Kadane's algorithm has real-world applications beyond coding interviews.
Some use cases include finding the best time to buy and sell stocks, determining the best streak or combo in games, identifying periods with strong signals or low noise, spotting spending trends or profitable streaks, extracting meaningful segments from time-series data, finding periods with peak user engagement.
Examples include identifying the most profitable buy/sell period in stock trading, tracking the most beneficial continuous combo or power-up streak in games, detecting intervals with high energy or low disruptions in ECG or audio signals, finding the continuous stretch with the steepest rise or fall in temperature differences, highlighting the most profitable or loss-heavy streak in income vs. expenses tracking.
The algorithm can also be used to identify high-impact time windows for model training and analyze audience interaction streaks in social media data.