Investor Second Brain

Gold Holding

Base case- 10%
Overweight- 15%
Extreme bullish- 20%-25%

Overweight stance. To be built in a staggered manner as some interim volatility would be there. There is also a risk of Indian Govt reducing Import duty once the currency appears stable.

Overall, de-dollarisation and Geopolitics should continue to support Gold over a medium to long term.

Medium term: 3-4 years
Long term: 5-7 years

Shravan Sreenivasula (Avendus/ICICI), 28-Sep: asset-allocation discussion notes. Source document: Asset_Allocation_Yesterday_312_PM.pdf. "The manager" below is Shravan Sreenivasula.
Part 2 of 2: income side (REITs, InvITs, SIFs, traditional fixed income, deposits), gold, silver, liquidity management and other alternatives. Context from part 1: Total Portfolio Approach with two buckets, Growth and Income (~50/50); the strongest tactical call is overweight Indian large caps.

## REITs

- REITs are viewed as income-producing assets with an equity-like growth component.
- Return can come from distributions, contractual rental escalation, asset appreciation and the closing of a discount to NAV.
- The manager’s target is approximately **8–9% post-tax over a three-year period**, subject to buying at the correct valuation.
- His illustrative return build-up was approximately 5% post-tax distribution yield, 2.4% net rent escalation and 1.7% annualised discount capture.
- The most important tactical rule is to **buy REITs only at a meaningful discount to NAV**.
- Fresh allocation should stop when a REIT trades at a premium to NAV.
- A popular or oversubscribed IPO should not be purchased merely because demand is strong.
- An offering around 118 relative to the cited NAV was rejected, while a later discounted secondary or OFS price was considered more attractive.
- If NAV is ₹100 and the unit is purchased at ₹90, even partial discount closure can add materially to the return.
- Attractive entry pricing may lift total returns above the normal 8–9% target, but such upside should not be assumed.
- Distribution quality matters: recurring operational cash flow is preferable to distributions funded through borrowing.
- Investors should examine NAV, occupancy, rent escalation, tenant concentration, lease expiries, debt and refinancing before buying.
- Sponsor quality and the ability to acquire assets accretively are important.
- The transcript’s exact REIT names are uncertain because of speech-to-text errors and should be reconfirmed.

## InvITs

- InvITs were characterised as more **fixed-income-like** than REITs.
- Their principal role is predictable cash flow and distributions rather than substantial rental or asset-value growth.
- The underlying SPVs and the sustainability of distributions are more important than headline yield alone.
- Listed InvITs can provide liquidity and observable price discovery.
- Private or privately listed InvITs may offer better pricing because specialist funds can negotiate with sellers.
- The manager mentioned an approximate ₹2 crore minimum ticket for certain private InvIT opportunities.
- Private access may generate additional return through negotiated discounts and early access to funding requirements.
- These benefits must be weighed against limited liquidity and management or performance fees.
- Investors capable of performing direct due diligence may not need an expensive intermediary for listed exposure.
- The manager discussed a fund combining REIT and InvIT exposure, but the exact product name and portfolio constraints should be reconfirmed.

## SIFs

- SIFs form a significant part of the manager’s proposed income allocation.
- The indicative allocation discussed was approximately **20% of the total portfolio**.
- The strategies may combine option writing with high-quality credit or other income-generating instruments.
- The stated objective was approximately **10% pre-tax and 8.5% post-tax**.
- The manager regards SIFs as a possible substitute for private credit.
- Private credit may advertise approximately 14% pre-tax but produce only around 8.5–9% after tax, while carrying worse liquidity.
- SIFs were presented as potentially offering similar post-tax returns with better liquidity and lower credit risk.
- Headline yield alone is insufficient; the options strategy, leverage, collateral policy and credit quality need examination.
- Relevant due-diligence measures include worst monthly drawdown, crisis behaviour, liquidity terms, counterparty exposure and concentration.
- An option-income strategy should not be mistaken for risk-free fixed income because it can suffer during gap moves or volatility regime changes.

## Traditional fixed income

- The manager has moved away from conventional AAA bond funds and traditional open-ended fixed-income allocations.
- He believes the multi-decade bond rally from approximately 1995 to 2020 cannot simply be extrapolated.
- As yields normalised, the asymmetric benefit of holding long-duration bonds reduced.
- The income portfolio should therefore combine tax efficiency, liquidity and differentiated return sources.
- A fixed-income return near 10% was described as very good, not as a low-risk entitlement.
- Reaching that return may require some market, credit, options or real-asset risk.
- Conventional bonds should not be the portfolio’s only defensive asset.
- Deposits and genuinely liquid instruments still remain important for near-term obligations and stability.

## Deposits and cash

- Approximately 10% was allocated to deposits or other tax-efficient structures in the illustrative portfolio.
- Their main role is liquidity and stability rather than maximum return.
- Cash should be treated as part of the income allocation.
- The manager does not favour holding excessive idle cash for several years while waiting for private-market capital calls.
- He prefers liquid assets capable of earning a reasonable return and being sold when money is required.
- This approach requires careful cash-flow forecasting because marketable assets can decline immediately before a capital call.
- Near-term obligations should therefore not be backed entirely by volatile equity.
- Operating cash, emergency reserves and imminent capital calls should remain in genuinely low-volatility, highly liquid instruments.

## Gold

- Gold is treated primarily as **portfolio insurance**.
- The strategic allocation discussed was approximately **10%**.
- The manager believes gold has historically performed well during Indian equity-market corrections.
- Gold should not be maintained mechanically at exactly 10% regardless of relative movements.
- If equities decline materially and gold appreciates, part of the gold allocation should be sold and redeployed into equities.
- The example used was approximately a 20% equity fall accompanied by a 20% rise in gold.
- This makes gold a source of tactical liquidity during market stress.
- Gold is intended to reduce portfolio fragility and enable counter-cyclical equity purchases.
- After deploying gold into a correction, the strategic allocation may be rebuilt later.
- The broader observation is that investors are increasingly substituting some bond exposure with gold or real assets.

## Silver

- Silver is a smaller, more tactical allocation than gold.
- The indicative range discussed was approximately **5–10% when valuation is attractive**.
- The transcript mentioned a price trigger around “below 60,” but the currency, unit and exact reference are unclear.
- Silver has greater industrial sensitivity and volatility than gold.
- It should not automatically receive the same permanent allocation as gold.
- Sharp recent performance is a reason for disciplined rebalancing rather than momentum chasing.
- The total gold-and-silver allocation might rise toward 20% during an unusually attractive entry opportunity, but the transcript is ambiguous and this should be confirmed with the manager.

## Liquidity management

- Liquidity management is one of the most important themes in the discussion.
- The portfolio should always contain more readily liquidable assets than expected capital calls and other obligations.
- The manager cited gold and selected marketable funds as assets that may be converted to cash within one or two days.
- Illiquid high-yield bonds and private alternatives should not be treated as cash substitutes.
- A formal liquidity schedule should compare obligations, available assets and liquidation time.
- Liquidity should be evaluated after applying drawdown haircuts to volatile assets.
- The worst outcome is a market correction occurring when capital is required but cannot be raised without accepting a large loss.
- Business operating requirements, household expenses and investment commitments should be mapped separately.
- The relevant objective is not maximum portfolio yield; it is the ability to meet obligations and buy assets during dislocations.

## Other alternatives

- Art, collectibles, films, real estate and Bitcoin were acknowledged but excluded from the manager’s core framework.
- Such assets should be considered only where the investor has specialist knowledge or a genuine informational edge.
- Illiquidity, uncertain valuations and difficult exit conditions make them unsuitable as replacements for core liquidity.
- Passion investments should remain separate from the institutional asset-allocation process.
- No material core allocation was recommended to these assets in the discussion.

Shravan Sreenivasula (Avendus/ICICI), 28-Sep: asset-allocation discussion notes. Source document: Asset_Allocation_Yesterday_312_PM.pdf. "The manager" below is Shravan Sreenivasula.
Part 1 of 2: portfolio framework, indicative allocation, equity views (India, mid/small caps, US, EM, Europe, Korea/Japan), private equity, tactical process and return expectations. Part 2 covers the income side, gold/silver and liquidity.

## Portfolio framework

- Use a **Total Portfolio Approach**, grouping everything into only two buckets: **Growth** and **Income**.
- A balanced starting point is approximately **50% Growth and 50% Income/alternatives**.
- Avoid creating too many small asset-allocation categories; manage the portfolio based on total risk, liquidity and return.
- Diversification is necessary because the best-performing asset class changes from year to year.
- Make large tactical changes only when the valuation “pendulum” reaches an extreme.
- The manager believes Indian large-cap valuations currently represent such an extreme.
- Formal asset-allocation calls are made quarterly, while the investment team monitors conditions weekly.
- Tactical decisions should be forward-looking rather than based only on recent returns.
- The three potential sources of portfolio alpha are: the equity-income split, the large-cap versus small/mid-cap tilt, and manager selection.
- The stated blended portfolio objective is approximately **12–15% annually**, implying a possible doubling period of roughly six to seven years if achieved.

## Indicative allocation

- Approximately **50% of the portfolio** may be allocated to equity and other growth assets.
- Within listed equity, the normal split is approximately **90% domestic and 10% international**.
- This translates to an indicative starting allocation of about **45% domestic equity and 5% international equity** in the overall portfolio.
- Private equity may represent approximately **5–10% of the growth bucket**, rather than 5–10% of the total portfolio.
- The manager described the 50% income side as approximately **20% REITs/InvIT-type assets, 20% SIFs and 10% deposits or tax-efficient structures**.
- Gold has a separate strategic role of approximately **10%**, although the transcript is unclear about whether it sits inside or alongside the 50/50 structure.
- Silver is opportunistic rather than a mandatory permanent allocation.
- An alternative diversified construction mentioned in the discussion would limit any single major risk exposure to around 35%, but this was an illustrative framework rather than the principal model.

## Indian equity

- The strongest current tactical call is to **overweight Indian large caps**.
- The manager believes the Nifty 100 is at its cheapest relative valuation versus small- and mid-caps in approximately eight years.
- The preferred large-cap range is approximately **40–75% of domestic equity**.
- The current overweight position is around **60–70% of domestic equity in large caps**.
- Conservative portfolios may take large caps toward 75%, but the manager generally would not exceed that level.
- A neutral large-cap position appears to be around 50–60%.
- If the view turns negative, large-cap exposure might be reduced toward 50%, rather than removed entirely.
- The overweight is based on relative valuation, extended underperformance and unusually negative investor sentiment.
- Several large companies have delivered negligible returns for years, creating what the manager sees as “peak pessimism.”
- He views this lack of investor interest as a contrarian buying opportunity.
- The decline from roughly 26,000 to 23,000 in the Nifty was treated as a deployment opportunity.
- The manager stated that capital was added materially during the earlier correction from approximately 25,000 through 24,000 toward 23,000.
- He cited approximately 18 times trailing earnings as an important historical support area.
- He also compared the long consolidation following the October 2021 peak with the extended recovery period after the Global Financial Crisis.
- His preferred implementation is through large-cap and high-quality flexi-cap managers.
- He expects good active managers to potentially generate around 2–4% alpha, although that is an objective rather than an assured outcome.

## Mid- and small-caps

- Broad small- and mid-cap exposure should currently be **underweight** relative to large caps.
- The manager cited valuations of approximately 70–100 times earnings in parts of this universe.
- He believes popular narratives and “stories” have moved ahead of underlying fundamentals.
- Small- and mid-cap indices had corrected less than the Nifty in the cited period, suggesting that their relative valuation excess had not fully unwound.
- Recent outperformance should not be interpreted automatically as a favourable entry point.
- The manager does not recommend eliminating all small- and mid-cap exposure.
- Exposure should be selective and based on earnings, valuations and company-specific developments.
- High-quality flexi-cap managers are preferred over pure small- or mid-cap category funds.
- Investors should examine the actual underlying market-cap exposure of each fund rather than relying only on the scheme label.
- Existing small/mid exposure should be reduced or redirected gradually rather than necessarily exited indiscriminately.

## US equity

- The manager is **overweight US equities** because he believes economic and corporate growth remain strong.
- His US call is broader than an AI or Nasdaq call.
- He prefers exposure to **non-AI and broader US companies**, rather than relying exclusively on crowded mega-cap AI names.
- Negative AI-related news had not broken the Nasdaq trend, illustrating that momentum can remain powerful despite valuation or sentiment concerns.
- The message was not necessarily to short AI; it was to avoid making AI concentration the entire international strategy.
- Broad US participation offers exposure to American growth while reducing dependence on a narrow technology cohort.

## Emerging markets

- The manager is positive on emerging markets.
- The main thesis cited is the gradual **de-dollarisation** of global trade and reserves.
- Broad, diversified emerging-market exposure is preferred.
- Narrow country or index bets are not preferred as the primary implementation.
- The opportunity should be expressed through a broad theme rather than by chasing one recently successful market.

## Europe

- The outlook on Europe is improving.
- The manager expects higher defence spending and other GDP-linked fiscal expenditure to stimulate economic activity.
- Europe is a positive but more measured allocation than the high-conviction Indian large-cap call.
- Exposure should be broad and selective rather than concentrated in one narrow European theme.

## Korea, Japan and narrow markets

- Markets such as Korea and Japan had experienced very strong recent performance.
- The manager considered some of this performance potentially overdone.
- The tactical instruction was to **wait rather than chase** after a large move.
- Narrow Hong Kong- or single-index-type positions were also not preferred.
- The international portfolio should not rotate merely toward whichever market has most recently performed best.

## Private equity

- Private equity belongs in the Growth bucket.
- The indicative allocation is approximately **5–10% of the growth bucket**, equivalent to around 2.5–5% of the overall portfolio under a 50/50 framework.
- Capital is normally called over several years rather than fully at the beginning.
- The manager does not favour holding the entire undrawn commitment in low-yield cash throughout that period.
- He prefers backing future calls with assets that can be liquidated quickly.
- A liquidity surplus should always be maintained above expected private-market obligations.
- Capital-call reserves may include cash, gold, listed securities or equity-savings funds, depending on the timing and risk involved.
- Volatile equity should not be counted one-for-one against a capital call due soon.
- The closer the obligation, the safer and more liquid its backing asset should be.
- The portfolio should avoid being forced to sell risky assets during a simultaneous market drawdown and capital call.

## Tactical process

- The manager does not advocate continuous tactical trading.
- Major changes are made only when valuations or sentiment become extreme.
- Tactical ranges are preferable to binary all-in or all-out decisions.
- Market corrections are viewed as buying opportunities when the long-term thesis remains intact.
- Geopolitical developments, tariffs and trade arrangements are monitored as forward-looking catalysts.
- A tariff-driven sell-off could potentially be treated as a buying opportunity if the underlying impact is expected to be temporary.
- The manager is watching developments involving the US, India, Israel and Iran.
- These macro considerations influence timing but do not replace bottom-up valuation analysis.
- Portfolio decisions should distinguish price appreciation from actual fundamental improvement.
- Assets that have risen mainly through multiple expansion should be treated cautiously.
- Recent performance alone should never be the reason for increasing an allocation.

## Return expectations

- Domestic-equity beta was estimated at approximately **11–13%**.
- Good manager selection may potentially add around 2%, producing an estimated **13–15% equity return**.
- Exceptional active managers were discussed as possibly generating 3–4% alpha, but this is not guaranteed.
- REIT/InvIT-type income was estimated at approximately **8–9% post-tax** when purchased correctly.
- SIFs were estimated at approximately **10% pre-tax and 8.5% post-tax**.
- Gold’s long-term expected return was discussed at approximately 10%.
- A 10% return from the overall income portfolio was described as an ambitious but strong result.
- Combining approximately 15% from the growth side and 10% from the income side supports a rough blended expectation of 12–15%.
- These figures are planning assumptions and should not be treated as promised returns.
- Taxes, fees, entry valuation, manager performance and liquidity costs can materially reduce realised returns.

Axis Bank gold report (dated September 3, 2026) is bullish on gold, forecasting a gradual rise toward USD 6,000 per troy ounce or higher, rather than an immediate surge.

Key points

Fiscal dominance is the main thesis: US fiscal-financing pressures and Treasury actions may increasingly constrain monetary policy, suppress real interest rates, weaken the dollar, and support gold.

Further Fed tightening looks unlikely: Despite hawkish Jackson Hole comments, the author expects rates to remain unchanged through the rest of 2026.

Gold demand is recovering: US gold ETFs have returned to inflows, central-bank purchases are picking up, and Indian physical demand appears to be improving at lower prices.

Dollar hedging is supportive: Foreign investors' large exposure to US assets may encourage greater currency hedging during periods of US policy uncertainty, benefiting gold.

Demand is not universally strong: Chinese bar-and-coin demand and overall jewellery demand remain relatively weak.

Price action

Gold opened August at USD 4,074.75/oz, climbed to USD 4,603.07 by the third week, and closed at USD 4,428.46. Treasury-buyback announcements, dollar weakness, geopolitical tensions, and institutional demand drove the rally, while hawkish Fed commentary caused the late-month pullback.

Bottom line

The report recommends a structurally bullish but tactically patient stance: gold should trend higher, but limited inflation and money growth suggest a slow, volatile path. Major downside risks are rising real yields, renewed Fed hawkishness, dollar strength, and persistently weak Chinese demand.

Return, timeframe and drawdown analysis (operator's planning framework)

If gold rises from the report's reference price of approximately USD 4,431.77/oz to USD 6,000/oz, the expected USD return is about 35.4% before costs and taxes. Gain to USD 6,000 by entry price: USD 4,000 = 50.0%, USD 4,250 = 41.2%, USD 4,431.77 = 35.4%, USD 4,500 = 33.3%, USD 4,750 = 26.3%, USD 5,000 = 20.0%.

Timeframe: the report does not state a target date, but Exhibit 1's dotted projection reaches approximately USD 6,000 around September 2028, about 24 months from the report date, implying an annualized return near 16.4%. Possible interim milestone around USD 5,000 during 2027 (illustrated path, not a formal target). Nature of the move: a steady grind higher as fiscal-dominance pressures and dollar-hedging demand develop gradually.

Drawdown: the report gives no explicit downside target. Its historical chart shows gold recently had an approximately 20-25% peak-to-trough correction even within the bullish thesis. Planning scenarios from USD 4,431.77 (not an Axis forecast): routine correction 5-10% (USD 4,210-3,989); significant correction 10-15% (USD 3,989-3,767); stress drawdown 20-25% (USD 3,545-3,324). Plan for a 10-15% interim drawdown and size so a temporary 20-25% decline does not force selling.

India-specific return: INR return = (1 + gold USD return) x (1 + USD/INR change) - 1. If gold reaches USD 6,000 and the rupee depreciates 5%, INR return is about 42.2%; if the rupee appreciates 5%, about 28.6%, before Indian duties, taxes, spreads, fund expenses and tracking differences. Given the companion India macro view (INR 97 by Dec 2026, INR 100 by Jun 2027), rupee depreciation is the base case, which favours INR-denominated gold exposure such as MCX gold or gold ETFs.

The report's central message is: India's headline growth is strong, but weakening domestic consumption, rising inflation, fiscal pressures and external-flow risks point toward a weaker rupee and higher interest rates. Globally, fiscal dominance in the US and Japan supports higher bond term premia and gold prices.

Key takeaways

Growth: Q1 FY27 GDP growth of 7.8% is considered credible, supporting a 7.3% FY27 forecast. However, slowing retail sales, passenger traffic, unsecured credit and consumer confidence indicate softer underlying consumption.

Inflation: Imported inflation, food prices, expensive crude, possible fuel-price increases and mobile-tariff hikes could temporarily push CPI above 6%. Average FY27 CPI is forecast around 5.1-5.2%.

Fiscal position: The report expects 20-30 basis points of fiscal slippage. Immediate additional borrowing appears manageable, but structurally higher spending could raise bond supply and yields over time.

Interest rates: The repo rate is projected at 5.75% in FY27 and 6.00% in FY28, with the 10-year G-sec yield near 7.25%.

Rupee: Capital-flow weakness, gold imports, reduced FDI and RBI forward-dollar obligations create depreciation pressure. The report forecasts INR 97 per USD by December 2026 and INR 100 by June 2027.

Asset valuations: Indian equities and bonds are described as expensive relative to global alternatives, creating vulnerability if domestic or global discount rates rise.

Global outlook: US and Japanese fiscal requirements may constrain central banks and increase long-term bond yields. Europe is expected to face less fiscal dominance, while the Fed's hurdle for another rate increase remains high.

Gold: The report remains structurally bullish, citing ETF demand, central-bank purchases and currency-risk hedging; its long-term target is approximately USD 6,000 per troy ounce.

Practical interpretation

The overall positioning is cautious on Indian bonds and the rupee, selective on richly valued Indian equities, and constructive on gold. The most important near-term variables are Indian consumption, CPI pass-through, fuel and telecom prices, capital flows, RBI forward positions and, globally, US inflation.

Crypto Intelligence Digest
Page 1
Crypto Intelligence Digest
Outlook PST · folder: Crypto · 142 emails · Aug 21 – Sep 19, 2026
EXECUTIVE SUMMARY
Overview
The window opened with fireworks. On August 19 the US Treasury under Scott Bessent doubled long-end bond
buybacks from $2B to $4B, Trump name-dropped Hyperliquid at a White House summit, and a $2.7B short squeeze
detonated. Bitcoin ran from a $64,100 low to a $77,712 Sunday close — the single biggest weekly dollar gain in
Bitcoin's history. ETFs confirmed it: $1.92B flowed into spot BTC funds that week, the largest of 2026.
Underneath the green candles, three tensions built. First, the rally was thin — perps did $73.2B of volume against just
$7.8B of spot, and top-of-book depth stayed roughly 30% thinner all month. Second, the macro backdrop turned
hostile: a blowout 162K August payroll, CPI stuck at 3.4%, and Brent crude up 36.7% pushed September rate-hike
odds from 39% to over 92%. Third, Washington: the CLARITY Act market-structure bill was heading for a
make-or-break Senate vote.
Both catalysts broke against crypto in a single 24-hour window. On September 15 CLARITY's cloture vote failed 49–50
— ten short of 60, sunk less by crypto policy than by a fight over Trump's $1.4B of personal crypto income. A day later
the Fed hiked to 3.75–4.00%, its first move up since 2023, and pushed its dot plot higher with no cuts penciled in until
2028. Bitcoin broke to $74,910 and roughly $637M was liquidated — yet crypto held up better than equities, and by
Sep 17 the SEC handed the sector a lifeline: an innovation exemption letting tokenized stocks trade onchain without
waiting on Congress.
The month's real story ran beneath the price chart: capital is moving onchain regardless of legislation. 21 of the world's
largest banks (BofA, Citi, Goldman, UBS, Deutsche, Wells Fargo) committed to a shared dollar stablecoin; Circle
launched its Arc L1 with BlackRock, DTCC, Visa and Mastercard as validators; Robinhood Chain's daily DEX volume
went from $147M to $1.92B; and tokenized real-world assets crossed $38.86B. The recurring bull thesis — from Tom
Lee to Jordi Visser — reframed Bitcoin as "the purest AI trade," the settlement rail for the billions of AI agents coming
next.
KEY MARKET NUMBERS
The figures that mattered
Asset
Figure
Source
Bitcoin
Ran from a $64,100 low (Aug 19) to a $77,712 Sunday close — the
biggest weekly dollar gain in BTC history
Coinstack · Aug 25
Bitcoin
Squeeze high $80,258 (Aug 27); post-CLARITY low $74,910 (Sep 15)
Coinstack / The DeFi Edge
· Sep
Short squeeze
$3.1B+ of shorts liquidated in 24h (Aug 19-20); single biggest was a
$48.8M BTC position on Hyperliquid
Cryptopolitan · Aug 21
BTC ETFs
+$1.92B week ending Aug 21 (largest of 2026); IBIT alone $1.33B
Cryptopolitan · Aug 24
BTC ETFs
$3.8B three-week streak (Aug 21-Sep 4); AUM crossed $101.3B;
cumulative +$55.6B since Jan 2024
Coinstack / Cryptopolitan ·
Sep 8-9
ETH ETFs
Record +$697M week (Aug); later a 12-session inflow streak, $216M
single day
Cryptopolitan / Coinstack ·
Aug-Sep
Ethereum
Held the $2,350 area; closed ~$2,477, best of the four majors in
CLARITY week (-1.5% w/w)
OAK Research / Coinstack
· Sep 15


Crypto Intelligence Digest
Page 2
Asset
Figure
Source
Solana
Touched $109.21 intraday (Aug 27), +40% in August; spot SOL ETF
record $60.91M in a day
Coinstack / Cryptopolitan ·
Sep 1
Zcash (ZEC)
+166% YTD to a $1,385 high (first 4 figures since 2017); $2.14B open
interest
Cryptopolitan · Sep 17
Hyperliquid (HYPE)
+50-62% in August, hit $86.71 (Aug 27); 73% perp-DEX share, ~$800M
annualized revenue
Cryptopolitan / GLC
Research · Sep
Fed funds
Hiked 25bps to 3.75-4.00% (Sep 16), first hike since 2023, unanimous
12-0
Milk Road / OAK Research
· Sep 17
September hike
odds
Repriced from ~39% (Aug 21) to 59% (Sep 8) to 86% (Sep 15) to ~92%
(Sep 16)
NextFin / Coinstack /
Cryptopolitan
Inflation
Aug CPI +0.4% m/m, +3.4% y/y; core +0.3%; PPI +5.4% y/y
Cryptopolitan / Coinstack ·
Sep 15
Oil
WTI $100.05 (+9.37% w/w); Brent ~$105, +36.7% off August lows on the
Iran conflict
NextFin / Milk Road · Sep
US debt & M2
National debt >$40T, deficit ~6% of GDP, interest >$1.1T; M2 a record
$23.22T
Milk Road / The Pomp
Letter · Aug
30-yr Treasury
Spiked to 5.33% (a ~two-decade high) mid-August; still above 5.3% by
Sep 11
Milk Road / Adam Morgan
McCarthy
Stablecoins
Aggregate supply +$2.42B to $303.2B; USDe reached $4.33B (+11.2%
in 30d)
The DeFi Edge / Alea
Research · Aug-Sep
Robinhood Chain
DEX volume $147M (Aug 1) to $1.92B daily ATH; >$800M TVL; up to
$8.2M fees in a day
The DeFi Edge / Milk Road
· Sep
Tokenized RWA
Crossed $38.86B on-chain ($15.9B US govt debt); ex-stablecoin RWAs
$13.6B to $31.5B YoY
Cryptopolitan / Dune · Sep
15
Tokenized stocks
928.4K holders in August (+120% MoM); Solana holders 424,894 to
801,439 in under two weeks
Cryptopolitan · Sep 2 / Sep
14
Liquidations
(CLARITY)
~$637M wiped as the cloture vote failed; BTC briefly under $75K
The blocmates Newsletter ·
Sep 17
Fear & Greed
69 (Aug 25) to 73 (Sep 8) to 61 (Sep 15) — held in 'Greed' all month
Coinstack (Alternative.me)


Crypto Intelligence Digest
Page 3
KEY THEMES
What ran through the inbox
01  The biggest weekly dollar gain in Bitcoin's history
A Treasury buyback, a White House summit and a stacked short book combined on Aug 19 to send BTC from ~$64K to
the high-$70Ks in 48 hours. Over $3.1B of shorts were force-closed in a day; the move was driven far more by perps
($73.2B volume) than spot ($7.8B), which is why analysts spent the rest of the month asking whether real demand was
underneath it.
“The last time we had this explosive of a one-day move deep in bear market was April 2019. Volatility had evaporated, no one
was trading, no catalyst on horizon... Instant vibe-shift. You could feel it then. You can feel it today.”
Luke Martin, via The Pomp Letter · Aug 21
“$3.1 billion+ of short positions were liquidated in less than 24 hours, $1.8 billion in Bitcoin only and another $1.2 billion in
Ethereum.”
Cryptopolitan · Aug 21
02  Bessent's buybacks and the return of the debasement trade
The single most-cited catalyst of the month was the Treasury doubling its long-end buyback cap from $2B to $4B to
cap 30-year yields that had spiked to a ~two-decade high of 5.33%. Bulls read it as the money printer restarting;
skeptics, including Bessent's old mentor Druckenmiller, called it dangerous price-fixing that would spill into the dollar
instead.
“issues debt, then goes out & prints money to buy it back...the money printer is back on.”
Ran Neuner, via Cryptopolitan · Aug 21
“trying to cap long-term yields without fixing underlying fiscal deficits is “playing with fire”.”
Robin Brooks (Brookings), via Milk Road · Sep 1
03  From rate-cut hope to a surprise hike
The macro tape flipped over four weeks. A 162K August payroll (vs ~53K expected), CPI stuck at 3.4%, and oil surging
past $100 on the Iran conflict repriced the September FOMC from a near-certain hold to a near-certain hike. The Fed
delivered 25bps to 3.75-4.00% on Sep 16 — a unanimous 12-0 — and raised every number on its dot plot.
“162,000 against a 53,000 consensus. Yuge.”
Milk Road · Sep 8
“By the Fed’s own numbers, the first real cuts don’t land until 2028.”
Milk Road · Sep 17
04  The CLARITY Act's collapse — and the Trump problem
The market-structure bill that would split SEC/CFTC jurisdiction failed its Senate cloture vote 49-50 on Sep 15, ten
votes shy of the 60 needed. The crypto provisions were largely finished; what killed it was a standoff over
conflict-of-interest rules aimed at the president's family, after Trump's disclosure showed $1.4B of 2025 crypto income.
“The bill failed even to advance to debate after a procedural vote lost 49 to 50, ten votes shy of the 60 needed.”
Cryptopolitan · Sep 16
“More than $500M from World Liberty Financial, the company he founded with his sons. Another $635M tied to the $TRUMP
memecoin.”
The DeFi Edge · Sep 17


Crypto Intelligence Digest
Page 4
05  Regulators route around Congress
The day after CLARITY died, the SEC and CFTC acted anyway. The SEC issued a five-year 'innovation exemption'
letting tokenized US stocks trade onchain through AMMs — with strings: real (non-synthetic) shares, permissioned
venues, auditable open-source contracts, and an issuer opt-out. Separately, the House passed the first-ever crypto tax
bill in two days.
“Then the SEC walked in with an insane gift: an “innovation exemption” for trading tokenized stocks onchain. No law required.”
The DeFi Edge · Sep 17
“The SEC issued an innovation exemption that lets tokenized U.S. stocks trade onchain through AMMs.”
Milk Road · Sep 18
06  21 banks, one stablecoin — and the Swift weekend test
TradFi stopped watching and started building. Twenty-one global banks committed to a shared USD stablecoin
targeting H1 2027, pledging GENIUS and MiCA compliance. In parallel, Swift's shared ledger ran live tokenized-deposit
transfers (DBS-Citi, HSBC-Standard Chartered) that settled cross-border in minutes over a weekend.
“A group of 21 international financial institutions has committed to establish a new company to support the issuance of
stablecoins.”
Eric Chau, X Change · Sep 3
“A US dollar cross-border payments test conducted by DBS and Citi using tokenized deposits over the Swift Digital Ledger
completed on September 5 took just minutes.”
Cryptopolitan · Sep 8
07  Spot ETFs erase almost a full year of losses
After bleeding ~$4.5B in June, spot BTC ETFs pulled in $3.8B across three weeks (Aug 21-Sep 4), the best stretch of
the year, cutting 2026 net flows to roughly -$1B and pushing AUM past $101B. Then CLARITY week reversed it:
$462.73M of outflows across four sessions. ETH ETFs, meanwhile, ran a 12-session inflow streak.
“US spot Bitcoin ETFs remain in the proverbial hole $1 billion after money left minus money that came in since Jan.”
Cryptopolitan · Sep 9
“cumulative net inflow into these funds is about $55.6 billion since the beginning of their listing in January 2024, with total AUM
standing at $101.3 billion.”
Cryptopolitan · Sep 9
08  Robinhood Chain and the memes-and-stocks mania
The month's hottest venue. Robinhood Chain's DEX volume went from ~$147M (Aug 1) to a $1.92B daily ATH, with
>$800M TVL and ~128K wallets. The driver was 'degens' pairing tokenized stocks with memecoins — $BONER
pushed tokenized $HIMS to 4x the real stock — generating real fees even as the underlying trades were throwaways.
“$BONER, a memecoin, pushed the tokenized $HIMS from around $29 to $132 over the weekend! Even more interestingly, the
actual $HIMS stock itself barely moved.”
The DeFi Edge · Sep 10
“the memecoins themselves are throwaway trades, but real businesses are forming on Robinhood Chain and pulling in real fee
revenue.”
Ish Asad (Bitwise), via Milk Road · Sep 11


Crypto Intelligence Digest
Page 5
09  Uniswap's buyback machine finds its fuel
The UNIfication proposal turned trading fees into open-market UNI buy-and-burns, but the fuel only arrived with
Robinhood Chain. Uniswap holds ~99% of the chain's stock-token liquidity; the fee switch (live Jul 27) routed ~$8.7M
into buybacks and drove UNI +88%. That's ~$90M/yr of supply retired against a ~$3.5B cap.
“the Robinhood chain has contributed ~$8.7m toward $UNI buybacks and burns since the fee switch activated on July 27. In the
same period, $UNI is up 88%.”
Castle Labs · Sep 8
“Standard Chartered’s Geoff Kendrick set a $100 UNI target for the end of 2030 back in June - then last month, said it might be
too low.”
Milk Road · Sep 3
10  The stablecoin yield wars go consumer
Every issuer is now competing for your cash balance. Ethena launched Pay (a self-custodial neobank) as its USDe
base hit $4.33B and its fee-switch vote passed; Galaxy, Figure and Nexo pitched 8%-plus yields; and Renzo shipped a
delta-neutral basis trade that runs inside your own Hyperliquid account. Rates are largely sponsor copy — verify live.
“Users get a self-custodial account, a virtual IBAN, and card access, with promotional balance rewards up to 6% and cashback
up to 5%.”
Alea Research · Sep 10
“USDe supply reached $4.33B on September 4, adding $436M, or +11.2%, in 30 days.”
Alea Research · Sep 10
11  Tokenization's real problem is utility, not listings
Tokenized RWAs crossed $38.86B (anchored by $15.9B of US government debt), but the research desks argued the
listing count is a vanity metric: 77.6% of tracked tokenized assets are inert 'wrappers' with an average utility score of
2.04/5. The winners are the composability rails, not whoever lists the most assets.
“77.6% of tracked tokenized assets are still just “wrappers” with minimal on-chain functionality, and the average Tokenization
Progress Index sits at just 2.04 out of 5.”
Cryptopolitan (citing Pantera) · Sep 15
“What is the point of having thousands of RWAs, fragmenting liquidity, if no one uses them?”
Castle Labs · Sep 14
12  Bitcoin as 'the purest AI trade'
A thesis kept recurring across the inbox: AI agents need cheap, fast, permissionless rails to transact, and crypto is that
layer. Tom Lee warned agents could invent their own money if legacy rails fail them; Jordi Visser called BTC the purest
AI trade and floated a $50T-$100T market. The proof point: x402 machine payments hit 8.7M in a week.
“if agents can’t run fast, cheap microtransactions on legacy rails like Visa or JP Morgan, they won’t wait around, they’ll just
create their own monetary system and cut humans out of the loop entirely.”
Tom Lee (Fundstrat), via Milk Road · Aug 30
“he’s now calling for the entire space to hit $50T to $100T within five years.”
Jordi Visser, via Milk Road · Sep 13


Crypto Intelligence Digest
Page 6
13  The AI-safety schism spills into crypto
Anthropic CEO Dario Amodei called for labs to 'pace' capability jumps (Musk: 'Dario is right'), while a departing
Anthropic researcher warned of existential risk and the UN's Guterres added AI to his existential-threat list. Crypto's
loudest bull, Pomp, dismissed it all as a psyop — a rare open feu

Avendus Wealth — Market Strategy Equities | Managed Solutions (Listed Equities) Desk | July 07, 2026

HEADLINE VIEW: Large-caps to start participating in the rally now. Strong recovery led by domestic liquidity; earnings recovery and policy support keep medium-term outlook constructive.

MARKET METRICS (as of June 30, 2026):
- Nifty 23,866: +1.4% 1M, +6.9% 3M, -6.5% 1Y
- Nifty Junior 71,629: +0.8% 1M, +18.7% 3M, +3.8% 1Y
- Nifty Midcap 61,798: +0.1% 1M, +17.4% 3M, +3.4% 1Y
- Nifty Smallcap 18,863: +4.0% 1M, +24.1% 3M, -1.1% 1Y
- BSE 500 35,959: +1.5% 1M, +11.7% 3M, -2.9% 1Y
- Sensex 76,479: +2.3% 1M, +6.3% 3M, -8.5% 1Y
- Dow Jones 52,319: +2.5% 1M, +18.7% 1Y
- S&P 500 7,499: -1.1% 1M, +20.9% 1Y
- MSCI EM 1,723: -1.7% 1M, +40.9% 1Y
- MSCI EM Asia 987: -1.4% 1M, +46.7% 1Y
- Dollar Index (DXY) 101: +2.3% 1M
- USD/INR 95: rupee appreciating despite rising DXY
- Gold $4,008/oz: -11.7% 1M, -14.3% 3M, +21.3% 1Y

STRATEGY / OUTLOOK:
- 12-month potential returns: Nifty-50 = 11%, BSE-500 = 12% (assuming 12mth fwd P/E settles at 10-year average multiples)
- Nifty-50 technical: Buy on dips within a broad range of 23,000-25,200. A month-end close below 23,200 = bearish bias. Next support below 23,000 is 22,200.
- Deployment (top-down): 65% of target corpus deployed around May-26 closing levels. Deploy 25% more if Nifty slips to ~23,600.
- Cues for market sentiment: (1) Earnings impact commentary related to the war, (2) FII flows, (3) Macro data — dollar strength, war impact on crude oil and commodity prices.

MARKETS IN JUNE 2026 — WHAT HAPPENED:
- Global equities recovered sharply during Q1FY27 after the brief Iran-Israel conflict was contained and crude oil retraced from its spike.
- June: Nasdaq flat, S&P 500 and MSCI EM Asia both -1% in USD terms.
- Crude-sensitive Indian markets outperformed: Nifty 50 / BSE 500 +1.7% / +1.9% in USD terms. NSE mid and small cap +0.5% / +4.4% in USD terms.
- FIIs remained net sellers in June: -INR 54,000 crores. Over last four months, FIIs have been net sellers every month — longest consecutive selling streak since June 2022.
- Robust SIP flows and retail buying gave some respite to the outflows.
- FPI ownership in Indian equities remains near a 14-year low, leaving little room for further outflows given expected earnings momentum strengthening.

KEY EVENTS IN JUNE:
1. Government announced reforms to attract long-term foreign capital, including REMOVAL OF WITHHOLDING TAX on interest and capital gains tax on FPI G-Sec investment.
2. RBI MPC unanimously retained policy repo rate at 5.25%, maintained stance at "neutral", announced measures to incentivise foreign capital inflow.
3. US and Iran signed an MoU to end the war, but fresh attacks in the Middle East revived fears of a renewed escalation in the US-Iran conflict.
4. Accenture trimmed its revenue growth guidance and flagged weak demand visibility — raising concerns about global IT spending.

OUTLOOK 2H 2026:
- Middle East conflict, elevated crude oil prices, persistent FPI outflows, rupee weakness and weak earnings kept the market under pressure in 1H.
- Second half expected to be better as most macroeconomic concerns are easing and the worst of FPI selling appears behind us.
- Sectors backed by strong earnings visibility and structural growth (rather than short-term market momentum) expected to outperform.
- LARGE-CAPS, which underperformed over the last 6 months, expected to now participate in the rally going forward.
- Mid and smallcap stocks may see some consolidation while large-caps outperform.

KEY MONITORABLES FOR COMING MONTHS:
1. Monsoon progression and El Niño development.
2. 1QFY27 earnings and management commentary.
3. US-Iran peace deal.
4. Cool-off of the AI trade globally.

EARNINGS:
- FY26-28e consensus earnings CAGR for Nifty-50 / BSE-500 = 16.5%.
- Bloomberg consensus growth forecast: Nifty-50 / BSE-500 = 17% / 15% for FY27 and 16% / 18% for FY28.
- Avendus view: FY27 earnings may get downgraded by 2-3% over the coming months.

VALUATIONS:
- Nifty 1yr-fwd P/E at 18.3x (slight discount to 10-year average).
- NSE-Midcap 1yr-fwd P/E at 27.6x — trading at 15% premium to 10-year average — may cause consolidation.
- NSE-Smallcap 1yr-fwd P/E at 23x — trading at 32% premium to 10-year average — may cause consolidation.
- BSE 500 1yr-fwd P/E at 20.4x (close to 10-year average). BSE 500 P/B at 2.9x (close to 10-year average).
- S&P 500 1yr fwd P/E at 20.2x (between +1SD level and 10-year average).
- DJIA 1yr fwd P/E at 20.8x (nearing +2SD level of 10-year average).
- MSCI EM 1yr-fwd P/E at 11.3x (still below 10-year average).
- Yield Gap (BEER ratio): in NEUTRAL zone despite sharp equity rally.
- 10-year GOI bond yield at 6.75%. Debt still relatively attractive vs equities near-term.

SECTOR PREFERENCES:
- Favourable risk-reward balance: CONSUMER DISCRETIONARY, BANKS, IT.
- Selective plays: Auto, NBFC, Power, Chemicals, Textiles, Telecom, Pharma.
- Potential tactical plays: Media, Metals, Healthcare.
- On the sidelines: Infra, Insurance, Realty (growth uncertainty); Capital Goods, Defense, New Age Tech, OMCs (scope of earnings deceleration).

NSE SECTOR PERFORMANCE (June 2026):
- Best 1M: Nifty Bank +6.1%, Nifty Private Bank +6.1%, Nifty Realty +6.0%, Nifty Media +5.0%, Financial Services +4.7%, PSU Bank +4.1%, Pharma +4.0%.
- Worst 1M: Nifty IT -9.6% (worst sector), Metal -6.9%, FMCG -1.2%.
- Best 3M: Realty +24.7%, Pharma +15.1%, Media +13.0%, Private Bank +13.7%, Bank +11.8%, Financial Services +10.7%.
- 1Y winners: Metal +31.3%, PSU Bank +17.9%, Pharma +14.9%, Auto +10.9%.
- 1Y losers: IT -32.5%, Media -15.7%, Realty -15.9%, FMCG -11.1%.

THEMATIC:
- Nifty CPSE was the WORST performer -6.7% in June.
- Nifty MNC was the ONLY thematic sector in the green +0.86%.
- Nifty PSE -4.63%, Services -2.58%, Consumption -2.25%, Infrastructure -1.49%.

KEY SECTOR VALUATIONS:
- IT P/E: FY26 17.8, FY27e 15.2, FY28e 14.1 — implied EPS growth FY27e +17%, FY28e +7%.
- Banks P/B: FY26 1.7, FY27e 1.8, FY28e 1.6 — growth +7% / +19%.
- Auto P/E: FY26 33.4, FY27e 24.6, FY28e 20.4 — growth +36% / +21%.
- Metals P/B: FY26 2.8, FY27e 2.2 — implied growth +87% FY27.
- Oil & Gas P/E: FY26 7.8, FY27e 11.2 — implied earnings -30% FY27.
- Pharma P/E: FY26 38.5, FY27e 33.8 — growth +14%.

COMMODITIES:
- Brent Crude $73/bbl: -20.8% 1M, -33.1% 3M (Middle East tension eased). +7.9% 1Y.
- Gold $4,008/oz: -11.7% 1M, +21.3% 1Y (+72.3% 2Y).
- Aluminium $3,070/ton: -18.5% 1M.
- Copper $13,349/ton: -1.8% 1M, +32.8% 1Y.
- Coking Coal $243/ton: +1.8% 1M, +36.4% 1Y.
- Steel $489/ton: -3.0% 1M, +9.4% 1Y.

FLOWS:
- Monthly DII flows sharply positive, absorbing FII selling.
- FII net -INR 54,000 crores in June; 4th consecutive month of net FII selling.

MSCI EM WEIGHTS (India trend):
- India's MSCI EM weight continues declining trend.
- Current (Jun-26): India 19%, Korea 23%, Taiwan 28%, China 19%, Other 11%.
- India was 25% in Jun-24 vs 19% now.

JULY 2026 EVENTS CALENDAR (India):
- 15 Jul: Unemployment Rate
- 17 Jul: Foreign Exchange Reserves
- 24 Jul: HSBC India PMI Manufacturing + Bloomberg India Economic Survey
- 31 Jul: Fiscal Deficit YTD + Bank Credit YoY

The Federal Reserve announced an unexpected 50 basis points rate cut today, driving heavy bullish sentiment across all major indices. Inflation fears seem to be cooling rapidly, giving NIFTY and BANKNIFTY significant upside potential for the remainder of Q3 as foreign capital flows back into emerging markets.

China Orders 10,000 Humanoid Robots Into 'Work Mode'

Brief Buzz:
Beijing just told its humanoid robots to stop performing party tricks and punch a clock. A new government directive wants more than 10,000 robots doing real jobs — sorting parcels, running factory lines, even disaster relief — by the end of 2026.

- China's industry ministry (MIIT) and state-asset regulator SASAC ordered local governments and state-owned firms to file deployment plans by June's end and progress reports by November.
- Targets include 100+ high-value use cases across manufacturing, logistics, healthcare, retail, and emergency response — pushing robots from demos toward real, task-oriented work.
- Beijing startup Robotera already runs humanoids across 10+ logistics centers for China Post and SF Holding, reporting orders in the thousands this year.
- It's also a data play: real-world deployments generate the operational data needed to sharpen the robots' AI and hardware.

Why Should You Care?
If China pulls this off, it sets a global benchmark for what "commercially ready" robots look like — and accelerates a future where humanoids handle warehouse and factory jobs, reshaping labor markets worldwide.

Context for the Indian F&O book:
The humanoid-displacement wave compounds the AI-automation thesis already in play from the Xpheno IT-services paste — manufacturing + logistics labour pools are next in line after services. India's manufacturing PLI-linked names (Tata Electronics ecosystem, Dixon, Amber, Kaynes) and logistics (Delhivery, Mahindra Logistics, TCI Express, Container Corp) could see margin re-rating expectations shift. Globally, the trade is in robotics/automation infrastructure (Symbotic, Ocado, Rockwell, Fanuc, Yaskawa, ABB) and the China A-share humanoid ecosystem (UBTech HKEx, Ji Hua Lab, Ji'an Robotics). For an NSE-only F&O retail trader, India direct beneficiaries are thin; the trade is mostly via index-level exposure and FII-flow consequences.

Jobseekers Flood Market after Global Tech Layoff Wave
Indian pros looking for opportunities up 4x

Some get proactive amid growing job insecurity
By Sreeradha Basu, Bengaluru
Source: Economic Times — Xpheno study for ET

On the Hunt
- Over 56,000 Indian pros across 20 tech companies actively seeking jobs
- Six months ago, this cohort was around 5,000
- Tech hiring at 28-month low amid cautious spending, AI boom, global uncertainty

Cities / Categories Most Affected
- Bengaluru (36%) and Hyderabad (19%) make up more than half of all jobseekers
- Mid-level pros form largest segment at 66%

The number of Indian professionals from global technology companies actively seeking jobs has surged more than fourfold in the past month amid a wave of global tech layoffs, unleashing a flood of talent into the country's already-strained job market.

More than 56,000 Indian professionals from 20 major tech companies, which have each undertaken over 1,000 global layoffs since January, are now actively looking for opportunities, according to a study for ET by specialist staffing firm Xpheno. The number stood at just over 12,000 a month ago.

While some entered the market after layoffs, many others are proactively exploring opportunities — getting ahead of further cuts.

Tech hiring across India sits at a 28-month low. The combination of cautious enterprise IT spending, accelerating AI-driven automation, and global macro uncertainty has tightened intake at the major Indian IT services firms (TCS, Infosys, Wipro, HCL Tech, Tech Mahindra) at the same time global captive centres are shedding headcount.

The 4x surge in active candidate flow over a single month is a regime change. Mid-level professionals (5-12 years experience) — the largest single hiring band for Indian IT — form 66% of the active jobseeker pool, suggesting the squeeze is hitting the productivity tier rather than only entry-level or executive ranks.

Advisory Note — How Long Do Indian Sideways Markets Last?

Historical analysis of stagnation phases in NIFTY 50 & Sensex · 12 June 2026
For internal circulation only · Not investment advice

Interactive dashboard: https://guru99-edu.github.io/market-stagnation-dashboard/

1. Why this note

Indian large-cap indices have made no durable new high since 26 September 2024. This note answers two questions from ~29 years of daily data: how long have similar sideways phases lasted historically, and how did they resolve?

2. Where we stand (as of 12 Jun 2026)

NIFTY 50: last close 23,372; all-time closing high 26,329 (2 Jan 2026); below ATH -11.2%.
Sensex:   last close 74,566; all-time closing high 85,836 (26 Sep 2024); below ATH -13.1%.

- In January 2026 the breakout attempt failed: NIFTY closed a marginal +0.4% above its Sep-2024 peak for just two sessions; Sensex stopped 0.09% short of its peak. Both then fell 11-13%.
- Treating that as the failed breakout it was, the market has been range-bound since late June 2024 — roughly 23.5 months (and ~30.5 months by the price-band measure).
- Maximum drawdown inside the phase — -16%: a correction, NOT a bear market.

3. Methodology (in brief)

- Data: Yahoo Finance daily closes — Sensex from Jul 1997 (~29 yrs, 7,130 obs), NIFTY from Sep 2007 (~18.7 yrs, 4,595 obs). Maximum history available; nominal INR, price-only (no dividends).
- Three independent definitions of "sideways", minimum 12 months:
  1. ATH drought — from an all-time closing high until it is reclaimed. Two breakout rules: strict (any new closing high) and confirmed (must close >=5% above the old peak before relapsing — filters out false breakouts like Nov 2010 and Jan 2026). Two depth buckets: drawdown <=20% ("true sideways") and no limit (includes crash-driven stagnations).
  2. ±15% price band — longest windows where every close fits inside a 30%-wide range.
  3. Flat momentum — stretches where the rolling 1-year return stays within ±15%.
- Resolution: forward returns measured 6 and 12 months after each phase ended.
- Limitations: small samples (2-6 episodes per definition); the 1992-99 stagnation (~6.5 yrs) predates the data; nominal terms understate real stagnation; history is no guarantee.

4. Findings — duration of completed sideways phases (months)

Sideways <=20% DD (confirmed):
  NIFTY:  2 episodes, min 21.4, max 28.4, avg 24.9, median 24.9. CURRENT: 23.5, ongoing.
  Sensex: 2 episodes, min 21.4, max 30.3, avg 25.9, median 25.9. CURRENT: 23.5, ongoing.

All stagnations (confirmed):
  NIFTY:  4 episodes, min 21.4, max 76.8, avg 38.5, median 27.9. CURRENT: 23.5, ongoing.
  Sensex: 6 episodes, min 21.4, max 76.9, avg 40.6, median 30.2. CURRENT: 23.5, ongoing.

±15% price band:
  NIFTY:  5 episodes, min 14.8, max 33.9, avg 25.7, median 25.9. CURRENT: 30.4, ongoing.
  Sensex: 6 episodes, min 13.8, max 34.7, avg 23.9, median 24.8. CURRENT: 30.5, ongoing.

Flat 1-yr rolling return:
  NIFTY:  1 episode, 12.5. CURRENT: 17.7 — longest ever.
  Sensex: 1 episode, 12.4. CURRENT: 17.7 — longest ever.

The long no-limit episodes were crash-driven: Sensex 2000-04 (57.7 mo, -56%), both indices 2007-14 (~77 mo, -55 to -60%), Sensex 2010-13 (35.7 mo, -27%), 2015-17 (~24-30 mo, -16 to -23%), 2021-23 (~21 mo, -13%).

5. Key takeaways for traders

1. The typical Indian sideways phase lasts ~2 to 2.5 years (median 24-30 months). The current phase, at ~23.5 months, is at the historical median — mature, but not yet extreme.
2. Distinguish mild from crash-driven phases. Today's phase (max -16%) is structurally a mild one; those have historically resolved within 21-30 months. The 4.8-6.4-year stagnations all contained 50-60% bear markets first — not the current setup.
3. By two measures the current phase is already near records: the longest flat-momentum regime in recorded history (17.7 months vs the prior record of ~12.5), and top-quartile on the price-band measure (~30.5 months vs the 34.7-month record). Band-bound churn historically did not persist much past ~35 months.
4. Resolution has overwhelmingly been upward. After a confirmed breakout, 12-month forward returns ranged +11% to +44%, positive in 9 of 10 episodes across both indices (the lone exception: the January-2000 dot-com top).
5. Do not trust marginal new highs. Both major false breakouts (Nov 2010, Jan 2026) came ~2 years into a stagnation; buying the strict Nov-2010 breakout lost 19-24% over the following 12 months. CONFIRMATION LEVELS: NIFTY > 27,645 / Sensex > 90,128 (5% above the standing ceiling of 26,329 / 85,836).
6. Tail risk remains. Without a confirmed breakout, history allows mild phases to stretch to ~35 months and band phases to ~47 months of total no-new-high time — sideways persisting well into 2027 would not be unprecedented, and a deep external shock could reset the clock entirely.

6. Disclaimer

Prepared from publicly available Yahoo Finance data for internal discussion. Sample sizes are small and definitions are parameter-sensitive (full parameters shown in the dashboard). Past market behaviour does not predict future results. This note is not investment advice and no trading decision should rest on it alone.

The 47.9% Supply-in-Profit Signal

Quant trader KillerXBT pointed out that only 47.91% of Bitcoin's circulating supply is currently in profit. Historically, this metric bottoms out between 40-50% at cycle lows. In other words, when nearly half of all Bitcoin holders are underwater, it usually marks a local or macro bottom — not a top.

Analyst TFTC added another layer: "Every Bitcoin bear market bottom is higher than the previous cycle's top" and noted the Checkonchain power law model puts Bitcoin in the bottom 4% of its historical price level. So statistically, you're buying at a percentile that has rarely been this cheap.

The Median Returns Data

Research firm Brownstone crunched the numbers on buying Bitcoin at a 50% discount to the all-time high (which was ~$126K in 2025, so ~$63K area). The median forward returns:
• 1 year: +124%
• 2 years: +414%
• 3 years: +826%

This isn't cherry-picked — it's the median, meaning half the instances performed even better. The key caveat is that you'd need to stomach the drawdown, because BTC has never bottomed without falling below its realized price (currently ~$53.6K). So if history rhymes, there's still room for another ~$10K drop before a true macro bottom.

Why It's Not a Guarantee

Cycle theory proponents argue Bitcoin is behaving exactly as it always does — but there's a new variable this time: the $4T AI IPO pipeline (SpaceX, Anthropic, OpenAI) is draining liquidity away from crypto in ways that didn't exist in prior cycles. Plus, Harvard's endowment cut BTC by 43% and fully exited ETH, signaling that even smart money is reallocating.

So the historical data is compelling, but the setup is messier than prior bottoms. The consensus from the emails: DCA if you're long-term, don't try to nail the exact bottom, and be prepared for volatility through the June 17 FOMC meeting.

Avendus

- S&P 500 down -1.65%, wiping out $1.14 trillion.
- Nasdaq down -2.60%, wiping out $1.11 trillion.
- Gold down -3.38%, wiping out $1 trillion.
- Silver down -6.9%, wiping out $280 billion.
- Bitcoin down -6.31%, wiping out $80 billion.

In total $2.5 TRILLION wiped out in a single session. These were not isolated moves. Everything started breaking at the same time.

It started with the jobs report this morning.

The US economy added 172,000 jobs in May. Wall Street expected 88,000. That is almost double.

On any normal day, strong jobs is good news. But inflation is already at 3.8% and oil is sitting at $90. A labor market this strong tells the Fed it cannot cut interest rates and may actually need to raise them.

*The probability of a rate hike this year went from 40% to 57% in a single day.* That spooked every investor holding tech and growth stocks because higher rates mean those stocks are worth less today.

Then the AI trade started cracking.

Yesterday Broadcom reported record earnings: revenue up 48%, AI chip sales up 143% and the stock still crashed 12.6%. The reason was simple.

*Broadcom did not raise its AI revenue targets for the year. Investors had expected it to.* That single miss made people ask a question they had been avoiding for months: are we paying too much for AI stocks?

That question got louder today when a research firm called SemiAnalysis revealed that Nvidia's next-generation AI chips will need significantly less memory than everyone assumed, roughly half of what the market was pricing in.

Memory chips are what companies like SK Hynix and Samsung make. SK Hynix fell nearly 10% today. Samsung fell over 6%.

South Korea's entire stock market crashed 5.5% in a single session. Japan's semiconductor stocks did the same.

And then *Anthropic added fuel to the fire by publishing a report warning that AI is getting close to the point where it can improve itself without human help and calling for a global pause in AI development*.

Coming on the same day as the memory demand news and Broadcom's miss, it fed a single growing fear across the market: what if the AI boom is moving faster than the business models can keep up with?

Underneath all of this, there is a *liquidity problem* nobody is talking about.

SpaceX goes public next week at a $1.75 trillion valuation. Anthropic just filed to go public. OpenAI is next.

These three companies together are worth $4 to $5 trillion. Fund managers need cash to buy into these listings.

But *cash levels are already at their lowest since early 2024. The only way to raise cash is to sell what they already own*. That selling is happening right now.

The *new Fed Chair Kevin Warsh will also hold his very first policy meeting in 11 days*. He was appointed by Trump with the expectation of cutting rates.

He is now walking into a situation where inflation is high, oil is high, and the job market is running hot. Investors do not know what he will do.

When nobody knows what the most powerful central banker in the world will decide in less than two weeks, the safest move is to reduce risk today.

_Everything that could go wrong, went wrong at the same time. A hot jobs report, a collapsing ceasefire, a crack in the AI trade, a trillion dollar liquidity drain, and a Fed meeting with no clear outcome._