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Build a Real-Time Cascade Detection Pipeline for a Trading Platform

FreeVerified credential5 weeksExpert

Overview

What this challenge is about.

Build a Real-Time Cascade Detection Pipeline for a Trading Platform. Expert-level challenge in code. Writing production code that solves real engineering pro...

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Build a real-time network-based cascade detection pipeline and back-test it against 12 known events with publishable precision/recall.

This is not a coding exercise. It is the work a software engineer does between a Jira ticket and a merged PR. That distinction matters to every hiring manager who has seen candidates solve LeetCode problems and none who have shipped production code under real constraints.

When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."

Earning criteria — what you'll demonstrate

  • Build a streaming pipeline that joins event data with a static graph
  • Combine order-flow and network features into a single cascade score
  • Back-test detection on a small labeled-event sample honestly
  • Translate a detection score into operational risk-desk action

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Network Science and Computational Social Science

Master · General Studies

Strong alignment

This challenge maps to Network Science and Computational Social Science at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

One more thing

You can put a credential on your CV by Friday.