The same platform. Shaped to how you operate.
DAROS is modular, so the stack looks different for a solo options trader than for a prop desk or a fintech. Find your operating model below — what you need, the specific bottlenecks we target, and which modules do the work.
Individual Traders
From a manual trading idea to a tested, broker-connected execution system.
You have an edge you trade by hand. DAROS turns it into rules, tests it against history with brokerage and slippage, wraps it in RMS limits, connects it to your broker and shows you exactly what it's doing — so the system carries the discipline, not your willpower.
WHAT THEY NEED
- Strategy automation
- Backtesting with realistic costs
- Broker-connected execution
- Risk limits on every order
- Simple, honest monitoring
BOTTLENECKS WE TARGET
Prop Desks
Control execution and risk before you scale strategies, traders and capital.
A desk is a portfolio of strategies, traders and accounts — and it fails at the seams. DAROS gives the desk one execution layer, one risk layer and one monitoring layer, so allocation, limits and interventions are decisions, not scrambles.
WHAT THEY NEED
- Multi-strategy monitoring
- Capital allocation
- Desk-level RMS
- OEMS with operator controls
- Logs and audit history
- Trader/account controls
- Portfolio exposure view
BOTTLENECKS WE TARGET
Brokers & Fintechs
Launch trading infrastructure and client-facing tools faster.
Building execution, risk and copy infrastructure from scratch takes years. DAROS modules give you the hard layers — OEMS, RMS, Connect, Copy, Monitor — so your team ships product, and DotConn customizes the stack to your brand and workflows.
WHAT THEY NEED
- Client-facing trading tools
- White-label dashboards
- Broker API workflows
- Embedded risk layers
- Copy / social trading infrastructure
- Platform modules to build on
BOTTLENECKS WE TARGET
Quant Teams
A pipeline from research to controlled, monitored deployment.
Research that can't be deployed is a report, not a strategy. DAROS gives quant teams a pipeline where the same rules that were tested are the rules that trade — with validation, RMS gates and monitoring closing the loop back to research.
WHAT THEY NEED
- Research pipeline
- Backtesting at trade-level fidelity
- Parameter testing
- Data normalization
- A defined deployment pathway
- Live monitoring against expectations
BOTTLENECKS WE TARGET
Signal Communities
Replace chaotic signal forwarding with controlled copy infrastructure.
Forwarding signals into a chat and hoping members execute well is operational chaos — and risk amplification. DAROS Copy maps member accounts, applies multipliers and per-child limits, and logs every replicated order, so the community runs like an operation.
WHAT THEY NEED
- Signal-to-execution workflows
- Copy infrastructure with mapping
- Member/account mapping
- Per-member risk limits
- Monitoring and full logs
BOTTLENECKS WE TARGET
Global Trading Businesses
Multi-market, multi-broker architecture without lock-in.
Operating across markets means operating across broker APIs, data formats and sessions. DAROS Connect normalizes venues behind one abstraction and OEMS keeps execution logic broker-agnostic — infrastructure that flexes with your footprint instead of locking you to one venue.
WHAT THEY NEED
- Multi-market readiness
- Multi-broker architecture
- Data/API abstraction
- Custom execution stack
- Operational dashboards across venues
BOTTLENECKS WE TARGET
Don't see your exact model?
Most real operations are hybrids. Describe yours and we'll map which modules matter, in what order.