Stage 5 · Mastery II — Systems Architect · ₹17,999
Stage 5: deploy your systematic strategy live, with execution architecture that doesn't break.
Stage 4 produces backtested code. Stage 5 produces deployed, monitored, fault-tolerant systems running against live broker APIs with proper SEBI 2025 algo-trading compliance. The gap from "the backtest works" to "the system has been running live for 6 months with no manual intervention" is the entire content of this stage.
The five Stage 5 volumes
From research code to production system
The seven components of a production trading system: data ingestion, signal generation, position sizing, order management, execution, monitoring, post-mortem reporting. The boundaries between them. Why each should be its own module, why each should fail independently, and why the integration points between them are where most retail attempts at automation break. Includes the canonical reference architecture used at proprietary trading desks.
Zerodha Kite Connect, Dhan, AngelOne SmartAPI
Authentication, order placement, position tracking, market-data subscription, error handling, rate limiting, and the broker-specific quirks each one has. The differences between place-order and place-cover-order. Why bracket orders are easier to misuse than to use correctly. Reconciliation: matching system-state to broker-state continuously. Includes working Python wrappers for all three brokers, structured for swap-out testing.
Where the code runs and what fails when it doesn't
Choosing between cloud (AWS, GCP, DigitalOcean) and on-premise. The latency requirements that determine the choice. Process supervision (systemd, pm2). Secrets management. Backup and restore. Network failure handling. The five-second-rule for stale data. Most retail systematic attempts run on the trader's laptop and break the first time the laptop sleeps. This volume eliminates that whole category of failure.
The dashboard the system builds for itself
Real-time PnL tracking. Position-vs-target reconciliation. Drawdown alerts. Order-fill latency monitoring. Heartbeat-based dead-system detection. The structured logging that makes post-mortem analysis possible. Discord/Telegram bot integration for alerts. The monitoring system is what lets you sleep through a trading day without checking. If it breaks, you don't know your system has failed until the EOD reconciliation, by which point the loss is locked in.
The compliance walkthrough most algo traders skip
SEBI's 2025 algo-trading circular (post-Jan 2025): which algorithmic activity requires exchange approval, which requires Research Analyst registration if signals are sold, which is permissible as private use. The exchange's algorithmic-strategy approval process for retail-tier traders. The audit-trail and reporting requirements. The capstone exercise: deploy your Stage 4 system to live capital (small allocation) for 4 weeks under proper compliance, submit deployment artifacts (code, monitoring screenshots, reconciliation logs, compliance documentation) for grading.
What Stage 5 is not
- Not a high-frequency trading curriculum. Microsecond-latency arbitrage requires specialist infrastructure outside this scope. Stage 5 covers second-to-minute scale execution that is appropriate for retail-tier accounts.
- Not a substitute for an exchange-approved algo-trading firm setup. Some strategies (specifically: black-box signals sold to others) require formal RA registration. Stage 5 covers the boundary; Stage 6 covers the registration process if you choose to cross it.
- Not a guarantee of profitability after deployment. The Stage 4 backtest result is necessary but not sufficient. Live deployment exposes execution costs, slippage, and regime risk that the backtest can't fully capture.
Who should buy Stage 5 right now
- Stage 4 capstone passed and the codebase has been running paper for 4+ weeks. You're ready for live deployment.
- You want production-grade execution. The gap between research code and a system running unattended for months is real, and Stage 5 closes it.
- You have any aspiration toward proprietary trading firm work, AIF Cat III, or running an algo-trading practice. Stage 5 is the engineering floor.
Who should NOT buy Stage 5 yet
- You haven't passed Stage 4. The codebase to deploy doesn't exist yet.
- You don't actually want to deploy. If you enjoy systematic backtesting as analysis but won't run live capital, Stage 4 is sufficient. Stage 5's payoff requires actual deployment.
- You want fully-managed infrastructure. We teach how to architect; we don't provide a hosted platform. Several third-party platforms (Streak, Tradetron, AlgoTest) sell that — they are not a substitute for the architectural literacy Stage 5 builds.
Enrol in Stage 5
₹17,999 all-inclusive · 5 volumes · 3 broker integrations · 4-week live capstone · Lifetime access · 7-day refund window.
Enrol Stage 5 — ₹17,999Bharath Shiksha is an educational publisher. We do not provide investment advice. SEBI's 2025 algo-trading circular requires exchange approval for some algorithmic activity; the Stage 5 compliance walkthrough is educational, not legal advice. Consult a SEBI-specialist law firm before deploying any algorithmic strategy at scale. Trading involves substantial risk of capital loss.