Trade on Process, Not Predictions.

Securities Research Academy trains beginners to read markets through research, data and discipline — not tips, guesswork or hype. Start from zero and build a system you can trust.

9+ yrs

Founder market experience

9

Structured courses

NISM

Aligned certifications

Aman Sir

9+ years of experience

Founder's

Built on process. Not on promises.

Every part of the curriculum is designed around one idea from the founder Aman Thuniya: consistency comes from systems, not emotion. Here's what that looks like in practice.

Discipline

Process

Consistency

Results

01
02
03
04

MENTORSHIP

Learn from real market experience

Curriculum shaped by a founder with 9+ years trading, researching and running a proprietary desk

STRUCTURE

A clear path, not a playlist

You move from fundamentals to derivatives to quant strategy in sequence — never dropped into advanced concepts on day one.

PRACTICE

Research & backtest before you risk

Every strategy is data-modelled and backtested in simulators before it's ever discussed as something you'd actually trade.

RECOGNITION

Certification that means something

Complete with NISM-aligned and SRA credentials — built for people who want proof of skill, not just attendance.

I'm completely new. Where do I start?

A research-first approach to markets — every method taught is one you can backtest yourself before you trust it.

01

Understand the basics

Stock market fundamentals, how to read financial statements, and the two core approaches to analysing any market.

02

Read the market with data

Technical analysis, chart patterns, trendlines and indicators — organised as directional data across weekly and monthly timeframes.

03

Understand derivatives & options

Futures, options and the Greeks — Delta, Theta, Vega, Gamma, Rho — and how they signal intraday and weekly trends.

04

Build quant & algorithmic skill

Backtest strategies, model probability, and get an introduction to algorithmic trading systems on real charting tools.

05

Trade in a live environment

A structured internship with live market exposure, performance review and certification & placement assistance.

Explore Courses

Find the course that matches where you're starting from

All courses are taught offline at our Jaipur campus, structured module by module — from an 4-week introduction to a 9-month diploma.

Advanced

6 Months

Proprietary Trading Course

Build, backtest, and trade strategies on historical price data using quantitative models, options Greeks, and a 3-month internship.

Options Greeks · Algo Trading · Live Internship

Advanced

6 Months

Diploma in Financial Market

Learn stock market basics, trading methods, investment evaluation, risk management, and financial planning.

Options Greeks · Algo Trading · Live Internship

Advanced

6 Months

Algorithmic trading

This Course makes traders learn how to accurately and efficiently trade on the basis of algorithmic trading by using statistical analysis, historical.

Options Greeks · Algo Trading · Live Internship

Advanced

6 Months

Data Driven Technical Analyst

This Course helps traders to make confident, well informed decisions, & data driven technical analysis which identifies price pattern, market trends.

Options Greeks · Algo Trading · Live Internship

Advanced

6 Months

Advanced Data & Quantitative Option

This course will help you learn about advanced quantitative trading. The modules provided in the institute helps you simplify the statistical models.

Options Greeks · Algo Trading · Live Internship

Advanced

6 Months

Research Analyst-Value Investing

Analyzing financial statements, going deep into valuation techniques such as trading comps and net book asset valuation, and doing ratio analysis.

Options Greeks · Algo Trading · Live Internship

What you'll learn

Six areas of knowledge, one connected skillset.

Market Fundamentals

How markets actually work, before any strategy talk.

Technical Analysis

Chart patterns, indicators and trendlines, read as data.

Options & Derivatives

Futures, options and the Greeks that drive their pricing.

Algorithmic & Quant Trading

Backtesting, automation and Python-driven strategy design.

Risk Management

Position sizing and discipline, not just entries.

Valuation & Statement Analysis

Read income statements, book value and ratio analysis.

Practical, Not Theoretical

You won't just be told how a strategy works.You'll build, backrest and review it.

Every strategy taught at SRA is put through the same cycle before it's ever discussed as tradeable — this is what that cycle looks like on the desk.

Model the setup against historical price and volatility data

Backtest it in a simulator across multiple timeframes

Review win rate, drawdown and risk-adjusted return

Only then discuss live execution and position sizing