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Alchemy Ascent Strategy: Investment Philosophy, Data-Driven Framework & Portfolio Approach

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Alchemy Ascent Strategy

Alchemy Ascent is a high-risk high-return oriented investment strategy focused on generating long-term risk-adjusted returns through a research-driven and data-intensive investment process.

The strategy combines:

  • quantitative research
  • stock ranking systems
  • capital allocation
  • risk management
  • portfolio optimization

The portfolio aims to identify companies using parameters such as:

  • growth
  • valuation
  • quality of earnings
  • balance sheet health

Alchemy Ascent – The Strategy

Investment Objective

To generate long-term risk-adjusted returns.


Philosophy & Strategy

Alchemy Ascent follows a:

  • high-risk high-return investment approach
  • research-driven stock selection framework
  • data-intensive investment methodology

The strategy focuses on:

  • capital allocation
  • stock selection
  • portfolio optimization
  • risk controls

The investment framework seeks to identify businesses using:

  • growth parameters
  • valuation analysis
  • earnings quality
  • balance sheet strength

Fund Management

  • Fund Manager: Alok Agarwal (From 1 Oct 2023)
  • Co-Fund Manager: Deven Ved (From 1 Oct 2023)

Type of Securities

  • Equity

Basis of Security Selection

Equity investments are selected based on:

  1. Company fundamentals reflected in reported financial numbers
  2. Investment strategy research across market cycles
  3. Risk and reward analysis

Cash or cash equivalents may be held when suitable equity opportunities are unavailable.


Benchmark

  • S&P BSE 500 TRI

Basis for Benchmark Selection

As per APMI Circular APMI/2022-23/02 dated March 23, 2023.


Portfolio Allocation

  • Up to 100% allocation in equities
  • Cash portion may be invested in:
    • liquid funds
    • debt securities

Portfolio Construction

  • Typically holds 25–30 stocks across sectors

Investment Horizon

  • 3 to 5 years

Risk Profile

  • High Risk

Investment Approach

In the investment ecosystem, identifying the “right stock,” “right sector,” and “right market cycle” is often considered essential.

Alchemy Ascent emphasizes that:

  • stock allocation
  • relative portfolio ranking
  • timing
  • risk management

are equally important contributors to alpha generation.

The strategy follows:

  • disciplined investing
  • data-driven research
  • objective decision-making
  • systematic investing

The framework aims to minimize:

  • emotional bias
  • greed
  • fear
  • hope-driven investing

Alchemy Ascent seeks to deliver long-term outperformance through:

  • objective analysis
  • back-tested models
  • systematic portfolio construction

Alchemy Ascent Strategy Framework

Alchemy Ascent – What, Why & How

Alchemy Ascent What Why and How

Investment Process

Stock Selection

  • Market capitalization cut-off: INR 4,000 Crores
  • Stocks pass through multiple filters eliminating value-destroying factors
  • Additional risk and forensic analysis may veto investments
  • More than 50 quantified fundamental parameters used for screening
  • Highest-ranked stocks selected for investment consideration

Capital Allocation

  • Portfolio generally holds 25–30 stocks
  • Typical stock weight ranges between 3%–6% at cost
  • Exceptional stocks may receive allocation up to 10% at cost
  • Ranking system determines:
    • stock inclusion
    • portfolio allocation

Risk Management

A. Prohibitive Risk Controls

  • Quality filters
  • Negative scoring for unfavorable balance sheet parameters

B. Participative Risk / Exit Strategy

  • Daily change in stock ranking and score
  • Drawdown analysis
  • CAGR underperformance checks
  • Rule-based exit systems

C. Operational Risk

  • Operational risk minimized through automation

Alchemy Ascent Back-Tested Performance

Return, Risk and Period Analysis

Period: 01 January 1997 – 31 December 2018

Alchemy Ascent Back Tested Performance

Alchemy Ascent Back-Tested Rolling Returns

Five-Year Rolling Returns

Period: 01 January 1997 – 31 December 2018

Alchemy Ascent Rolling Returns

Cash Level vs Benchmark

Portfolio Started: 01 January 1997 – 31 December 2018

Cash Level vs Benchmark

Alchemy Ascent – Five-Year CAGR Returns for Different Start Dates

Five Year CAGR Returns

Five-Year CAGR Analysis

  • Different start dates represent different market cycles
  • Includes:
    • market tops
    • market bottoms
    • yearly starting periods since 1997

Near Market Top

Represents dates between a market top and three months earlier.

Near Market Bottom

Represents dates between a market bottom and three months earlier.

Multiple

Calculated as:

  • Ascent Returns ÷ BSE 200 Returns

Alchemy Ascent – Three-Year CAGR Returns for Different Start Dates

Three Year CAGR Returns

Three-Year CAGR Analysis

Different start dates represent:

  • market cycles
  • yearly starting points since 1997

Near Market Top

Tests vulnerability during market declines.

Near Market Bottom

Tests dynamic deployment capability.

Mid Bull Run

Tests ability to catch up during rapidly rising markets.

Multiple

Calculated as:

  • Ascent Returns ÷ BSE 200 Returns

Why Alchemy Ascent

  • Unbiased stock selection approach
  • Back-tested across more than 21 years
  • Covers multiple market cycles
  • Data-driven and disciplined investing
  • Ability to scan over 2000 stocks daily
  • Focus on long-term CAGR generation
  • Objective investment methodology
  • Active portfolio management framework
  • Average cash level around 5%
  • Churn ratio approximately 1–1.2x

Alchemy Ascent Portfolio Performance

Alchemy Ascent Portfolio Performance

Alchemy Ascent Portfolio Composition

Alchemy Ascent Portfolio Composition

About Alchemy Capital Management

Alchemy Capital Management is a Portfolio Management Services provider in India registered with SEBI as a Portfolio Manager.

The firm operates from Mumbai and provides bespoke portfolio management solutions.


Our Investment Philosophy

Long-Term Investing Approach

The investment philosophy focuses on generating:

  • consistent long-term returns
  • superior absolute returns
  • performance across market cycles

The strategy invests in:

  • growth companies
  • scalable businesses
  • companies with strong management teams

Business Selection Framework

The investment process prefers businesses with:

  • large and growing opportunities
  • competitive advantages
  • scalable operating models
  • higher-than-average ROCE

Management Evaluation

Management quality is considered critical for long-term business success.

The framework evaluates management teams based on:

  • execution capability
  • alignment with business outcomes
  • governance standards
  • capital allocation discipline

Tactical Investing

While growth businesses form the core portfolio, the strategy may also invest in:

  • deep value opportunities
  • special situations
  • cyclical opportunities arising during market cycles

Frequently Asked Questions (FAQs)

What is the Alchemy Ascent Strategy?

Alchemy Ascent is a data-driven portfolio management strategy focused on generating long-term risk-adjusted returns through disciplined equity investing.


What type of investment approach does Alchemy Ascent follow?

The strategy follows:

  • quantitative investing
  • research-driven stock selection
  • disciplined portfolio construction
  • systematic risk management

What is the typical portfolio size?

The portfolio generally holds approximately 25–30 stocks across sectors.


What benchmark does the strategy use?

The benchmark used is the S&P BSE 500 TRI.


What is the investment horizon?

The recommended investment horizon is 3–5 years.


What factors are considered during stock selection?

The strategy evaluates:

  • company fundamentals
  • valuation
  • growth
  • earnings quality
  • balance sheet strength
  • risk-reward ratios

Final Thoughts

Alchemy Ascent combines:

  • quantitative research
  • systematic investing
  • disciplined risk management
  • portfolio optimization
  • long-term investing principles

The strategy focuses on objective and data-driven portfolio management across varying market cycles.