Why this exists
Indian retail traders lose money. SEBI's own data shows 90%+ of F&O traders lose money — averaging ₹1.1 lakh per year per trader. Meanwhile, FIIs and DIIs print money year after year. The gap isn't intelligence. It's information asymmetry.
Institutions see order flow, block deals, real-time delivery percentages, OI shifts. Retail traders see... candles. By the time the candle prints, the move is already half done.
DalalRadar is built on a simple bet: if you can see where the money is flowing, the rest takes care of itself.
What we do
We aggregate publicly available NSE data — delivery percentages, F&O open interest, turnover, sector movement — and run it through a proprietary 18-pattern signal engine. The engine identifies six core behaviors:
- Accumulation — when smart money quietly builds positions
- Distribution — when smart money quietly exits
- Rotation — when capital moves from one sector to another
- Momentum — when conviction builds on the buy side
- Exhaustion — when a move is running out of fuel
- Trap — when retail is being pulled in at the worst time
We visualize this as bubbles on a timeline. Size = money flowing. Color = what's happening. Pattern over time = the story. You see 3 months of institutional behavior across 208 stocks in a single glance.
We are not SEBI-registered investment advisors. We do not give buy/sell recommendations. DalalRadar is an analytics tool. What you see, and what you do with it, is entirely your decision.
What we believe
1. Data > opinions
The market doesn't care what a TV anchor thinks. It only respects money flow. We show data — not predictions, not "buy calls", not "targets". You are the analyst.
2. Visuals > tables
Numbers in spreadsheets hide patterns. Visualizations reveal them. Our bubble timeline shows what would be impossible to spot in Excel.
3. Transparency > black box
We tell you exactly how our signals are computed. Every signal has a name, a definition, and a method. Read our methodology page — it's all there.
4. Empowerment > dependence
We don't want you addicted to our signals. We want you to understand why a signal fires, so eventually you can read the raw data yourself. The best tool makes itself obsolete to your skill.
Who built this
DalalRadar was built by Surender Kumar, an engineer-turned-trader based in Dādri, Uttar Pradesh. After years of paper-trading patterns and getting burned in live markets, the realization hit: the issue was never strategy. It was visibility.
The first version of DalalRadar was a private Python script. It surfaced delivery anomalies before earnings, OI buildups before breakouts, and sector rotations before they were obvious. Trading edge went from "hope" to "process". The decision to make it public came when the same patterns started appearing reliably for friends running it.
We're a small operation. No VC money. No marketing budget. Just code, data, and the conviction that retail traders deserve professional-grade tools.
Where we're going
Three tools live today. One on the way. We ship slowly and deliberately — every feature gets tested live for weeks before release.
Live now
- Smart Money Radar — institutional intent bubbles across every F&O stock, with an 18-pattern signal engine
- Sector River — capital flow between 21 F&O sectors, rotation arrows day over day
- Market Alpha — relative-strength ranking vs Nifty, with VIX-aware position sizing cues
Coming soon
- Advanced Heatmap — sector intensity at a glance, with historical playback
On the roadmap
- Pattern Library — a "Learn" section teaching raw signal reading
- Signal alerts — end-of-day push and email pings when smart money enters or exits a watched stock
- Custom screener & API access for paid tiers
If you have ideas, tell us. We read everything.
Made in India 🇮🇳 · For Indian markets · Free during beta