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GENIUS

Harmoney Finserv India Private Limited · Equity · declared benchmark (as filed): Nifty 50 TRI
AUM
13 cr
CAGR (full)
-1.9%
Sharpe (full)
-0.44
Benchmark CAGR (full)
0.0% (Nifty 50)
Active return /yr (full)
-1.8%
IR (full)
-0.37
Percentile (full, strategy)
7
Percentile (full, benchmark group)
3
Rank (Score, strategy)
#1346 of 1,389
Rank (Score, benchmark group)
#108 of 112
Max drawdown
-18.0%
Since inception (APMI)
-1.2%
Months of data
24
Fund manager
KANNAN RAMADASS
Fixed fee
AMC 2 % AMC 1 %
Performance fee
PROFIT SHARING 1 TO 15 %
Min. investment
₹50 lakh
Inception
03 Jul 2024
Turnover (1y / 1m)
1.18× / 0.11×
Objective (as filed with APMI)The Investment objective of the strategy is to generate long-term capital growth from an actively managed portfolio primarily of Equity and Equity Related Securities. The Investment style will be tech
Percentile ranks this fund within its full APMI Strategy (all Equity PMS together — the comparison basis SEBI's Dec-2022 circular prescribes); the benchmark-group percentile is an EdgePnL analytical refinement. The leaderboard Score is the weighted average of fiscal-year percentiles (each blends return-rank and Sharpe-rank).

Equity curve

2024202520268495107Fund (NAV=100)Benchmark (declared): Nifty 50 TRICategory median (Equity)

Drawdown

202420252026-18-90Drawdown %

Fiscal-year record

FYReturnBenchmark
declared
Active
vs benchmark
IRvs categorySharpemonths
FY240
FY25*-7.2%-5.2%-3.4%-0.763.2%-1.268
FY26-9.9%-4.0%-6.2%-2.36-5.6%-1.0112
FY27*15.0%9.9%14.5%1.65-1.7%2.044
Return is the TOTAL return over the months covered — never annualized (FY27* is year-to-date; a * row covers only part of the year). The BM (Nifty 50 TRI) is the fund's declared benchmark, priced by consensus chain. Active = annualized mean monthly excess return; IR = active / tracking error. Sharpe remains the primary metric.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2024+2.0-0.2-5.6-2.1-0.9-6.8
2025-1.2-5.1+6.1+2.5+1.8+2.6-3.1-0.3+1.4+3.7+0.8-0.2+8.9
2026-3.9-2.2-12.3+11.6+0.5+1.9+0.6-5.2

Cumulative active return

202420252026-8-41Cumulative active return vs benchmark, %
Growth of the fund relative to its benchmark: +10 means ₹100 in the fund is worth 10% more than ₹100 in the benchmark since the start of the line.

AUM & estimated net flows

2024202520264813AUM, ₹cr
-0120252026
Monthly net flow estimate: AUM_t − AUM_(t−1)·(1+r_t). Positive = net inflows, ₹cr.
Source: APMI monthly IA-level disclosures (mandated by SEBI's Dec-2022 benchmarking circular); returns are TWRR net of all fees and expenses per SEBI circular of Feb-13-2020, as reported by each portfolio manager. Benchmark series are the cross-reporter modal consensus of manager-reported benchmark figures. Reporting artifacts (impossible values on dormant months) are nulled, never silently dropped; dead funds remain in every month they existed. History begins Apr-2023 (the APMI disclosure floor). Sharpe uses rf 6%, arithmetic monthly convention. Coverage: this site lists the client-facing discretionary PMS universe open to the general public (~₹4.6 lakh crore). SEBI's headline portfolio-manager AUM (₹43.2L cr, Jun-2026) additionally includes ~₹30L+ cr of EPFO/provident-fund special mandates plus non-discretionary (₹3.4L cr) and advisory (₹3.1L cr) assets — none of which publish IA-level returns or are investable products; PF/institutional mandates and private-markets series are excluded from these listings. Independence: all figures are computed from mandatory public disclosures with a fixed methodology applied identically to every fund — no fund can pay for inclusion, exclusion, placement, or altered presentation, and any material commercial relationship will be disclosed on the affected pages. EdgePnL groupings, inferred comparison benchmarks and percentiles are analytical overlays, not official categories; each fund's declared benchmark is always shown. Nothing here is investment advice; past performance does not predict future returns. Generated 2026-08-25 05:37Z · data through Jul 2026 · leaderboard
Feedback, inputs, or bug reports are appreciated — @vivekrmr on X · LinkedIn.