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Q1 :

Jim Rogers

• Orientation: Top-down (macro, countries)

• Asset Focus: Commodities, currencies, equities

• Valuation Lens: Supply-demand cycles, monetary cycles

• Risk Approach: Contrarian, cautious, Own research. Doesnt like inside information

• Decision Drivers: Macro trends, currency convertibility, liquidity

• Others : Tax agnostic

Michael Steinhardt

• Orientation: Opportunistic trader

• Time Horizon: Short carving out little gains — 5 percent, 10 percent, 15 percent

• Asset Focus: Equities, macro trades

• Risk Approach: Aggressive, tactical

• Decision Drivers: Market psychology

• Portfolio Construction: Long short , tactical rotation

Philip Caret

• Orientation: Bottom-up fundamental

• Time Horizon: Long-term

• Asset Focus: Mid/large-cap equities

• Valuation Lens: Balance sheet strength (low D/E, high current ratio)

• Risk Approach: Conservative

• Decision Drivers: Fundamentals, Mgmt, favorable regulatory climate

• Portfolio Construction: Diversified

George Soros

• Orientation: Macro reflexive

• Time Horizon: Agnostic. Eg- “Four years is a long time to be under water!”

• Asset Focus: Currencies, global equities

• Valuation Lens: Reflexivity, perception-driven

• Risk Approach: Aggressive, contrarian

• Decision Drivers: Reflexivity cycles, regulatory shifts, psychology

• Portfolio Construction: Concentrated, high conviction

George Michaelis

• Orientation: Bottom-up

• Time Horizon: Long-term ; “You must invest with the one hundred-year storm in mind”

• Asset Focus: Equities

• Valuation Lens: ROE/ROA focus, earnings power

• Risk Approach: Low risk ; Always has excess liquidity ; min 10%

• Decision Drivers: Fundamental profitability drivers, Cash generation

• Portfolio Construction: Buy-and-hold, selective.

John Neff

• Orientation: Value man . Bottom-up

• Time Horizon: Long-term

• Asset Focus: Equities (income focus) ; "low-P/E shooter."

• Valuation Lens: Low P/E, dividends, cash flow

• Risk Approach: Conservative, disciplined

• Decision Drivers: Company fundamentals, dividend certainty

• Portfolio Construction: Concentrated , patient, disciplined exits. “hurdle rate”

Ralph Wanger

• Orientation: Bottom-up

• Time Horizon: Long-term

• Asset Focus: Small-cap growth

• Valuation Lens: Trend leadership

• Risk Approach: Opportunistic

• Decision Drivers: Sectoral growth trends

• Portfolio Construction: Diversified across small firms

Peter Lynch

• Orientation: Hybrid (growth + value)

• Time Horizon: Long-term

• Asset Focus: Equities (all categories)

• Valuation Lens: GARP, special situations, cyclicals

• Risk Approach: Pragmatic

• Decision Drivers: Company fundamentals, “invest in what you know”

• Portfolio Construction: Broadly diversified (hundreds of stocks)

Q2:

It would be Peter Lynch for the following reasons

• Lynch’s “invest in what you know” principle helps inspire ordinary investors like myself to leverage everyday observations & then build from there.

• He blended growth and value (GARP: Growth At a Reasonable Price), which makes his approach adaptable across market cycles.

• Lynch ran a massively diversified portfolio (hundreds of stocks) yet still delivered outsized returns. They way he hustled to run such a big PF is an inspiration by itself.

• From this book , I learnt that

o Less than 5 percent of Lynch's trades are bigger than 10,000 shares.

o in a matter of weeks had sunk 3 percent of Magellan's capital in LaQuinta

o Insider tips never worked, M&A Rumours never worked (i.e) "the sizzle, not the steak," as he says — and again he will bite, and again he will lose.

o Lynch looks particularly at unit growth, even more than earnings growth

o "The very best way to make money in a market is in a small growth company that has been profitable for a couple of years and simply goes on growing" says Lynch.

o The stock Lynch says he most wants to avoid is the hottest stock in the hottest industry — the one that gets the most favourable publicity, that every investor is told about by other investors

o His dream, he says, somewhat surprisingly, is the growth company in a slow-growth industry: You know something has to be profoundly right about the situation

o "I don't care whether the stocks are going up, down, sideways." There is, however, one exception: catching the turn. That maneuver attracts Lynch strongly

o "if a company has a good balance sheet when I buy it, that gives me a big edge. If it doesn't turn around I can perhaps lose a third of what I invest. But if it does turn around, then I can do very well indeed."

Q3: Michael Steinhardt represents the super trader’s archetype.. His mantra was “you never make big money without getting in the way of danger.” He deliberately positioned himself where volatility and risk were highest, believing that’s where outsized gains could be carved.

J. Rupert's avatar

Q1:

Google Doc Table -- https://docs.google.com/document/d/e/2PACX-1vSXtz739obvbOWzNSrAarnZlJXmpiQmMpfS6h0X-iagGks0TilewKFOOJj8bY7JOtn7FP18uWDic_en/pub

Q2:

It's a tough call among Carret, Wanger and Michaelis, but I like Michaelis the best. His approach was business-focused, low risk, practical, and tolerant of lagging the market averages. He was patient. Many of his criteria for identifying good companies reminded one of Fisher. He didn't rely on rigid formulas but built on the sustainable 'whys' of success. I like his method of monitoring a group of interesting companies, even if they weren't currently at the right price, so that he was prepared to act when opportunities arose. His approach has aspects I can model.

Q3:

Michael Steinhardt was my least favorite, followed by Soros and most of the other traders/speculators. Trading at the frequency that he did ('innumerable transactions') seems like a consuming, breakneck way to make money, leaving little room for other meaningful activities. Using borrowed money as leverage is not appealing to me, and trying to make profit by shorting failing companies feels like the opposite of investing (building/growing something). He didn't conduct most of his own research but paid others to do it for him, and he didn't seem to take an interest in understanding businesses. Although he did have some good tips, there's not much in his approach I want to model.

Q4:

I had two variations for idea generation based on Wanger. In one I used an industry I’m familiar with and the other I left broad. I added the odds of the catalyst happening to see what the AI put weight on (it leaned optimistic on all of them, so that might not really be of value).

Use Wanger's approach of looking for companies that benefit from changing trends. Identify the changing trends in NAME OF INDUSTRY. For each relevant trend, compile a list of promising companies that fill support roles.

Or

Identify unrelated macro or micro trends across demographics, consumer behavior, logistics, energy systems, materials science, healthcare, climate adaptation, regulatory shifts, digital infrastructure, and global economic realignment. AI may be included as only one trend.

For each trend:

1. Explain the trend in 2–4 sentences, and why or why not it is durable over a multi‑year horizon.

2. Identify 3–5 companies that play support, enabling, or infrastructure roles (not the obvious headline disruptors).

3. For each company, provide a structured assessment with:

- Investment Thesis

- Bear Case Catalysts, Bull Case Catalysts and Odd of each in next 5 yrs

Prioritize companies with:

• strong balance sheets

• durable competitive advantages

• multi‑year growth potential

• low hype exposure

• business models that benefit from the trend but do not depend on perfect execution

Avoid herd behavior by excluding:

• over‑crowded AI names (unless they solidly check all the boxes)

• meme stocks

• speculative biotech

• unprofitable early‑stage companies

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