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Trading Analysis and Prototyping
What do you like best about the product?
Ease of use.
Analysis is simple, fast and easy to share.
Analysis is simple, fast and easy to share.
What do you dislike about the product?
Some simple features not available especially related to IPC
What problems is the product solving and how is that benefiting you?
Post and pre trade analysis
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Elegant, reliable and super fast
What do you like best about the product?
KX makes light work of intricate time series transformations on vast amounts of data.
What do you dislike about the product?
This is an area currently at the forefront of focus for KX, with the recent release of PyKx.
But making an easy interface to the rich ocean of data vizualization / ML libraries etc in Python is something I've been excited about for a while.
But making an easy interface to the rich ocean of data vizualization / ML libraries etc in Python is something I've been excited about for a while.
What problems is the product solving and how is that benefiting you?
I work with the biggest dataset on the street, namely the US Equity Options market data feeds, both via OPRA and direct exchange feeds.
There is no other way that my team could perform our data ingestion, derived analytics and overnight calibration in sufficient time if we did not have KX.
There is no other way that my team could perform our data ingestion, derived analytics and overnight calibration in sufficient time if we did not have KX.
Kx in the cloud is unstoppable
What do you like best about the product?
Kx is the most performant analytical platform for timeseries and vector analytics. The AWS native integrations take Kx to the next level, and is already transforming how financial services organizations identify alpha in real-time, thanks to unlimited calculation performance in the cloud. The new AWS FinSpace managed Kdb will be a game changer as it takes the hassle out of running kdb and lets banks go straight to utilizing its power.
What do you dislike about the product?
None, now that it is managed in the cloud.
What problems is the product solving and how is that benefiting you?
Equity and FX alpha
Have been a business sponsor of KX for over 20 years using to support many businesses
What do you like best about the product?
Fundamentally KX core value was always about speed and efficiency. In the early days they didnt have many user tooling so you needed to find experts that were few and far between but at the end of the day the performance was differentiating and still is. Their focus on speed and minimising space for data is still their edge. They have evolved their tooling to make adoption easier but their underlying power is still their strength.
What do you dislike about the product?
It really depends on your perspective. It takes more effort than simpler languages to get things up and running. but if your target is scalable and you want a strong foundation like anything you have to put the effort in. From my perspective there are no dislikes other than the community is still perhaps too small
What problems is the product solving and how is that benefiting you?
processing massive amounts of real-time data, processing and deriving real time insights.
Journey with KX
What do you like best about the product?
What I like the most is performance and productivity
What do you dislike about the product?
I feel that products on top microservices might be easier to use.
All libraries can be more customizable if they can be viewed as white boxes vs black boxes
All libraries can be more customizable if they can be viewed as white boxes vs black boxes
What problems is the product solving and how is that benefiting you?
Analyzing vast volumes of data in real-time as well as historically
Wall Street's secret is out
What do you like best about the product?
KX is a beautiful solution for running analytics on large data sets, particularly when time series is involved. Its structure leads to elegant code and small systems that are easy to maintain and cheap to run while delivering performance orders of magnitude better than the competition.
After 20+ years of dominating electronic trading analytics on Wall Street, its latest version with Python integration and cloud interoperability leaves it ideally placed to capitalise on growing data analytics needs in other areas, notably Artificial Intelligence.
After 20+ years of dominating electronic trading analytics on Wall Street, its latest version with Python integration and cloud interoperability leaves it ideally placed to capitalise on growing data analytics needs in other areas, notably Artificial Intelligence.
What do you dislike about the product?
People often say it's difficult to learn, but the reality is that the analytics it supports would be far more difficult to achieve using other "easy" languages and data stores.
What problems is the product solving and how is that benefiting you?
Electronic Trading
Market Making
Client Profitability
Trading Analtics
TIC Data Analytics
Market Abuse Surveillance
Market Making
Client Profitability
Trading Analtics
TIC Data Analytics
Market Abuse Surveillance
My preferred database for timeseries data management, querying and high speed manipulations
What do you like best about the product?
- Incredibly performant data querying allows rapid turnaround times
- Very powerful inbuilt join capabilities - asof and window joins in particular
- Both realtime and historical capabilities
- Very powerful inbuilt join capabilities - asof and window joins in particular
- Both realtime and historical capabilities
What do you dislike about the product?
It can be difficult to find what you need in the documentation
What problems is the product solving and how is that benefiting you?
We use KX software for our timeseries data and their rich query langaguge powers most of our in-house built data quality, data cleansing and data enrichment layers. It is the only software that I have full confidence in for handling our data volumes and also executing our loading and enrichment workloads at high speed and scale.
After using KX, it's hard to go back to anything else
What do you like best about the product?
Kx has an extremely minimal language, and though it looks foreign at first it is actually quite simple and barebones. This simplicity allows you to work on the essential complexity of your problem instead of the incidental complexity added by the tools.
Having used many of the popular alternatives, databricks/clickhouse/hadoop/pandas/polars none achieve the simplicity and elegance provided by this platform.
Having used many of the popular alternatives, databricks/clickhouse/hadoop/pandas/polars none achieve the simplicity and elegance provided by this platform.
What do you dislike about the product?
Kx is a proprietary product this prevents mass adoption. This makes integrating with other tools harder.
Recent releases of pykx and pgwire have made massive strides towards integrating with the larger ecosystem.
Recent releases of pykx and pgwire have made massive strides towards integrating with the larger ecosystem.
What problems is the product solving and how is that benefiting you?
Kx allows us to see real-time trends in a client-facing business. Also, when debugging large datasets, nothing beats q for slicing and dicing the data.
Excellent performance and productivity
What do you like best about the product?
It's a very powerful, flexible and high performance system. It's really a programming language which also has a database, which brings a great deal of flexibility. The language, q, provides very succinct ways of expressing relatively complex operations.
There aren't many systems that provide capabilties to operate on all of streaming, in-memory and storage backed data.
The community of developers is small, but accessible and helpful.
There aren't many systems that provide capabilties to operate on all of streaming, in-memory and storage backed data.
The community of developers is small, but accessible and helpful.
What do you dislike about the product?
The programming language, q, can be a double edged sword- there is a (sometimes overstated) learning curve. The learning curve is related to both the syntax and the mindshift change required when coming to a vector language from a more traditional programming background. The upside though is the expressiveness and productivity achieved when the curve is overcome.
The standard tooling is limited- you end up building a lot which you don't have to with other systems, but then because people like the language and system they sometimes end up buliding too much which would be better done in other ways.
The standard tooling is limited- you end up building a lot which you don't have to with other systems, but then because people like the language and system they sometimes end up buliding too much which would be better done in other ways.
What problems is the product solving and how is that benefiting you?
All the problems associated with time series data storage, management and analysis.
Very powerful and fast database technology
What do you like best about the product?
Highly efficient vector-based database technology to store large volumes of data and its super fast query performance. With its built-in q language, complex logic can be written with just a few lines of code!
What do you dislike about the product?
Users can get intimated by the learning curve of Q. However, with the recent offerings, especially open-source PyKx, interface with this database seem fairly easy.
What problems is the product solving and how is that benefiting you?
To build multi-asset Trading analytics platform
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