Built with 2+ Years of Intensive Research

Trading Strategies Forged Through
129 Million+ Tests

Born from 7+ years of option trading experience. Every indicator questioned. Every strategy backtested. Only the proven survive.

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Million+ Combinations Tested
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Technical Indicators Researched
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ML/AI Models Evaluated
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Backtests Executed
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Unique Strategies Tested
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Thousand Code Iterations
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Project Versions
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Years Trading Experience
The Journey
From manual trading to systematic, data-driven decisions

The Problem

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.

The Obsession

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.

The Elimination

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.

The Result

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.

Research Depth
What it took to find what actually works
📊

Technical Indicators

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 Tested
🤖

ML/AI Models

XGBoost, 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 Evaluated
🔍

Strategy Discovery

Systematic 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 Tested

Multi-Timeframe Analysis

Every 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 Timeframes
💹

Option Chain Analysis

Real-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, SENSEX
🛡

Risk Management

Adaptive 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 Protection
Technology
Production-grade infrastructure built for reliability
Python 3.13
Flask
WebSocket
XGBoost
Scikit-Learn
NumPy
Pandas
SQLite
Zerodha Kite API
Proprietary Moving Average
Real-time Option Chain
VPS Deployed
SSL/HTTPS
Adaptive Market Override
Multi-Strategy Engine
Saravanan G
Algo Trader & Developer

Started 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.

7+
Years Trading
2+
Years Building
64
Versions
129M+
Combinations
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