Intraday prices reveal more than direction—they expose how fiercely value is contested. This article explains the intraday high–low range as a pure measure of price dispersion, grounded in market microstructure and data integrity. Learn how to measure, interpret, and scale dispersion analysis using disciplined Python workflows.
Intraday High–Low Range as a Price Dispersion Metric Read More »
Price-Based Market Data
Price gaps in Indian equities are not chart anomalies but structural outcomes of auction-based price discovery and overnight information flow. This article presents a rigorous, Python-driven framework to classify, normalize, and analyze gaps using exchange-consistent logic, transforming visual discontinuities into statistically meaningful market-structure insights.
Price Gaps in Indian Equities: Data Classification and Measurement Read More »
Price-Based Market Data
VWAP is not merely a trading indicator but a rigorously defined market data construct shaped by session boundaries, volume distribution, and aggregation logic. This Python-centric guide explains how session-based and full-day VWAP differ on the NSE, emphasizing data integrity, microstructure, and scalable computation over tactical interpretation.
Session-Based VWAP vs Full-Day VWAP in NSE Trading Read More »
Price-Based Market Data