KX

As the 2024 U.S. presidential election approaches, we wanted to take a moment to highlight the work that goes on “behind the scenes” to prepare for stock market volatility. These preparations don’t just occur every four years, but ahead of every high-impact, market moving event. Eoin Roche, SVP and Head of Technical Account Management at KX, delves into the challenges businesses face in managing surging data volumes and shares how KX empowers its customers to stay resilient and responsive during these critical periods. #ElectionDay #Election2024 #MarketVolatility #RealTimeData #DataInfrastructure #FinTech

Capital markets are more competitive than ever, with quant researchers and analysts climbing the same mountain to find new ways of generating alpha 🧗 In a recent blog, Senior Pre-Sales Engineer Alex Weinrich reveals how high-performance data analytics is giving leading firms a competitive edge. He also breaks down the must-have features of any advanced analytics platform, including: 🔹Real-time processing 🔹Time-series support 🔹Comprehensive data integration 🔹AI and machine learning  Want to stay ahead of the curve? Click on the link in the comments to check out the full blog! #CapitalMarkets #DataAnalytics #QuantResearch #AI #Fintech #AlphaGeneration #RealTimeData 

The latest KX Pulse is ready for you! Enjoy a fresh set of AI and data analytics insights, with stories on: 📈 Generating alpha with high-performance analytics ⚡️ How kdb+ supercharges quant research 🤖 Building an AI-ready data culture 🧐 Putting AI and data ethics into practice Enjoy ☕

Join us for the hottest meetup in Hong Kong this fall! KX's Hong Kong Meetup promises to be a night to remember with fascinating technical talks, networking, food, and drinks! Come learn about building out real-time and historical database architectures in Python, forecasting time series patterns with similarity search, and a special presentation by ExeQutionAnalytics! Sign up below!

Analytic development just got easier with PyKX! 🚀 When using PyKX to create functions and analytics, developers can leverage several different feature APIs that harness the power of q. In this blog, Jack Kiernan explores how data can be queried and transformed using both the qSQL and SQL PyKX APIs as well as native q functions applied using the context interface and Pandas-like API. To demonstrate, he walks through the development of an analytic regularly used across capital markets, a calculation of slippage. Read the full blog and start transforming your Python workflows today: https://lnkd.in/ehjGw3Pj #Python #Analytics #DataScience #RealTime #PyKX #Kdb+ #KX

Want to get started with kdb/q and don't know where to begin? #KXpert Alexander Unterrainer has prepared a comprehensive study plan worth checking out!

High-dimensional embeddings are a challenge for developers working in large-scale AI search, demanding massive storage and computational resources. But according to AI Developer Advocate Michael Ryaboy, the game is changing! In his latest blog, Michael explores how Matryoshka Representation Learning (MRL) and the new jina-embedding-v3 model are revolutionizing AI search. You’ll discover: 🔍 How MRL minimizes the computational load of high-dimensional data 🚀 The impact of jina-embedding-v3 on AI search capabilities 💡 Practical use cases that demonstrate the power of these advancements Read the full blog: https://lnkd.in/erQVYYuq #KX #AI #DataScience #EmbeddingModels #MRL #AIsearch #AIDevelopment #TechAdvancements

In case you missed it, our CEO Ashok Reddy took part in a webinar hosted by NVIDIA where he discussed the transformative impact of next-gen analytics and AI on capital markets. ⚡ During the discussion, Ashok explains how the integration of KX and NVIDIA technologies ensures efficient and sustainable AI solutions.  🚀 By optimizing CPU GPU usage, combined with the processing efficiency of KX, overall memory and energy consumption is vastly reduced, enabling faster AI model training and deployment. Watch the full webinar here: https://lnkd.in/d2v_-sCp #DataAnalytics #DataProcessing #EnergyConsumption #TimeSeriesData #kdb+ #CapMarkets️

Quantitative research depends on systems that can handle large data volumes and complex analyses, providing essential insights for effective trading strategies in modern markets. In her latest blog post, KX Developer Advocate Michaela Woods outlines how kdb+ is enhancing quantitative research by tackling complex challenges, including: 🔄 Implementing and analyzing pairs trading strategies 📊 Leveraging trend indicators, like MACD, RSI and Bollinger Bands 📉 Analyzing market depth data 💰 Performing transaction cost analysis (TCA) Want to learn more? Explore all seven ways kdb+ is driving innovation in quantitative research in the full blog: https://lnkd.in/ea_sKCJ6 #KX #kdb+ #QuantitativeData #DataProcessing #QuantResearch

Last month, the KX community gathered in NYC for the latest KX meetup, where we previewed the latest in PyKX, dashboards, and AI anomaly detection. To kickoff the evening, our CEO Ashok Reddy took attendees on a journey through the past, present, and future of KX, outlining how we've expanded our mission to power the enterprise AI factory by: 🔗 Merging big and fast time-series data 🕒 Uniting real-time and historical data 🧩 Integrating structured and unstructured vector data 🤖 Combining traditional AI with generative AI ☁️ Scaling edge-to-cloud deployments across industries Want to hear more? Watch the full presentation here: https://lnkd.in/d7_qvjgi #AIEnterprise #TimeSeriesData #PyKX #kdb+ #kdb #GenerativeAI #TraditionalAI