Algorithmic Trading & Quantitative Strategy Systems
IntermediateQuantitative & AlgoOnly 6 seats remaining for Monday, Dec 15, 2026
Automate your trading: backtest with statistical rigor, code custom PineScript indicators, and deploy automated Python bots via broker APIs.
Duration
4 Weeks (Hands-on Coding Labs)
Cohort Format
Live Online Coding Labs + GitHub Repository Access
Next Batch
Monday, Dec 15, 2026
Student Rating
4.88 (142)
RO
Rohan Malhotra
Fintech Architect & Quant Developer
11+ Years Algorithmic Trading Systems
Cohort Enrolment FeeSave ₹10,500
₹17,500₹28,000
All-inclusive (Course, Software Indicators, Desk/Zoom Access)
Program Deliverables:
Access to private GitHub repository with 12 battle-tested production algo templates
Zerodha Kite API & Dhan API sample boilerplate starter kits
Ready-to-deploy automated webhook server for TradingView
Lifetime updates to PineScript v5 libraries
Direct code review of your personal strategy by Rohan Malhotra
Module-by-Module Syllabus
Every concept is taught with real live-market examples, tick-by-tick tape analysis, and hands-on case studies.
01
Week 1TradingView PineScript v5 Complete Mastery
PineScript v5 syntax, execution model, and memory efficiency
Building custom multi-timeframe indicators and Fibonacci alert scripts
Developing automated strategies: Strategy tester, orders, pyramiding
Connecting PineScript alerts to external webhooks via JSON payloads
02
Week 2Python for Financial Analysis & Pandas Backtesting
Financial data engineering with Pandas, NumPy, and yfinance
Calculating rolling returns, ATR, Bollinger Bands, and custom factors
Event-driven backtesting engine vs vectorized backtesting
Performance metrics: CAGR, Sharpe, Sortino, Calmar, Max Drawdown
03
Week 3Strategy Optimization & Avoiding Overfitting
Monte Carlo simulations to test strategy robustness under stress
Walk-Forward Analysis (WFA) and Out-of-Sample validation
Parameter optimization without curve-fitting traps
Correlation matrices for building multi-strategy non-correlated portfolios
04
Week 4Live Broker API Integration & Cloud Deployment
Connecting to Zerodha Kite Connect, Dhan HQ, and Angel One SmartAPI
Authentication, TOTP generation, access token management
Risk management kill-switches: Hard daily loss limit, automated order throttling
Deploying on cloud servers (AWS EC2 / DigitalOcean) with 24/7 uptime monitoring
Prerequisites
- •Basic programming exposure in any language (Python basics taught in week 1)
- •Personal computer with Python 3.10+ installed (VS Code recommended)
- •Trading account with API access enabled
Who This Program Is Designed For
- •Software engineers and tech professionals wanting to trade systematically
- •Discretionary traders wanting to eliminate emotional execution errors
- •Data analysts and finance students aspiring to enter quantitative hedge funds
Secure Your Seat in the Monday, Dec 15, 2026 Batch
Cohorts are strictly capped at 20 traders to ensure 1-on-1 mentor interaction.