit when: Price does not move beyond breakeven Option expires worthless Time decay eats option value But sellers face unlimited loss risk, especially in naked selling. That’s why option selling must be done with proper hedging and risk management. 6. Expiry and Settlement F&O contracts expire on: Weekly expiry: Every Thursday (Index options) Monthly expiry: Last Thursday of every month After expiry, contracts settle based on closing prices of the underlying. 7. Margin and Leverage Futures require margin to control large positions. Example: NIFTY lot size: 50 NIFTY at 22,000 → Contract Value = 11,00,000 Margin required ≈ ₹1,40,000 This leverage amplifies gains and losses. Options buyers pay only the premium, no margin. Options sellers must pay heavy margins because of high risk. 8. Why Traders Use F&O? A. Hedging Investors use F&O to protect their portfolios. Example: If you own Reliance shares, you can buy a Put Option to hedge downside risk. B. Speculation Traders try to profit from price movements using leverage. Example: Buy BANKNIFTY 500-point movement with small capital by using options. C. Arbitrage Exploiting price differences between: Spot and Futures Option prices (mispricing) Arbitrage is low-risk and often executed by institutions. 9. Option Pricing Factors Option premiums are affected by: 1. Intrinsic Value Value if exercised today. 2. Time Value More time → higher premium. 3. Volatility Higher volatility → higher premium. 4. Interest Rates Small effect, but important for indices. 5. Demand/Supply Market sentiment impacts prices. The most important factors in India’s F&O market are volatility and time decay. 10. Greeks: The Heart of Options Trading 1. Delta Measures price sensitivity. Call Delta: 0 to 1 Put Delta: 0 to –1 2. Gamma Rate of change of Delta. 3. Theta Time decay. Option buyers hate Theta; sellers love it. 4. Vega Effect of volatility on premium. 5. Rho Effect of interest rates (least used). Understanding Greeks is essential for advanced F&O trading. 11. Popular F&O Strategies Directional Strategies Long Call Long Put Short Futures Long Futures Non-Directional Strategies Straddle Strangle Iron Condor Butterfly Hedging Strategies Protective Put Covered Call Collar Strategy Traders use these based on market conditions and risk appetite. 12. Risks in F&O Trading 1. Leverage Risk Small price movements can cause huge losses. 2. Unlimited Loss in Option Selling Selling naked options is extremely risky. 3. Margin Shortfall If losses exceed margin, broker issues margin calls. 4. Time Decay Options buyers lose value every day. 5. Volatility Crush After major events (budget, result days), volatility drops, premiums fall rapidly. 13. Benefits of F&O Trading 1. High Liquidity Especially in NIFTY and BANKNIFTY. 2. Hedging Power Protects portfolio from adverse moves. 3. Leverage Makes it possible to trade large positions with moderate capital. 4. Strategy Flexibility Works in bull, bear, and sideways markets. 5. Potential for High Returns When used correctly. 14. F&O in Indian Markets India is one of the world’s largest F&O markets due to: High retail participation Weekly indexes options Attractive margins High volatility in indices Index Options (NIFTY & BANKNIFTY) dominate over stock options. 15. How to Trade F&O Safely Use stop-loss always Avoid naked option selling Stay aware of global markets Track volatility (India VIX) Use hedged strategies Do not overleverage Maintain discipline Book profits regularly Conclusion F&O trading is a powerful tool for traders and investors, offering leverage, hedging benefits, and the ability to profit from different market conditions. However, F&O trading carries significant risk, especially due to leverage, time decay, and volatility. With proper risk management, strategy, and knowledge of options Greeks, traders can use F&O to enhance returns and protect their portfolios. For beginners, understanding the basics and practicing with small positions is crucial before jumping into advanced strategies or large trades.
NSE:BANKNIFTYEducation
by TechnicalExpress
IIFL 1 Week View📊 Current snapshot Last quoted price: approx ₹540.75 (as of 11 Nov 2025). 1-week return: ~ +0.09%. 52-week high / low: ~ ₹559.75 / ~ ₹279.80. 🔍 1-Week level view Given the current price and recent behaviour, here are some approximate support/resistance zones for the coming week: Support zone: around ₹ 520-530. (if price dips, this may be an area where buyers step in) Resistance zone: around ₹ 555-560. (near the recent high end of the range) Neutral range: ~₹ 530-550 — staying in this band if no strong momentum emerges. Upside breakout scenario: if it convincingly breaks above ~₹ 560, the next target may be ~₹ 570-580. Downside break scenario: if it falls below ~₹ 520, it could test ~₹ 500 or lower in the short term. ⚠️ Important caveats These levels are approximate and depend on market flow, volume, sector news. This is not a recommendation to buy or sell; treat as informational only. NBFC stocks like IIFL can be sensitive to credit/regulation news, which can quickly shift the technicals. The “1-week” view means the horizon is short; volatility could cause levels to be breached.
NSE:IIFLLong
by TechnicalExpress
TATASTEEL 1 Week View🔍 Current context The stock is trading around ₹ 176–177 (as of mid-Nov 2025). On a weekly basis, technical indicators suggest a mixed to weak bias: for example, on daily timeframes many moving averages and indicators show “Sell” signals. On the weekly timeframe (Moneycontrol data) the moving averages, MACD, RSI etc are showing outperform (“bullish”) signals. Key support/resistance pivot levels: Resistance (Classic) ~ ₹ 185.31, ₹ 189.25, ₹ 194.40 Support (Classic) ~ ₹ 176.22, ₹ 171.07, ₹ 167.13 52‐week high ~ ₹ 186.94, 52‐week low ~ ₹ 122.62 🎯 1-Week Trading Levels & Potential Strategy Given the above, here are plausible levels and scenarios for the next week: Upside target: If the stock picks up momentum, a breakout above ~ ₹ 180-185 opens the way toward ~ ₹ 189-190 (resistance). Downside risk: If weakness persists, a drop below ~ ₹ 176 could test support around ~ ₹ 171–172, and potentially down to ~ ₹ 167. Key trigger level: The ~ ₹ 176 region is a hinge. Holding above gives chance for upside; failing it shifts the bias downward. ⚠️ Caveats A 1-week timeframe is quite short; factors such as global steel demand, raw material costs, and domestic policy can impact quickly. Technicals are only one piece of the puzzle — fundamentals, news, sector dynamics matter. The conflicting signals (daily weak vs weekly stronger) mean the stock may trade sideways or range-bound in the short run.
NSE:TATASTEELLong
by TechnicalExpress
Event-Driven and Earnings Trading1. What Is Event-Driven Trading? Event-driven trading is a strategy built around identifiable catalysts that cause sudden price movements. Traders analyze upcoming events, estimate the market reaction, and position themselves before or after the event. Typical Events That Move Markets Earnings announcements Macroeconomic data releases – GDP, CPI, PMI, payrolls Central bank decisions – rate hikes, policy statements Corporate announcements – mergers, acquisitions, buybacks Regulatory changes Product launches & strategic updates Geopolitical events – elections, wars, sanctions Commodity inventory reports – crude oil, natural gas, metals Event traders must understand how these triggers affect sentiment, volatility, and liquidity. 2. Why Event-Driven Trading Works Events catch the market unprepared. Most traders react emotionally. Institutions reposition portfolios. Algorithms trigger stop-loss cascades. This creates: Temporary price inefficiencies Gaps between expectation and reality Large moves driven by volume spikes High volatility that offers fast profits Event trading is attractive because you know when the event will occur, unlike general price prediction where timing is uncertain. 3. Core Approaches in Event-Driven Trading There are three main ways to trade events: (A) Pre-Event Trading (Positioning Before the Event) You take a position based on expectations. Example: If a company historically beats earnings, traders may buy before the results. Advantages Reduced risk because price elasticity is known Follows historical patterns You set clear risk parameters Disadvantages If expectations fail, price can gap sharply Requires strong data analysis (B) Intraday Event Trading (Trading During the Event) This involves trading the reaction as the event unfolds. For example: Fed meeting volatility GDP release Corporate earnings call Key benefit: You trade the actual response, not the prediction. (C) Post-Event Reaction Trading The safest and most reliable approach. You let the dust settle, wait for direction clarity, and then trade. Why it works: Market overreacts initially. Then a more realistic price trend develops. 4. Understanding Earnings Trading Earnings trading is the most popular event-driven strategy worldwide. Every quarter, listed companies declare their financial results, providing enormous trading opportunities. Key Earnings Metrics EPS (Earnings Per Share) Revenue growth Margins Guidance (future outlook) Debt & cash flow Sector performance But profits in earnings trading come not from what the company reports—but from how the market reacts. 5. Pre-Earnings Trading Strategies (A) Expectation vs Reality Play Stocks move based on expectations priced in before earnings. If expectations are too high, even good earnings cause a drop. (B) Historical Pattern Analysis Some stocks behave consistently around earnings: Apple and Amazon often see extreme volatility Banks trade strongly on NIM expectations IT companies react primarily to guidance (C) Options Trading Before Earnings Popular strategies: Straddle (volatility play) Strangle Iron condor Covered call These strategies profit from volatility crush or price spikes. 6. Trading the Earnings Reaction (A) Gap Up / Gap Down Breakouts If a stock gaps up with strong volume after positive earnings, it typically continues higher. Rules for confirmation: Volume 2–3× average Breakout above resistance No immediate sell-off Gap-downs behave similarly in the opposite direction. (B) Trend Continuation Setup After earnings, if a stock establishes a clear direction for 30–60 minutes, the trend usually continues for the day or week. (C) Fade the Overreaction Markets sometimes overreact. Example: Stock drops 10% on earnings but fundamentals remain solid. Institutions start buying the dip. Fading the panic move becomes profitable. 7. Key Skills Required for Event-Driven & Earnings Trading To trade events successfully, you need: 1. Fundamental Understanding Know: Why the event matters What outcome is priced in How the result compares to forecasts 2. Technical Analysis Focus on: Support & resistance Volume profile Breakout levels Trend confirmation Opening range 3. Volatility Management Events bring volatility. You must: Use tight stop losses Reduce position size Avoid emotional entries 4. Risk Management The most important element. Successful event-driven traders always: Risk 1–2% per trade Avoid overleveraging Accept gaps and slippages 8. Tools Used by Event-Driven Traders Professional traders rely on: Economic calendars (for macro events) Earnings calendars Volatility indicators Options implied volatility (IV) Volume and order flow analysis Live news feeds Pre-market scanners These tools help identify catalysts early and plan trades. 9. "Trade for Success" Framework for Event & Earnings Trading To consistently profit, follow this structured approach: Step 1: Identify the Event Look for high-impact events with predictable timelines. Step 2: Study Past Behavior Analyze the stock’s or asset’s previous reactions to similar events. Step 3: Analyze Market Expectations What the market expects determines the reaction more than the event itself. Step 4: Plan Scenarios Prepare three possible outcomes: Positive surprise In-line results Negative surprise And plan trades for each. Step 5: Use Controlled Position Sizes Never go all-in on events. Step 6: Attack Only High-Quality Setups Trade only when: Momentum is clear Volume confirms Trend sustains Market sentiment supports Step 7: Execute With Discipline Event trading is fast-paced—no hesitation. Step 8: Exit Strategically Lock profits early. Avoid greed. 10. Common Mistakes to Avoid Overtrading during events Ignoring the guidance in earnings Trading purely based on news headlines Entering without confirmation No stop-loss planning Letting emotions dictate actions Avoid these to achieve consistent success. Conclusion Event-driven and earnings trading is one of the most powerful ways to profit from the stock market. Events create volatility, volatility creates opportunity, and opportunity creates profit—if traded with discipline. Success lies not in predicting the event, but in understanding market expectations, managing risk, and trading the reaction with precision. With the right preparation, structured planning, and emotion-free execution, event-driven trading can become a reliable, repeatable, and highly profitable approach.
NSE:BSEEducation
by TechnicalExpress
Indian Derivative Secrets1. The First Secret: India is a Market Dominated by Options, Not Futures One of the biggest secrets that new traders miss is that India’s derivatives segment is overwhelmingly options-driven. More than 95% of the total derivatives turnover comes from options. This creates unique behavior: Market often moves to kill option premiums → popularly called premium eating market. Expiry days show violent moves, as both buyers and sellers fight for option decay or reward. Weekly expiries for Nifty, Bank Nifty, and FinNifty create short-term trend cycles. The real secret: Options sellers (institutions, prop desks) control the market more than options buyers (retail). Because sellers have deep pockets and margin power, they dictate pricing through: Heavy shorting on OTM strikes Creating artificial range-bound movements Sudden IV crushes after major events Pinning the market to certain levels on expiry 2. The Second Secret: Open Interest (OI) is a Map of Smart Money Retail traders look at price; professional traders look at Open Interest. Key principles: 1. Rising OI + Rising Price → Long Build-up Indicates accumulation; institutions betting on upward trend. 2. Falling OI + Rising Price → Short Covering Often triggers sharp intraday rallies. 3. Rising OI + Falling Price → Short Build-up A strong bearish signal. 4. Falling OI + Falling Price → Long Unwinding Leads to slow downward drift. But the deeper secret is this: Option OI is used to trap retail traders. Example: If 20 lakh OI sits at Nifty 22500 CE, it creates a wall of resistance. If suddenly the OI reduces, it means sellers are scared → breakout incoming. If OI spikes massively, sellers are confident → reversal incoming. Professionals track: Change in OI in last 5 minutes OI shifting to higher or lower strikes OI unwinding during big candles These help predict short-term market moves before they show on charts. 3. The Third Secret: India’s Market is Driven by Event Volatility Unlike global markets, Indian derivatives see unique event-driven volatility cycles: 1. RBI Policy Days Bank Nifty’s biggest moves occur here. IV spikes → option prices increase. 2. Budget Day High volatility, large swings, unpredictable behavior. 3. Election Results Massive IV spikes that crush instantly post-event. 4. US Fed Days Indian markets react sharply the next morning. The secret? Option sellers thrive before the event; option buyers thrive after. The trick is to identify IV patterns: Before events → IV increases → selling straddles/strangles becomes risky. After events → IV crashes → buyers lose premium but directional traders profit. 4. The Fourth Secret: FIIs Don’t Control the Market Daily — The Myth Many retail traders assume FIIs (Foreign Institutional Investors) drive daily trends. This is not true anymore. The secret: Proprietary trading firms (prop desks) influence intraday to medium-term moves more than FIIs. FIIs provide long-term liquidity, but prop firms dominate: Day trading Spread strategies Gamma scalping Weekly expiry management Arbitrage between indices The “intraday direction” is mostly shaped by: Prop firms (Indian) High-frequency trading algorithms (HFT) Market-making firms 5. The Fifth Secret: Option Pain Theory (Max Pain) Actually Works in India “Max Pain” is the level where the maximum number of option buyers lose money. In India’s weekly expiry system, this theory becomes extremely powerful. Institutions try to move the price toward max pain. Example: If Nifty’s max pain is at 22400 And current price is 22580 Expect slow grinding downward movement on expiry. Why? Because sellers want to make maximum profit from premium decay. Max pain is not 100% accurate, but works exceptionally well: In range-bound markets On expiry days When OI build-up is clean 6. The Sixth Secret: Market Makers Control Intraday Volatility A little-known fact: India’s intraday volatility is heavily influenced by market makers who adjust hedges every second. They use: Delta hedging Gamma scalping Vega exposure reduction Arbitrage between futures and options Calendar spreads This creates sudden: Wicks Fake breakouts Violent reversals Stop-loss hunting Retail often blames “operators”, but the real cause is market-making algorithms. 7. The Seventh Secret: Expiry Day Moves Follow a Predictable Pattern Every Thursday (and Tuesday/Friday for other indices), the market behaves differently. 9:15–11:30 AM Range bound → sellers dominate. 11:30–1:30 PM Small directional move, often fake. 1:30–3:00 PM True move begins after OI shift. 3:00–3:20 PM Massive expiry manipulation. Expiry tricks: Add huge OI at far OTM strikes → trap buyers Shift support/resistance rapidly Trigger SLs of retailers who go long or short The secret strategy that institutions use: Selling ATM straddles and hedging using futures or deep OTM options. 8. The Eighth Secret: Price Moves After Retail Stops Getting Trapped Retail trader behavior is extremely predictable: They buy options after big candles They short after breakdowns They panic during retracements They buy tops and sell bottoms Institutions use this to create traps: Bull Trap Breakout → triggers retail longs → market reverses. Bear Trap Breakdown → triggers retail shorts → market reverses. The secret is to analyze: Long/short buildup data OI spikes near key levels Market structure on 5-minute charts 9. The Ninth Secret: Volume Profile + OI = Institutional Footprint The biggest secret weapon in derivatives trading is combining volume with OI. 1. High Volume + High OI → Strong Institutional Position Expect a trend continuation. 2. High Volume + OI Unwinding → Trend Reversal Institutions are exiting. 3. Low Volume + High OI → Trap Zone Retail buyers are trapped; avoid entries. Conclusion Indian derivatives trading is not random — it follows the logic, psychology, and positioning of big players, OI structure, volatility cycles, and institutional strategies. The key secrets revolve around understanding who controls the market, how OI shapes price, how algorithms influence intraday volatility, and how weekly expiries create predictable traps and opportunities. If you master these hidden mechanisms, derivatives trading transforms from gambling into a strategic and probability-driven game.
Education
by TechnicalExpress
4
Part 9 Trading Master Class With Experts What Are Options? Options are financial contracts that give a trader the right, but not the obligation, to buy or sell an asset at a fixed price (called the strike price) before or on a specific date (called the expiry). The underlying asset could be a stock, index, commodity, or currency. Because options provide choice (whether to exercise or not), they are called “options.” There are two main types: Call Option – gives you the right to buy at a fixed price. Put Option – gives you the right to sell at a fixed price. In both cases, you pay a premium (price of the option). This is the maximum loss for option buyers.
NSE:HDFCBANKEducation
by SkyTradingZone
Candle Patterns Explained Doji Candle – Indicates market indecision where opening and closing prices are almost equal. Hammer Candle – A bullish reversal signal appearing after a downtrend with a long lower wick. Shooting Star – A bearish reversal pattern with a small body and a long upper shadow at the top of an uptrend. Bullish Engulfing – A large bullish candle fully engulfs the previous bearish candle, signaling potential trend reversal upward. Bearish Engulfing – A large bearish candle fully engulfs the previous bullish candle, hinting at a possible downward reversal.
NSE:NIFTYEducation
by TechnicalExpress
Part 8 Trading Master Class With ExpertsRisks in Option Trading While options offer great potential, they also come with risks, especially for sellers. Time Decay: The value of an option decreases as it nears expiry. Volatility Risk: Unexpected drops in volatility can reduce premium value. Unlimited Loss (for Writers): Option sellers can face huge losses if the market moves sharply against them. Complexity: Understanding option behavior and Greeks requires knowledge and experience. Therefore, beginners should start small and practice on demo accounts or low-risk strategies before committing large capital.
BSE:SENSEXEducation
by SkyTradingZone
Part 6 Learn Institutional Trading Option Greeks Option traders use “Greeks” to measure how different factors affect the price of an option: Delta: Measures how much the option price changes with a ₹1 change in the underlying. Gamma: Measures the rate of change of Delta. Theta: Measures time decay – how much value an option loses each day as expiry approaches. Vega: Measures sensitivity to volatility. Rho: Measures sensitivity to interest rates. Understanding Greeks helps traders manage risk and make informed decisions.
NSE:KOTAKBANKEducation
by SkyTradingZone
Part 4 Learn Institutional Trading Participants in the Options Market There are four types of participants in the options market: Buyers of Call Options – Expect the price to go up. Sellers of Call Options – Expect the price to stay the same or fall. Buyers of Put Options – Expect the price to fall. Sellers of Put Options – Expect the price to stay the same or rise. Buyers take limited risk (the premium) with unlimited profit potential, while sellers take limited profit (the premium received) but unlimited risk.
TVC:GOLDEducation
by SkyTradingZone
Part 3 Learn Institutional Trading How Option Trading Works When you trade options, you’re speculating on how the price of the underlying asset will move within a specific time frame. Here’s how it works for both types of options: a) Call Option Example Suppose Reliance stock is trading at ₹2,500. You buy a Call Option with a strike price of ₹2,520, paying a premium of ₹20. b) Put Option Example You buy a Put Option on Reliance with a strike price of ₹2,480 and pay a ₹15 premium.
NSE:BAJFINANCEEducation
by SkyTradingZone
Part 2 Ride The Big Moves Key Terminology in Option Trading To understand option trading, you must be familiar with a few important terms: Underlying Asset: The financial instrument (e.g., NIFTY, Bank NIFTY, Reliance Industries) on which the option is based. Strike Price: The fixed price at which the underlying can be bought or sold. Premium: The price paid by the buyer to the seller for owning the option contract. Expiry Date: The last day on which the option can be exercised. In India, index options usually expire weekly or monthly. Lot Size: The minimum quantity of the underlying asset that can be traded per option contract. In the Money (ITM): When exercising the option gives a profit. At the Money (ATM): When the strike price equals the current market price. Out of the Money (OTM): When exercising the option gives no profit.
TVC:USOILEducation
by SkyTradingZone
Axis bank is forming a good buy scenario.Axis Bank is in slow selling for weeks after a strong rally and now forming a bullish scenario. It is taking reversal from protection trendline and braking out bearish trendline. It is also taking support from daily order block. it is also taking rejection from 21 EMA All other Higher duration EMAs are synced in upside direction. Rejection point is forming a cluster of multiple parameters . All these in combination making it an attractive buying scenario.... Note – if you liked this analysis, please boost the idea so that other can also get benefit of it. Also follow me for notification for incoming ideas. Also Feel free to comment if you have any input to share. Disclaimer: This analysis is for educational purposes only and does not constitute investment advice. Please do your own research (DYOR) and check with your financial advisor before making any trading decisions.
NSE:AXISBANKLong
by HareeyMarketMantraah
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ANGELONE 1 Day Time Frame 📌 Key Levels (Daily) Pivot (Classic): ≈ ₹2,675.77. Resistance zones: R1 (Classic): ~ ₹2,713.73 R2: ~ ₹2,747.97 Support zones: S1 (Classic): ~ ₹2,641.53 S2: ~ ₹2,603.57 ⚠️ Important Caveats These levels are calculated from daily data — they do not guarantee the stock will only move within these ranges or behave exactly as outlined. Market conditions, news, F&O flows, and broader sector moves can invalidate these levels rapidly. Use these levels along with your own risk management: stop-losses, position size, and timeframe. The data may have a delay or slight inaccuracy — always cross-verify with live quotes.
NSE:ANGELONELong
by Knowledgehub
Part 1 Ride The Big Moves What is an Option? An option is a financial derivative whose value is derived from an underlying asset such as a stock, index, or commodity. Options come in two primary forms: Call Option: It gives the holder the right to buy the underlying asset at a predetermined price (known as the strike price) before or on the expiry date. Put Option: It gives the holder the right to sell the underlying asset at a predetermined strike price before or on the expiry date. The buyer of an option pays a premium to the seller (also called the writer) for this right. The seller receives the premium as income but takes on the obligation to buy or sell the asset if the buyer chooses to exercise the option.
NASDAQ:TSLAEducation
by SkyTradingZone
RIL 1 Hour Time Frame🔍 Current basics Latest traded price: ~ ₹1,518 on NSE. 52-week range: Low ~ ₹1,114.85, High ~ ₹1,551.00. Technical indicator summary (on 1-hour/higher timeframes) shows a “Strong Buy” bias. ⚠️ Risks / Caveats Even though the technicals are bullish, the stock is close to its 52-week high (~ ₹1,551). Highs often mean less “room” for upside without some pullback. Intraday patterns can change quickly with macro news or sector moves (eg: oil & gas, regulatory). Support at ~₹1,500 is fairly close to current; a break could expose the ₹1,470–₹1,480 region. Because this is a large-cap and widely held stock, institutional moves and volume matter a lot.
NSE:RELIANCELong
by Knowledgehub