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Introduction to Options Trading Basic

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About Course

Help learners understand the core structure of options and why they’re used in the market.

Course Content

What is an Option?
Key Concepts: • What is a derivative? • Call option vs Put option (definitions and examples) • Buyer vs Seller: rights & obligations • Strike Price, Expiry, Lot Size

  • What is an Option?

Understanding Market Participants
Learning Outcome: By the end of this module, learners will be able to: • Identify and differentiate between the strategies of FIIs, DIIs, Retail, and PRO (Proprietary Traders). • Analyze participant-wise trading data from NSE. • Use this data to predict potential market direction and spot traps

Mastering Open Interest (OI)
Learners will be able to: • Understand what Open Interest means and how it moves. • Use OI data to find key market levels. • Interpret market sentiment shifts and apply it in real-time trading.

OI + Price Action = Strong Signals
Learning Outcome: By the end of this module, learners will: • Combine OI shifts with candlestick behavior to confirm trends. • Identify real support/resistance from option writers. • Spot reversal signals using OI traps and price rejection. • Build confidence in executing trades using these data points.

Price Action + OI + Volume
Learning Outcome: By the end of this module, learners will confidently combine price action, open interest, and volume to: • Identify breakout/breakdown zones • Filter false signals • Build reliable directional trades

Global Market Impact & News Analysis
Learning Outcome: By the end of this module, learners will be able to: • Interpret global indices, commodities, and currency movement. • Use macroeconomic data releases (like CPI, RBI, Jobs Report) for trade planning. • Anticipate market reactions to major events like Budget, Fed meetings, elections.

FII/DII Activity-Based Trading
Learning Outcome: By the end of this module, learners will be able to: • Access and interpret FII/DII data from NSE and other sources. • Combine cash market and derivative data for directional bias. • Use participant-wise OI data to confirm trend strength. • Build and use a basic Excel/Google Sheet tracker for daily analysis.

Sentiment & Intraday/Positional Setup
Learning Outcome: By the end of this module, learners will: • Decode retail and institutional sentiment • Identify where retailers are trapped via option chain and volume • Use sentiment + data to set up Intraday, BTST, and Swing trades

Building a Trading System
Learning Outcome: By the end of this module, learners will: • Execute a consistent intraday system using OI, volume, and VIX • Set up options selling strategies with proper risk controls • Understand when and how to use neutral strategies like straddles/strangles • Manage risk through effective SL, position sizing, and portfolio exposure

Tools, Platforms & Automation
By the end of this module, learners will: • Navigate key tools and platforms like NSE, Sensibull, Opstra, and TradingView • Build their own daily OI & sentiment dashboard • Understand Option Greeks at a basic level (Delta, Theta, Vega, Gamma) • Use automation to reduce errors and improve trade readiness

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