Advanced — Algorithmic trading on Options Course
Learn quantitative options trading, algo strategy development, backtesting, execution algorithms, and broker API integration for automated trading.
Duration: 5 Weeks
Mode: Offline, Jaipur
Fee: ₹19,999
Certification: Algorithmic Trader Certification
Taught by a founder who runs a live proprietary desk with Jainam Broking Ltd.
Interested in Algorithmic Trading on Options?
Who It's For
Is This Course Right for You?
Four starting points — this course is built to take any of them further.
By the End
What You'll Be Able to Do
Skills you'll walk away with — tested against real data, not theory alone.
Understand the key differences between manual and algorithmic options trading
Build a structured workflow for market research, strategy development, backtesting, and execution
Analyze Option Greeks and understand their impact on option premiums and strategy performance
Develop intraday algorithmic strategies using market range and historical data
Backtest strategies across different timeframes and evaluate their performance
Design mathematical execution algorithms including re-entry, re-execution, wait-and-hold, and idle-leg logic
Understand live deployment, entry/exit rules, execution delays, and LTP vs. candle-close execution
Integrate broker APIs and understand order flow, execution bridges, and order types including regular and stop-loss orders



The Path
Curriculum Breakdown
9 focused modules, each covering key concepts and practical learning.
Module 1
Algorithmic Trading vs Manual Trading
- Difference between Algorithmic and manual trading
- Core Steps – Research, Backtest and Execution
- Identifying right data for analysis and backtesting
Module 2
Option Greeks
- Greeks – Delta, Gamma, Theta, Vega & Rho
- Theta and Premium curve
Module 3
Creating Algo Strategy for Intra-day
- Day-wise market range
- Shortlisting the strategy based on intra-day range of the market
- Backtesting on different time-frames
Module 4
Mathematical Executionary Algorithms
- Re-entry
- Re-execution
- Wait and hold
- Idle leg
Module 5
Brainstorming Session
- Ideation on different mathematical executionary algorithms
- Creating algorithms for the strategies
Module 6
Execution
- Points to remember while deploying the strategy on LIVE
- Determination of entry & exit level, delay in entries and executing algos based on LTP or candle close
Module 7
API Integration with Broker
- What is API?
- Market data API and Interactive API
- Integrating the API with Algorithmic trading platform
Module 8
Bridges Involved in Executing Algos
- Order flow for executing algo
Module 9
Order Type for Different Algos
- Regular order
- Stop loss order

Why Learn This at SRA
Taught by Someone Who Trades This Way, Not Just Teaches It
- Founder Aman Thuniya: 9+ years trading experience, specialized in intra-day expiry & algo trading, runs a live proprietary desk with Jainam Broking Ltd.
- Every algorithm and strategy taught is backtested on real historical data before live application
- Tools used: TradingView, algo-backtesting software, live simulation environment
- Fast, focused format — built for traders who already understand the markets and want to specialize
Consistency in trading comes from systems, not emotions.
— Aman Thuniya, Founder, SRA

Validate Your Skills
A Certificate That Holds Weight
- On completion, receive the Algorithmic Trader Certification from SRA
- Recognized credential for traders and finance professionals — add to resume & LinkedIn
Enroll
Fee & Batch Details
Duration
5 Weeks
Mode
Offline, Jaipur
Includes
5-Weeks Internship
Fee
₹19,999
Next Batch
Next batch starts soon
Fee shared on request — get exact figures and current batch dates.
Our Learners
Trained on campus, in Jaipur.
A look at the SRA classroom — students working through live sessions, doubt-clearing and strategy walkthroughs.

