Broker API Integration Developer

Python integrations for broker and exchange APIs, historical market data, WebSocket feeds and order-status synchronization.

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Connect your broker to a consistent interface

Integration scope starts with the required endpoints: instruments, historical data, quotes, orders and positions. Broker-specific symbols, quantity units and response formats are mapped to explicit internal models. Existing site technologies include Zerodha, Upstox, Angel One, Fyers and Interactive Brokers; support is confirmed against your account and project requirements.

Keep market data usable across disconnects

WebSocket consumers need heartbeat monitoring, reconnect backoff and subscription recovery. A pipeline should track timestamps and detect gaps rather than silently treat an old quote as current. Historical downloads need pagination, duplicate handling and a record of missing intervals.

Test authentication and failure paths

Credentials belong in secure configuration, not source files or logs. Integration testing should cover session expiry, rate limits, malformed responses and rejected orders. Broker permissions, data subscriptions and available test environments must be checked before agreeing the final delivery scope.

Potential project deliverables

  • Documented broker adapter and normalized data models
  • Historical-data import and validation workflow
  • WebSocket reconnect and stale-data handling
  • Authentication setup and API failure tests

The final scope, timeline and cost follow a review of your requirements.

Related work and next steps

Read a related project summary and its documentation status, or browse trading projects.

Trading-system engineering notes · Python algo trading course

Frequently asked questions

Can you integrate Fyers or Delta Exchange?

These can be discussed as integration requirements. Share the endpoints and account capabilities you need; availability and delivery scope must be confirmed before implementation.

Trading involves risk, including loss of capital. Backtest results do not guarantee future trading performance. Development and educational content are not investment advice. Read the trading-risk disclaimer.