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Direct GROWTH Active

ICICI Prudential Conglomerate Fund - Direct Plan - Growth

ICICI Prudential Mutual Fund · AMFI: 153867 · ISIN: INF109K1A427

Latest NAV

₹10.25

as of Nov. 5, 2026

1Y: +3.65%

3Y: +2.34%

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📄 Get Research Report

Fund Information

06 Nov 2026 · captnemo

Fund House

ICICI Prudential Mutual Fund

Category

Equity Scheme - Sectoral/ Thematic

AUM

—

Expense Ratio

—

Min SIP

—

Min Lumpsum

—

Fund Start Date

27 Oct 2025

Lock-in Period

None

💰 Fund AUM Trend

Current: —

Trailing Returns

Full Analysis →

Period	Fund	Benchmark	Cat Min	Cat Avg	Cat Max	Excess vs BM	Excess vs Cat
1W	1333.95%	876.36%	—	—	—	457.59%	—
1M	43.57%	85.38%	—	—	—	-41.81%	—
3M	-16.16%	-10.56%	—	—	—	-5.60%	—
6M	-2.87%	-3.00%	—	—	—	0.13%	—
1Y	3.65%	-6.09%	—	—	—	9.74%	—
2Y	2.34%	-6.48%	—	—	—	8.82%	—
3Y	2.34%	-6.48%	—	—	—	8.82%	—
5Y	2.34%	-6.48%	—	—	—	8.82%	—
7Y	2.34%	-6.48%	—	—	—	8.82%	—
10Y	2.34%	-6.48%	—	—	—	8.82%	—
SI	2.34%	-7.55%	—	—	—	9.89%	—

Risk Snapshot (3Y)

Sharpe Ratio

-0.23

Max Drawdown

-12.95%

Std Dev (Ann)

18.02%

Beta

1.15

NAV History

Trailing Returns (CAGR)

Period	Fund	Benchmark	Cat Min	Cat Avg	Cat Max	Excess vs BM	Excess vs Cat
1W	1333.95%	876.36%	—	—	—	457.59%	—
1M	43.57%	85.38%	—	—	—	-41.81%	—
3M	-16.16%	-10.56%	—	—	—	-5.60%	—
6M	-2.87%	-3.00%	—	—	—	0.13%	—
1Y	3.65%	-6.09%	—	—	—	9.74%	—
2Y	2.34%	-6.48%	—	—	—	8.82%	—
3Y	2.34%	-6.48%	—	—	—	8.82%	—
5Y	2.34%	-6.48%	—	—	—	8.82%	—
7Y	2.34%	-6.48%	—	—	—	8.82%	—
10Y	2.34%	-6.48%	—	—	—	8.82%	—
SI	2.34%	-7.55%	—	—	—	9.89%	—

Trailing Returns Chart

Calendar Year Returns

Rolling Return Statistics

All rolling windows vs benchmark — full history

Window	Min	Max	Median	Mean	Win Rate (>0%)	Win Rate (>8%)	BM Median	BM Mean	Outperform %	Cat Avg
1Y Rolling	-5.52%	2.71%	-2.80%	-2.59%	5.9%	0.0%	-11.09%	-10.77%	100.0%	—

Rolling Return Calculator

Inception: Oct. 27, 2025 · Latest NAV: —

Rolling Window

Start Date

End Date

Rolling Returns Distribution (All Windows)

Bar = mean, error bar = min/max. BM shown beside. Right axis = % of periods beating BM.

🧮 SIP Simulator

Monthly SIP Amount (₹)

Investment Period (Years)

10 yrs

Enter values and click Calculate.

💰 Lumpsum Simulator

One-time Investment (₹)

Investment Period (Years)

10 yrs

Enter values and click Calculate.

Risk Metrics — 3 Years

Std Dev (Ann %)

18.02%

Sharpe Ratio

-0.23

Sortino Ratio

-0.31

Max Drawdown %

-12.95%

Beta

1.15

Alpha (Ann %)

11.73%

R-Squared %

78.52%

Tracking Error %

8.35%

Info Ratio

1.15

Upside Capture %

114.0%

Downside Capture %

102.1%

Risk-Free Rate Used

6.50%

Risk Metrics — 5 Years

Std Dev (Ann %)

18.02%

Sharpe Ratio

-0.23

Sortino Ratio

-0.31

Max Drawdown %

-12.95%

Beta

1.15

Alpha (Ann %)

11.73%

R-Squared %

78.52%

Tracking Error %

8.35%

Info Ratio

1.15

Upside Capture %

114.0%

Downside Capture %

102.1%

Benchmark

NIFTY 50

Market Volatility Measures (3Y)

Upside Capture

114.0%

Downside Capture

102.1%

Max Drawdown

-12.95%

Quarterly Performance Analysis (Top 5 & Worst 5)

📈 Upside Quarters (Top 5)

Quarter	Fund	Benchmark
Q1 2026	13.34%	6.87%
Q3 2026	2.71%	5.92%

Total 2 upside quarter(s)

📉 Downside Quarters (Worst 5)

Quarter	Fund	Benchmark
Q4 2025	-11.51%	-14.54%
Q2 2026	-1.29%	-5.22%

Total 2 downside quarter(s)

Year-wise Risk Metrics

Year	Fund CAGR	BM CAGR	Alpha	Beta	Sharpe	Sortino	Max DD	Upside Cap	Downside Cap
2026	1.17%	-9.87%	13.34%	1.16	-0.27	-0.38	-12.95%	115.8%	103.3%
2025^*	3.99%	8.21%	0.39%	0.94	-0.30	-0.50	-1.69%	92.9%	91.4%

Drawdown Chart

Crisis Period Behaviour

"Pre-inception" = fund didn't exist during that period. Hover the ⓘ on each card for how to interpret it.

Pre-inception

2018 IL&FS

—

Aug 2018 → Oct 2018

Pre-inception

COVID-19

—

Jan 2020 → Mar 2020

Pre-inception

2008 GFC

—

Jan 2008 → Mar 2009

Pre-inception

2022 Rate Hike

—

Jan 2022 → Jun 2022

Pre-inception

2015-16 China

—

Mar 2015 → Feb 2016

Pre-inception

2024-25 Tariff

—

Sep 2024 → Apr 2025

📖 How to interpret these numbers

0% or positive — Held up during crash (exceptional)

0% to -15% — Mild damage, manageable drawdown

Below -15% — Significant hit; check recovery speed

Recovery label — Months from trough back to pre-crash peak

Market Regime Analysis

Reading the cards: ≥15% Excellent 5–15% Good 0–5% Muted <0% Lost money | Click ▼ Per-window on any card to see each individual time window

📈 Bull Market

Strong sustained uptrend (>20% from lows)

No data — fund not active in this regime

📉 Bear Market

Sustained decline >20% from recent highs

No data — fund not active in this regime

↔️ Sideways / Consolidation

Range-bound market, low trend conviction

No data — fund not active in this regime

🔥 High Inflation Period

CPI/WPI elevated >6%; RBI tightening

No data — fund not active in this regime

✂️ Rate Cut Cycle

RBI cutting repo rate; liquidity supportive

No data — fund not active in this regime

ℹ️ Regime windows are approximations based on Nifty 50 price action and RBI policy dates. Returns shown are fund NAV CAGR within covered dates only.

⚠️ Benchmark Note: Index data shown is Price Index, not TRI (Total Return Index). TRI includes dividends and is typically 1-2% higher annually. SEBI mandates TRI for official benchmark comparison.

Sector Allocation

Basic Materials

37.2%

Consumer Cyclical

27.7%

Industrials

15.6%

Financial Services

9.6%

Healthcare

2.4%

Communication Services

1.9%

Real Estate

1.6%

Energy

1.3%

Technology

1.3%

Consumer Defensive

1.1%

Utilities

0.4%

Weightage by Market Cap

Large Cap 2.09%

Mid Cap 2.95%

Small Cap 2.09%

Asset Allocation

Debt 0.00%

Cash 3.73%

Other 0.00%

Portfolio Summary

Total Holdings

47

Top 10 Weight

0.48%

Portfolio Turnover

—

Top Holdings

As of Sep 2026

#	Security	Sector	Weight %	Fwd P/E
1	Mahindra & Mahindra Ltd INE101A01026	Consumer Cyclical	0.08%	23.6x
2	CG Power & Industrial Solutions Ltd INE067A01029	Industrials	0.07%	—
3	UltraTech Cement Ltd INE481G01011	Basic Materials	0.06%	35.2x
4	TVS Motor Co Ltd INE494B01023	Consumer Cyclical	0.05%	39.8x
5	JSW Steel Ltd INE019A01038	Basic Materials	0.04%	—
6	Cholamandalam Investment and Finance Co Ltd INE121A01024	Financial Services	0.04%	—
7	Bajaj Finance Ltd INE296A01032	Financial Services	0.04%	—
8	Samvardhana Motherson International Ltd INE775A01035	Consumer Cyclical	0.04%	—
9	APL Apollo Tubes Ltd INE702C01027	Basic Materials	0.03%	—
10	Coromandel International Ltd INE169A01031	Basic Materials	0.03%	—
11	JSW Infrastructure Ltd INE880J01026	Industrials	0.03%	—
12	Ambuja Cements Ltd INE079A01024	Basic Materials	0.03%	—
13	Jindal Steel Ltd INE749A01030	Basic Materials	0.03%	—
14	Voltas Ltd INE226A01021	Consumer Cyclical	0.03%	—
15	Jindal Stainless Ltd INE220G01021	Basic Materials	0.03%	—
16	Hindalco Industries Ltd INE038A01020	Basic Materials	0.03%	9.4x
17	Tata Steel Ltd INE081A01020	Basic Materials	0.02%	—
18	Piramal Pharma Ltd INE0DK501011	Healthcare	0.02%	—
19	Tata Motors Ltd INE1TAE01010	Consumer Cyclical	0.02%	—
20	Tata Motors Passenger Vehicles Ltd INE155A01022	Consumer Cyclical	0.02%	—
21	Bharti Airtel Ltd INE397D01024	Communication Services	0.02%	—
22	Carborundum Universal Ltd INE120A01034	Industrials	0.02%	—
23	Adani Ports & Special Economic Zone Ltd INE742F01042	Industrials	0.02%	—
24	Aditya Birla Real Estate Ltd INE055A01016	Real Estate	0.02%	—
25	Kirloskar Oil Engines Ltd INE146L01010	Industrials	0.01%	—
26	Indian Hotels Co Ltd INE053A01029	Consumer Cyclical	0.01%	—
27	Reliance Industries Ltd INE002A01018	Energy	0.01%	—
28	Zensar Technologies Ltd INE520A01027	Technology	0.01%	—
29	Vedanta Aluminium Metal Ltd INE1CDF01017	Basic Materials	0.01%	—
30	Tata Consumer Products Ltd INE192A01025	Consumer Defensive	0.01%	—
31	Aditya Birla Sun Life AMC Ltd INE404A01024	Financial Services	0.01%	—
32	Grasim Industries Ltd INE047A01021	Basic Materials	0.99%	—
33	Aditya Birla Fashion and Retail Ltd INE647O01011	Consumer Cyclical	0.91%	—
34	Aarti Industries Ltd INE769A01020	Basic Materials	0.89%	—
35	Welspun Corp Ltd INE191B01025	Basic Materials	0.81%	—
36	Aditya Birla Lifestyle Brands Ltd INE14LE01019	Consumer Cyclical	0.72%	—
37	IndusInd Bank Ltd INE095A01012	Financial Services	0.65%	—
38	Deepak Nitrite Ltd INE288B01029	Basic Materials	0.59%	—
39	Vedanta Ltd INE205A01025	Basic Materials	0.50%	—
40	Ceat Ltd INE482A01020	Consumer Cyclical	0.50%	19.7x
41	Titan Co Ltd INE280A01028	Consumer Cyclical	0.37%	—
42	Adani Energy Solutions Ltd INE931S01010	Utilities	0.34%	—
43	Gujarat Fluorochemicals Ltd Ordinary Shares INE09N301011	Basic Materials	0.26%	—
44	Deepak Fertilisers & Petrochemicals Corp Ltd INE501A01019	Basic Materials	0.17%	—
45	Treps	cashAndEquivalents	0.03%	—
46	Cash Margin - Derivatives	cashAndEquivalents	0.01%	—
47	Cash Offset For Derivatives	cashAndEquivalents	0.50%	—

Costs & Fees

Expense Ratio

—

Portfolio Turnover

—

CRISIL Rating

—

Kuvera Rating

—

Investment Rules

Min Lumpsum

—

Min Additional

—

Min SIP

—

SIP Available

✅ Yes

Lock-in Period

None

Redemption Allowed

✅ Yes

Tax Treatment

Equity Fund Tax Rules
• STCG (held <12 months): 20% flat
• LTCG (held >12 months): 12.5% on gains above ₹1.25 lakh
• ELSS: 3-year lock-in applies; LTCG rules apply

Benchmark

NIFTY 50

SEBI-assigned category benchmark for this fund type.

Source: database

⚠️ Data shown is Price Index, not TRI. TRI returns are typically 1-2% higher annually.

Named manager data is not exposed by the available on-demand sources for this fund.

Management Context

Fund House	ICICI Prudential Mutual Fund
Inception / First NAV	Oct. 27, 2025
AUM	-
Expense Ratio	-
Portfolio Turnover	-
Rating	-
Benchmark	NIFTY 50
Data Source	captnemo

Portfolio Managed

Holdings Used

47

mstarpy

Sectors

11

Portfolio view

3Y Sharpe

-0.23

NAV computed

3Y Drawdown

-13.0%

NAV computed

Investment objective is not exposed by the current metadata provider for this fund.

Computing fund scorecard & factor breakdown…

🏅 Score & Category Rank Trend

Historical tracking of model quantitative score and category standing over time.

🎛️

Personalized Ranking Scorecard

Dynamic Multi-Factor

Tailor the scoring model to your investment style. Choose an investor archetype or customize weights across Stability, Consistency, Recency, and Cost.

Personalized Score

Baseline (Default Model)

Category Rank

—

📊 Factor Breakdown (Stability · Consistency · Recency · Cost)

🛡️ Stability

—

Weight: 25% Contribution: +0.0 pts

🎯 Consistency

—

Weight: 25% Contribution: +0.0 pts

⚡ Recency

—

Weight: 25% Contribution: +0.0 pts

💰 Cost

—

Weight: 25% Contribution: +0.0 pts

🕸️ Multi-Factor Radar vs Category Benchmark

SEBI Category: Equity Scheme - Sectoral/ Thematic

Factor	Fund Score	Cat. Avg	Gap vs Cat	Your Weight

🧮 Score Composition & Mathematical Transparency

Visual Point Contribution to Final Score:

Loading calculation formula…

🚩 Red Flags

Loading…

📖 How We Score — Methodology & Model Notes

Show ▼

⚠️ Important Disclaimer: This scorecard is generated automatically using a quantitative model based on historical data. It is not investment advice. Past performance does not guarantee future results. Always consult a SEBI-registered financial advisor before making investment decisions. This tool is for educational and informational purposes only.

Loading peer funds in the same category…

Loading NAV history for analysis…

🔍 Real-Time Technical Pattern & Divergence Signals

⚡ Real-Time Scanner Active

SMA 50 / 200 Cross

Analyzing…

50D vs 200D Simple Moving Average

RSI (14D) Divergence

Scanning…

Price vs Momentum Oscillator

MACD (12, 26, 9) Momentum

Evaluating…

Fast vs Signal Line Momentum

ADX Trend Strength

Calculating…

Directional Movement System

🚀 All-Time & Multi-Year Range Barometer

Analyzing Price Channel…

All-Time High (ATH) Peak

₹—

Peak Date: —

—

All-Time Low (ATL) Inception/Base

₹—

Trough Date: —

—

52-Week (1Y) Channel —%

₹— – ₹—

Position in 52W Channel

—

3-Year Channel —%

₹— – ₹—

3-Year Low & High Bounds

—

5-Year Channel —%

₹— – ₹—

5-Year Low & High Bounds

—

📍 Visual NAV Position Across Timeframe Channels Current NAV: ₹—

52-Week Low: ₹— (—) 52W Channel (—% of range) 52-Week High: ₹— (—)

+—% from Low —% from High

3-Year Low: ₹— (—) 3Y Channel (—% of range) 3-Year High: ₹— (—)

+—% from Low —% from High

5-Year Low: ₹— (—) 5Y Channel (—% of range) 5-Year High: ₹— (—)

+—% from Low —% from High

💡 Compounding Asset vs Order-Book Mechanics

A mutual fund's NAV is not a stock price driven by order-book bid/ask resistance. Rather, it represents the net book value of a diversified portfolio. As underlying companies generate corporate earnings, pay dividends, and compound cash flows, NAV naturally reaches new All-Time Highs year after year. Being at ATH is a healthy hallmark of secular compounding.

🛑 The "Waiting for a Dip" Timing Fallacy

Retail investors frequently pause investing when a fund reaches an ATH, hoping for a correction. Historical empirical data proves that in compounding equity funds, waiting on the sidelines causes severe cash drag and missed dividend reinvestment. Entering at an ATH historically delivers virtually identical 5-year rolling returns compared to trying to time 5–10% dips.

🧭 Historical Deployment Framework (SIP vs Lumpsum)

Systematic Allocation: Regular monthly SIP schedules utilize rupee-cost averaging to acquire units across market cycles without market timing.
Phased Capital Staging: When NAV trades near historical peaks, institutional literature often favors staggered deployment (e.g. 3–6 month STP). During severe drawdowns (>15% from ATH), margin of safety increases historically.

Signal Summary

Timeframe:

Oscillators

—

— Bear · — Neu · — Bull

Overall Summary

—

— Bear · — Neu · — Bull

Moving Averages

—

— Bear · — Neu · — Bull

Oscillators

Name	Value	Signal

Moving Averages

Indicator	Value	Signal

Pivot Points (30-Day High/Low)

Level	Classic	Fibonacci	Camarilla	Woodie	DeMark

Interactive NAV Chart & Overlays

Overlays: SMA 20 SMA 50 SMA 200 EMA 12 EMA 26 Bollinger Bands Support/Resistance

BB: period, σ RSI: period

Sub-chart Panels: MACD (12,26,9) RSI (14D)

MACD Oscillator (12, 26, 9)

Relative Strength Index (RSI 14D)

Quantitative Risk Metrics

Period-Wise Value at Risk (VaR) & Expected Shortfall (CVaR)

Underwater (Drawdown) Chart

💡 How Monte Carlo Simulation Works & How to Interpret

⚙️ Simulation Methodology

Monte Carlo simulation projects future NAV paths without assuming a rigid normal distribution:

Historical Bootstrap Resampling: Randomly samples from actual daily historical returns, preserving fat tails, skewness, and market crash jumps.
500 Simulated Trajectories: Generates 500 parallel future NAV paths over 1-Year (252D), 3-Year (756D), or 5-Year (1260D) horizons.
Percentile Distribution Analysis: Sorts simulated NAVs at each future day to compute the 95th, 75th, 50th (median), 25th, and 5th percentile bands.

🎯 Percentile Fan & Goal Planning Guide

95th Percentile 🟢 : Bull Case Scenario — Top 5% optimistic outcome during strong bull market rallies.

75th Percentile 🔵 : Above-Average Path — Favourable growth trajectory assuming positive market conditions.

50th Percentile ⚪ : Median Expected NAV — Central 50/50 baseline expectation for financial goal calculations.

25th Percentile 🟧 : Below-Average Path — Mild correction scenario. Good benchmark for conservative SIP planning.

5th Percentile 🔴 : Bear Case Scenario — Bottom 5% severe crash outcome. Essential for stress-testing emergency capital.

💡 Actionable Tip: For critical financial goals (e.g., child education or home down payment), ensure your required target corpus is met by at least the 25th percentile path, not just the 50th median.

Monte Carlo Simulation

95th (Optimistic) 75th 50th (Median) 25th 5th (Pessimistic)

Multi-Factor Composite Quant Signal Score

💡 How the Quant Signal Engine Works & How to Interpret

⚙️ Mathematical Methodology

The Signal Engine processes daily NAV history through 5 weighted quantitative factor pillars:

Trend & Momentum (20%): SMA20/50/200 alignment + 1M/3M/6M price momentum.
Technical Oscillators (20%): RSI(14), MACD histogram, and Bollinger %B mean-reversion.
Forecast Model Consensus (25%): Ensemble, Holt, ARIMA, XGBoost, & Direction Classifiers (% Bullish).
Volatility & Tail Risk (20%): ATR volatility regime, GARCH(1,1) forecast, and 95% CVaR tail risk.
Return Consistency (15%): Fraction of positive monthly returns over past 12 months.

🎯 Score Scale & Decision Guide

85 – 100 : Strong Bullish Conviction 🟢 — Multi-model alignment, strong trend & low tail risk. Favourable for lumpsum/SIP.

65 – 84 : Favourable Outlook 🔵 — Positive momentum and bullish forecast consensus with manageable volatility.

45 – 64 : Neutral / Mixed 🟡 — Sideways trend or model divergence. Ideal for steady SIP accumulation.

25 – 44 : Cautious 🟧 — Negative momentum or rising GARCH volatility. Defer large lumpsum entry.

0 – 24 : Bearish / High Tail Risk 🔴 — Downtrend alignment and high 95% CVaR crash vulnerability. Risk-off caution.

ℹ️ Note: The Composite Quant Score is strictly data-driven based on historical price patterns and statistical models. It does not account for qualitative macroeconomic news, manager changes, or portfolio sector holdings.

🧪 StrategyLab™ Strategy Validation & Reality Engine

Discover what trading, timing, and holding strategies actually work best for ICICI Prudential Conglomerate Fund - Direct ….

Horizon: Capital: ₹

📈 Strategy Equity Growth Trajectory (Simulated Wealth Creation)

🏆 StrategyLab Leaderboard & Empirical Accuracy Matrix

Rank & Strategy	Category	Final Value (₹)	Total Return	CAGR	Win Rate	Max Drawdown	Sharpe	Alpha vs B&H	StrategyLab Score	Backtest Profile

💡 How StrategyLab™ Backtesting Works & Strategy Insights

🧠 Machine Learning & AI Strategies

🏆 Multi-Model Ensemble: Requires consensus from at least 3 algorithmic models to trigger an investment position, filtering false breakouts.
XGBoost / LightGBM ML: Uses multi-lag return gradients and volatility features to detect non-linear momentum regimes.
LSTM & Deep Neural Nets: Evaluates long-range temporal sequence dependencies over past market cycles.

📊 Technical & Benchmark Strategies

SMA Golden/Death Cross: Trend-following filter. Switches to 6% p.a. liquid debt cash during death cross bear markets.
RSI & Bollinger Mean-Reversion: Accumulates aggressively during panic dips and secures gains at overbought bounds.
Buy & Hold Baseline: Standard continuous investment benchmark for measuring net alpha generated.

🛡️ Note: Simulated strategy cash balances earn a realistic 6.0% p.a. liquid/overnight rate when out of the market. Past backtest alpha does not guarantee future results.