Historical Price Data

Daily, Weekly, and Monthly Price Series: Aggregation Differences

This Python-centric guide explains how daily, weekly, and monthly price series are constructed in Indian equity markets. It details aggregation logic, data workflows, algorithms, and storage design, helping traders, analysts, and engineers understand how time-based aggregation shapes price behavior across short-, medium-, and long-term horizons.

Adjusted vs Unadjusted Prices in Indian Historical Data

Price Truth, Economic Continuity, and the Foundations of Indian Market Data In Indian equity markets, price data is not merely a time series of numbers—it is a historical record shaped by regulation, corporate decisions, and exchange mechanics. For Python developers building analytics platforms, data pipelines, or financial products, the distinction between adjusted and unadjusted prices

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Price-Based Market Data