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India markets
Nifty, sector performance, earnings, macroeconomic releases and policy updates.
Quantitative research · Options analytics · Trading technology
Make options decisions with data, not guesswork.
FinanData brings Nifty options research, volatility intelligence, market news and systematic strategy tools into one focused workspace.
Risk-first approach: Options involve substantial risk. Analytics and strategy tools do not assure profits or protect against losses.
Research desk
Nifty options intelligence
A structured view of positioning, volatility and market regime.
Illustrative dashboard · sample values only
Market snapshot
Nifty spot—Connect live data feed
India VIX—Live / delayed feed
Put-call ratio—Selected expiry
Volatility & positioning
Chart is a design placeholder, not market data. Integrate a licensed feed before publication.
What we analyse
01 · OPTIONS CHAIN
Strike-wise OI & change in OI
Call/put positioning, volume and liquidity.
02 · VOLATILITY
IV, realised volatility & skew
Volatility regime, term structure and event risk.
03 · GREEKS
Delta, Gamma, Theta & Vega
Sensitivity and exposure monitoring.
04 · STRATEGY RISK
Payoff, breakeven & stress tests
Defined-risk spreads and scenario analysis.
Newsroom
Financial news & market context
Market-moving developments, explained with context.
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Global markets
US markets, Asian markets, currencies, commodities and global central banks.
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Options event calendar
Expiry dates, RBI/Fed events, key data releases and corporate events.
News feed is a planned integration. Headlines and summaries must link to original publishers and display publication timestamps.
Systematic strategies
Algo Lab
Research, simulate and monitor rule-based options strategies.
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Strategy builder
Configure defined-risk credit spreads, iron condors and entry/exit rules.
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Backtesting engine
Test historical performance with realistic costs, slippage and execution assumptions.
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Paper trading & monitoring
Track simulated orders, P&L, Greeks, drawdown and risk limits before any live deployment.
Live order execution, broker connectivity and paid algorithm services require appropriate broker/exchange arrangements and regulatory review. This prototype does not place trades.
Risk discipline
Risk comes before returns
Position-level controls
Maximum loss, exposure limits, position sizing and predefined exit conditions.
Portfolio stress testing
Gap moves, volatility shocks, changing correlations and expiry-day scenarios.
Transparent reporting
Show realised and unrealised P&L, fees, drawdowns, methodology and data timestamps.
Proprietary track record
Capital, performance & discipline
A transparent view of FinanData's own-capital trading activity.
Promoter's own trading capital · reported performance
Own capital deployed₹1 Crore
Reported return50%+
Measurement periodLast 12 months
Brokerage treatmentDeducted
Performance disclosure: The 50%+ figure is based on information provided by the business owner and is stated as a reported return over the last 12 months after brokerage. It has not been independently audited or verified here. The treatment of taxes, statutory charges, funding costs and other expenses must be confirmed before publication as a fully net return. Past performance is not indicative of future results; losses are possible.
Maximum drawdown
To be calculated from reconciled daily equity and cash-flow records.
Worst monthly loss
To be populated from the verified monthly P&L series.
Performance methodology
To disclose capital base, deposits/withdrawals, open positions, costs and return calculation method.
About FinanData
Quantitative thinking for options markets
FinanData focuses on quantitative options research, proprietary trading with the promoter’s own capital, practical analytics and disciplined systematic workflows. The ₹1 Crore capital figure refers to own capital, not client funds managed by FinanData.
We aim to bring together market data, quantitative methods and usable tools for traders who want to understand the risk behind every strategy. FinanData’s current positioning is proprietary trading and research technology, not a claim of managing third-party client assets.
Proprietary trading capital
Own capital, clearly disclosed
FinanData has stated that it deploys ₹1 Crore of its own capital in proprietary trading. The reported 12-month return is presented separately in the Performance section and should be supported by reconciled records before public promotion.
Connect with us
Build a more informed options workflow.
For research, technology partnerships and product enquiries.