Remove Algorithm Remove Analysis Remove Loss
article thumbnail

DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

If your trade analysis and trials are a pain in the neck or you barely register any results, you’ll undoubtedly be looking for ways to change things up. Using the DirectX analytics interface can enable you to pick out important trading insights and points, which simplifies algorithmic trading.

Algorithm 363
article thumbnail

How Genetic Algorithms and Machine Learning Apply to Investments

Smart Data Collective

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. Perform quantitative analysis. Genetic algorithm use case. Well, it doesn’t need to be that difficult.

Algorithm 331
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Expert Insights on Using Financial Analytics with Algorithmic Trading

Smart Data Collective

They have been a successful algorithmic trader for the past 17 months. This trader never imagined that their life would be completely transformed by becoming an algorithmic trader. What is algorithmic trading and what role does data analytics play? This automated trading with rule-based trading bots is algorithmic trading.

Algorithm 263
article thumbnail

What is predictive analytics? Transforming data into future insights

CIO

DC Water drives down water loss The District of Columbia Water and Sewer Authority (DC Water) is using predictive analytics to drive down water loss in its system. Algorithms are generally designed to solve a specific business problem or series of problems, enhance an existing algorithm, or supply some type of unique capability.

article thumbnail

Four challenges with ERP vendor-led AI roadmaps and how to solve them

CIO

Challenge 2: Leaving on-premises data behind For AI algorithms to be successful, they need a massive amount of historical data to draw from. Remember the garbage in, garbage out adage: The more clean data available to an AI algorithm, the more predictive and fine-tuned the results will be.

article thumbnail

AI Technology is Essential for Online Fraud Prevention

Smart Data Collective

This dedicated squad operates entirely in the online world, building algorithms that make online purchases safe and limited the losses that can come through fraud. It’s not just about preventing losses, though. Fraud teams using big data analysis are now able to consistently upgrade payment gateways.

article thumbnail

After the cookie crumbles – what comes next?

CIO

From new Google and Facebook algorithms to GDPR, every so often a seismic change happens which can catch businesses on the backfoot. The impending loss of third party cookies is potentially one of those changes. But there are solutions out there to mitigate this loss if action is taken now. A vital tool for business.

Profiling 370