SM Labs · Systematic Investment Research · India

Three AI strategies.
Safe. Modest. Aggressive.

One framework, three risk profiles — built and run by AI, validated over years of Indian market data, without emotion or guesswork. Choose the strategy that matches your risk appetite and time horizon.

3 Live strategies
15yr Combined backtest
0 Human bias
SM Labs builds rules-based investment strategies for Indian retail investors. Every strategy is built from first principles, tested on historical data before deployment, and designed so that the entry, exit, and position sizing rules are completely explicit — no discretion, no gut calls. The three strategies span the full risk spectrum: from conservative mutual fund allocation through to aggressive equity swing trading.
The strategies

Pick your risk appetite

Each strategy is independent — different universe, different signal, different holding period. They can be used individually or combined based on your allocation preferences.

Conservative · Mutual Funds · Long Term

SuperPMS

A category-weighted mutual fund portfolio — passive + active — screened from 752 alternatives and walk-forward validated. Rebalanced monthly.

5-Year CAGR 15.6%
Max Drawdown −9.8%
Universe MF / ETF
View Strategy →
Moderate · NSE Equities · Medium to Long Term

Super Signal

A Nifty 500 momentum strategy that reads market mood daily and sizes positions accordingly. Built through four controlled experiments over nine years of live data.

9-Year CAGR 26.5%
Max Drawdown −20.5%
Universe Nifty 500
View Strategy →
Aggressive · NSE Equities · Short Term

Super Swing

Buys temporary RSI dips in quality large-cap stocks. Claude AI picks the best 3 every morning. Entry at 9:15 AM. Stop loss always defined.

5-Year CAGR 59.4%
Max Drawdown −9.5%
Universe MCap >5000cr
View Strategy →
Risk spectrum

Where each strategy sits

Risk and return are always linked. Each strategy is designed for a specific investor profile — knowing which one fits you matters more than chasing the highest CAGR.

Level 1 — Conservative
SuperPMS

Diversified mutual funds. Monthly rebalancing. Capital preservation with steady growth. Suitable for long-term wealth building without active monitoring.

For: First-time investors, retirement corpus, conservative allocation
Level 2 — Moderate
Super Signal

NSE 500 momentum. Adaptive position sizing. Regime-aware — reduces exposure in bear markets automatically. Requires ₹10L+ capital.

For: Experienced investors, equity-heavy allocation, 5yr+ horizon
Level 3 — Aggressive
Super Swing

Active swing trading. Daily monitoring required. High return potential with defined stop losses. Requires daily market access at 9:15 AM.

For: Active traders, high-risk appetite, daily availability
Growth Calculator

What your money becomes

Adjust the sliders to see how each strategy would have grown your investment — compared against Nifty 50 buy-and-hold.

₹1,00,000
2021

Forward test · Live market prices · Since July 2026

Forward test · Live market prices · Since July 2026

All three strategies tracked with real NSE prices. Returns update live from each strategy page.

SuperPMS · Safe · Since 27 Jul 2026
return on ₹10L capital
Current value
P&L
Super Signal · Momentum · Since 23 Jul 2026
return on ₹50L capital
Current equity
P&L
Super Swing · RSI Dip · Since 5 Aug 2026
return on ₹95K invested
Current value
P&L

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Side by side

Comparing the three strategies

Metric SuperPMS Super Signal Super Swing
Universe Mutual Funds / ETF Nifty 500 stocks MCap > ₹5,000cr
CAGR 15.6% 26.5% 59.4%
Max Drawdown −9.8% −20.5% −9.5%
Backtest Period 6.2 years 9 years 5 years
Holding Period Months to years Weeks to months 5 to 40 days
Rebalance Monthly Daily scan Daily scan
Min Capital ₹10,000 ₹10,00,000 ₹1,00,000
Daily effort None ~5 min/day ~15 min/day
AI Powered AI Powered AI Powered AI Powered
Risk level Conservative Moderate Aggressive
Our approach

The SM Labs philosophy

Three principles that run through every strategy we build.

01

Rules over discretion

Every entry, exit, and position size is defined by explicit rules — computed from data, not decided by feel. The strategy runs the same way every day regardless of news or market mood.

02

One variable at a time

Every improvement is tested in isolation. We change one thing, measure the difference, then decide. This prevents over-fitting and builds genuine understanding of what actually works.

03

Honest about limitations

Every strategy page includes a limitations section. Backtests are optimistic. Forward tests are the only real validation. We publish both and let the numbers speak.