Overview

A planned advanced course for experienced Python developers. The curriculum covers a FastAPI backend, a market data pipeline, a broker abstraction layer with a paper-trading mode, a pluggable strategy engine with risk controls, a real-time React dashboard, and secure deployment with Docker and CI/CD. This course is not yet open; the curriculum below is the planned outline and may change before launch.

Part of Algo Developer (advanced capability).

Who this course is for

Algorithmic traders who want a system they fully own and can extend
Python developers with trading knowledge who want to build a serious financial product
Learners who have completed Algorithmic Trading with Python
Software engineers who want to specialise in fintech

Who this course is not designed for

People looking for tips, calls or recommendations on what to trade
Anyone seeking personalised investment advice
Anyone expecting a course to produce profits or income
Learners without solid Python, SQL and API experience — the course assumes them from Week 1

Prerequisites

Strong Python skills — classes, decorators, async functions and third-party libraries
Basic SQL — SELECT, INSERT, JOIN and GROUP BY
Familiarity with REST APIs
Basic JavaScript or TypeScript
Git version control
Recommended: Algorithmic Trading with Python or equivalent

What you will be able to do

Design a trading platform architecture and its data model
Build a FastAPI backend with a service-layer architecture, validation and tests
Build a market data pipeline for historical and intraday data
Implement a broker abstraction layer with a paper-trading mode
Build a pluggable strategy engine with pre-trade risk controls and back-testing
Build a real-time React and TypeScript trading dashboard
Deploy securely with Docker, HTTPS and a CI/CD pipeline

Curriculum

14 modules · 54 lessons

Module 01 · Platform Architecture & Development EnvironmentWeek 1 · 6 lessons

1.1Trading Platform Architecture — System Design Fundamentals
1.2Development Environment — Python, Node, Docker, PostgreSQL
1.3Repository Structure & Project Conventions
1.4Database Design — Schema for Trading Data
1.5SQLAlchemy ORM & Alembic Migrations
1.6FastAPI Quickstart — Your First API Endpoint

Module 02 · FastAPI Backend — REST API Design & Service Layer6 lessons

2.1Pydantic Models — Request Validation & Response Schemas
2.2Service Layer Pattern
2.3Background Tasks & Async Workers
2.4WebSocket Endpoints
2.5Error Handling, Logging & Observability
2.6API Testing

Module 03 · Market Data Pipeline — Ingestion, Storage & Distribution6 lessons

3.1Historical Data Ingestion
3.2Live Tick Data to Redis Pub/Sub
3.3Tick Aggregation
3.4Market Data API Endpoints
3.5Data Quality & Corporate Actions
3.6Market Data WebSocket

Module 04 · Broker API Integration & Order Routing5 lessons

4.1Broker Abstraction Layer
4.2Authentication & Token Management
4.3Order Placement, Modification & Cancellation
4.4Position & Portfolio Reconciliation
4.5Paper Trading Mode

Module 05 · Strategy Engine — Pluggable Execution Framework6 lessons

5.1Strategy Interface — Designing the Plugin Architecture
5.2The Execution Loop
5.3Plugging In Strategies
5.4Risk Management Module
5.5Strategy Management API
5.6Back-Testing Engine

Module 06 · Order Management System3 lessons

6.1Order Lifecycle Management
6.2Partial Fill Handling
6.3GTT Order Management

Module 07 · Real-Time P&L Engine2 lessons

7.1Unrealised and Realised P&L Calculation
7.2FIFO Cost Basis

Module 08 · Alerts & Notification Engine2 lessons

8.1Price and Indicator Alerts
8.2Routing to Telegram, Discord and Email

Module 09 · Performance Analytics API2 lessons

9.1Return and Drawdown Metrics
9.2Analytics Endpoints

Module 10 · React + TypeScript Foundation3 lessons

10.1Vite Project Setup
10.2Data Fetching with React Query
10.3Authentication Flow

Module 11 · Live Charts & Dashboard Components3 lessons

11.1Candlestick Charts
11.2Position Cards
11.3Order Book Components

Module 12 · WebSocket Integration & Real-Time State2 lessons

12.1A useWebSocket React Hook
12.2Reconnection Handling

Module 13 · Auth, Docker & AWS Production Deployment4 lessons

13.1JWT Authentication
13.2Production Docker Compose
13.3Cloud Deployment
13.4Nginx Reverse Proxy & HTTPS

Module 14 · CI/CD Pipeline & Capstone Platform Demo4 lessons

14.1GitHub Actions Workflow
14.2Docker Image Build & Push
14.3Zero-Downtime Deployment
14.4Capstone Demonstration

Projects

Project briefs for this course are being finalised. The capstone is described below where available.

Capstone

Your Own Trading Platform

Demonstrate a working web application that ingests market data, runs strategies, displays positions in real time and routes orders through the broker abstraction layer, followed by an instructor review of architecture, code quality and security.

Practice on AlphaSync

Coming Soon

Practice exercises in AlphaSync's simulated environment are planned for this course. Until AlphaSync is available, practice uses paper trading and the tools named in the curriculum.

Instructors

Instructor profiles are published once each instructor has approved their profile and credentials have been verified.

Assessment

Four integration milestone reviews and a capstone platform demonstration (planned).

Certification

Certification details available soon.

Frequently asked questions

Questions about this course are answered during your enquiry. Detailed FAQs will be published here.

Fees and enrolment

Ask about fees, batch dates, format or whether the course fits your experience. The Academy will reply by email.