From basics to advanced strategies - Learn, Practice, and Deploy with confidence
Learn what algorithmic trading is, how it evolved from manual trading, different types of algo strategies, and regulatory requirements. Perfect starting point for beginners.
Master order types (Market, Limit, Stop), understand order book mechanics, learn about brokers, APIs, and execution systems. Essential for understanding how trades are executed.
Build trading strategies using technical indicators like Moving Averages, RSI, MACD. Learn to combine multiple indicators and create robust algorithmic trading systems.
Learn to test your strategies on historical data. Master key metrics like PnL, Sharpe ratio, drawdown, and avoid common backtesting pitfalls. Essential before Live Deployments.
Practice with simulated market execution before risking real money. Learn the differences between paper and Live Deployments, including latency and execution challenges.
Deploy your strategies in live markets with real money. Connect to broker APIs, handle real-time data streams, and monitor live performance. Advanced risk management required.
Master position sizing, stop-loss strategies, daily loss limits, and portfolio diversification. Learn to hedge positions and manage correlation risk across multiple strategies.
Explore cutting-edge techniques including machine learning in trading, arbitrage strategies, market making, options automation, and multi-broker systems. For expert traders.
Understand SEBI regulations for algorithmic trading in India, broker partnership requirements, and how to build commercial algo trading platforms at scale.