Yes, algorithmic trading systems can use limit buy orders very effectively, often outperforming manual trading strategies. These systems rely on pre-programmed rules to execute trades at optimal prices while minimising market impact. By using limit buy orders, algorithms can:

Improve Execution Prices – Instead of buying at the current market price (which may be inflated), algorithms place limit orders at desired levels, ensuring better entry points.

Reduce Slippage – High-frequency trading (HFT) and arbitrage algorithms use limit orders to avoid unfavourable price movements during execution.

Enhance Liquidity Provision – Market-making algorithms continuously place limit orders to profit from bid-ask spreads while contributing to market liquidity.

Exploit Short-Term Inefficiencies – Statistical arbitrage and mean-reversion strategies rely on limit orders to capitalise on temporary price deviations.

Manage Large Orders – Algorithms like TWAP (Time-Weighted Average Price) and VWAP (Volume-Weighted Average Price) split large orders into smaller limit buys to avoid price spikes.

However, algorithmic trading with limit orders requires low-latency infrastructure, real-time data, and robust risk controls to prevent execution failures or adverse selection. When optimised correctly, algorithmic systems can maximise efficiency, reduce costs, and increase profitability using limit buy orders.