


Risk Management in Option Trading Even with data, risk control is key: Max 2% capital risk per trade. Hedge with opposite option. Avoid low liquidity options. Always track IV, PCR, OI live. Building a Custom Option Scanner With databases and logic, you can create a personal scanner for: High IV options OI breakout zones PCR + Max Pain alert Theta-rich...
Advanced traders use machine learning to forecast: Option price movement Volatility changes IV spikes before events Popular Models: Random Forest → Trend direction. LSTM (Deep Learning) → Predict future IV. Logistic Regression → Probability of ITM expiry. These are trained on millions of past trades using structured databases.
Deep 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...
Database 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...
How 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...
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...
Introduction 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,...
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...
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...
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...
What 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...
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...
Option 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...
Institutional 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...
Time Decay (Theta) Strategies Options lose value over time due to Theta Decay. Strategies to Take Advantage of Theta: Selling options (Covered Calls, Naked Puts) Calendar Spreads Iron Butterflies Caution: Theta decay accelerates as expiry nears. Option sellers must hedge their deltas to stay safe. Risk Management in Options Institutions and pro traders...
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 –...
Institutional 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...
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...