Accelerate wealth creation with NSE-Approved Algorithms

Higher capital allows for diversification across negatively correlated algorithms. The ideal basket size is ₹10cr to run all algorithms with equal weight of ₹2cr for the smoothest P&L curve.
Each algorithm itself is a stable & diversified basket of 8+ variations of 10+ alphas. To run a single algorithm, the minimum margin required for intraday algorithms is ₹1cr & for overnight algorithms it is ₹2cr.

Yes, all our algorithms are fully automated. Once configured, they execute trades automatically based on real-time monitoring of predefined rules, risk parameters & ML-insights.

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 trade index derivatives in NSE & BSE. Our expertise is building strategies that are optimized for index option selling and currently include Nifty, Sensex and Bank Nifty options.

We are a risk-first firm enabled by technology. We invest heavily for enabling parallel, multiple layers of risk management. These include real-time monitoring & predictions of predefined risk-limits in position sizing, leg stoploss, strategy stoploss & user stoploss.
We manage risk with sub‑100ms exit monitoring, >99.99% uptime, and three parallel services that continuously monitor and trigger exits.

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 demonstrates consistent & double-digit% alpha generation for every algorithm, and in every rolling 12-month period (pre-tax). This performance represents pure alpha, over and above underlying market returns & existing long term investments in mutual funds/stocks/SGBs/Silverbees etc.

Please note:
• Historical track record does not indicate or predict future results.
• Returns can be negative in abnormal market conditions like Jane Street activity & market manipulation.
• Mental lock-in of 12 months is required to experience full cycle of mean-reverting algo returns.
• Actual returns vary depending on broker infrastructure, market regime, algorithm deployed, capital allocation, and trading costs.

Our algorithms differ by being institutional‑grade in robustness and scalability while remaining simple to deploy across indices and large capital bases.

Key differentiators:
1. Diversified, negatively correlated stack
Algorithms are designed so that daily returns and drawdowns across strategies are negatively correlated over different periods, aiming to smooth the overall equity curve and reduce portfolio‑level volatility. This improves risk‑adjusted returns and reduce tail & black swan event risk. ​

2. Minimal curve‑fitting, proven live performance
Overfitting risk is common in most backtest‑only offerings. Our algorithms have traded live for more than three years, which is materially stronger evidence than typical short backtests or paper trading commonly used in the market. ​​

3. Robust, stable codebase & logics since 3+ years
The code for our oldest algorithm has remained unchanged for over three years, indicating that edge comes from underlying market behavior rather than constant parameter tinkering. This stability also reduces operational bugs and model drift that arise when strategies are frequently re‑optimized or rewritten. ​

4. Parameter‑invariance, multi‑index coverage
The same strategy logic and parameters run on Nifty, Bank Nifty, FinNifty, Midcap Nifty, Sensex and Bankex without per‑symbol optimization, which is rare because most commercial algos are index‑ or stock‑specific and heavily tuned or curve fitted. We reject all strategies that work only on a single index. This parameter invariance is a strong robustness signal: our strategy works across instruments and market regimes. ​

​ 5. Designed for large single‑client capital
Intra- and Inter-Algorithms design, RMS and execution architecture are explicitly designed to comfortably handle 25 cr+ from a single client, addressing slippage, liquidity, and capacity constraints that many retail‑focused algos ignore. This includes attention to alpha diversification, order slicing, algo mix, and low latency risk monitoring with high service levels.
Returns and risk profile improves initially till 10cr is deployed as we diversify across our algorithms, and then stays consistent as capital scales. ​

6. Skin in the game: we are our largest clients
We are also our largest client, which means every strategy, risk rule, and infrastructure change is always tested first on our own capital before being offered to our clients. When the algorithms run, orders are fired in parallel in both our proprietary account and client accounts, ensuring identical execution quality and alignment of interests.

Pledge margin is interest-free and the amount you can get depends on the type of security you hold. Different instruments provide varying levels of margin:

Instrument	Margin %	Type
SGB, RBI Bonds, Gilt Funds	~90%	Cash Equivalent
Equity	~90%	Non-Cash
Nifty 50 Stocks	80-85%	Non-Cash
Futures Stocks	75-80%	Non-Cash
Small Caps	0-60%	-

Cash equivalent margin includes instruments like SGB, RBI bonds, and Gilt funds, while non-cash margin includes equity, market-linked, and arbitrage funds.

Reach out to us to evaluate your portfolio for interest-free margin that can be generated to trade on our algorithms.

It depends on a case-to-case basis, as regulations are specific and application of the regulations differs for every individual's circumstances. If you are an NRI, reach out to us to discuss possible structures for working together.

Getting started is simple. After registering on Megaserve, you complete basic onboarding with the brokers that have these strategies under approved framework with their algo IDs, then connect your broker account via secure APIs, and select a suitable strategy. Our team assists you through the entire setup process to ensure a smooth start.

You will need a valid trading account with a supported broker. KYC and documentation requirements are governed by your broker and applicable regulations. Megaserve does not independently hold client funds.

There is no onboarding or setup fee. Megaserve operates on a transparent fee structure aligned with performance.

Yes. All market-linked investments carry risk. While Megaserve uses advanced risk management and data-driven strategies, losses are possible due to market volatility or unforeseen events. Usual drawdown for almost all strategies is 10-12% while black swan risk and major spikes can carry upto 20-30% risk.

Megaserve designs strategies in accordance with applicable regulations and these strategies have been approved by exchange under registered strategies of the brokers that Megaserve is integrated with. Clients trade through these regulated broker accounts using their approved algorithms and respective Algo IDs and retain full control over their capital.

In highly volatile conditions, strategies may take directional exposures if directions are clear they make money, or exit positions based on risk rules embedded in the models with defined losses.

Megaserve supports leading brokers with stable API infrastructure. Supported broker lists are shared during onboarding and may expand over time.

Yes. Once activated, strategies execute trades automatically based on predefined algorithms without manual intervention.

Absolutely. Clients can pause, modify, or stop strategies at any time since trades execute from their own broker accounts. They can also raise request to Megaserve team for the same. However this is not advisable as all algos are mean reverting and after loss days, profitable days come so this is usually reverse of what human psychology works like – ideally if you want to stop / decrease allocation, do it after exceptionally profitable days and if you want to increase, do it after 1-3 days of consecutive loss making days.

Clients can monitor real-time positions, trade history, and P&L directly through their broker dashboard and periodic performance reports shared by Megaserve.

No. Past performance is not a guarantee of future returns. Historical data is provided for reference and transparency only. Markets are becoming tougher and number of expiries have reduced, so expect only lower numbers compared to historical ones.

Strategy performance data is tracked systematically. Where applicable, audited or verified performance metrics may be shared with clients through broker reports which cannot be manipulated.

Yes. Trade and performance data can be exported via your broker or provided in downloadable formats upon request.

No. Megaserve does not hold or control client funds. All capital remains in the client's broker account at all times and only client's bank account is linked to the same which cannot be changed without OTP and other authorizations.

We use industry-standard security practices, encrypted connections, and secure APIs to protect user data and trading access.

In case of connectivity or system issues, strategies may temporarily pause execution. Clients are notified wherever possible, and normal operations resume once systems stabilize. Broker or exchange outage may result in losses for which Megaserve will not be responsible. Proofs of broker / exchange outage can be provided.

We offer onboarding support, strategy and psychology guidance, and technical assistance through email / whatsapp and direct communication channels.

Support queries are typically responded to within 24 business hours.

Clients are solely responsible for reporting and paying applicable taxes on trading profits as per their local tax laws.

Megaserve provides technology-driven trading strategies and does not provide personalized investment advice unless explicitly stated.

Megaserve is suitable for traders and investors who prefer systematic, disciplined, and data-driven trading over emotional or discretionary decision-making with Demat asset base of over 1Cr and that should be a smaller part of your overall net worth. Ideally one should subscribe if they are comfortable losing 10% of margin committed, in case of drawdowns and more in case of black swan events which can happen once in 5-10 years (actually happens once in 10-15 years, but lets expect and be prepared for the worst, assuming that can happen once you start).