Quantitative Indian Index Trading
Data-driven algorithmic strategies built on mathematical indicators — no guesswork, only proven rules.
| Aspect | Human Trading | Quantitative Trading |
|---|---|---|
| Decision Making | Gut feeling & emotions | Mathematical rules & data |
| Emotions | Fear & greed drive exits/entries | Zero emotion — rules execute as coded |
| Speed | Seconds to minutes per decision | Milliseconds — instant reaction |
| Consistency | Varies daily with mood & fatigue | Same rules, every single trade |
| Backtesting | Can't test “feelings” on past data | 129M+ combinations tested on 11+ years |
| Risk Management | Often ignored under pressure | Hard-coded stop-loss & daily limits |
| Screen Time | 6+ hours glued to charts daily | Runs 24/7 on server — check anytime |
| Multiple Indices | Hard to track 3+ indices at once | NIFTY + BANKNIFTY + SENSEX simultaneously |
| Overnight Bias | News & social media cause panic | Only reacts to price & indicators |
| Revenge Trading | Common after losses — doubles down | Daily loss limit hit → stops trading |
| Scalability | One person, one screen, limited | Add more strategies & indices easily |
| Long-term Edge | 90% of retail traders lose money | Proven rules with statistical edge |
After 7+ years of manual trading, the reality was clear — consistent profit was impossible. At one point, every single day was a loss. The market isn't random chaos, but it's designed like a double-edged blade — sharp on both sides. Index options punish hesitation and reward discipline, but human psychology works against us. We get trapped by noise, react to panic, revenge-trade after losses, and override our own rules. The only way forward was to remove the human from the equation.
No manual entries allowed — ever. Only manual exit is permitted to keep the system pure quantitative. Every entry and every exit is indicator-driven. No overrides, no exceptions, no “just this once.”
The system never enters or exits on panic spikes or aggressive market movements. These are the #1 loss-making events in manual trading — our algorithms simply ignore them and wait for confirmed indicator signals only.
Multiple timeframes with different indicators, each with its own custom configuration — tracked and evaluated every single second. Not random indicators; each one is fully backtested with optimized settings preserved across 10+ years of historical data.
Our primary strategy uses pure indicator-based exits — no fixed stop-loss that gets hunted by market noise. Supporting strategies use adaptive trailing stops to protect against option premium decay. Every exit is systematic, never panic-driven.
Every indicator period, phase, and power setting is custom-tuned — not textbook defaults. All parameters are backtested and optimized across 10+ years of NIFTY/BANKNIFTY/SENSEX historical data through 129M+ test combinations.
This system has survived every major market event in the last decade of backtesting — COVID crash, budget days, election results, RBI surprises, global crises. The rules held. The edge survived.
Most trading systems claim 70%+ win rate. Here's what they don't tell you — to achieve that, the take-profit is kept tiny and the stop-loss is kept too large. So the 30% of losing trades wipe out all the gains from the 70% winners.
The reality of a genuinely profitable system: 25–40% win rate. 60–80% of trades will be losses — because we take every opportunity the market offers. But when we win, the winners are significantly larger than the losers. That's the real edge. Risk-reward matters, not win rate.
Not every day, week, or month will be green — and that's by design. Market noise exists at every timeframe and every indicator. It arrives like an unwelcome guest, always. But by following quantitative procedures and never reacting to noise, the edge compounds over time. Patience is the strategy. The system trades on real movements only.
The market never repeats the same pattern. No timeframe, no indicator is free from noise. Index options are designed like a double-edged blade — you must learn to hold it without getting cut. That's not easy, and it's not something manual trading can consistently achieve. The only sustainable approach is systematic, rule-based, emotionless execution — and that is exactly what SARVIS ALGO does.
Think of this system as an autonomous driver on a highway with a strict speed limit. It doesn't race. It doesn't swerve. It doesn't chase. It watches every signal, every second — across multiple timeframes and indicators — and acts only when conditions are right. No adrenaline, no excitement, no heroic trades. Just calm, calculated, rule-bound execution that compounds over time. Boring is profitable.
Disclaimer: Past backtested performance does not guarantee future results. Trading in index options involves substantial risk of capital loss. All strategies and returns mentioned are based on historical backtests and simulations. Actual trading results may vary due to market conditions, slippage, and execution differences. Please consult a SEBI-registered investment advisor before making trading decisions.
After 7 years of manual option trading, one truth became clear: emotions destroy profits. The same patterns that worked on paper fell apart under live pressure. The market needed a system, not a person.
Over 2+ years, every known technical indicator was tested. Not just applied, but dissected across multiple timeframes, market regimes, and volatility conditions. 186 indicators. 12 timeframes. 129 million combinations.
Most strategies fail in live markets. Through 3,680+ backtests and 933 unique strategy variations, the weak were eliminated. Only strategies that survived across trending, ranging, and volatile regimes made the cut.
What remains is not a single strategy, but a multi-strategy system that adapts to market conditions. Custom indicator-based signals, spread strategies, adaptive risk management, and real-time market regime detection working together.
EMA, SMA, Proprietary MA, RSI, MACD, ADX, Bollinger, SuperTrend, VWAP, ATR, Ichimoku, Heikin Ashi, KAMA, ZLEMA, TEMA, HMA, ALMA, CCI, Stochastic, Williams %R, Donchian, Keltner, Pivot Points, and more.
186 Indicators TestedXGBoost, Random Forest, LSTM, Gradient Boosting, Neural Networks, Deep Reinforcement Learning (PPO, DQN, A2C), CatBoost, LightGBM, SVM, KNN, Decision Trees, AdaBoost, and Logistic Regression.
22 Model Types EvaluatedSystematic strategy hunting across trend following, mean reversion, momentum, breakout, scalping, swing trading, OI analysis, PCR, IV surface modeling, VIX regime detection, and gap trading approaches.
933 Strategies TestedEvery indicator tested across 5-second, 15-second, 1-minute, 2-minute, 3-minute, 5-minute, 15-minute, 30-minute, 1-hour, 2-hour, 3-hour, and daily timeframes.
12 TimeframesReal-time option chain EMA tracking, IV skew analysis, OI-based entry/exit, spread strategies (debit spreads), premium decay modeling, and synthetic option pricing for backtesting.
NIFTY, BANKNIFTY, SENSEXAdaptive stop loss, trailing stop loss, premium-based exits, time-based exits, VIX regime sizing, conviction decay engine, and smart cooldown periods. No single trade can break the system.
Multi-Layer ProtectionStarted trading options in 2019. Spent years learning what doesn't work before building what does. Every line of SARVIS ALGO is written from real market experience, not theory.
The goal was never to build the most complex system. It was to build one that survives real markets, real slippage, and real emotions.