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Beeks Analytics (formerly Velocimetrics), the leading provider of intelligent, real-time business flow tracking and performance analysis solutions, today announces the release of advanced functionality that will considerably enhance its client’s abilities to improve the way in which they assess market data quality.
Access to high-quality, detailed in-stream insight is becoming essential to understand the market data inputs that drive today’s automated equity and FX trading decisions. By incorporating innovative, stream-oriented machine-learning techniques, Beeks Analytics will enable its client’s to detect and alert on market data quality issues, providing real-time actionable insights at the single instrument and field level.
Enabling trading firms to save millions of dollars every year, Beeks Analytics’ market data quality solution accurately assesses the timeliness and correctness of market data. Delivering real-time alerts, if the time between ticks or price volatility exceed normal expectations, or if the bid or offer price stops ticking, users can immediately access actionable insight to quickly and effectively determine how they can stem the flow of stale data to algorithmic trading systems. In doing so, avoiding off-market pricing or flawed trading decisions that in today’s high-speed automated environments can very quickly result in significant financial loss.
By incorporating machine-learning capabilities, Beeks Analytics’ market data quality solution adapts and rebases what “normal” looks like for the thousands of different instruments that are being assessed. For every single instrument this involves independently determining, for instance:
- How regularly the particular instrument should be ticking
- What constitutes normal price movements
- How measures vary at different times during the trading day and across days
- How “normal” behaviour changes in respect of specific market calendar events
Having learned this from observation, Beeks Analytics’ market data quality solution then detects and alerts on abnormal patterns. Furthermore, it will automatically adapt to environmental changes over time such as modifications in tick behaviour and instinctively recognise the addition of new instruments and the removal of others. Automating a time consuming and manual task, this development enables adopters to benefit from considerable savings both during the initial implementation stage and on an on-going basis.
Commenting on this development, a representative of Beeks Analytics stated:
“It’s the industry’s more innovative players that have deployed Beeks Analytics’ market data quality assessment capabilities to date, and they are now reaping the benefits. However growing regulatory, client and profitability demands are driving the need for all firms to really understand the quality of the data they are employing into trading decisions. This enhanced solution will enable a considerably wider range of firms to very quickly get up and running with a very effective means of meeting these growing requirements.”
