Tick Data vs OHLC — you're trading on 0.002% of available data

Tick Data vs OHLC — you're trading on 0.002% of available data

Daily OHLC candles compress ~86,400 seconds of market data into 4 numbers — throwing away 99.998% of information. Makes the case for tick-level and limit order book analysis over candle-based trading.

• OHLC discards 99.998% of market data • Tick-level analysis reveals hidden microstructure • Candle-based trading is information-poor

Python LOB Analysis, Market Microstructure, Tick Data Analysis, algorithmic trading

​MATH CHECK: YOU ARE TRADING ON 0.002% DATA. 📉 ​Unpopular Opinion: If you are only looking at OHLC candles, you aren't trading. You're gambling. ​The math is brutal: A single daily candle compresses ~170,000 institutional trades into just 4 numbers.(Open, High, Low, Close). ​That means you are actively ignoring 99.998% of the reality—the liquidity gaps, the hidden iceberg orders, and the real bid-ask pressure—just to draw a support line. ​🚩 The Hard Question: Is that price action really "market noise"? Or is it just data you haven't learned how to read yet? #quantfinance #algorithmictrading #python #statistics #trading quant.dhawan   24w I’m expecting heat from the Chartists on this one. 🖍️👇 ​Think about it: If a doctor ignored 170,000 symptoms and only checked 4, would you trust their…