Everyone should be able to Trade with confidence! Quant Neeti is an advanced analytics platform designed for algorithmic traders, researchers, and financial engineers. Run risk simulations, backtest pricing strategies, and diagnose time series models.
Quant Neeti integrates five distinct modules into a unified browser-based interface, enabling rapid research without complex scripting setups.
Access live multi-asset charts, real-time statistical metrics, and run Monte Carlo simulations to model thousands of future price pathways instantly.
Engineered with industry-standard mathematical frameworks including Black-Scholes, Black '76, Cox-Ross-Rubinstein Binomial/Trinomial trees, and advanced Heston stochastic volatility models.
Measure portfolio risk using Parametric and Historical Value at Risk (VaR), Conditional VaR (CVaR), and simulate extreme stress scenarios to evaluate drawdown resilience.
โ Includes Parametric VaR, CVaR, stress testing scenarios.
Backtest custom rulesets, model portfolio expectancy curves, optimize position sizing using the Kelly Criterion, and run comprehensive performance attribution analysis.
Analyze asset co-movements and return distributions with unit root tests, ACF/PACF autocorrelation diagnostics, rolling volatility, and cointegration testing for pairs trading.
Get from data to analytical results within seconds without writing a single line of backend infrastructure code.
Enter any ticker. The smart autocomplete suggests matching companies across global exchanges (NSE, LSE, BSE, NYSE, NASDAQ) and auto-formats the symbols.
Configure drift, volatility fallback rates, option strikes, risk horizons, simulations, or mathematical steps. Interactive tooltips explain every single variable.
Analyze production-ready charts, export results, and save configurations. Settings automatically persist to your account so you can resume later.
Start with our basic free plan or upgrade for higher computational limits, stochastic models, and multi-asset tracking.
Basic testing & analysis
For retail quant researchers
For professional researchers
Everything you need to know about the platform, analytical models, and calculations.