| Purpose | Predict future market volatility to optimize position sizing, options pricing, risk management, and strategy selection |
| Core Function | Generates volatility forecasts using multiple models (historical, GARCH, implied volatility, machine learning) to anticipate market conditions and adjust trading parameters |
| India Vix Behavior | 10-25 in normal markets • 30-50+ during major events • Strong tendency to revert to 14-18 range • Often elevated pre-budget, elections, RBI policy |
| Nifty Volatility Patterns | 0.8-1.2% in normal conditions • Volatility often elevated in expiry week • First hour typically most volatile • Significant gaps due to global overnight moves |
| Bank Nifty Specifics | Typically 1.3-1.5x Nifty volatility • Spikes around RBI announcements • Thursday volatility often elevated |
| Global Events | Impacts Indian markets via global risk sentiment • Major volatility driver for India • Affects Asian sentiment • Can cause sudden volatility spikes |
| Low Vix Below 13 | Complacency, potential for spike • Consider long volatility positions • Options relatively cheap |
| Normal Vix 13 20 | Standard market conditions • Normal trading parameters • Fair value pricing |
| Elevated Vix 20 30 | Market nervous, event risk • Reduce position sizes, widen stops • Options expensive, selling risky |
| Crisis Vix Above 30 | Fear, potential capitulation • Defensive positioning • Extreme premiums, potential for crush |
| India Vix | NSE real-time, historical from NSE archives |
| Options Chain | NSE options data for IV calculation |
| Historical Prices | NSE/BSE for realized volatility |
| Global Vix | CBOE VIX for correlation analysis |
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