Master technical, algorithmic, and derivatives trading skills effectively.
Technical analysis with price action and indicators
Quantitative trading using statistical and machine learning models
Automated trading strategy development in Python
Equity trading across intraday, swing, and position setups
Options trading with Greeks, spreads, and volatility strategies
Derivatives trading for hedging and speculation
Identify trade setups using price action strategies
Apply indicators like RSI, MACD, and EMAs
Combine volume and OI data for better entries
Build statistical and machine learning trading models
Automate strategies using Python and APIs
Backtest and optimize performance for risk control
Trade intraday, swing, and long-term equity positions
Use options Greeks to manage risk effectively
Implement spreads, straddles, and volatility-based strategies
Risk & Derivatives Management
Apply leverage and margin prudently in trading
Integrate technical tools into derivatives decision-making
Structured training options to suit varied market expertise levels.
Aspiring traders seeking structured skills in equities, options, and futures.
Finance professionals aiming to transition into trading-focused roles.
Experienced traders looking to refine strategies with quant and algo trading.
Find the right program for your future goals.
You will gain expertise in technical analysis, quantitative trading, algorithmic trading, equity trading, options trading, and derivatives trading, with a focus on practical application and risk management.
Yes, this course is suitable for both beginners and experienced traders. It starts with foundational trading concepts and progressively covers advanced strategies like quant and algorithmic trading.
Yes. The program covers algorithmic trading with Python, machine learning for predictive trading, and statistical arbitrage strategies for a deeper understanding of quant trading.
The course covers equities, options, futures, derivatives (including swaps and forwards), commodities, currencies, and fixed-income instruments.
The training emphasizes practical skills, including live strategy building, backtesting, risk controls, and market simulations to bridge theory with real-world trading.
Yes. Risk management principles, including hedging, portfolio diversification, and position sizing, are integrated throughout all trading modules to ensure disciplined trading practices.
No prior coding experience is required. Python fundamentals for trading automation are included in the course.