start machine learning immediately

Users access SliceMatrix-IO(beta) via Python SDK which is designed to get users up and running fast with a few lines of code.  

Users access SliceMatrix-IO(beta) via Python SDK which is designed to get users up and running fast with a few lines of code.

 

Watch short videos on how to build Intelligent Trading Models

 
 

a machine learning ecosystem

SliceMatrix is the next generation in machine intelligence Platform as a Service (PaaS). SliceMatrix delivers an end-to-end machine intelligence solutions to end-users so that they can seamlessly develop machine intelligent applications and systems.

build an anomaly detection model with a few lines of python code

process multiple datasets simultaneously

 
 

build powerful machine intelligent applications with SliceMatrix-IO models

 
 

scale with cost effective pricing

 

SliceMatrix-IO(beta) product and pricing options, offer the flexibility to effectively manage your costs and still scale as your business requires. With SliceMatrix-IO(beta), you can easily right size your services.

 

Real-World price Calculation + Anomaly Detector + trading model

Suppose you want to use SliceMatrix-IO's suite of anomaly detection algorithms to monitor a list of stocks in real time. How many stock symbols could you follow?

Let's assume you have the Neo Matrix usage plan, i.e. 5,000 calls a month.
You want your program to calculate an anomaly score for each symbol every hour during the trading day, let's say 8am to 5pm to pick up pre-market and after-hours activity!

That means we're making 1 call to the anomaly detectors "score" method every hour for 9 hours a day, i.e. 9 calls per stock per day.

Monthly Calculation:
Assuming there are 20 trading days in a month that adds up to 180 calls per stock.

5k / 180 = ~ 27.78

That means you could monitor approximately 27 stock symbols in realtime for only $25 / month. Furthermore, you don't have to set up any additional infrastructure to train and run machine learning models in real-time!