Video summary

₹1,500 Crore Fund Manager Who ONLY Buys Stocks At All-Time High | Kushal Lodha #368

Main summary

Key takeaways

Finance

Macro / Market Framing

  • Indian equities are described as “momentum-driven” rather than “value-driven.”
  • Sector leadership is rotational: when markets see deeper drawdowns and then recover, different sectors/caps outperform.

Historical drawdown / turnaround framing (Sensex-based)

  • Typical market drops are around 10–20%.
  • When markets drop >10% and then recover, the “heroes” (top sectors/stocks) change.
  • An example is referenced as a recovery from ~16% drawdown, framed with a calendar-year view (the exact year is unclear due to subtitle noise).

Quant / Momentum Framework

Rohan Mehta (Momentum) discusses a rule-based approach emphasizing:

  • Momentum
  • Quality
  • Risk control
  • Frequent portfolio monitoring

Key elements

  • Core thesis: Use data and avoid storytelling bias (comments like “data can lie / data can’t lie” appear in the subtitles).
  • Universe construction (indices used):
    • Nifty 500 Momentum: selects the top 50 stocks by momentum.
    • Quality 50 and Low Volatility / Value factors are referenced, but momentum is presented as the primary driver in India.
  • Sector rotation insight (~17-year observation):
    • Over ~17 years, no single sector stays the top-performing sector consistently for one year—top sector leadership changes repeatedly.
  • Time horizon clarification:
    • Momentum is discussed as typically working over ~1–2 years, not necessarily “short-term trading” momentum.

Asset Classes / Instruments Mentioned

  • Primary focus: equities, including sectors and market-cap buckets (large/mid/small/micro).
  • Benchmarks / indices referenced (wording varies across subtitles):
    • Nifty 500, Nifty 50, Nifty Bank, Nifty IT
    • Nifty 750 / Nifty 750 Momentum (or similar phrasing)
    • BSE 500
    • CNX Energy (used as a comparative benchmark in an example)
    • Nifty 750 (Top 750 / universe) in an “all-time-high screen” context
  • Commodities / metals:
    • Silver (with gold mentioned conceptually)
    • Commodities are also described as available via an app capability
  • Trading instruments available via an app sponsor:
    • Stocks, mutual funds, ETFs, IPOs, bonds, commodities

Core Strategy: “Only Buy Stocks at All-Time High” (with Filters)

A central recommendation framework explicitly focuses on buying stocks that meet specific “all-time-high” and relative-performance conditions.

Method / steps (as described)

A stock is considered only if it passes:

  1. All-time high price
    • Specifically all-time high, not merely “52-week high.”
  2. All-time high profits
    • Profit metric is emphasized, with wording suggesting profit excluding one-time/exceptional items (subtitle noise prevents exact formula).
  3. Outperformance vs benchmark
    • Stock must outperform:
      • Nifty 500, and
      • the relevant sector index (“belonging sector also”)

Probability / hit-rate numbers cited

Probabilities increase as more filters are added (exact definitions are somewhat unclear due to subtitle errors):

  • After early screen combination: ~66%
  • After adding “all-time high profits”: ~75%
  • After adding “outperform Nifty 500 + sector”: ~82% probability of closing positive (implied 1-year horizon)

Explicit caution / exit liability

  • If criteria fail (e.g., profit / all-time-high price / outperformance conditions), the stock is liable to be exited/trimmed.
  • The framework is not positioned as “buy & hold forever.”
  • It uses systematic exits.

Portfolio Construction, Risk Management, and Exits

Exit discipline (exit before buying)

  • Strong emphasis on determining exit points before initiating a position.
  • Exit trigger mentioned:
    • 200 EMA (200-day Exponential Moving Average) break
  • A stock is categorized by how many of the 3 criteria it satisfies:
    • All-time high price
    • All-time high profits
    • Outperformance

Rule-like hold/trim/exit logic

  • 3/3 conditions remain → Hold
  • 2/3 conditions fail → Trim / replace (subtitles suggest holding/adding logic too, but wording is inconsistent)
  • 1/3 or 0/3 → Exit

Holding size / churn

  • Target holdings discussed:
    • 15–18 stocks
  • Additional concentration guidance:
    • Around ~20 stocks as a cap (with ~10 mentioned as an “ideal” lower concentration point)
  • Churn:
    • “Specific churn is only 22%” (interpreted as controlled turnover)

Allocation approach

  • Risk management via allocation relative to assumed drawdown-to-exit.
  • Example math described:
    • If portfolio value is ₹1 crore, and a stock has ~1.2% risk derived from drawdown levels, allocation changes depending on the distance between entry and the pre-decided exit
    • Example includes “80 → 70” impacting allocation (subtitle noise prevents full clarity).
  • Key concept emphasized:
    • Avoid a static “model portfolio.”
    • Maintain a dynamic portfolio because exit points and buying prices evolve.
    • Argues that more stocks with low allocations can help dampen alpha creation.

Market-Cap Guidance (Micro / Mid / Large)

  • A capitalization universe mapping is referenced (labels/numbers appear noisy), with an implied structure such as:
    • “Top 100” = large cap
    • 100–250 mid cap
    • 251–500 small cap
    • 51–750 microcap (inconsistent labeling in subtitles)
  • Main message:
    • Microcaps and midcaps can deliver higher returns but typically experience larger drawdowns.
  • Psychological caution:
    • Investors may struggle to tolerate micro/small-cap drawdowns.
    • Explicit caution: an investor may not hold through >20% drawdown in micro/small-cap strategies.

Examples / Case Studies Mentioned

(Some ticker/company spellings are noisy due to subtitles.)

Acutus / AMI Organic (specialty chemicals; Surat-based)

  • Described as meeting:
    • all-time high price/profits + outperformance vs benchmark
  • Mentioned: an 18-point checklist, including corporate governance / litigation checks
  • Corporate governance risk: litigation presence is described as a red flag

TD Power (capital goods / energy equipment)

  • Metrics mentioned include:
    • “1141% alpha” and “2.40x” at purchase (as stated in subtitles)
  • Relative benchmark mention:
    • Outperformance vs a sector benchmark, with CNX Energy referenced as comparison

Silver

  • Bought near an all-time high period:
    • ~154% alpha
    • Allocation peaked around ~20–23%
  • Claim about trimming:
    • They state they did not trim until around price ~330
    • Later exited due to criteria/benchmark underperformance
  • Risk/positioning note:
    • Silver’s correlation to Nifty 50 is near zero (~0.08), so it behaves differently from equity beta.

Symphony (Symphony Ahmedabad)

  • Air cooler business narrative linked to:
    • solar adoption / consumer energy mix
  • Example mentioned:
    • Down ~70% at one point despite continued demand.

Go Fashion (leggings category example)

  • Emphasizes “narrative change” can hurt even good companies.
  • Suggests drawdowns may persist if consumer fashion narratives shift.

TCS

  • Example framed as:
    • Exited even though “good company”
  • Reason:
    • Failed the framework at the time of exit (not all-time-high profits/price/outperformance vs benchmark).

BALS (BLS?) and switching within sectors

  • Mentioned as outperforming relative within a same broader area (IT services context implied),
  • Used to illustrate sector internal switching while staying consistent with the framework.

Valuation / PE Stance

  • P/E valuation is stated to carry little/no weight (“PE is not working in India… no weightage” per subtitles).
  • Rationale offered:
    • Monopoly product + growth makes “cheap valuation” rare/impossible.
  • PSU carve-out: applies a negative to PSUs in the framework.
  • Very high PE example:
    • A stock example described as ~250x trailing PE (Hitachi mentioned; exact correctness unclear)
    • Later framed as PE staying very high rather than collapsing.

SEBI / PMS / Fund Context & Disclosures

  • Guest describes running a SEBI-registered PMS.
  • Fund size references (partly garbled in subtitles):
    • “1500+ crore”
    • “PMS segmentally much more than 1000 crore”
    • Family office concept and “review cap” around “5000 crores” (unclear)
  • End-of-video disclaimer:
    • “Investment in Securities Market Subject to market risk. read all the Related Documents Carefully Before Investing.”
  • Sponsor disclosure:
    • Mentions the Grow app as title sponsor (brokerage/platform).
  • No additional explicit “not financial advice” line appears beyond the market-risk disclaimer.

Presenters / Sources Mentioned

  • Kushal Lodha (host)
  • Rohan Mehta (guest; associated with Momentum)
  • Momentum / Momentum group referenced as the source of quant/index framework data
  • External data source referenced:
    • World Bank / UN (life expectancy chart)
  • Sponsor / platform mentioned:
    • Groww / G app (stock broker platform)

Original video