Pico Corvil Analytics Primary Use Case

Ted Hruzd - PeerSpot reviewer
Founder at AI Fit LLC

I have utilized Pico Corvil Analytics extensively in my various roles. As an end user, I have employed it in the banking industry and as an instructor. Specifically, I was involved in level three production support and delved deep into analytics related to market data and fixed decoding. My primary responsibility was to scrutinize transactions from start to finish, identify weaknesses, and create dashboards to notify of any potential issues. Pico Corvil Analytics offers several useful features, such as regular processing and custom dashboards for different time frames, which can generate alerts when problems arise. 

To investigate and resolve any delays or irregularities, I frequently requested specific information such as the application and order number, and Pico Corvil Analytics helped me identify the root cause. Initially, I started using it for machine learning and AI, and at that time, I was ahead of Pico Corvil Analytics in that area. However, I have noticed that they have caught up now. I had a close relationship with the CTO of Pico Corvil Analytics, and I would use their data to conduct stack and time series analysis from multiple dimensions. This would involve analyzing the number of orders, cancellations, placement latency, order activity time, and maximum values, among other factors. I would then run neural networks and use an equation to help an investment bank predict when their dark pool would begin to fail, given a specific combination of dimensional inputs.

Using Coral data at an investment bank, I was able to predict fill rates for the next day's market close with an accuracy of plus or minus four percent. Moreover, I leveraged the same data to create a decision tree model that could identify factors that positively or negatively affected fill rates. Lastly, I designed an anomaly engine at an investment bank, which mainly used Pico Corvil Analytics data, but also integrated other sources, to detect anomalies in trading, such as order or application anomalies, or hardware performance issues. Interestingly, now I notice that Pico Corvil Analytics has a similar feature. At the time, while working on these projects, I did not receive any support from Pico Corvil Analytics, although I believe they may have used some of my work. Nevertheless, I appreciate and admire their product.

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SV
Director at a financial services firm with 10,001+ employees

We use it to monitor our client connectivity latencies, as perceived by the client. We have a number of clients connecting and we monitor their sessions.

The real-time analytics we use are for the electronic trading environment, the client coming into the electronic trading order flow, the buy side and the sell side. That's where we are primarily using it, but we are planning to expand it further in due course to other trading venues. Right now, most of our Corvil devices are monitoring the electronic trading environment.

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RM
Performance Engineer at a financial services firm with 1,001-5,000 employees

Monitoring our environments is our primary use case. We use it to monitor our trading platform, customer experience, troubleshooting message flow, troubleshooting message formations, as well as for capacity performance analysis, and system testing.

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KE
Works at a financial services firm with 10,001+ employees

We use it primarily for latency monitoring and capturing latency statistics.

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RP
Senior Network Engineer at a financial services firm with 501-1,000 employees

Latency analysis is our primary use case.

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reviewer1020198 - PeerSpot reviewer
Works with 10,001+ employees

We use it for checking the latency for different markets, clients, and brokers across different sites and core locations. We are using this internally within our team for measuring latency for different points, across the whole flow, within our applications.

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JS
EMEA Head of Electronic Trading App Management at a financial services firm with 10,001+ employees

We primarily use it for latency monitoring and benchmarking. We look at the geographical location of our servers and European exchanges, using this product to measure the amount of time:

  1. It takes for us to receive an order from a client.
  2. Routing the client's order to the exchange in the exchange data center.
  3. Executing on the order book.
  4. The hops all the way back to the client's execution. 

That latency allows us to establish whether or not there might be any problems with the connection, or understand if we're meeting expectations around latency benchmarks from the clients' perspective.

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FM
Network Operations at a financial services firm with 1,001-5,000 employees

We are using it mostly for order entry and FIX protocol.

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Buyer's Guide
Network Monitoring Software
March 2024
Find out what your peers are saying about PICO, NETSCOUT, Riverbed and others in Network Monitoring Software. Updated: March 2024.
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