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Intermediate

Automating Strategies Using Zerodha Kite Connect API

You already know how to log in to Kite Connect, pull data and place an order. This course is about everything that comes after: building a strategy that runs on its own, reliably, inside SEBI's retail algo framework. You will build live candles from ticks, structure strategy logic as a state machine, size positions from live margins, handle partial fills and rejections, code your own kill switch, and deploy the bot on a Mumbai cloud server with a static IP, using a Nifty futures opening range breakout as the running example.

Kite Connect APIAlgorithmic TradingPythonOrder ManagementRisk ControlsDeploymentSEBI Algo Rules
MODULES
6
DURATION
~4 hrs
TRACK
Algorithmic Trading

What You'll Master

How to architect an automated strategy as separate data, signal, risk, execution and monitoring layers
What SEBI's retail algo framework, static IP rules and order-per-second limits mean for your code
How to build live candles from Kite Ticker ticks and survive disconnects without corrupting your data
How to code a Nifty futures opening range breakout end to end as a state machine
How to size positions from live margins and pick the right order types for unattended execution
How to write idempotent order logic that handles partial fills, rejections and retries
How to code pre-trade checks, daily loss limits and a software kill switch
How to deploy, schedule, monitor and stage a bot from paper trading to live capital
Access Level
LEARNER
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Everything included
Full Text Playbooks
Actionable Exercises
Mobile Reading Mode
Lifetime Updates

Curriculum Breakdown

Chapter 1: From Script to System

4 Lessons
▶
Why Automate: What Changes When Code Places Your Orders8 min read
Preview
▶
Anatomy of an Automated Strategy: Data, Signal, Risk, Execution and Monitoring10 min read
▶
Building Around the Retail Algo Rules: SEBI 2025 Framework, Static IPs and Order Limits12 min read
▶
Setting Up the Bot Project: Folder Layout, Config, Secrets and Logging10 min read

Chapter 2: Reliable Sessions and Data Plumbing

4 Lessons
▶
Handling the Daily Access Token Without Breaking the Rules9 min read
▶
Building a Local Candle Store From the Historical Data API11 min read
▶
Turning Kite Ticker Ticks Into Live Candles12 min read
▶
Surviving Disconnects, Reconnects and Missing Ticks10 min read

Chapter 3: From Signal to Order

4 Lessons
▶
Structuring Strategy Logic as a State Machine10 min read
▶
Worked Build: An Opening Range Breakout on Nifty Futures14 min read
▶
Position Sizing With Live Margins: The Margins and Basket Margin APIs10 min read
▶
Choosing Order Types for Automation: Limit, SL, Market Protection and GTT10 min read

Chapter 4: Execution and the Order Lifecycle

4 Lessons
▶
Tracking Order Updates With Postbacks and WebSocket Streams10 min read
▶
Partial Fills, Rejections and Retries: Writing Idempotent Order Logic12 min read
▶
Rate Limits, Order Tags and Staying Under the OPS Threshold9 min read
▶
Reconciling Your Book: Orders, Trades and Positions at Every Step10 min read

Chapter 5: Risk Controls and Kill Switches

3 Lessons
▶
Pre-Trade Checks You Must Code Yourself10 min read
▶
Daily Loss Limits, Position Caps and the Software Kill Switch11 min read
▶
Square-Off Timings and the End-of-Day Routine8 min read

Chapter 6: Deployment, Monitoring and Going Live

5 Lessons
▶
Deploying Your Bot on a Mumbai Cloud Server With a Static IP12 min read
▶
Scheduling, Process Supervision and the NSE Holiday Calendar9 min read
▶
Telegram Alerts and Logs You Will Actually Read9 min read
▶
Paper Trading, Shadow Mode and a Staged Go-Live Plan10 min read
▶
Post-Trade Review: Matching Backtest, Paper and Live Results10 min read