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EliteAlgo – Algorithmic Trading & Quantitative Research Company EliteAlgo is an India-focused algorithmic trading and quantitative research company specialising in automated trading solutions for the Indian stock market, particularly NIFTY and SENSEX options. The company focuses on developing research-driven, rule-based trading strategies that help traders automate market execution while maintaining structured risk management. Founded by Rajeev Gupta, EliteAlgo brings experience in financial markets, proprietary trading and algorithmic strategy development. Its services include automated options trading, quantitative research, historical data analysis, strategy backtesting and broker-integrated trade execution. The company's core strategies include expiry-day options selling, weekly defined-risk spreads and multi-strategy trading baskets. These strategies are designed around predefined entry and exit conditions, stop-loss rules, position sizing and risk limits. Its quantitative research process considers factors such as brokerage, taxes, exchange charges and slippage when evaluating historical strategy performance. EliteAlgo aims to simplify trading execution by connecting its algorithmic systems with clients' existing broker accounts. Clients retain control of their funds in their own brokerage accounts, while automated systems execute trades according to selected strategies and predefined parameters. The company primarily serves experienced traders, high-net-worth individuals and investors with substantial capital who are interested in systematic options trading. It also highlights its research capabilities and technology-driven approach to financial markets. With a focus on automation, quantitative analysis and disciplined risk management, EliteAlgo positions itself as a specialised provider of algorithmic trading solutions in India's derivatives market. Trading in futures and options involves significant financial risk. Historical backtested performance does not guarantee future returns, and users should independently evaluate strategies, costs, risks and regulatory considerations before participating.

EliteAlgo – Algorithmic Trading & Quantitative Research Company

EliteAlgo is an India-focused algorithmic trading and quantitative research company specialising in automated trading solutions for the Indian stock market, particularly NIFTY and SENSEX options. The company focuses on developing research-driven, rule-based trading strategies that help traders automate market execution while maintaining structured risk management.

Founded by Rajeev Gupta, EliteAlgo brings experience in financial markets, proprietary trading and algorithmic strategy development. Its services include automated options trading, quantitative research, historical data analysis, strategy backtesting and broker-integrated trade execution.

The company's core strategies include expiry-day options selling, weekly defined-risk spreads and multi-strategy trading baskets. These strategies are designed around predefined entry and exit conditions, stop-loss rules, position sizing and risk limits. Its quantitative research process considers factors such as brokerage, taxes, exchange charges and slippage when evaluating historical strategy performance.

EliteAlgo aims to simplify trading execution by connecting its algorithmic systems with clients' existing broker accounts. Clients retain control of their funds in their own brokerage accounts, while automated systems execute trades according to selected strategies and predefined parameters.

The company primarily serves experienced traders, high-net-worth individuals and investors with substantial capital who are interested in systematic options trading. It also highlights its research capabilities and technology-driven approach to financial markets.

With a focus on automation, quantitative analysis and disciplined risk management, EliteAlgo positions itself as a specialised provider of algorithmic trading solutions in India's derivatives market.

Trading in futures and options involves significant financial risk. Historical backtested performance does not guarantee future returns, and users should independently evaluate strategies, costs, risks and regulatory considerations before participating.

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