Algo Trading Builder
Ten weeks building your own rules engine in Python, with risk controls and logging, tested and paper-traded on historical replay, with an overview of SEBI’s retail algo framework.
₹70,000 + GST · ₹82,600 incl. GST
Who it is for
- Learners comfortable with Python who want to build a rules engine
- Students of Backtesting and Strategy Research who want to go further
- Traders who want to understand how algorithmic systems and SEBI’s rules for retail algos work
Skills you will build
- Design a rules engine with separate data, signal, risk and order components
- Write signal logic in code and test it with unit tests
- Build risk controls: exposure limits, daily loss limits and a manual kill switch
- Handle order states, rejections and retries in a simulated broker interface
- Log, monitor and reconcile a paper-trading run
- Describe SEBI’s retail algo framework and keep API keys and credentials private
Week-by-week curriculum
- Components: data, signals, risk, orders and logs
- Event-driven versus bar-driven design
- Configuration and project structure
- Choosing what to build and what to skip
- Historical and delayed data ingestion
- Cleaning, storing and versioning data
- Timestamps, calendars and corporate actions
- Data quality checks
- Turning written rules into functions
- Indicators and features
- Unit tests for signal logic
- Avoiding look-ahead in code
- Position sizing and exposure limits
- Daily loss limits and a manual kill switch
- Handling bad data and missing bars
- Fail-safe defaults
- Order types, states and lifecycles
- Partial fills, rejections and retries
- Rate limits and idempotency
- A simulated broker interface
- Validating the engine against known results
- Costs, slippage and fills
- Walk-forward checks
- Reading results sceptically
- Replaying historical sessions through the engine
- Running on delayed data in the simulator
- Logs, reports and reconciliation
- Comparing paper results with backtest assumptions
- The broker’s role and exchange registration
- API access and security expectations
- Why unregistered algo offers are a red flag
- What stays your responsibility
- Logging, alerts and health checks
- Failure drills: stale data, disconnects and duplicate orders
- Credential hygiene: API keys and secrets
- Incident write-ups
- Final build and documentation
- A paper-trading run on historical replay
- Mentor review of code and risk controls
- Next steps and ongoing study
What is included
- Live classes online or in Hyderabad
- Class recordings for 6 months
- Workbook PDF
- GZ paper-trading simulator (historical and delayed data)
- Moderated community with no tips
- Doubt-clearing sessions
- Completion certificate
- Python notebooks and starter rules-engine code
- Capstone code and documentation review by a mentor
- Briefing on SEBI’s retail algo framework as in force for your batch
Your mentor
Your mentor is introduced before the batch starts. Every GZ Trades mentor has 10+ years of market experience, reviews your own journal and process, and never gives trade calls.
Read before you enroll
Risk and honesty
Education only
GZ Trades provides education only. We do not give investment advice or research recommendations, manage money, or guarantee returns.
Risk of loss
Trading in securities involves risk of loss. SEBI has reported that 9 out of 10 individual traders in equity F&O incurred net losses.
US markets and LRS
Investing in US markets from India is subject to RBI’s Liberalised Remittance Scheme and FEMA rules.
Fees to the company only
We accept fees only into the current account of Gigglezen Technologies Pvt Ltd. We never ask you to pay a personal account or UPI ID, or to share your trading login.
Questions about this program
No. Everything is built and paper-traded on historical replay and delayed data. If you later connect to a broker, that is your own decision in your own account under the broker’s and SEBI’s rules. We never ask for your API keys or logins.
No. We teach how to build and test your own rules. We do not sell strategies, signals or managed algos, and we run nothing on your behalf.
No. GZ Trades provides education only. We do not give investment advice, research recommendations, stock tips or buy and sell calls. We teach with historical charts and paper trading.
Only if you choose to trade on your own, with any SEBI-registered broker you pick. You don’t need one for our classes. We never open or operate accounts for students.
Full refund if you cancel 7 or more days before the batch starts; 50% if you cancel later but before the second session; none after the second session. You also get one free batch transfer. Refunds go to the source account within 7 working days of your cancellation request.