Price-Based Market Data – Page 3

Daily vs Intraday OHLC Aggregation Methodologies

This in-depth, Python-centric guide explores how OHLC price data is accurately aggregated from raw trades across daily and intraday timeframes in Indian equity markets. It explains methodologies, data engineering workflows, and aggregation integrity, helping developers build reliable, production-grade market data pipelines without drifting into trading strategies.

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Price-Based Market Data

OHLC Price Structure in Indian Equity Trading Sessions

A deeply technical, Python-centric exploration of OHLC price structure in Indian equity markets, this guide decodes how trading sessions, auction mechanics, and quantitative measurements shape price behavior across timeframes—equipping developers and traders to build accurate, structurally sound market analysis and trading systems.

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Price-Based Market Data

LTP vs Previous Close vs Reference Price

Why Indian Market Price References Are Widely Misunderstood The three-prices problem in Indian equity analytics One of the most persistent sources of confusion in Indian stock market analysis arises from the simultaneous presence of three different price references: Last Traded Price (LTP), Previous Close, and Reference Price. Each of these prices is correct in its

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Price-Based Market Data

Last Traded Price (LTP): Definition, Calculation, and Exchange Dissemination

Last Traded Price (LTP) represents the most recent executed transaction price on an exchange, serving as a factual, immutable market data point. This article explains how NSE and BSE compute, validate, and disseminate LTP, and why precise handling of LTP is critical for reliable market data systems.

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Price-Based Market Data