Package your techniques into a seed package, manage it inside a silo with paired simulated and live engines, and let our AI pipeline turn it into a range of ready-to-trade models.
Every stage of the pipeline, in order — from a pip install to a funded engine.
pip install arcium-signals to package event_samplers, features, indicators, alpha_models, data_source_apis, and broker_apis into a seed package.
Push seed packages straight to a silo. Manage every silo you own from your profile.
Each silo runs a simulated engine alongside a live engine, so nothing reaches the market untested.
Load models from the database onto the simulated engine with portfolios designed through cluster analysis.
Simulate in-sample and out-of-sample results for statistical review before committing capital.
Snapshot a model and portfolio configuration into your engine hangar to reload it instantly or clone it into a new engine.
Rent models from top-tier developers, or engineer your own from seed packages.
Bring your modeling techniques in a seed package and get back a full range of tradeable models to choose from, ready to run live.
Your seed package stays yours: kept private unless you choose to publish it.
Receive many tradeable models, not a single strategy.
Choose models from conservative to aggressive to fit your mandate.
Load your selection onto an engine and run it live.
seed package → your models → your selection → live engine
Manage every silo from your profile — each with its own simulated and live engine — and move a model from first backtest to funded capital without leaving the dashboard.
Straightforward monthly pricing for infrastructure. Model pricing is set by the developers who build them.
Run a simulated + live engine pair in your silo — load models, build cluster-analysis portfolios, and go live.
Rent models built by top-tier developers. Each developer sets their own price for their model.
A silo upgraded with dedicated optimization tooling for tuning signals, portfolios, and engine configuration.
Every engine on Arcium runs on infrastructure built by people who trade — not just people who build software.
Behind every rented engine is a deployment pipeline designed for uptime, monitoring, and control. Signal quality means nothing without an execution layer you can trust in production.
Arcium provides a flexible quantitative research environment for constructing, testing, and iterating on predictive trading models.
Talk through cointegration and pairs trading directly with Elliott Hamilton, credited in Perry J. Kaufman’s Trading Systems and Methods (6th ed.) for his help with its cointegration section.
Educational discussion only. Not financial advice.
Research it, optimize it, simulate it, or rent a proven engine — the full quant workflow lives in Arcium Signals.