Assets
Indian mutual funds
Indian Index ETFs
Globals Index ETFs
Tested Performance
Institution grade dip detection in the hands of retail investors, with rigorous testing protocols
Usage
Input your long term assets and automatically add contributions on triggers
Expected uptick
2-4% annual return higher than your existing portfolio.
Long term assets modeled, with overallocation guardrails. Manual backstops for black swan events
Markets are always moving, shouldn't your regular contribution sizes?
Engineered for
Higher Returns
SIP investments are great, and are considered one of the best vehicles for long term investing. However there is missed juice because in a long enough time horizon there are opportunities as the economy rarely follows a straight line. So everyone should ask the question: Why not get that extra juice?
This engine is developed with the aim to maintain the discipline and stability of SIPs, while not leaving the free juice behind.
Results
+2% XIRR
Average increase over a 3-year period
By dynamically increasing SIP contributions during undervalued periods, our system delivers an average of 2% higher XIRR than standard SIPs, with just 30% more capital invested.
How Does
It Work
Safesmartsip introduces a rules-based, AI-powered overlay to traditional SIPs. By identifying periods of relative undervaluation, the system automatically allocates additional capital—up to 30%, during market slowdowns, enhancing accumulation without altering the underlying portfolio structure.
The model is rigorously backtested using a rolling-window methodology across 18 years of historical data and hundreds of mutual fund schemes. This ensures consistent performance, avoids overfitting, and provides a scalable, evidence-based approach to improving long-term SIP outcomes.
Team
Tushar Gerg
(Founder)
Applied AI expert, 13+ years of engineering, analytics, product management experience.
Amrit
(Developer)
AI expert with an interest in LLMs and financial markets
Amarildo
(Advisor)
PhD in Math and Applied AI, developed similar strategies for the Italian fixed income markets.