Building a Foundation for Financial Literacy.
We offer a stimulating learning environment by combining theoretical understanding with real-world applications.
Pioneering the Future of Stock Market Education
Securities Research Academy strives to be more than an educational institution whose primary focus is practical learning. At SRA, our goal in one line is very straightforward: arming students with all the equipment, abilities, and techniques they will need to stand a chance, and this is done through fundamental, quants, data, and technical analysis plus information on the world economy for the students.
Our rigorous syllabus encompasses a range of topics, including algorithmic trading, finance statement analysis, and valuation training to back-test trading setup, trade strategies, and macroeconomics analytical skills. Our comprehensive courses are designed to include practical experience, expert guidance, and the latest technology so that the students equipped with such relevant knowledge and strategies can compete skillfully in modern markets. At SRA we train students to make the guesswork in investment-making, designing winning trading plans, and operating on financial markets without fear.
Learner's Benefit at SRA
At Securities Research Academy we emphasize the importance of practical dealings. Our students have the experience of simulations, strategy building, back-testing, and live trading scenarios to enhance their practical learning.
One-to-One Doubt Sessions
Global Investment Insights
Interactive Learning Environment
Executive Partner of SRA
Algo Test
Join lifetime Algo Test support and the Algo Traders community.
Ethics and Compliance in Finance
Hands - On Experience
Professional Growth
Decoding Trading Techniques
All our curriculum have been developed with realistic relevance in the market, Dynamic Data Analysis, Strategy Testing and Strategy Forecasting, and Policy Forecasting. Thus this means you will be provided with the most recent and relevant knowledge and skills.
Proprietary Trading Course
Duration: 6 Months
Learn to create, backtest, and trade your strategies based on historical price data, price chart analysis, advanced trading mechanisms, and quantitative models. Backtest and simulate intraday trades and positional trades with industry-leading backing tools.
- Research Technique – 2 methods to analyse the any financial market
- Basic Knowledge of excel – Data Modelling
- Statistics of Index based on historical price
- Organisation of Directional data – Monthly Timeframe
- Organisation of Directional data – Weekly Timeframe
- Sector wise data – Month-wise
- Techincal Analysis – All types of Reversal Pattern
- Trendlines and its pattern
- Patterns breakout
- Mathematics of indicators – RSI, Supertrend & Moving Average
- Derivatives Market – Future Market & Option Market
- Basic understanding of Option Market – Call & Put
- Basic Knowledge of excel – Data Modelling
- Directional Quants – Month wise
- Directional Quants – Week wise
- Directional Quants – Day wise
- Quantitative Strategy – Using Covered Call & Protective Put
- Backtesting the strategy using Simulator
- Option Greeks – Delta, Theta, Vega, Gamma & Rho
- Benefit of Delta, Theta and Vega – how to use Ichart website to identify advanced data
- Vega Trading on Index & Stocks
- Quantitative Strategy – Using Straddle & Strangle
- Backtesting the strategy using Simulator
- Directional Strategy – Debit & Credit Spread
- Non- directional Quants – Monthly & Weekly
- Non-directional Strategy – Trending & Range bound
- Analysing combined straddle and strangle chart
- Importance of greeks in identifying intra-day and weekly trends
- Option Greeks – Delta, Theta, Vega, Gamma & Rho
- Importance of greeks in identifying trends
- Quants data – daywise
- Market Movement Probability – Trending and Consolidation
- Premium Curve based on 0 DTE (Expiry), 1 DTE, 2 DTE & 3 DTE
- Introduction of Algorithmic trading (HFT, MFT & LFT)
- Authenticity of backtesting on Algo-softwares
- Quant strategies based on Time Straddle & Strangle
- Algorithm of RE Cost and its applicability on quantitative strategies
- Algorithm of RE ASAP and its applicability on quantitative strategies
- Algorithm of RE Momentum and its applicability on quantitative strategies
- Lazy leg and its applicability on quantitative strategies
- Variations in lazy leg
- Algorithm on Combined Premium of CE & PE
- Algorithmic trading based on Price chart and indicators (Using trading view)
- Algorithmic trading on Proprietary account & DEMAT account
- Live Market Exposure
- Data-Driven Decision Making
- Algorithmic Trading Exposure
- Technical & Fundamental Analysis
- Backtesting & Strategy Optimization
- Risk Management Training
- Performance Review & Feedback
- Certification & Placement Assistance
Diploma in Financial Market Course
Duration: 9 Months
This course is aimed at giving you a solid introduction in stock market, trading methods, investment evaluation, and risk management. It offers practical experience to guide you through the realm of finance with a 3 – months internship program, and expertise development in the financial sector.
- Basic Knowledge of excel
- Authentic source of data
- Calculating Market Capitalisation
- Preparing of Income Statement & Cashflow Statement
- Cleansing of Income Statement
- Analysis of Financial Statements
- Trading Comps Valuation
- DuPont Analysis – Ratio analysis
- Liquid Asset Value – (LAV)
- Net Asset Value – (NAV)
- Sectoral Research – Tyre Sector
- Fiscal Policy of India
- Pair-Trading on index – Based on beta
- Research Technique – 2 methods to analyse the any financial market
- Basic Knowledge of excel – Data Modelling
- Statistics of Index based on historical price
- Organisation of Directional data – Monthly Timeframe
- Organisation of Directional data – Weekly Timeframe
- Sector wise data – Month-wise
- Techincal Analysis – All types of Reversal Pattern
- Trendlines and its pattern
- Patterns breakout
- Mathematics of indicators – RSI, Supertrend & Moving Average
- Derivatives Market – Future Market & Option Market
- Basic understanding of Option Market – Call & Put
- Basic Knowledge of excel – Data Modelling
- Directional Quants – Month wise
- Directional Quants – Week wise
- Directional Quants – Day wise
- Quantitative Strategy – Using Covered Call & Protective Put
- Backtesting the strategy using Simulator
- Option Greeks – Delta, Theta, Vega, Gamma & Rho
- Benefit of Delta, Theta and Vega – how to use Ichart website to identify advanced data
- Vega Trading on Index & Stocks
- Quantitative Strategy – Using Straddle & Strangle
- Directional Strategy – Debit & Credit Spread
- Non- directional Quants – Monthly & Weekly
- Non-directional Strategy – Trending & Range bound
- Analysing combined straddle and strangle chart
- Importance of greeks in identifying intra-day and weekly trends
- Option Greeks – Delta, Theta, Vega, Gamma & Rho
- Importance of greeks in identifying trends
- Quants data – daywise
- Market Movement Probability – Trending and Consolidation
- Premium Curve based on 0 DTE (Expiry), 1 DTE, 2 DTE & 3 DTE
- Introduction of Algorithmic trading (HFT, MFT & LFT)
- Authenticity of backtesting on Algo-softwares
- Quant strategies based on Time Straddle & Strangle
- Algorithm of RE Cost and its applicability on quantitative strategies
- Algorithm of RE ASAP and its applicability on quantitative strategies
- Algorithm of RE Momentum and its applicability on quantitative strategies
- Lazy leg and its applicability on quantitative strategies
- Variations in lazy leg
- Algorithm on Combined Premium of CE & PE
- Algorithmic trading based on Price chart and indicators (Using trading view)
- Algorithmic trading on Proprietary account & DEMAT account
Value Investing Modules
Analyzing financial statements, going deep into valuation techniques such as trading comps and net book asset valuation, and doing ratio analysis to determine fundamentally strong companies. Learn how to analyze government fiscal policies and align your investment strategies with macroeconomic trends and political shifts.
Proprietary Trading Modules
Learn to create, backtest, and trade your strategies based on historical price data, price chart analysis, advanced trading mechanisms, and quantitative models. Backtest and simulate intraday trades and positional trades with industry-leading backing tools.
Proprietary Trading Course
Duration: 6 Months
Learn to create, backtest, and trade your strategies based on historical price data, price chart analysis, advanced trading mechanisms, and quantitative models. Backtest and simulate intraday trades and positional trades with industry-leading backing tools.
- Research Technique – 2 methods to analyse the any financial market
- Basic Knowledge of excel – Data Modelling
- Statistics of Index based on historical price
- Organisation of Directional data – Monthly Timeframe
- Organisation of Directional data – Weekly Timeframe
- Sector wise data – Month-wise
- Techincal Analysis – All types of Reversal Pattern
- Trendlines and its pattern
- Patterns breakout
- Mathematics of indicators – RSI, Supertrend & Moving Average
- Derivatives Market – Future Market & Option Market
- Basic understanding of Option Market – Call & Put
- Basic Knowledge of excel – Data Modelling
- Directional Quants – Month wise
- Directional Quants – Week wise
- Directional Quants – Day wise
- Quantitative Strategy – Using Covered Call & Protective Put
- Backtesting the strategy using Simulator
- Option Greeks – Delta, Theta, Vega, Gamma & Rho
- Benefit of Delta, Theta and Vega – how to use Ichart website to identify advanced data
- Vega Trading on Index & Stocks
- Quantitative Strategy – Using Straddle & Strangle
- Backtesting the strategy using Simulator
- Directional Strategy – Debit & Credit Spread
- Non- directional Quants – Monthly & Weekly
- Non-directional Strategy – Trending & Range bound
- Analysing combined straddle and strangle chart
- Importance of greeks in identifying intra-day and weekly trends
- Option Greeks – Delta, Theta, Vega, Gamma & Rho
- Importance of greeks in identifying trends
- Quants data – daywise
- Market Movement Probability – Trending and Consolidation
- Premium Curve based on 0 DTE (Expiry), 1 DTE, 2 DTE & 3 DTE
- Introduction of Algorithmic trading (HFT, MFT & LFT)
- Authenticity of backtesting on Algo-softwares
- Quant strategies based on Time Straddle & Strangle
- Algorithm of RE Cost and its applicability on quantitative strategies
- Algorithm of RE ASAP and its applicability on quantitative strategies
- Algorithm of RE Momentum and its applicability on quantitative strategies
- Lazy leg and its applicability on quantitative strategies
- Variations in lazy leg
- Algorithm on Combined Premium of CE & PE
- Algorithmic trading based on Price chart and indicators (Using trading view)
- Algorithmic trading on Proprietary account & DEMAT account
- Live Market Exposure
- Data-Driven Decision Making
- Algorithmic Trading Exposure
- Technical & Fundamental Analysis
- Backtesting & Strategy Optimization
- Risk Management Training
- Performance Review & Feedback
- Certification & Placement Assistance
Diploma in Financial Market Course
Duration: 9 Months
This course is aimed at giving you a solid introduction in stock market, trading methods, investment evaluation, and risk management. It offers practical experience to guide you through the realm of finance with a 3 – months internship program, and expertise development in the financial sector.
- Basic Knowledge of excel
- Authentic source of data
- Calculating Market Capitalisation
- Preparing of Income Statement & Cashflow Statement
- Cleansing of Income Statement
- Analysis of Financial Statements
- Trading Comps Valuation
- DuPont Analysis – Ratio analysis
- Liquid Asset Value – (LAV)
- Net Asset Value – (NAV)
- Sectoral Research – Tyre Sector
- Fiscal Policy of India
- Pair-Trading on index – Based on beta
- Research Technique – 2 methods to analyse the any financial market
- Basic Knowledge of excel – Data Modelling
- Statistics of Index based on historical price
- Organisation of Directional data – Monthly Timeframe
- Organisation of Directional data – Weekly Timeframe
- Sector wise data – Month-wise
- Techincal Analysis – All types of Reversal Pattern
- Trendlines and its pattern
- Patterns breakout
- Mathematics of indicators – RSI, Supertrend & Moving Average
- Derivatives Market – Future Market & Option Market
- Basic understanding of Option Market – Call & Put
- Basic Knowledge of excel – Data Modelling
- Directional Quants – Month wise
- Directional Quants – Week wise
- Directional Quants – Day wise
- Quantitative Strategy – Using Covered Call & Protective Put
- Backtesting the strategy using Simulator
- Option Greeks – Delta, Theta, Vega, Gamma & Rho
- Benefit of Delta, Theta and Vega – how to use Ichart website to identify advanced data
- Vega Trading on Index & Stocks
- Quantitative Strategy – Using Straddle & Strangle
- Directional Strategy – Debit & Credit Spread
- Non- directional Quants – Monthly & Weekly
- Non-directional Strategy – Trending & Range bound
- Analysing combined straddle and strangle chart
- Importance of greeks in identifying intra-day and weekly trends
- Option Greeks – Delta, Theta, Vega, Gamma & Rho
- Importance of greeks in identifying trends
- Quants data – daywise
- Market Movement Probability – Trending and Consolidation
- Premium Curve based on 0 DTE (Expiry), 1 DTE, 2 DTE & 3 DTE
- Introduction of Algorithmic trading (HFT, MFT & LFT)
- Authenticity of backtesting on Algo-softwares
- Quant strategies based on Time Straddle & Strangle
- Algorithm of RE Cost and its applicability on quantitative strategies
- Algorithm of RE ASAP and its applicability on quantitative strategies
- Algorithm of RE Momentum and its applicability on quantitative strategies
- Lazy leg and its applicability on quantitative strategies
- Variations in lazy leg
- Algorithm on Combined Premium of CE & PE
- Algorithmic trading based on Price chart and indicators (Using trading view)
- Algorithmic trading on Proprietary account & DEMAT account
Algorithmic trading Course
Duration: 8 Weeks
This Course makes traders learn how to accurately and efficiently trade on the basis of algorithmic trading by using statistical analysis, historical data, and quantitative models. This Course helps traders to make data-driven choices by removing emotional bias, optimizing entry and exit points and identifying market patterns.
- Option Greeks – Delta, Theta, Vega, Gamma & Rho
- Importance of greeks in identifying trends
- Quants data – daywise
- Market Movement Probability – Trending and Consolidation
- Premium Curve based on 0 DTE (Expiry), 1 DTE, 2 DTE & 3 DTE
- Introduction of Algorithmic trading (HFT, MFT & LFT)
- Authenticity of backtesting on Algo-softwares
- Quant strategies based on Time Straddle & Strangle
- Algorithm of RE Cost and its applicability on quantitative strategies
- Algorithm of RE ASAP and its applicability on quantitative strategies
- Algorithm of RE Momentum and its applicability on quantitative strategies
- Lazy leg and its applicability on quantitative strategies
- Variations in lazy leg
- Algorithm on Combined Premium of CE & PE
- Algorithmic trading based on Price chart and indicators (Using trading view)
- Algorithmic trading on Proprietary account & DEMAT account
Data Driven Technical Analyst Course
Duration: 4 Weeks
This Course helps traders to make confident, well informed decisions, & data driven technical analysis which identifies price pattern, market trends, and important indicators. With the help of this you can improve your trading strategy, reduce risk, and increase returns by strengthening on actual data interpretation. .
- Research Technique – 2 methods to analyse the any financial market
- Basic Knowledge of excel – Data Modelling
- Statistics of Index based on historical price
- Organisation of Directional data – Monthly Timeframe
- Organisation of Directional data – Weekly Timeframe
- Sector wise data – Month-wise
- Techincal Analysis – All types of Reversal Pattern
- Trendlines and its pattern
- Patterns breakout
- Mathematics of indicators – RSI, Supertrend & Moving Average
Research Analyst-Value Investing Course
Duration: 12 Weeks
Analyzing financial statements, going deep into valuation techniques such as trading comps and net book asset valuation, and doing ratio analysis to determine fundamentally strong companies. Learn how to analyze government fiscal policies and align your investment strategies with macroeconomic trends and political shifts.
- Basic Knowledge of excel
- Authentic source of data
- Calculating Market Capitalisation
- Preparing of Income Statement & Cashflow Statement
- Cleansing of Income Statement
- Analysis of Financial Statements
- Trading Comps Valuation
- DuPont Analysis – Ratio analysis
- Liquid Asset Value – (LAV)
- Net Asset Value – (NAV)
- Sectoral Research – Tyre Sector
- Fiscal Policy of India
- Pair-Trading on index – Based on beta
Smart Money Concept Course
Duration: 6 Weeks
SMC is a price action strategy that is centered on the knowledge of how institutional traders banks, hedge funds, and market makers drive the market. SMC breaks away from typical strategies, moving beyond what retail traders do and exploring liquidity zones, market structure changes, and order flow dynamics.
- Big Players Concepts
- Candlestick chart reading
- Dow theory
- Strategy 1 & Strategy 2
- Complex Strategy
- Trading Patterns
- Introduction to Order Block
- How to trade Order Block
- False Breakout/Breakdown trading
- VCP Concepts
- Risk Management
- Crypto / FOREX trading
- Rules and Journal
Advanced Data & Quantitative Option Strategy Course
Duration: 6 Weeks
This course will help you learn about advanced quantitative trading. The modules provided in the institute helps you simplify the statistical models, volatitlity analysis, advanced quantitative trading to guide you for finding high-probability trades. You can learn how to master strategies like delta-neutral hedging, volatility arbitrage, and spreads while managing risks effectively.
- Derivatives Market – Future Market & Option Market
- Basic understanding of Option Market – Call & Put
- Basic Knowledge of excel – Data Modelling
- Directional Quants – Month wise
- Directional Quants – Week wise
- Directional Quants – Day wise
- Quantitative Strategy – Using Covered Call & Protective Put
- Backtesting the strategy using Simulator
- Option Greeks – Delta, Theta, Vega, Gamma & Rho
- Benefit of Delta, Theta and Vega – how to use Ichart website to identify advanced data
- Vega Trading on Index & Stocks
- Quantitative Strategy – Using Straddle & Strangle
- Directional Strategy – Debit & Credit Spread
- Non- directional Quants – Monthly & Weekly
- Non-directional Strategy – Trending & Range bound
- Analysing combined straddle and strangle chart
- Importance of greeks in identifying intra-day and weekly trends
Python Algo Trading: ML, AI & Quant Strategies Course
Duration: 12 Weeks
Master algorithmic trading using Python, artificial intelligence-based strategies, and quantitative finance. Learn to design, test, and implement automated trading systems that scan market data, recognize patterns, and place trades with accuracy. It combines coding, financial markets, and AI use cases, which will prepare you to trade better and stay ahead of all.
- Python Fundamentals
- Advanced Python & Programming Concepts
- Data Analysis & Visualization
- Financial Markets & Trading Basics
- Algorithmic Trading Concepts
- Machine Learning for Trading
- End-to-End Projects & Case Studies
- Deployment & Production Considerations
- Practical Applications & Industry Insights
Your Certification of Expertise In The Financial World
Your certifications showcase your expertise, build your credibility, and set you apart in the competitive world of investing and trading. Whether stepping into the industry or leveling up your skills, this badge is your gateway to greater opportunities and recognition.
NISM Certifications:
- Sebi Investor Certification.
- Currency Derivative Certification.
- Equity Derivatives Certification
- Investor Advisor Certification
- Common Derivative Certification.
- Research Analyst Certification.
- Commodity Derivative Certification.
Unleashing Your Trading Potential With SRA?
Expert Guidance with Proven Results
Skill Development for Today’s Job Market
Opportunities for Internships and Real-World Experience
Diverse Learning Opportunities
Innovative Approaches to Learning
Continuous Support from Dedicated Mentors
Holistic Development
Access to Industry Leaders and Experts
Collaborative Environment for Enhanced Learning
Validate Your Skills – SRA
Candidates receive a certificate in Financial Modeling and Valuations from the Securities Research Academy after completing the SRA training courses. Numerous corporate and financial institutions recognize the institution’s certification as a highly esteemed credential in the finance industry. A sample certificate is included for your reference.
Chart Your Path to Trading Success With Our Trusted Mentors
Hello! My name is Aman Thuniya, and I have been trading in financial markets for 10+ years. I am an algo-trader (specialized in intra-day expiry trading), Pair index hedger (Indexes pair trading), Blue-chip stock trader based on quant data and Option strategist. I also run a proprietary desk associated with Jainam Broking Ltd.
We have established a coaching institute to share our knowledge and experience with aspiring traders. This initiative is not just about training – it is about laying the foundation of our vision. We aim to build financial system encompassing training house, broking house, merchant banking, investment banking and private equity. Together, we can grow and achieve success in the financial markets.
Our approach combines personalized guidance, data-driven strategies, and disciplined trading techniques. We emphasize on researching, back-testing, risk management, and team-oriented growth to help students become confident and successful traders. Whether it is knowing the basics of technical analysis, how to develop algorithmic systems, or how to construct a trading strategy, my ambition is to help you grab the reins of your life finances fully.
What Learners Say About SRA!
Frequently Asked Questions
Our key courses include the Value Investing Course and the Proprietary Trading Course. Each course is crafted to cover essential concepts, strategies, and tools for success in the stock market.
Our advanced courses include training on algorithmic trading, including back-testing strategies, and using trading software. We cover everything from basic automation to building your own trading algorithms.
No prior knowledge is needed compulsorily, to join our courses, as we start with fundamental concepts of the stock market regardless of your background.
Yes, every student gets the certification after the successful completion of the course from SRA.
You can enroll through our website by selecting your desired course, and can also visit our offline campus.
Yes, we do provide after-course training on trading tools under the survellience of our experts
Absolutely! If you have more questions or need further assistance, feel free to reach out to us at:
- Phone: +91 93763 11559
- Email: [email protected]
We’re here to help you make the best decision for your educational journey.
Ready to Trade Smarter?
Fill Out the Form and Begin Today!
- Certification of Completion for Your Credibility
- Access to institutional trading tools
- Interactive Live Sessions with Experts
- Practice with Trading Simulators
- Automate trading setup
- Backtest systematic trading setup
- Lifetime access to Algo-trader community
