Algorithmic trading has ushered paradigm shift in trading. The market regulators although welcome this new technological advancement but are still keeping a tight leash. This can be owing to the contradicting and inconclusive evidence of its implications and impact on market microstructure. This study focuses on liquidity which is an integral part of a thriving stock market. We aim to examine if there is a statistical significance between volume of algorithmic orders and market capitalization. The liquidity provision is measured using Amihud’s Illiquidity measure which is a proxy for measuring illiquidity. The liquidity measure is examined for chosen 8 stocks based on their market capitalization. The volume of algorithmic orders is examined using the Limit Order Book (LOB) data obtained from the BSE and orders for 23 trading days have been considered. We observe that large capitalization stocks display higher liquidity and algorithmic traders are able to contribute significantly to liquidity when compared to non-algorithmic traders. It was also looked at if there was a big difference in the amount of algorithmic trading done on stocks with big and small capitalization.