George Soros Reflexivity

 To understand George Soros, you have to understand that he was not just a stock picker. He was a philosopher operating in markets. Most investors try to predict the future. Soros tried to understand how people collectively distort reality — and how those distortions themselves change reality.

That is the core of reflexivity.

And that is why Stanley Druckenmiller admired him so much. Druckenmiller himself said Soros taught him:

“It’s not whether you’re right or wrong that matters, but how much money you make when you’re right and how little you lose when you’re wrong.”

But underneath that statement lies an entire framework of thinking.

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IV Table

 

IV	1 Day	2 Days	1 Week	1 Month
10	0.63 / 1.26	0.89 / 1.78	1.41 / 2.82	2.89 / 5.78
12	0.76 / 1.52	1.07 / 2.14	1.69 / 3.38	3.47 / 6.94
15	0.95 / 1.90	1.34 / 2.68	2.12 / 4.24	4.34 / 8.68
18	1.13 / 2.26	1.60 / 3.20	2.54 / 5.08	5.20 / 10.40
20	1.26 / 2.52	1.78 / 3.56	2.82 / 5.64	5.78 / 11.56
25	1.58 / 3.16	2.23 / 4.46	3.53 / 7.06	7.23 / 14.46
30	1.89 / 3.78	2.67 / 5.34	4.23 / 8.46	8.67 / 17.34
35	2.21 / 4.42	3.11 / 6.22	4.94 / 9.88	10.12 / 20.24
40	2.52 / 5.04	3.56 / 7.12	5.64 / 11.28	11.56 / 23.12
45	2.84 / 5.68	4.00 / 8.00	6.35 / 12.70	13.00 / 26.00
50	3.15 / 6.30	4.45 / 8.90	7.05 / 14.10	14.45 / 28.90
60	3.78 / 7.56	5.34 / 10.68	8.46 / 16.92	17.34 / 34.68
70	4.41 / 8.82	6.23 / 12.46	9.87 / 19.74	20.23 / 40.46
80	5.04 / 10.08	7.12 / 14.24	11.28 / 22.56	23.12 / 46.24
90	5.67 / 11.34	8.01 / 16.02	12.69 / 25.38	26.01 / 52.02
100	6.30 / 12.60	8.90 / 17.80	14.10 / 28.20	28.90 / 57.80

Understanding Implied Volatility and Expected Moves (1σ, 2σ, 3σ)

 With Real Examples for Silver (IV = 80%) and Gold (IV = 30%)

Implied Volatility (IV) is one of the most important concepts in derivatives and risk management. It tells us how much the market expects an asset to move over the coming period, based on option prices. But how do we translate a quoted IV into an expected price move over various timeframes like a day, three days, a week, or a month?

In this post, we’ll explain:

• What implied volatility means

• How to calculate expected 1σ, 2σ, and 3σ moves

• Practical examples using Silver and Gold with assumed IVs and prices

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🧠 What Is Implied Volatility?

Implied volatility is the volatility “priced into” an option. It is the market’s consensus estimate of how much the underlying asset’s price is expected to move over a year — expressed in percentage terms.

But IV by itself isn’t directly a daily move. To estimate expected price ranges over shorter periods, we use the square-root-of-time rule:

$$\text{σ (over N days)} = \text{Annual IV} \times \sqrt{\frac{N}{252}}$$

Why 252? Because the financial markets typically use ~252 trading days per year to annualize volatility.

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📏 What Are 1σ, 2σ, 3σ Moves?

In a normal distribution:

• 1σ move (one standard deviation) means there’s ~68% probability the price stays within that range.

• 2σ move covers ~95% probability.

• 3σ move covers ~99.7% probability.

So if you can estimate σ over a timeframe, you can gauge how far the price might move — statistically — with decreasing probability as you go from 1σ to 3σ.

Gold to global debt and gdp ratios

 

First full quarter of Indusind bank: Analysts estimate

 

First Full Quarter under new management. Its the most important quarter which will show the way for investors and buildup of terminal value. When a stocks terminal value assessment becomes dicey the stock comes to its replacement cost which is book value for financial companies. Once terminal values which contributes to the bulk of a stock's value and premium to book starts getting built in the stock price rise to reflect that change. Indusind bank stock price should start going up after result as terminal value starts getting built in and 850 being the book value becomes the base on which this buildup happens.

Major commodity exchanges and its impact in India

 Major global exchanges for gold and silver trading operate during the following windows in Indian Standard Time (IST). These timings are critical for Indian traders as they dictate when domestic prices are most volatile.

Major Global Exchanges (IST)

The global bullion market runs nearly 24 hours a day from Monday to Friday. 

• Tokyo Commodity Exchange (TOCOM): Opens at 5:30 am IST and runs until 11:30 am IST, with a second session later in the day.
• Shanghai Gold Exchange (SGE): The morning session begins around 7:00 am IST.
• London Bullion Market (LBMA): Active trading typically begins at 1:30 pm IST and continues until 10:30 pm IST.
  • Gold Fixes: Occur twice daily at 4:00 pm and 8:30 pm IST.
  • Silver Fix: Occurs once daily at 5:30 pm IST.
• COMEX (New York): Electronic trading is nearly continuous, but the most active session opens at 6:30 pm IST and runs until 3:30 am IST the following day. 

Indian Market: Multi-Commodity Exchange (MCX)

MCX is the primary exchange for gold and silver trading in India. 

• Morning Session: 9:00 am to 5:00 pm IST.
• Evening Session: 5:00 pm to 11:30 pm IST (summer) or 11:55 pm IST (winter, to align with US Daylight Saving changes). 

Market Impacts in India

1. Opening Volatility (9:00 am IST): MCX opens by reacting to the overnight moves in New York and the early morning developments in Asian markets (Tokyo/Shanghai).
2. Increased Liquidity (1:30 pm IST): Volatility often increases as the London market opens, which sets the global benchmark for physical gold.
3. Peak Volatility (6:30 pm – 10:30 pm IST): This is the most critical period for Indian traders. The "Golden Cross" occurs when London and New York sessions overlap while MCX is in its evening session. Major US economic data (inflation, jobs reports) is released during this window, causing sharp price swings. 

Why Oil-Rich Countries Often Underperform in the Long Run

The paradox of easy wealth, weak nations, and the silent advantage of scarcity

For decades, oil has been viewed as the ultimate economic blessing. A natural lottery ticket. Black gold beneath the soil promising prosperity, power, and permanence.

And yet, history tells a far more uncomfortable story.

Many of the world’s most oil-rich countries — Venezuela, Nigeria, Iraq, Angola, Libya — have underperformed economically, politically, and socially over long periods. Meanwhile, countries with little or no natural resources — Japan, South Korea, Germany, Taiwan — have built resilient, innovative, and wealthy societies.

This contradiction is known as the resource curse. But the phrase understates what is really happening.

This is not a curse.
It is a structural distortion.

elliot wave projection - 2nd scenario (more probable)

 

1) Key pivots used (from your uploaded monthly series)

I’m using the following monthly closing pivots (rounded to sensible precision):

• Covid low (2020) = ₹235.20 (your CSV / earlier discussion)

• Jan-2024 high (Wave-1 top in the bullish count) ≈ ₹1,700 (your chart / earlier statements)

• Mar-2025 low (the recent corrective low / Wave-2 low in bullish count) = ₹649.85 (appears in your uploaded monthly file)

• Latest monthly close (Dec 2025 in your file) = ₹870.10

• 2018 peak (prior large cycle top) ≈ ₹2,000 (reference level mentioned earlier)

If any of these exact pivot values differ on your side, tell me the corrected figure and I'll immediately re-run the numeric section — but the analysis below assumes the numbers above.

Elliot Wave Projection for Indusind Bank

 

⭐ Elliott Wave Analysis of IndusInd Bank (Weekly, 25-Year View)

Why Investors Need an Iron Gut to Build Extraordinary Wealth

 — Understanding Drawdowns, Time Corrections & the Psychological Cost of Compounding

Every investor dreams of buying a multibagger, going to sleep, and waking up wealthier. Charts showing 10x, 20x, and 50x returns make us fantasize:
“2 crores will become 10 crores… life will change.”

But this fantasy hides the real truth.

Multibaggers don’t move in a straight line.
They move through chaos, confusion, deep drawdowns, and painful time corrections.
The journey of a great stock is a journey of doubt.

And unless you develop the emotional capacity—the iron gut—to sit through that pain, you will never see the end result.

This article is about understanding that pain so deeply and clearly that you accept it as normal, not as a mistake.

Expected Move Calculation

 🧩 What “Expected Move” Means

The expected move tells you how much the stock is expected to move (up or down) over a given period — based purely on option prices (i.e., implied volatility), not on direction.

It’s derived from the standard deviation implied by option prices — essentially, a 1σ (one standard deviation) move in probability terms.

That means:

• There’s about a 68% probability the stock stays within ±1σ range over that time.

The Silent Structural Breakdown in India’s Microfinance Model

The Indian microfinance industry was once hailed as the most powerful tool for financial inclusion — small-ticket loans, group discipline, and high repayment rates made it look like a social and economic miracle. But beneath this seemingly robust model lies an uncomfortable truth few market participants want to acknowledge: the traditional microfinance engine — the local ring leader system — is breaking down.

And when the distribution engine fails, scalability vanishes.

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The Real Microfinance Machinery: The Ring Leader

On paper, microfinance runs on Joint Liability Groups (JLGs) — groups of 5–10 women taking collective responsibility for each other’s loans. In practice, this structure functions only because of a local intermediary — the ring leader or center leader — who brings together women from different sections of the village, helps form the JLGs, and coordinates weekly repayment meetings.

The field officer from the microfinance institution (MFI) depends completely on these ring leaders. They mobilize borrowers, maintain social discipline, and ensure repayment. In return, they earn an informal commission — often 5–10% of the loan disbursed.

This unofficial layer made the model scalable. Without it, disbursing and collecting thousands of small ₹30,000–₹50,000 loans in rural areas is operationally unviable.

Is GOLD Rally start of crypto collapse

In my view more than gold and silver rise, its the end game for crypto currency it seems. Too many digital numbers valued absurdly. 110000 dollar or around 1 crore for 1 bitcoin which is nothing but a number in computer.

Crypto bubble has lasted tool long and is bound to fall 99% like all bubble bursts and the smart investors and insiders are already shifting to gold and silver it appears. When crypto is worth nothing then to protect wealth their investors can buy gold at even 5 times price and will still be able to protect 20% of their holding in crypto.

There is some group who has cordinated and created this crypto mania and they eventually have to exit and shift to something tangible. In my view GOLD and silver sudden rise is the result of that crpto collapse which has just started. 

Lets SEE!

Bank crisis and recovery

 

Bank	Crisis Period & Nature	Stock Crash	Turnaround Driver	Recovery & Returns	Key Learnings
Wells Fargo (U.S.)	(2016–2020) Fake accounts scandal, CEO resignation, $3B fine.	$60 → $22 (−63%)	CEO Charlie Scharf (ex-JPMorgan) focused on governance cleanup.	$22 → $60 (≈3x in 4 yrs)	Retail trust can return if culture + controls are rebuilt.
JPMorgan Chase (U.S.)	(Early 2000s, merger & risk scandal from derivatives exposure, “London Whale” 2012 loss)	$65 → $32 (−50%)	Jamie Dimon restored discipline, fortress balance sheet, strong risk management.	Became top global bank, $32 → $200+	Culture, risk management, and leadership credibility define premium valuation.
Bank of America	(2008–2011) Countrywide & Merrill Lynch acquisitions; mortgage fraud, massive losses.	$55 → $5 (−90%)	CEO Brian Moynihan rebuilt capital, shed toxic assets, stabilized business.	$5 → $45 (≈9x in 10 yrs)	Balance sheet cleanup and capital rebuilding restore long-term confidence.
Citigroup	(2008 crisis & earlier frauds, recurring leadership turmoil)	$550 → $10 (split-adjusted)	Rebuilt under Vikram Pandit, then Michael Corbat, now Jane Fraser.	Partial recovery only	Cultural repair incomplete; franchise remains undervalued.
Standard Chartered (UK/Asia)	(2013–2016) Money-laundering violations, compliance issues, overexposure to risky EMs.	£19 → £4.5 (−75%)	CEO Bill Winters (ex-JPMorgan) restructured business, cut costs.	£4.5 → £8 (≈2x)	Emerging market focus needs strong compliance systems to regain trust.
Deutsche Bank (Germany)	(2010s–2019) Libor manipulation, money laundering, weak capital ratios.	€100 → €6 (−94%)	CEO Christian Sewing restored capital, exited investment banking exposure.	€6 → €14 (≈2.3x)	Credibility still rebuilding, but shows early signs of turnaround.

Bank	Crisis Low (Approx.)	Time to Double	3-Year Return	5-Year Return	Catalyst / Leadership
Wells Fargo	$22 (2020 COVID + scandal low)	~10 months ($45 by 2021)	~2.5× ($22→$55 by 2023)	~3× ($22→$65 by 2025)	CEO Charlie Scharf; governance rebuild
JPMorgan Chase	$32 (2009 crisis low)	~11 months ($64 by 2010)	~2.5× ($32→$80 by 2012)	~6× ($32→$190 by 2014)	Jamie Dimon’s “fortress balance sheet” era
Bank of America	$5 (2011)	~14 months ($10 by 2012)	~3.5× ($5→$18 by 2014)	~9× ($5→$45 by 2019)	Brian Moynihan rebuilt capital, cost discipline
Standard Chartered	£4.5 (2016)	~18 months (£9 by 2018)	~2×	~2.3×	CEO Bill Winters stabilized EM franchise
Deutsche Bank	€6 (2019)	~24 months (€12 by 2021)	~2.3×	~2.5×	Christian Sewing restored capital & focus

The Great Railway Mania (1843–1847)

📍 Background

• Britain’s first major speculative boom in industrial equities.

• The trigger: 1843–1844 saw real success stories (Great Western, Midland, London & Birmingham).

• Parliament approved over 1,000 railway companies and projects during the boom.

• Many were paper companies with no track built — funded via deposits and leverage.

• Between 1843–1846, the market capitalization of railway shares quadrupled.

Understanding Beta, Equity Risk Premium, and Company Risk Premium

In equity valuation, three key concepts often create confusion for investors: beta, the equity risk premium (ERP), and the company-specific risk premium (CRP). Together, these drive the cost of equity, which directly impacts how we value stocks.

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1. Beta – Market Risk

Beta measures a stock’s sensitivity to the overall market. If the market goes up by 1%, a stock with:

• Beta > 1 usually rises by more than 1% (more volatile than the market).

• Beta < 1 usually rises by less than 1% (less volatile than the market).

• Beta ≈ 1 tends to move in line with the market.

Important: Beta captures systematic risk (linked to the market), not company-specific problems. A stock can underperform massively over 5 years and still have a beta above 1 if it tends to move sharply with market cycles.

Understanding the Gordon Growth Model (GGM) Through Shriram Finance & IndusInd Bank

Investors often struggle to evaluate whether a bank or financial stock is cheap, fairly valued, or expensive. Traditional valuation metrics like P/E ratios can be misleading in financials, where Return on Equity (ROE) and Book Value (BVPS) growth drive long-term value. This is where the Gordon Growth Model (GGM) provides an elegant framework.

In this article, we’ll:

• Break down how GGM works for banks.

• Use Shriram Finance (FY22–FY25) as a real-world case study.

• Apply the model to project potential IndusInd Bank valuations by FY27 under different ROE scenarios.

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🔹 The Gordon Growth Model Refresher

The GGM is derived from the Dividend Discount Model but adapted for banks, where P/BV multiples are closely linked to profitability.

The formula for justified P/B multiple is:

$P/B = \frac{ROE - g}{r - g}$

Where:

• ROE = Return on Equity

• g = Sustainable growth = ROE × Retention ratio

• r = Cost of Equity (typically 12% in India)

👉 The intuition: Banks that deliver higher ROE relative to their cost of equity deserve higher P/B multiples.

Can Rajiv's Background help Indusind Bank recover its Valuation multiple

Rajiv Anand’s background is actually a quiet but important edge for IndusInd right now. Let’s break it down point-wise:

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1. Equity research background

• Early in his career, Rajiv spent time in equity research and capital markets before moving into banking/AMC.

• This gave him direct exposure to how analysts and investors model banks: what line items they reward (e.g. ROA, ROE, NIM stability, fee income quality, provisioning discipline) and what red flags crush valuation (e.g. weak governance, opaque disclosures, asset-quality surprises).

• That lens is not common for most career bankers — but it is second nature for Rajiv.

Oil discovered in hell

Warren Buffett Warns Markets Aren’t Always Rational, Says If There Was ‘Oil Discovered in Hell’ Then ‘All of the Oil Men’ Would March There.

Warren Buffett, the chairman and CEO of Berkshire Hathaway (BRK.B) (BRK.A), has often used parables and anecdotes to illustrate deeper truths about markets and human behavior. One of the more memorable is the story passed down from his mentor Benjamin Graham: “Oil discovered in hell.” The phrase comes from an old story Graham told to explain why investment professionals often act in ways that defy rational analysis. In the tale, an oil prospector arrives at the gates of heaven, only to be told by St. Peter that the compound reserved for oil men is already full. The prospector asks for permission to say just four words to those inside. Granted the chance, he shouts, “Oil discovered in hell.” At once, the entire group of oil men rushes off, leaving heaven’s gates open. When St. Peter offers the prospector a place inside, the prospector hesitates, saying he may as well join the others — after all, there might be some truth to the rumor. 

Will Durant's 10 Greatest Thinkers

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🌏 Confucius (551–479 BCE) – Chinese philosopher

• “It does not matter how slowly you go, so long as you do not stop.”

• “Our greatest glory is not in never falling, but in rising every time we fall.”

• “When it is obvious that the goals cannot be reached, do not adjust the goals, adjust the action steps.”

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🏛️ Plato (427–347 BCE) – Greek philosopher

• “The greatest wealth is to live content with little.”

• “An unexamined life is not worth living.”

• “Courage is knowing what not to fear.”