Option Trading How Institutions Operate:
Use Option Greeks (Delta, Gamma, Theta, Vega) for precise positioning
Follow OI (Open Interest) data for liquidity zones
Monitor FIIs/DII data from NSE reports
Combine options with futures arbitrage or cash segment hedging
🔹 Tools Used by Institutions:
Bloomberg Terminal
Custom-built Quant Models
NSE Option Chain + IV Analysis
Algo-driven trading based on volatility signals
Chart Patterns
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.
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)
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
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
Advanced Institutions Option Trading - Part 10Option Pricing Models
Institutions rely on theoretical models to value options precisely.
Models Used:
Black-Scholes Model: Most common for European Options
Binomial Model: For American options
Monte Carlo Simulations: For complex path-dependent options
Bachelier Model: For negative rate scenarios
These models help forecast fair value, hedge ratios, and profit probabilities.
🔹 17. Algorithmic and Quant Option Trading
Institutional desks often use automation for efficiency.
Tools & Techniques:
Python, R, C++ for strategy coding
Machine Learning for volatility prediction
Option Flow Analysis (Unusual Orders)
Real-time Gamma Exposure Mapping
Quant desks track Volga, Vanna, Charm, and other second-order Greeks for precise hedging.
Advanced Institutions Option Trading - Part 8Institutional Option Trading Strategies
Let’s dive deeper into how big players operate:
🔶 Volatility Arbitrage:
Take advantage of IV mispricing across strikes/months.
Long low IV, short high IV – Net neutral delta.
🔶 Dispersion Trading:
Buy individual stock options, short index options.
Profit from correlation divergence.
🔶 Box Spread (Synthetic Arbitrage):
Arbitrage between synthetic long/short positions.
Very low risk, used by HFT desks.
Institutions use algorithms to run thousands of such strategies in real time.
Advanced Institutions Option Trading - Part 6 Volatility Tools in Options
Understanding volatility is central to success in option trading:
🌀 Types of Volatility:
Historical Volatility (HV): Based on past prices
Implied Volatility (IV): Market’s expectation of future movement
📊 Volatility-Based Strategies:
High IV: Sell premium – strategies like Iron Condor, Credit Spreads
Low IV: Buy premium – strategies like Long Straddle, Long Call/Put
Tools like IV Rank and IV Percentile help traders choose the right strategy based on volatility regime.
Advanced Institutions Option Trading - Part 5Institutional Tools & Platforms
Bloomberg Terminal / Reuters Eikon: Institutional-grade data
FIX Protocols: For high-frequency option order routing
Quant Models: Statistical arbitrage using Python/R
Option Analytics Engines: Measure IV Skew, Smile, Surface modeling
Institutions don’t just trade options—they engineer risk-managed portfolios using AI and predictive analytics.
Option Chain Analysis for Traders
Option Chain provides a list of all available option contracts for a stock/index.
Key Elements:
Strike Prices
Call & Put Prices
Open Interest (OI)
Volume
Implied Volatility (IV)
Change in OI
Interpretation:
High OI + Rising Price = Strong Trend
IV Surge = High Volatility Expectation
PCR (Put-Call Ratio) = Market Sentiment Indicator
PCR > 1: Bearish sentiment
PCR < 1: Bullish sentiment
Advanced Institutions Option Trading - Part 4 Technical and Fundamental Analysis in Option Trading
Fundamental Analysis: Evaluate company value, earnings, sector performance
Technical Analysis: Price action, patterns, indicators like RSI, MACD
IV & HV Tools: Helps in choosing optimal strike prices based on volatility
Understanding market structure is essential for timing entries/exits in options.
Advanced Institutional Options Trading
Institutions like hedge funds, banks, and proprietary desks use options for complex strategies:
Delta Hedging: Maintain a neutral position
Portfolio Insurance: Using puts during economic downturns
Volatility Arbitrage: Capitalizing on volatility mispricing
Structured Products: Combine options with bonds or equities for customized payoff
These strategies require deep understanding of volatility surfaces, risk models, and massive capital.
Advanced Institutions Option Trading - Part 3Why Trade Options?
Hedging against portfolio loss
Leverage with limited capital
Income generation through strategies like covered calls
Directional trading using strategies like long calls or puts
Investment Strategy using Options
LEAPS (Long-Term Equity Anticipation Securities): Investing in long-term call options
Covered Calls: Generate income while holding stocks
Cash-Secured Puts: Earn premium while waiting to buy a stock at lower price
These are often used by investors to add flexibility and income to portfolios.
Advanced Institutions Option TradingFinancial Market is a marketplace where assets such as stocks, bonds, commodities, and derivatives (like options) are bought and sold.
Key components:
Equity Markets – Shares of companies
Debt Markets – Government or corporate bonds
Derivatives Market – Futures, Options
Currency and Commodity Markets
Options are financial contracts giving the buyer the right (not obligation) to buy/sell an asset at a set price before a specific date.
✅ Types of Options:
Call Option: Right to Buy
Put Option: Right to Sell
✅ Key Terminologies:
Strike Price: Agreed price to buy/sell
Premium: Cost of the option
Expiration Date: Validity of the contract
ITM/ATM/OTM: In-the-money / At-the-money / Out-of-the-money
Nifty & Bank Nifty View For 18 June 2025 **Bank Nifty**:
1. **Bank Nifty** is a sectoral index on the **National Stock Exchange (NSE)** of India.
2. It represents the performance of the **12 most liquid and large capitalized banking stocks**.
3. The index includes both **public and private sector banks**.
4. Bank Nifty was launched in **September 2003**.
5. It is used to measure the **performance of the banking sector** in the stock market.
6. The index is **market-cap weighted and free-float adjusted**.
7. It helps traders and investors to track **banking sector trends**.
8. Bank Nifty is widely used for **derivatives trading (futures and options)**.
9. It is **reviewed semi-annually** to ensure relevance and liquidity.
10. The index is a key indicator of the **health of the Indian financial system**.
**Nifty**:
1. **Nifty**, or **Nifty 50**, is a benchmark stock market index in India.
2. It represents the weighted average of **50 of the largest** and most liquid Indian companies.
3. The index is managed and owned by the **National Stock Exchange (NSE)**.
4. It was introduced in **1996** with a base value of 1000.
5. Nifty covers **13 sectors** of the Indian economy, including IT, finance, and energy.
6. Companies in Nifty are selected based on **free-float market capitalization**.
7. It serves as a **barometer of the Indian equity market’s performance**.
8. Nifty is reviewed and rebalanced **semi-annually**.
9. It is widely used by **investors, mutual funds, and analysts**.
10. Nifty's performance impacts **investment decisions and economic outlook** in India.
Bank Nifty View for 17 June 2025 **Bank Nifty**:
1. **Bank Nifty** is a sectoral index on the **National Stock Exchange (NSE)** of India.
2. It represents the performance of the **12 most liquid and large capitalized banking stocks**.
3. The index includes both **public and private sector banks**.
4. Bank Nifty was launched in **September 2003**.
5. It is used to measure the **performance of the banking sector** in the stock market.
6. The index is **market-cap weighted and free-float adjusted**.
7. It helps traders and investors to track **banking sector trends**.
8. Bank Nifty is widely used for **derivatives trading (futures and options)**.
9. It is **reviewed semi-annually** to ensure relevance and liquidity.
10. The index is a key indicator of the **health of the Indian financial system**.
Nifty View For 17 June 2025 **Nifty**:
1. **Nifty**, or **Nifty 50**, is a benchmark stock market index in India.
2. It represents the weighted average of **50 of the largest** and most liquid Indian companies.
3. The index is managed and owned by the **National Stock Exchange (NSE)**.
4. It was introduced in **1996** with a base value of 1000.
5. Nifty covers **13 sectors** of the Indian economy, including IT, finance, and energy.
6. Companies in Nifty are selected based on **free-float market capitalization**.
7. It serves as a **barometer of the Indian equity market’s performance**.
8. Nifty is reviewed and rebalanced **semi-annually**.
9. It is widely used by **investors, mutual funds, and analysts**.
10. Nifty's performance impacts **investment decisions and economic outlook** in India.
Advanced Put Call Ratio (PCR)Slide 1: Introduction to Advanced Put Call Ratio (PCR)
The Put Call Ratio (PCR) is a widely used sentiment indicator in options trading. It measures the volume or open interest of put options relative to call options. Advanced analysis of PCR helps traders gauge market sentiment—whether fear or greed is dominant—and anticipate potential reversals or continuations.
Slide 2: Basic Formula and Types
PCR Formula:
Volume-based PCR = Total Put Volume / Total Call Volume
Open Interest-based PCR = Total Put OI / Total Call OI
Interpretation:
PCR > 1: Bearish sentiment (more puts)
PCR < 1: Bullish sentiment (more calls)
Key Types:
Index PCR – NIFTY, BANKNIFTY PCR
Stock PCR – For individual stocks
Slide 3: Advanced Interpretation of PCR
1. Contrarian Indicator:
Very high PCR (e.g., >1.5): Indicates excess fear, potential reversal upward
Very low PCR (e.g., <0.6): Indicates extreme optimism, potential market correction
2. Trend Confirmation:
Stable rising PCR in uptrend = Confirmed strength
Falling PCR in downtrend = Confirmed weakness
3. Divergence Signal:
If prices rise but PCR also rises → underlying caution (hidden bearishness)
If prices fall but PCR drops → lack of fear (hidden bullishness)
Slide 4: Using PCR with Other Tools
Combine PCR with:
Volume & OI Data – To confirm trader positions
Implied Volatility (IV) – High PCR + high IV = fear-based overreaction
Support/Resistance Levels – Look for breakout confirmations
Technical Indicators – RSI, MACD, VWAP with PCR for enhanced edge
Option Trading Master class Part -6What is Option Trading?
Definition:
Options are derivative contracts that give the holder the right, but not the obligation, to buy or sell an asset at a pre-decided price within a specific timeframe.
Types of Options:
Call Option: Right to buy
Put Option: Right to sell
Option Participants:
Buyers (Holders): Limited risk, unlimited reward
Sellers (Writers): Limited reward, unlimited risk
How Options Work (With Example)
Imagine Reliance stock is trading at ₹2,500.
Call Buyer: Buys a ₹2,500 Call Option by paying ₹50 premium
Scenario A (Stock goes to ₹2,600):
Intrinsic value = ₹100
Profit = ₹100 – ₹50 = ₹50 per share
Scenario B (Stock goes to ₹2,400):
Option expires worthless
Loss = ₹50 (premium paid)
Bank Nifty View for 16-06-2025 **Bank Nifty**:
1. **Bank Nifty** is a sectoral index on the **National Stock Exchange (NSE)** of India.
2. It represents the performance of the **12 most liquid and large capitalized banking stocks**.
3. The index includes both **public and private sector banks**.
4. Bank Nifty was launched in **September 2003**.
5. It is used to measure the **performance of the banking sector** in the stock market.
6. The index is **market-cap weighted and free-float adjusted**.
7. It helps traders and investors to track **banking sector trends**.
8. Bank Nifty is widely used for **derivatives trading (futures and options)**.
9. It is **reviewed semi-annually** to ensure relevance and liquidity.
10. The index is a key indicator of the **health of the Indian financial system**.