Leverage cutting-edge algorithmic strategies to generate alpha & maximize ROI
MegaServe is a leading provider of advanced algorithmic trading solutions. We specialize in leveraging cutting-edge AI and machine learning to create highly sophisticated, automated trading strategies.
Democratize algorithmic trading by making sophisticated AI-powered strategies accessible to every trader.
Founded by IIT-IIM alumni with 10+ years experience & expertise in tech/AI, quantitative finance, and capital markets.
Audited track record of consistent performance across market conditions.
MegaServe specializes in advanced algorithmic trading solutions that leverage cutting-edge AI and machine learning to optimize trades, minimize risks, and maximize returns.
We combine institutional-grade infrastructure with user-friendly interfaces, ensuring that both novice and experienced traders can harness the power of automated trading strategies.
Industry veterans with a shared vision to revolutionize algorithmic trading in India.
Co-Founder
β IIM Indore (MBA)
β CFA Charterholder
β Research & Development Leadership
govinda@megaserve.tech
+91 88399 16200
Co-Founder
β 20+ Years of Market Excellence
β 1,000+ prop-trading desk experience
β Growth Leadership
Co-Founder
β IIT Roorkee (B.Tech)
β IIM Bangalore (MBA)
β Clients & Tech Leadership
Professionally designed, rigorously tested and live-deployed strategies tailored for Indian markets.
No Guarantee of any sort for returns!
| Scenario | Final Value |
|---|---|
| 12% CAGR = Only MF @12% CAGR | βΉ3.11 Cr |
| 22% CAGR = MF @12% CAGR + Algo @10% CAGR | βΉ7.30 Cr |
| 24% CAGR = MF @12% CAGR + Algo @12% CAGR | βΉ8.59 Cr |
| 26% CAGR = MF @12% CAGR + Algo @14% CAGR | βΉ10.09 Cr |
90:10 MF:Cash margin for intraday algos & 50:40:10 MF:SGB+Gilt:Cash margin for overnight algos β’ Algo returns taxed at your slab
Explore our latest quantitative research, risk management frameworks and technical deep-dives.
Understand the statistical baseline for quantifying market exposure and capital requirements...
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Everything you need to know about our algorithmic trading offerings.
Higher capital allows for better diversification across multiple algorithms. Our ideal basket size is βΉ10cr to run all algorithms for a smooth P&L curve. We require a minimum of βΉ1 crore to run a single algorithm. For intraday algorithms, the minimum margin required is βΉ1cr & for overnight algorithms it is βΉ2cr.
Yes, all our algorithms are fully automated. Once configured, they execute trades automatically based on real-time monitoring of predefined rules, risk parameters & AI-predictions.
You can observe trades in real-time and monitor periodic performance through P&L reports on your demat account login. We have experienced that users who do not monitor make significantly better returns and hence, strongly encourage tracking less than once in 3-6 months.
We currently trade only index derivatives in NSE & BSE. Our expertise is building strategies that are optimized for index options including Nifty, Sensex and Bank Nifty options.
We are a technology enabled risk-first firm & employ parallel, multiple layers of risk management. They include real-time monitoring & predictions of predefined risk-limits in position sizing, leg stoploss, strategy stoploss & user stoploss. Our infrastructure enables us to monitor these at sub-100ms latency for round-trip of trade confirmations with >99.9% confidence & uptime.
No, we do not offer any customization of the trading strategies.
Our algorithms are statistically optimised and rigorously back-tested over years of market data to deliver
the best possible risk-adjusted performance.
Any modification or customisation would compromise their edge and consistency, therefore all strategies
run exactly as designed.
12 months. All our algorithms are mean-reverting, and will take minimum of a year to deliver results. A year enables us to take over 10,000 strategy trades which ensures results start tending towards our long term averages. 12 months is the minimum mental lock-in we expect our clients to stick to.
Disclaimer: Trading in derivatives involves substantial risk of loss, including the possibility of losing
more than the initial capital.
Our live audited track record since June 2022 shows annualised alpha ranging from
16β20% p.a. across different strategies (before taxes) in a 12 month period. This does
not include underlying returns, and constitute pure-alpha.
Please note:
β’ Historical track record does not indicate or predict future results.
β’ Returns can be negative in abnormal market conditions like Jane Street activity &
market manipulation.
β’ Mental lock-in of 12 months is required to experience full cycle of mean-reverting algo returns.
β’ Actual returns vary depending on broker infrastructure, market regime, algorithm deployed, capital
allocation, and trading costs.
Ready to transform your trading? Contact us for a personalized demo and consultation.
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