Market intelligence for better pre-trade decisions.
DAROS Intel gives strategies and operators market context — scanners, option-chain analytics, volatility filters and regime detection — so systems trade in conditions they were built for.
A strategy built for calm, range-bound sessions will happily keep firing into a trending, high-volatility open — unless something tells it not to. DAROS Intel attaches market context to execution: regime, volatility and signal-quality filters that hold strategies out of conditions they were not built for.
What breaks without it
These are the failure patterns DAROS Intel is built to remove:
- Strategies running in unsuitable market conditions
- No market context attached to execution decisions
- Poor trade selection from unranked opportunity sets
- Manual scanning overload across hundreds of symbols
- No structured pre-trade decision support
Built for
- Options traders working Indian F&O
- Systematic traders adding regime awareness
- Desks needing shared morning context
- Teams building scanner-driven workflows
Spec sheet & configuration
Where this module sits in the pipeline, what it handles, and what its configuration looks like. Figures marked as design targets are benchmarked per deployment.
| SCAN REFRESH | Intraday · configurable per universe and rule set |
| COVERAGE | Indian equities & F&O first · designed to extend to global equities, forex, crypto |
| ANALYTICS | OI change · IV behavior · strike activity · breadth · regime classification |
| GATING | Regime and volatility filters wired into RMS / OEMS decisions |
| OUTPUTS | Ranked watchlists · signal scores · context dashboards |
Values are design targets and depend on deployment environment, broker APIs and data sources. Nothing here is a performance or return claim.
{
"strategy": "mr-range-04",
"allow_regimes": ["range_bound", "low_vol"],
"block_when": {
"iv_percentile": "> 80",
"breadth": "one_sided"
},
"signal_score_min": 0.65,
"on_hold": ["log", "show:monitor"] // holds visible, never silent
}What DAROS Intel does
Stock scanners
Rule-based scans across universes, refreshed intraday.
Option-chain analysis
OI shifts, IV behavior and strike-level activity views.
Volatility filters
Gate strategies by realized and implied volatility conditions.
Regime detection
Classify trend, range and stress regimes systematically.
Trend / context analysis
Higher-timeframe context for lower-timeframe execution.
Breadth indicators
Participation measures across an index or universe.
Watchlist intelligence
Ranked, annotated watchlists instead of raw symbol dumps.
Signal quality filters
Score and filter signals before they reach OEMS.
Indian market workflows
Built around NSE/BSE-style equities and F&O workflows.
Global-market workflows
Designed to extend to global equities, forex and crypto contexts.
How it runs in practice
Regime-gated strategy
Intel classifies the session as high-volatility → a mean-reversion strategy configured for calm regimes is automatically held → the hold is logged and visible.
Option-chain morning prep
Scanners surface strikes with unusual OI change and IV movement → a ranked watchlist is ready before open → operators start with context, not noise.
Signal quality gate
Raw strategy signals are scored against volatility and breadth filters → only signals above threshold route to OEMS.
How it connects with other DAROS modules
No module runs alone. DAROS Intel plugs into the rest of the platform:
All modules:
Scope your scanner and regime workflows.
Tell us your universe, your timeframes and what ‘bad conditions’ look like for your strategies. We will design the filters and scoring.