Fund Snapshot
| PMS Provider Name | Ayan Analytics Pvt Ltd |
| Strategy & Product Name | Equity |
| Benchmark | Nifty 50 TRI |
| Date of Inception | December 9, 2025 |
| Fund Age | 6 Months |
| Minimum Investment | ₹5,000,000 (固定 ₹50 Lakhs SEBI PMS entry threshold) |
| Assets Under Management (AUM) | ₹2.67 Crore |
| Fixed Fees Structure | 0.32% per annum on average AUM |
| Variable Fees Structure | NIL (No performance-linked fees) |
| Exit Load | NIL |
Fund Purpose
The primary objective of the PriceBridge Crescendo approach is structural Wealth Creation. Operating under a pure equity discretionary mandate, the fund targets long-term compounding by capturing micro and macro market upswings while eliminating capital friction through a uniquely competitive, low-cost fee architecture.
Fund Philosophy
Time-Cycle Quant Mapping
The strategy relies heavily on proprietary data models built over two decades to track market time cycles. Instead of tracking price alone, the algorithmic engine charts systemic time patterns to identify optimal macro entry and exit zones.
Behavioural Risk Mitigation
The framework maps responsive human behavior patterns within capital markets. By analyzing indicators of greed and panic systematically, it aims to capitalize on market inefficiencies and avoid overextended structural bubbles.
Low-Friction Capital Compounding
With a fixed fee of just 0.32% and zero performance fees or exit loads, the philosophy eliminates the heavy cost burdens typical of active PMS management. This ensures a larger portion of gross returns stays embedded in the portfolio to compound.
Disciplined Baseline Allocation
The portfolio maintains a high-conviction exposure built around core equities that display uniform structural strength. It filters out speculative volatility in favor of steady, non-emotional momentum aligned against the Nifty 50 TRI benchmark.
Adversity Quotient Execution
The systemic code is designed around an institutional "Adversity Quotient"—meaning the mathematical rules prioritize protecting capital when time cycles point toward broader market risk, managing drawdowns actively through quantitative rules.
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PriceBridge Crescendo
Benchmark: Nifty 50 TRI
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Review and compare fund returns against benchmark performance across different investment periods in a detailed tabular format.
AYAN ANALYTICS PVT LTD
| AUM(Cr.) | 1M | 3M | 6M | 1Y | 2Y | 3Y | 4Y | 5Y | Ince. | |
| Performance | ₹2.64 | 0.44 | 3.62 | 4.18 | NA | NA | NA | NA | NA | 2.71 |
| Benchmark | NA | 2.36 | 2.28 | -2.98 | NA | NA | NA | NA | NA | -5.32 |
Learn about the experienced fund managers responsible for investment decisions, portfolio strategy, and long-term fund performance.
Mahesh Gowande
Mahesh Gowande is the Founder, Director, and Chief Investment Officer of Ayan Analytics Pvt Ltd, bringing over 20 years of specialized expertise in capital markets. Recognized widely as an expert in Dow Theory and an "Equity Futurologist," Gowande focuses his research on time-cycle influences and the responsive behavioral mechanics of human market participants. He has pioneered proprietary analytical applications, including the ZodiacAnalyst framework for algorithmic trading systems, and directly steers the quantitative asset-allocation engines backing the PriceBridge product suite to ensure systematic risk control and capital protection.
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Find answers to common questions about fund investments, performance, portfolio strategy, and investor services.
The fund utilizes a highly unique, low-cost model charging a flat 0.32% per annum fixed fee on average AUM. There are completely zero performance-linked variable fees and zero exit loads.
The approach integrates proprietary Time-Cycle and TimeMapping software models developed over 20 years. These quantitative filters determine structural market shifts to optimize asset execution.
In alignment with SEBI's baseline regulations for Portfolio Management Services in India, the minimum initial investment amount is set at ₹5,000,000 (₹50 Lakhs).
No, PriceBridge Crescendo maintains a completely "NIL" exit load structure, providing investors with structural liquidity if they need to adjust allocations.
This approach is tailored for long-term HNI investors seeking multi-cap equity exposure who prefer algorithmic, behavioral-driven risk models combined with an institutional, low-cost fee wrapper.