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Global Pro Program
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Global Pro Program Financial Market Analysis
Master financial markets with advanced analysis, SMC & ICT concepts, Elliott Waves, and expert trading strategies.
Other Courses
- The Summit Program (Basic to Advance)
- Technical Analysis (ICT + SMC Concepts)
About the Global Pro Program Financial Market Analysis Course:
This is an intensive, end‑to‑end programme designed to take participants from fundamentals of financial markets and trading, through technical & fundamental analysis, to advanced analytics, derivatives, risk‑management and data‑driven decision‑making in global markets. It merges the “basic to advanced” trajectory of the Summit Programme with the “financial market analytics” emphasis of the Global Pro Programme.
Key features:
Start with the core building blocks of equities, derivatives, market structure, investing vs trading.
Progress through technical analysis, charting, derivatives (futures & options), and then move into analytics: big data, modelling, algorithmic trading, statistical tools.
Real‑life case studies, live market sessions, hands‑on trading simulations, analytics projects.
Designed for Indian participants but with global market context (Indian + international markets).
Certificate of completion. Mentorship, community access, lifetime updates.
Ideal for graduates, working professionals, aspiring traders/analysts, finance enthusiasts.
Learning outcomes:
Understand how financial markets operate (equities, derivatives, commodities, currencies).
Develop technical analysis and chart‑reading skills, recognise patterns, apply momentum/trend indicators.
Master fundamental analysis of companies and macro‑markets.
Use analytics and data tools to interpret market behaviour, build trading/investment strategies.
Apply risk‑management techniques and derivatives strategies.
Position for roles such as trader, market‑analyst, research associate, quantitative analyst, risk‑manager.
Module 1 – Market Fundamentals & Structure
- Introduction: What are financial markets, their participants (retail, institutional, FIIs).
- Exchanges: Indian (Bombay Stock Exchange, National Stock Exchange of India) + major global exchanges.
- Instruments overview: equities, bonds, mutual funds, ETFs, derivatives.
- Account setup: demat accounts, brokers, order types (market, limit, stop‑loss).
- Regulation: Role of Securities and Exchange Board of India (SEBI), clearing & settlement processes.
Module 2 – Basics of Trading & Investing
Investment vs trading: time‑horizons, styles.
Order mechanics, margins, leverage, stop‑loss, bracket/cover orders.
Market segments: equity, commodity, currency, derivatives.
Indices: Sensex, Nifty, sectorial indices, global indices.
Introduction to futures & options: their role in markets.
Module 3 – Technical Analysis Foundations
Chart types: line, bar, OHLC, candlestick charts.
Candlestick basics: psychology, patterns.
Support & resistance, trendlines, demand & supply zones.
Multi‑time‑frame analysis.
Introduction to indicators: moving averages (SMA, EMA), RSI, MACD, Bollinger Bands.
Module 4 – Advanced Technical Analysis
Candlestick pattern series: engulfing patterns, harami, tweezers, shooting star, hammer etc.
Chart patterns: head & shoulders, double top/bottom, triangles, flags/pennants.
Advanced tools: VWAP, Fibonacci retracements, trend channels, volume analysis.
Price action concepts: breakout & continuation setups, false breaks, reversal signals.
Module 5 – Options & Derivatives Strategies
Options universe: calls & puts, moneyness (ITM, ATM, OTM).
The Greeks: Delta, Gamma, Theta, Vega.
Options chain analysis, implied volatility, open interest.
Basic and advanced options strategies: spreads, straddles, hedging.
Futures mechanics: margin, settlement, roll‑over, commodity & currency futures.
Module 6 – Fundamental Analysis & Valuations
Company financials: balance sheet, P&L, cash‑flow.
Ratio analysis: ROE, ROA, D/E, current/quick ratio.
Macro & sectoral drivers: GDP, interest rates, inflation, global linkages.
Valuation techniques: DCF, multiples (PE, PEG), comparative analysis.
IPO/primary market insights: grey market premium, allocation, selection.
Module 7 – Analytics, Modelling & Algorithmic Trading
Introduction to data analytics in finance: big data, alternative data.
Statistical & quantitative tools: descriptive, predictive and prescriptive analytics.
Financial modelling in Excel / Python / R: building models for price forecasting, back‑testing.
Algorithmic trading concepts: automated strategies, back‑testing frameworks, risk controls.
Case study: build and test a strategy on live/ historical data.
Module 8 – Risk Management, Portfolio & Global Markets
Portfolio construction: diversification, asset allocation, rebalancing.
Risk metrics: Value at Risk (VaR), stress testing, scenario analysis.
Fixed income, forex, commodity markets: global context.
Robo‑advisory, fintech applications, blockchain/crypto (overview).
Professional skills: ethics in trading, regulatory compliance, behavioral finance.
Module 9 – Capstone Project & Live Trading Simulation
Live trading simulation: apply learned strategies in a sandbox environment.
Analytics project: participants pick a market/instrument, apply data‑driven insights, present findings.
Mentor review, peer discussion, presentation.
Certification and transition support: placement guidance or freelancing/trading career path.
Module 10 – Career & Placement/Support
Building a trader/analyst profile: resume, LinkedIn, personal branding.
Interview preparation for roles: market‑analyst, trading desk, research associate.
Network access: alumni community, trading forums, mentorship circles.
Ongoing support: lifetime access to content updates, community channels, Q&A sessions.
Delhi NCR
After completing the course, Anita started as a research analyst in an equity brokerage firm and now runs her own trading desk focusing on derivatives, achieving consistent monthly returns of ~7‑8%.
Mumbai, Maharashtra
Leveraged the portfolio‑construction and global markets module to secure a portfolio manager role at an asset management company, overseeing small‑cap funds.
Bengaluru, Karnataka
A commerce graduate who used the live simulation and mentorship to build his independent trading business specialising in options strategies and commodities.
Ahmedabad, Gujarat
Joined as a banking operations executive, completed the course, and transitioned into risk‑management for a top brokerage, focusing on derivatives compliance and regulatory analytics.
Chandigarh, Punjab
With background in software, Neha applied the analytics & Python modules to automate her trading. She now works as algorithmic strategy developer for a proprietary trading firm.
Hyderabad, Telangana
Frequently Asked Question
Do I need any prior trading or finance experience to join?
No prerequisite finance/trading background is required. The first modules cover market fundamentals.
What is the mode of the programme (online/offline/hybrid)?
The programme is offered in a hybrid mode — live online sessions, recorded lectures, and periodic in‑person/virtual workshops.
How long is the programme and what is the commitment?
The course runs for ~6‑9 months (depending on batch type) with ~150‑200 hours of live instruction plus assignments, projects and simulation.
Will I receive a certificate after completion?
Yes—participants who complete all modules, assignments, project and simulation receive a certificate of completion from GISE.
Is there any placement assistance or support after the programme?
Yes—mentorship, career guidance, alumni networking, and referral support are included. However, job placement cannot be guaranteed.
Are live trading sessions included?
Yes—modules include live market sessions (charting, trading simulation) to apply concepts in real or near‑real time.
What tools/softwares will we use?
Participants will learn to use platforms like TradingView, Excel/Google Sheets modelling, and optionally Python/R for analytics modules.
What is the difference between this combined programme and separate basic or advanced courses?
This programme covers full spectrum—from basics to advanced analytics—so you don’t need to enrol separately; it’s more comprehensive and integrated.
Can working professionals join this programme?
Yes—the schedule is designed to accommodate working professionals (evenings/weekends) and recorded sessions allow flexible access.
What happens after completion — can I trade independently or seek employment?
You will be equipped for both paths—independent trading/investing or roles in finance/trading/analytics. Your decision will depend on your goals, risk appetite and network.
About the Global Pro Program Financial Market Analysis Course:
This is an intensive, end‑to‑end programme designed to take participants from fundamentals of financial markets and trading, through technical & fundamental analysis, to advanced analytics, derivatives, risk‑management and data‑driven decision‑making in global markets. It merges the “basic to advanced” trajectory of the Summit Programme with the “financial market analytics” emphasis of the Global Pro Programme.
Key features:
Start with the core building blocks of equities, derivatives, market structure, investing vs trading.
Progress through technical analysis, charting, derivatives (futures & options), and then move into analytics: big data, modelling, algorithmic trading, statistical tools.
Real‑life case studies, live market sessions, hands‑on trading simulations, analytics projects.
Designed for Indian participants but with global market context (Indian + international markets).
Certificate of completion. Mentorship, community access, lifetime updates.
Ideal for graduates, working professionals, aspiring traders/analysts, finance enthusiasts.
Learning outcomes:
Understand how financial markets operate (equities, derivatives, commodities, currencies).
Develop technical analysis and chart‑reading skills, recognise patterns, apply momentum/trend indicators.
Master fundamental analysis of companies and macro‑markets.
Use analytics and data tools to interpret market behaviour, build trading/investment strategies.
Apply risk‑management techniques and derivatives strategies.
Position for roles such as trader, market‑analyst, research associate, quantitative analyst, risk‑manager.
Module 1 – Market Fundamentals & Structure
- Introduction: What are financial markets, their participants (retail, institutional, FIIs).
- Exchanges: Indian (Bombay Stock Exchange, National Stock Exchange of India) + major global exchanges.
- Instruments overview: equities, bonds, mutual funds, ETFs, derivatives.
- Account setup: demat accounts, brokers, order types (market, limit, stop‑loss).
- Regulation: Role of Securities and Exchange Board of India (SEBI), clearing & settlement processes.
Module 2 – Basics of Trading & Investing
Investment vs trading: time‑horizons, styles.
Order mechanics, margins, leverage, stop‑loss, bracket/cover orders.
Market segments: equity, commodity, currency, derivatives.
Indices: Sensex, Nifty, sectorial indices, global indices.
Introduction to futures & options: their role in markets.
Module 3 – Technical Analysis Foundations
Chart types: line, bar, OHLC, candlestick charts.
Candlestick basics: psychology, patterns.
Support & resistance, trendlines, demand & supply zones.
Multi‑time‑frame analysis.
Introduction to indicators: moving averages (SMA, EMA), RSI, MACD, Bollinger Bands.
Module 4 – Advanced Technical Analysis
Candlestick pattern series: engulfing patterns, harami, tweezers, shooting star, hammer etc.
Chart patterns: head & shoulders, double top/bottom, triangles, flags/pennants.
Advanced tools: VWAP, Fibonacci retracements, trend channels, volume analysis.
Price action concepts: breakout & continuation setups, false breaks, reversal signals.
Module 5 – Options & Derivatives Strategies
Options universe: calls & puts, moneyness (ITM, ATM, OTM).
The Greeks: Delta, Gamma, Theta, Vega.
Options chain analysis, implied volatility, open interest.
Basic and advanced options strategies: spreads, straddles, hedging.
Futures mechanics: margin, settlement, roll‑over, commodity & currency futures.
Module 6 – Fundamental Analysis & Valuations
Company financials: balance sheet, P&L, cash‑flow.
Ratio analysis: ROE, ROA, D/E, current/quick ratio.
Macro & sectoral drivers: GDP, interest rates, inflation, global linkages.
Valuation techniques: DCF, multiples (PE, PEG), comparative analysis.
IPO/primary market insights: grey market premium, allocation, selection.
Module 7 – Analytics, Modelling & Algorithmic Trading
Introduction to data analytics in finance: big data, alternative data.
Statistical & quantitative tools: descriptive, predictive and prescriptive analytics.
Financial modelling in Excel / Python / R: building models for price forecasting, back‑testing.
Algorithmic trading concepts: automated strategies, back‑testing frameworks, risk controls.
Case study: build and test a strategy on live/ historical data.
Module 8 – Risk Management, Portfolio & Global Markets
Portfolio construction: diversification, asset allocation, rebalancing.
Risk metrics: Value at Risk (VaR), stress testing, scenario analysis.
Fixed income, forex, commodity markets: global context.
Robo‑advisory, fintech applications, blockchain/crypto (overview).
Professional skills: ethics in trading, regulatory compliance, behavioral finance.
Module 9 – Capstone Project & Live Trading Simulation
Live trading simulation: apply learned strategies in a sandbox environment.
Analytics project: participants pick a market/instrument, apply data‑driven insights, present findings.
Mentor review, peer discussion, presentation.
Certification and transition support: placement guidance or freelancing/trading career path.
Module 10 – Career & Placement/Support
Building a trader/analyst profile: resume, LinkedIn, personal branding.
Interview preparation for roles: market‑analyst, trading desk, research associate.
Network access: alumni community, trading forums, mentorship circles.
Ongoing support: lifetime access to content updates, community channels, Q&A sessions.
Initially working in a non‑finance role, he switched careers to become a quantitative analyst at a fintech startup, using modelling and algorithmic trading skills learned in the programme.
Delhi NCR
After completing the course, Anita started as a research analyst in an equity brokerage firm and now runs her own trading desk focusing on derivatives, achieving consistent monthly returns of ~7‑8%.
Mumbai, Maharashtra
Leveraged the portfolio‑construction and global markets module to secure a portfolio manager role at an asset management company, overseeing small‑cap funds.
Bengaluru, Karnataka
A commerce graduate who used the live simulation and mentorship to build his independent trading business specialising in options strategies and commodities.
Ahmedabad, Gujarat
Joined as a banking operations executive, completed the course, and transitioned into risk‑management for a top brokerage, focusing on derivatives compliance and regulatory analytics.
Chandigarh, Punjab
With background in software, Neha applied the analytics & Python modules to automate her trading. She now works as algorithmic strategy developer for a proprietary trading firm.
Hyderabad, Telangana
Frequently Asked Question
Do I need any prior trading or finance experience to join?
No prerequisite finance/trading background is required. The first modules cover market fundamentals.
What is the mode of the programme (online/offline/hybrid)?
The programme is offered in a hybrid mode — live online sessions, recorded lectures, and periodic in‑person/virtual workshops.
How long is the programme and what is the commitment?
The course runs for ~6‑9 months (depending on batch type) with ~150‑200 hours of live instruction plus assignments, projects and simulation.
Will I receive a certificate after completion?
Yes—participants who complete all modules, assignments, project and simulation receive a certificate of completion from GISE.
Is there any placement assistance or support after the programme?
Yes—mentorship, career guidance, alumni networking, and referral support are included. However, job placement cannot be guaranteed.
Are live trading sessions included?
Yes—modules include live market sessions (charting, trading simulation) to apply concepts in real or near‑real time.
What tools/softwares will we use?
Participants will learn to use platforms like TradingView, Excel/Google Sheets modelling, and optionally Python/R for analytics modules.
What is the difference between this combined programme and separate basic or advanced courses?
This programme covers full spectrum—from basics to advanced analytics—so you don’t need to enrol separately; it’s more comprehensive and integrated.
Can working professionals join this programme?
Yes—the schedule is designed to accommodate working professionals (evenings/weekends) and recorded sessions allow flexible access.
What happens after completion — can I trade independently or seek employment?
You will be equipped for both paths—independent trading/investing or roles in finance/trading/analytics. Your decision will depend on your goals, risk appetite and network.
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Initially working in a non‑finance role, he switched careers to become a quantitative analyst at a fintech startup, using modelling and algorithmic trading skills learned in the programme.