Open core
self-host · free
- Full stack, MIT / Apache-licensed modules
- NautilusTrader execution engine
- Atlas, Hermes, Kairos reference pipelines
- Community support on GitHub
Backtest, optimize, and deploy — on infrastructure you own.
// open-core quant stack · NautilusTrader execution · human-gated live orders
ACT I · OVERVIEW
One pipeline. Three specialists.
Atlas researches. Hermes deliberates. Kairos executes. Every run lands in NautilusTrader — deterministic, reproducible, yours.
Backtest runtime
12ms/candle
Strategies registered
0
Asset coverage
equities / crypto / futures
ACT II · ATLAS
Research, persisted.
Scheduled research cycles produce structured views — not prose. Outputs land in a shared store, re-used by Hermes and Kairos.
Sharpe · example output
1.42
Max drawdown · example
8.6%
Gross exposure · example
74%
ACT III · HERMES
Delivery, not deliberation theatre.
Hermes translates research into allocations. Every signal is timestamped, attributed, and reviewable. Placeholder rows below.
// Example signal log — live stream requires a running Atlas instance
- T+00:00:00 mean-reversion-stat-arb · portfolio-A + rebalance
- T+00:33:34 trend-follow-futures · portfolio-A + enter
- T+01:45:52 vol-carry · portfolio-B − trim
- T+04:09:17 pairs-mean-reversion · portfolio-A + open
- T+04:50:48 breakout-swing · portfolio-C − exit
- T+05:35:01 carry-roll · portfolio-B + hold
- T+06:26:53 risk-off-overlay · all − reduce
ACT IV · KAIROS
Execution, gated.
Strategies climb a ladder — backtest, paper, loopback, live. Each rung is a human gate.
// loopback-only by default · human-gated transitions for anything consequential
ACT V · COMPOSITE
Ship it — your way.
Run DigiQuant as a service, expose it over MCP, or ship it as a Docker image inside your stack. Same pipeline. Different edges.
PRICING
Open core. Managed tier for Atlas.
The core engine is open. The managed Atlas runner — SLAs, custom strategy onboarding, ops — is how we stay in business.
Managed Atlas
contact
- Managed Atlas runner with SLA
- Custom strategy onboarding
- Priority fixes + roadmap input
- Optional on-prem deployment
Try it conversationally
Pose a quant question — DigiChat will scaffold the research, propose a backtest plan, and hand you to Kairos.
Build me a mean-reversion stat-arb on tech
Screen momentum in futures, last 90d
Compare vol-carry vs trend-follow in crypto
// DigiChat is deploying — embed coming soon
Self-host the full stack now via the GitHub repo.