Algorithmic Trading in Python

Strategy Lifecycle

From Alpha Generation to Risk-Managed Execution. Master the lifecycle of an algorithmic strategy.

The promise

From Alpha Generation to Risk-Managed Execution. Master the lifecycle of an algorithmic strategy.

Included

Self-paced lessonsHands-on implementationCertificate of completion

What you'll master

Explain the mechanics of Limit Order Books (LOB) and price formation

Implement various alpha signals (momentum, mean reversion, arbitrage)

Understand the impact of market frictions on signal decay

Earn a verifiable certificate

Finish the course and claim a shareable AlgoCracked credential with its own public verification page. Here's the certificate you'll earn:

AlgoCracked

Proof of applied skill

Sample certificate

This certifies that

Your Name

has completed the course

Algorithmic Trading in Python

AwardedOn course completion

Issued

On completion

Credential ID

CERT-XXXXXXXX

Verify online

algocracked.com/certificate/CERT-XXXXXXXX

★

Preview

Prerequisites

basic programming fluency
comfort with technical self-study
willingness to complete implementation labs

THE FULL BRIEF

How the learning experience works

Market Microstructure & Signal Generation - Explain the mechanics of Limit Order Books (LOB) and price formation Backtesting & Strategy Evaluation - Design and implement a deterministic, event-driven backtester Execution & Risk Management - Master optimal execution algorithms (VWAP, TWAP, POV)

Final Deliverable

The Strategy Runner.