Zero to Signal in 60 Seconds
Create real-time trading signals to supercharge your ML & AI models
DV definition
BTC-USD | Simple Arithmetic Mean | ordinal 10/5
"A toolkit which makes my life easier"
Quant Developer & Researcher
Nordic Hedge Fund background
"The fact that Disc is a generalised version of signal engineering in a box is an incredibly achievement"
Quant Developer & Researcher
Nordic Hedge Fund background
"Helps to deploy models sooner"
Quant Trader
Private Hedge Fund background
"Great that you can create signals so simply"
Algo trader
Tier 1 Hedge Fund Background
"Moving from manual signal research to a live pipeline in a fraction of the time"
Quant Developer
Tier 2 Hedge Fund background
"A toolkit which makes my life easier"
Quant Developer & Researcher
Nordic Hedge Fund background
"The fact that Disc is a generalised version of signal engineering in a box is an incredibly achievement"
Quant Developer & Researcher
Nordic Hedge Fund background
"Helps to deploy models sooner"
Quant Trader
Private Hedge Fund background
"Great that you can create signals so simply"
Algo trader
Tier 1 Hedge Fund Background
"Moving from manual signal research to a live pipeline in a fraction of the time"
Quant Developer
Tier 2 Hedge Fund background
How it Works
Disc augments your existing AI & ML engineering cycle to reduce development time and cost so you can focus on winning strategies
How Disc Works
Using closed real-time feedback loops, Disc takes the time and effort out of signal creation and model tuning, complete with custom, on-demand webhooks and websockets to optimise strategy performance.
Current Data Science Workflow
Disc simplifies and automates incumbent manual operations reducing time to testing and eliminating manual tuning. It does not require you change any of your existing development and engineering workflows.
Stream Catalogue
Build real-time calculations to derive alpha-generating signals from a variety of real-time data feeds
Granular Control
Disc lets you create explicit, stream-based calculations in sliding-window format and custom timeframes with real-time data as the focus
Equities
Define any form of mathematical calculation based on live data feeds and evaluate them in real time
Custom APIs
Whatever you create in Disc can be consumed programmatically via secure real-time API endpoints
Alternative
Disc also caters for alternative data feeds in addition to a "bring your own data" enterprise architecture
Signal Flow
Follow the route from raw market streams to dynamic variables, passive and active signals, scoring, and execution-ready intent.
01Raw streams become the source timeline
Trades, quotes, filings, news, and proprietary streams arrive as ordered events before any model logic touches them.
Pricing
Disc lets you create explicit, stream-based calculations in sliding-window format and custom timeframes with real-time data as the focus
- 500 CUactive at once
- 10 dynamic variableslive at once
- 5 passive signalslive at once
- 1 maximum concurrent WebSocket connectionsopen at once
- 1 maximum signals per WebSocket connectionsper connection
- 2500 CUactive at once
- 50 dynamic variableslive at once
- 25 passive signalslive at once
- 3 maximum concurrent WebSocket connectionsopen at once
- 5 maximum signals per WebSocket connectionsper connection
- 5000 CUactive at once
- 100 dynamic variableslive at once
- 50 passive signalslive at once
- 5 maximum concurrent WebSocket connectionsopen at once
- 10 maximum signals per WebSocket connectionsper connection