Quick Overview

This question evaluates time-series data manipulation and vectorized pandas operations for EMA crossovers, numerical methods and error analysis for implementing a square-root approximation, combinatorial reasoning for counting polygon diagonals, and state-space problem-solving for the classic water-jug reachability puzzle.

Implement EMA Crossovers and Root Solvers

Company: Squarepoint

Role: Quantitative Trader

Category: Coding & Algorithms

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates time-series data manipulation and vectorized pandas operations for EMA crossovers, numerical methods and error analysis for implementing a square-root approximation, combinatorial reasoning for counting polygon diagonals, and state-space problem-solving for the classic water-jug reachability puzzle.

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