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Learn Institutional Option Trading Part-6Mutual Funds in India: Mutual funds pool money from multiple investors and invest in a diversified portfolio. Types: Equity Mutual Funds Debt Mutual Funds Hybrid Funds Index Funds & ETFs Systematic Investment Plan (SIP) is a popular method to invest monthly with discipline. Government Schemes: PPF (Public Provident Fund) NSC (National Savings Certificate) EPF (Employees Provident Fund) These are safe, tax-efficient, and suitable for conservative investors.
NSE:BANKNIFTY1!Education
by SkyTradingZone
5
Learn Institutional Option Trading Part-5Stock Market Investing: Stock investing involves buying shares of publicly traded companies listed on NSE or BSE. Why Indians Invest in Stocks: Potential for higher returns. Dividend income. Portfolio diversification. Approaches to Investing: Fundamental Analysis: Based on financial health, growth potential, and management quality. Technical Analysis: Based on price patterns, volumes, and charts. Long-Term Investing: Holding stocks for years to build wealth. Short-Term Trading: Buying and selling stocks within days or weeks.
BSE:SENSEXEducation
by SkyTradingZone
4
Learn Institutional Option Trading Part-4Recent Growth of Options in India: Retail participation has surged. Weekly expiry options (especially on Bank Nifty) have become extremely popular. SEBI introduced lot size and margin regulations to control excessive speculation. Investing in India What is Investing? Investing means allocating money into assets like stocks, mutual funds, bonds, gold, or real estate to earn returns over time. Major Investment Options in India: Equities (Shares) Mutual Funds Fixed Deposits Public Provident Fund (PPF) Gold (Physical and Digital) Real Estate Bonds and Debentures
NSE:HDFCBANKEducation
by SkyTradingZone
5
Learn Institutional Option Trading Part-2Option Greeks in India: Delta: Measures sensitivity to price changes. Theta: Measures time decay. Vega: Measures sensitivity to volatility. Gamma: Measures change in Delta. Indian traders use these Greeks to manage risk and optimize strategies. Risks in Indian Option Trading: Premium Decay: Loss in value as expiry approaches. High Volatility: Can cause sudden losses. Liquidity Risk: Some options have low trading volume. Complexity: Requires deep market knowledge.
NSE:BANKNIFTYEducation
by SkyTradingZone
Learn Institutional Option Trading Part-3In India, options are traded primarily on: NSE (National Stock Exchange) BSE (Bombay Stock Exchange) The Securities and Exchange Board of India (SEBI) regulates the derivatives market and ensures fair practices. Why is Option Trading Popular in India? Leverage: Traders can control large positions with small capital. Hedging: Investors use options to protect their portfolios from market fluctuations. Income Generation: Strategies like covered calls can provide regular income. Speculation: Traders can bet on price movements with limited risk.
OANDA:BTCUSDEducation
by SkyTradingZone
6
Learn Advanced Institutional TradingOption trading is a part of the derivatives market where investors buy and sell contracts known as options. These contracts derive their value from an underlying asset, which can be a stock, index, commodity, or currency. In India, the most commonly traded options are based on Nifty 50, Bank Nifty, and stocks like Reliance, TCS, Infosys, etc. Options give traders the right, but not the obligation, to buy or sell the underlying asset at a predetermined price (strike price) before or on the expiry date. Types of Options: Call Option: Gives the buyer the right to buy the underlying asset. Put Option: Gives the buyer the right to sell the underlying asset.
NSE:NIFTYEducation
by SkyTradingZone
3
Option TradingIndia’s financial markets are rapidly evolving, and the participation of retail investors, institutions, and foreign players has significantly increased over the past two decades. Among various investment avenues, option trading, equity investing, and gold trading have become the most prominent ways of wealth creation and hedging against risks. Each of these segments has its unique importance, strategies, and regulatory frameworks in India. This guide will help you understand the core concepts, market structure, strategies, and risks associated with Indian Option Trading, Equity Investing, and Gold Trading in a simple and practical manner.
NSE:BANKNIFTYEducation
by SkyTradingZone
2
Share India Securities Ltd. ---- Deep AnalysisShare India Securities Ltd. 1. -----Company Technical Analysis Data Analysis -- Based on ICT and SMC Concepts TIME Frame -- 1 hour Chart Elements & Observations ---- Market Structure -- 1. Clear bearish structure earlier with Lower Lows(LL) and Lower High(LH). -- 2. Market Structure Shift (MSS) observed which indicates a possible reversal -- 3. BOS(Break of structure) confirms shift from bearish to bullish bias. Short Term Outlook (3-6 Weeks) --- -- Price is currently retracing after recent high (190 levels) -- We are projecting price to move down to the demand zone @150-160 levels followed by accumulation and reversal. -- Short term plan is just watch price around 145-150, if price forms a liquidity sweep + Bullish structure then this is a potential buy Zone. -- RSI confirmation will strengthen this zone (here we will look for bullish divergence again.) Short term trade plan -- Buy zone - 145-150 (after confirmation Liq. sweep, bullish engulfing candle and OB Tap) Stop Loss - 135--138 (Liquidity Below demand) Target -1 ---- 175 (Retest structure) Target -2 ---- 190 (Recent High), Target -3 -----220 (Extreme Liquidity Zone) Keep note that ----- If price 148-145 demand zone fails then next Higher Time Frame demand may come near 135 levels. All Traders and Market Influencers, Your Views or comments are most welcomed. Thank You. ==============================================================================
NSE:SHAREINDIA
by Hit_Analyst
Institutions Option Database Trading Part-6Deep Dive into Options Basics (For Data Traders) Options are contracts giving the right but not the obligation to buy or sell an asset at a certain price before a set date. They are used for hedging, speculation, and generating income. 🛠️ Two Types: Call Option: Right to buy an asset. Put Option: Right to sell an asset. Backtesting means testing a strategy using past data to check performance. Key for data-driven option trading. Example: Load 1-year option chain data for BANKNIFTY. Apply rules: Buy Call when IV drops by 10% & PCR < 0.8. Check PnL for each trade. Filter for success rate > 65%.
MCX:CRUDEOIL1!Education
by SkyTradingZone
Institutions Option Database TradingDatabase Option Trading is a powerful blend of market logic and data science. With structured data, intelligent scanning, and strategic execution, traders gain a massive edge over emotional/manual decisions. This approach is ideal for traders aiming for consistent performance, lower drawdowns, and systematic growth. The more you code, automate, and analyze—the better you trade. Sample Strategy - PCR + OI Spike Strategy Logic: If PCR > 1.3 and Call OI Spike at ATM > 15%, initiate a Put Sell. Exit when PCR drops below 1.1 or OI unwinds. Backtest Results (NIFTY Options): Win Rate: 72% Avg Profit per Trade: ₹4800 Max Drawdown: ₹9800
NSE:HDFCBANKEducation
by SkyTradingZone
2
Long Term Database TradingHow Institutions Use Option Databases 🔍 Institutional Insights: Banks & HFTs (High-Frequency Traders) run option strategies over petabytes of data. Real-time arbitrage opportunities are found using option databases. They model Vega, Theta & IV impact per stock and expiry. Example Institutional Workflow: Pull 10 years of NIFTY options. Train ML model to predict next-day IV. Execute based on high-probability straddles/strangles. Exit before expiry using trailing delta hedge.
NSE:NIFTYEducation
by SkyTradingZone
3
Database Trading Introduction to Database Option Trading Database Option Trading is an advanced strategy where traders use massive historical and real-time market data stored in structured databases to identify profitable option trades. Unlike conventional trading, this approach focuses on data-driven decision-making—leveraging algorithms, statistics, and pattern recognition rather than pure technical/fundamental analysis. 2. The Role of Data in Option Trading Types of Data Used: Option Chain Data: Strike prices, premiums, LTP, OI, IV, volume. Historical Data: Past price action, volatility, Greeks, PCR. Sentiment Data: FII/DII positions, news sentiment. Real-Time Market Feeds: Tick-by-tick updates. Macroeconomic Data: Interest rates, inflation, events.
NSE:BANKNIFTYEducation
by SkyTradingZone
1
Learn Institution Trading Part -6Introduction to Institutional Option Trading Institutional option trading refers to the sophisticated strategies used by hedge funds, mutual funds, insurance companies, proprietary trading firms, and foreign institutional investors (FIIs) to manage portfolios, hedge risks, and generate consistent alpha from the derivatives market. Unlike retail traders, institutions operate with large capital, access to advanced technology, and deep market insights, allowing them to structure complex trades. 2. Why Institutions Trade Options Institutions don’t usually trade options for quick profits. Their trades are designed to meet broader objectives: Hedging Equity Portfolios Volatility Trading Generating Yield on Holdings Market Making and Arbitrage Directional or Non-directional Speculation 3. Core Institutional Option Strategies Let’s explore the most popular strategies that institutions use with real-world logic behind them. A. Covered Call (Buy-Write) Use: Income generation from long-term stock holdings Structure: Buy stock + Sell Call Option (OTM or ATM) Institutional Use Case: A mutual fund holding Reliance shares might sell monthly call options against its holdings to generate monthly income (premium), enhancing total returns.
NSE:BANKNIFTYEducation
by SkyTradingZone
7
Learn Institution Trading What is Institutional Option Trading? It refers to large-scale option strategies used by hedge funds, banks, and FIIs to manage risk, hedge portfolios, or create directional bets with high precision. 🔹 Key Institutional Strategies: Buy-Write (Covered Call): Holding stocks and selling calls to earn premium. Protective Put: Buying puts as insurance to hedge stock positions. Multi-leg Spreads (Iron Condor, Butterfly): Neutral strategies to profit from range-bound markets. Put-Call Ratio Analysis (PCR): Gauging market sentiment from institutional flow.
BSE:SENSEXEducation
by SkyTradingZone
7
Advanced Divergence Trading What is Divergence? Divergence happens when the price moves in the opposite direction of an indicator (like RSI, MACD, or Momentum). It signals a possible trend reversal or trend weakening. 🔹 Types of Divergence: Regular Divergence (Trend Reversal): Bullish: Price makes lower lows, but indicator makes higher lows → Reversal up Bearish: Price makes higher highs, but indicator makes lower highs → Reversal down Hidden Divergence (Trend Continuation): Bullish: Price makes higher lows, indicator makes lower lows → Trend continuation up Bearish: Price makes lower highs, indicator makes higher highs → Trend continuation down 🔹 Advanced Tips: Use on higher timeframes for accuracy Confirm with volume, trendlines, or price action Combine with support/resistance or Fibonacci zones 🔹 Pro Tools to Use: RSI (Relative Strength Index) MACD (Moving Average Convergence Divergence) Stochastic Oscillator OBV (On Balance Volume)
NSE:NIFTYEducation
by SkyTradingZone
6
Support and Resistance ExplainedWhat is Support? Support is a price level where a stock tends to stop falling due to increased buying interest. Traders view it as a demand zone where bulls often enter the market. Example: If Reliance repeatedly bounces from ₹2,700, that level is acting as support. 🔹 What is Resistance? Resistance is a level where a stock tends to stop rising due to selling pressure. It's a supply zone where bears usually take control. Example: If Nifty keeps failing to cross 23,500, it's a resistance level. 🔹 Why They Matter: Help in identifying entry and exit points Show where trend reversals may occur Aid in setting stop-loss and targets 🔹 How to Spot Them: Look for price bounces or rejections Use tools: horizontal lines, moving averages, Fibonacci retracements Confirm with volume spikes 🔹 Key Strategy: Buy near support (low risk) Sell near resistance (high probability) Trade breakouts or reversals with confirmation
NSE:BANKNIFTYEducation
by SkyTradingZone
6
Support and Resistance Support Level: A price level where demand is strong enough to prevent the price from falling further. It's like a floor—buyers enter here expecting prices to rise. Example: If Nifty falls to 22,000 repeatedly and bounces back, 22,000 becomes a support level. 🔹 Resistance Level: A price level where selling pressure overcomes buying, preventing prices from rising. It's like a ceiling—sellers dominate at this level. Example: If Bank Nifty rises to 50,000 but fails to move above, 50,000 is resistance. 📊 How to Identify Them: Historical price charts Trendlines Moving averages Fibonacci levels Volume analysis 📈 Use in Trading: Buy near support Sell near resistance Use breakout strategy when price breaches either level
NSE:HDFCBANKEducation
by SkyTradingZone
4