Historical data forms the bedrock of informed trading strategies, offering critical insights into market trends, price movements, and execution quality. However, many firms struggle to integrate historical data effectively at the point of execution. The underlying issues of rising costs, fragmented sources, and inconsistent data quality persist.
Because market sophistication has increased dramatically, market participants demand more from the data they consume. In today’s quant-driven, algorithmic trading environment, data quality is paramount. Packet losses, gaps, spikes, and missing fields cost time, resources, and money. Poor data quality can lead to lost execution alpha, service failures, and even regulatory fines.
Quants need high quality data that is engineered and ready to use. BMLL provides that.
The emerging generation of traders has a variety of skills, from quantitative, mathematician, data scientist to engineer. Consigning them to spend 80% of their day cleaning and organising poor-quality historical data is a waste of time and money, but for most firms, there has been no choice – until now.
As a historical Level 3 data specialist, BMLL delivers the most granular high quality Level 1, 2 & 3 data to a wide range of capital markets firms.
In an environment where every market participant can access up-to-the minute information, the true differentiator is the ability to harness historical data to forecast trends, optimise algorithms, and refine execution strategies.
The mission-critical importance of high quality historical data, available via flexible delivery mechanisms, to achieve better trading outcomes has never been greater. In an increasingly quantitative and algorithmically driven market, best-in class quality data is required.
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