Quantitative Research,
Made Open
Free, transparent analytics for Indian equities, crypto, and ETFs — model-driven signals, institutional activity, regime maps, and Sharia screening. Built for self-directed investors who want to see the data before they decide.
Quantitative Research Platform for Indian Markets
Ansaar provides free, transparent quantitative research for Indian equities, crypto, and ETF markets. The platform offers model-driven signals, institutional activity views, market regime classification, and Sharia-compliance screening for self-directed investors.
- Quantitative signals across 2,000+ NSE stocks
- ML-ranked crypto pairs with model scores
- Institutional activity — aggregate large-position changes
- Market regime classification with the indicators behind the call
- Sector rotation and capital flow analytics
- Halal / Sharia-compliance status across assets
- ETF data and analytics
See the Platform in Action
Watch how self-directed investors use Ansaar to research opportunities, study institutional activity, and form their own data-driven views.
- ✓Screen 2,000+ NSE stocks with quantitative filters
- ✓Study aggregate institutional activity over time
- ✓Identify the current market regime with transparent indicators
- ✓ML-ranked crypto pairs with model scores
Core Features
Open quantitative tools for self-directed investors who want a transparent view of Indian equities and crypto markets.
Quantitative Signals
Multi-horizon ML scores for 2,000+ NSE stocks. Each score is paired with a data-quality flag and a model-confidence band.
Institutional Activity
Aggregate views of large block trades, F&O positioning, and FII/DII flow. See when concentration shifts at the institutional level.
Market Regime
Bull, bear, or sideways? Regime classification with the indicators behind the call so you can frame your own approach.
Sector Rotation
Track capital flow between sectors with momentum and mean-reversion lenses. Spot rotations as they form.
ML Rankings — Crypto
Daily ML-ranked crypto pairs with model score, volatility band, and a liquidity flag.
Halal Screening
Aggregated Sharia-compliance status across all assets, sourced from third-party trackers (see disclaimer).
How the Models Work
Built on Robert Carver's "Systematic Trading" methodology. The signal pipeline blends independent components, each scaled and combined transparently — not a black box.
- EWMAC — Trend via EMA crossovers
- Breakout — Donchian channel extremes
- Value — Sector-relative earnings yield Z-score
- Sector Momentum — Capital rotation across sectors
- Institutional Activity — Aggregate large-position changes
Component scores are normalised to a -20 to +20 range, blended via a Forecast Diversification Multiplier, and surfaced with data-quality and confidence flags. All numbers are descriptive — they are not investment advice.
About Ansaar
Our Mission
Open up the kind of quantitative research that used to be locked inside institutional desks. Free, transparent, and built so anyone willing to read the data can use it.
Our Approach
Multiple data sources — F&O activity, institutional trades, sector flows, fundamentals — combined with ML models that show their workings. Every metric carries a data-quality flag and a confidence band.
Our Commitment
Sharia-compliance status is aggregated across all features from third-party trackers. We make the source obvious so you can verify it yourself.
Important Disclaimer
Ansaar publishes quantitative research for educational purposes only. All model outputs, indicators, and allocations shown on this platform are for research and informational use — they are not investment advice and do not constitute a recommendation to buy or sell any security. Ansaar is not a SEBI-registered investment advisor. Past model performance does not guarantee future results. Always conduct your own research before making any financial decision.