The institutional reading order, in one frame:
1. Revenue: volume or price
2. Margin trend (QoQ and YoY)
3. Operating profit vs reported profit
4. Effective tax rate
5. PAT vs operating cash flow
6. Working capital (receivables, inventory)
7. Debt and interest cost
8. Concall and guidance
9. Result vs expectations
Headline number last, never first.
RBI’s share of G-Secs rose to 17.6% of outstanding government bonds (vs 14.5% in Dec 2024). This is the highest RBI ownership since 2013.
Reason: RBI aggressively bought bonds via OMO (Open Market Operations) and secondary market purchases.
Objective: Inject liquidity into the banking system.
RBI has engineered a “managed trinity” by using capital controls, FX reserves, OMOs, CRR, VRR, swap windows, and moral suasion.
“Trilemma Triangle” ... During stress, RBI priorities become:
Priority 1 → Currency stability. Because INR disorder harms everything.
Priority 2 → Inflation control. Especially food/fuel.
Priority 3 → Growth support. Growth sometimes sacrificed temporarily.
That means in crises RBI often sacrifices monetary independence first.
RBI among top 4 emerging-market central banks in trilemma management.
Compared with:
Turkey → weak
Argentina → weak
Brazil → cyclical
India → relatively strong
RBI’s success lies in understanding one truth:
You don’t need to win all 3 corners. You need to prevent failure at any corner.
A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY.
Here's a full recap:
1. A major end-of-Q2 rebalancing wave could hit global markets, with JPMorgan estimating institutional investors may sell up to $165B of equities and rotate the same amount into bonds by quarter-end — the largest rebalance in at least four years. The biggest expected sellers include Japan’s GPIF at roughly $60B, Norway’s Norges Bank at around $40B, U.S. defined benefit pensions at about $55B, and the Swiss National Bank at up to $25B. Balanced mutual funds may partially offset the pressure with an estimated $15B of equity buying, but overall, quarter-end flows could create significant selling pressure across global stocks.
2. SpaceX $SPCX reportedly signed a major compute deal with open-source AI startup Reflection AI, giving it access to Nvidia $NVDA GB300 chips at Colossus 2, per CNBC. Reflection is expected to pay SpaceX about $150M per month starting July 1, 2026, which could total roughly $6.3B if the agreement runs through 2029. The deal adds Reflection to SpaceX’s growing AI compute customer list, alongside Anthropic, Google, and Cursor.
3. Retail investors have poured roughly $150B into the largest equity ETFs over the past month, marking the second-biggest inflow in history. The move shows just how aggressive retail demand for equities has become, even as markets continue to digest major macro and positioning risks.
4. Palantir $PLTR has secured a foundational role in the U.S. Army’s NGC2 data layer. The Army established the NGC2 common data layer baseline, a major step in modernizing command-and-control systems. Palantir Foundry will serve as the cloud data layer, while Anduril Lattice will serve as the tactical data layer, giving the Army a scalable foundation for AI-enabled tools, interoperability, and faster battlefield decision-making.
5. The top 10 most active options today by contracts traded were $TSLA with 3.3M contracts, $NVDA with 2.9M contracts, $SPCX with 1.2M contracts, $AMZN with 1.1M contracts, $AAPL with 990K contracts, $GOOGL with 970K contracts, $MSFT with 917K contracts, $NFLX with 717K contracts, $INTC with 621K contracts, and $PLTR with 587K contracts. Tesla led options activity with more than 3.3M contracts traded, followed by Nvidia at 2.9M, while SpaceX and Amazon both saw volume above 1M contracts.
6. BofA now expects the Fed to hike rates three times this year, reversing its prior view of no changes. The firm sees 25 bps hikes in September, October, and December, taking the Fed funds range to 4.25%–4.5% by year-end. BofA now expects the first Fed rate cuts to come in 2028.
7. Qualcomm $QCOM is reportedly in advanced talks to acquire AI chip startup Modular in a deal that could value the company around $4B, per Bloomberg. No final agreement has been reached, but an announcement could come in the next few weeks. Modular last raised $250M at a $1.6B valuation in September 2025, meaning the reported deal would mark a major step-up in value.
8. Trump signed two quantum-focused executive orders aimed at accelerating U.S. leadership in the space. One order pushes for a U.S. quantum computer $INFQ $QBTS $IBM $RGTI $IONQ $QNT capable of major scientific calculations, along with quantum sensors and networks, within five years. The other directs federal agencies to transition to post-quantum cryptography by 2031, strengthening cybersecurity against future quantum threats.
9. Google $GOOGL is investing about $75M in A24 as part of a multi-year AI research partnership between Google DeepMind and the film studio. The deal marks Google’s first equity stake in a studio, with A24 and DeepMind working on AI tools for film production and distribution. The agreement does not give Google access to A24’s film and TV library, while A24 Labs is already developing an AI-generated storyboard tool.
10. Micron $MU signed a strategic agreement with Anthropic covering AI memory and storage architecture, multi-year supply, Claude enterprise adoption, and an investment in Anthropic’s Series H round. Micron will provide data center memory and storage products, including HBM, DRAM, and SSDs, while the two companies work together to optimize Anthropic’s AI infrastructure for performance, energy efficiency, and token economics.
11. Nvidia $NVDA launched Halos for Robotics, a full-stack safety system for robotics and physical AI. Agility will be the first to integrate parts of Halos into the safety architecture for Digit, its humanoid robot used in logistics, manufacturing, and warehouses. The system combines Nvidia IGX Thor, Holoscan Sensor Bridge, Halos OS, external-camera safety monitoring, and an ANAB-accredited AI Systems Inspection Lab, with 40+ companies participating in the lab program.
12. Chevron $CVX signed a 20-year power deal with Microsoft $MSFT to supply natural gas-fired electricity for a proposed West Texas data center. The project, called Kilby, is expected to deliver first power by 2028 and eventually ramp to 2.67 GW. Chevron will use Permian Basin gas to power GE Vernova turbines, with the project designed to generate its own electricity instead of drawing from the grid. Chevron is developing Kilby with Engine No. 1 and expects to make a final investment decision later this year.
WALL STREET IS THE GREATEST SHOW ON EARTH.
$NVDA CEO Jensen Huang said: “The next frontier of AI is physical AI. Every industrial company is becoming a robotics company
First wave of AI → AI understood language, text, images, code
Second wave (current) → AI acts as a digital co-worker (copilots, agents, workflow automation)
Third wave (“Physical AI”) → AI can perceive, reason, and act in the physical world through robots, autonomous machines, industrial systems.
Unlike chatbots, physical AI may solve three hard problems simultaneously:
1. Perception : Understand the environment through sensors
2. Reasoning : Interpret context and decide
3. Action : Move safely in real world
Enterprise Factors may change forever
Historically enterprises scaled through:
Capital + Labor + Software
Future enterprise scales through:
Capital + Human Intelligence + Machine Intelligence + Robotic Labor
Traditional economics: Output= f(Capital,Labor)
Ai era economics: Output=f(Capital,Human Intelligence,Machine Intelligence)
The future is not AI replacing all humans. It is Human + AI collaboration
AI-Native Enterprise Stack:
Layer 1 — Human Intelligence
Layer 2 — AI Agents
Layer 3 — Physical AI (Robots execute)
Layer 4 — Autonomous Infrastructure (Factories self-optimize)
Future winners may not be companies with most workers.
They may be firms with best intelligence density
The World may move from:
Labor scarcity economy
to
Intelligence abundance economy
That is a major civilizational shift
Cultural Resistance:
This may be the biggest bottleneck. Employees may fear:
job loss
redundancy
loss of authority
surveillance
Middle management is especially vulnerable. Why?
AI compresses managerial layers.
Enterprise challenge:
Balancing: Productivity Gains & Job Redundancy
The biggest obstacle is not AI capability. It is organizational adaptability.
Leopold Aschenbrenner also owns 6% stake in $NBIS.
The chart is setting up for an explosion towards $400+ by end of 2026 then $700 by 2028.
$NBIS has secured multiple multi-billion dollar agreements as it rapidly expands its purpose-built AI infrastructure.
Its top three most significant partnerships and contracts include:
$META: A landmark 5-year agreement worth up to $27 billion. Nebius will provide Meta with $12 billion in dedicated capacity using Nvidia's next-generation Vera Rubin platform, with Meta committing to purchase additional compute capacity up to $15 billion over the contract period.
$NVDA : A massive strategic partnership anchored by a $2 billion investment from Nvidia in Nebius. The deal focuses on deploying multiple generations of Nvidia hardware (including the Rubin platform) to build over 5 gigawatts of capacity by 2030, along with deep co-development of AI factory software.
$MSFT: A lucrative multi-billion, multi-year capacity agreement to supply dedicated GPU infrastructure. This alliance is powering Microsoft's AI services and helping Nebius expand globally as an AI-native neocloud platform.
$GOOG: They don't have a partnership with but $GOOG and $NBIS are both expanding aggressively in the AI infrastructure space. With Google recently investing heavily in AI cloud capacity alongside partners like Blackstone, there is a clear appetite for scaling third-party infrastructure.Plausibility: Nebius operates as an open-source, full-stack alternative in the cloud and AI-native space. Because both Google and Nebius target AI developers, startups, and enterprises with computing capacity and model-tuning tools, a partnership such as Google Cloud utilizing Nebius’ specialized GPU clusters for overflow or specialized inference tasks is highly logical and plausible.
El Niño weakens average rainfall, but more dangerous today is rainfall dispersion:
Long dry spells
Short extreme cloudbursts
Regional asymmetry (flood in one region, drought in another)
That hurts agriculture more than a simple rainfall deficit.
IMD data as of June 17, 2026:
1. All-India seasonal rainfall: 🔻 -38% below Long Period Average (LPA)
2. Weekly cumulative deficit (ending June 17): 🔻 -48% below LPA
3. IMD forecast 92% of LPA for the full season — classified as "below normal"
4. This is El Niño year — first below-normal IMD forecast in 11 years
Historical El Niño Years — What Happened to Markets?
1987 — Severe drought , Rainfall ~19% below normal , Agriculture severely impacted, Food inflation surged, GDP slowed sharply
Equity market data is sparse, but real economy damage was severe.
2002 — Major drought Rainfall deficit: ~19% Impact:
Kharif output down, Agricultural GDP contracted, CPI food inflation rose
Nifty reaction:
Markets initially sold off on monsoon fears.
2009 — El Niño year
Rainfall deficit ~22%, Yet market did not collapse.
Why?
Because:
Post-GFC liquidity, Fiscal stimulus, Strong urban recovery
Lesson:
Macro liquidity can overpower weather shocks.
2015 — Strong El Niño
Weak monsoon. But earnings damage limited.
Why?
India improved buffers:
irrigation
MSP
food stocks
DBT subsidies
2023 — El Niño scare, but limited market damage
Market feared: inflation spike, RBI hawkishness, rural demand slowdown
What happened?
Damage was uneven—not systemic
Major lesson:
Modern India is less monsoon-sensitive than headline narratives suggest.
Agriculture is only ~14% of GDP now.
Market Sector Map — Winners vs Losers
Losers:
FMCG (rural-heavy) ... Risk: volume slowdown + input inflation
Two-wheelers ... High rural sensitivity
Tractors ... Most monsoon-sensitive auto subsegment.
Rural lenders / MFIs ... Rising collection stress.
Fertilisers ... Volume depends on sowing intensity.
Winners:
Irrigation / Water infra
Agrochem (export-heavy)
Power equipment / Cooling ... Heatwave → power demand spike
Why 2026 May Not Become 2002
Buffer 1 — Irrigation expansion ... Rain-fed agriculture is smaller now.
Buffer 2 — Reservoir storage ... You cited 166 reservoirs at 41%.
Buffer 3 — Grain stocks ... India's Rice and wheat stocks are elevated.
The Real Risk for Markets in 2026 .... El Niño + Oil shock + Rupee weakness
Hope we avoid this deadly trinity
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Gold is money. Therefore, gold should be valued against the amount of money in the global reserve-currency system
Gold is not merely a commodity. It is the only monetary asset without counterparty risk. Therefore, its "fair value" should be measured relative to the size of the global dollar system.
Gold currently backs only about 18.6% of the Fed balance sheet, versus:
73% historical average during strong gold periods
107%-194% during major monetary resets
Gold remains materially undervalued versus historical monetary regimes.
Gold did not become cheap because gold lost value. The dollar system became too large relative to gold. The monetary system grew much faster than the gold stock.
From a macro-investor perspective, the infographic is essentially saying:
Gold is not expensive at $3,400/oz. The global dollar system is still far larger than the amount of gold backing it.
If the world continues moving toward:
Central-bank reserve diversification
De-dollarization at the margin
Persistent US fiscal deficits
Rising sovereign debt
then this framework suggests gold's long-term equilibrium price could be 2–4x higher than current levels over the next decade, even without a currency crisis.
At $4,300/oz, gold appears to have moved from: "Extremely undervalued" → "Moderately undervalued"
gold's upside is no longer primarily an inflation story—it is increasingly a balance-sheet and sovereign-debt story. If the world continues to question the long-term sustainability of fiat debt expansion, gold can continue appreciating even if inflation remains relatively contained.
📊 23 stocks with market caps between ₹1,000 Cr and ₹10,000 Cr passed my latest quality + value screen.
These businesses are growing at a healthy pace, generating strong returns on capital, and still look reasonably priced across more than a couple crucial valuation metrics.
Picture a 25-year-old SME in Mysuru. Market cap under ₹1,500 Cr.
Boring? Hold on.
Their boards sit inside AESA radars, missile launcher control units, UAV payloads, and EW systems.
Half their revenue is exports — Europe more than the US.
Last June, they cleared NADCAP - the global aerospace gatekeeper fewer than 5 Indian electronics players hold.
Days later, Madhusudan Kela led a ₹150 Cr preferential issue at ₹1,100/share to fund the next leg.
Disclosure: For educational purposes only
Story below 🧵👇 (1/12)
Shell CEO Wael Sawan has recently warned that:
The oil market is facing a large supply deficit.
Over 10% of global crude production has been disrupted by Iran conflict.
Global inventories are being drawn down rapidly.
It could take "close to a year, if not longer" for the market to return to equilibrium
market currently faces a 1.2 billion barrel deficit, describing inventory drawdowns as "borrowing from the future."
The oil market and bond market are increasingly pricing the supply shock, while the equity market is still pricing a normalization scenario.
How different markets are perceiving the supply shock?
The oil market sees a supply shock.
The bond market sees inflation.
The equity market still sees a resolution.
“Wealth is rarely created in comfort. It is usually created during uncertainty.”
P2P (Panic to Profit)
Which crash created the biggest wealth-building opportunity?
🔘 2008 – Deep valuation reset
🔘 2020 – Fastest recovery cycle
🔘 2026 – Opportunity still unfolding
2008 created the biggest long-term wealth transfer globally because valuations became extraordinarily cheap.
2020 created the fastest gains due to unprecedented liquidity + digital acceleration.
2026 may become a selective opportunity rather than a broad-market bargain if earnings remain resilient while geopolitics drives sentiment volatility.
Successful investors behave differently.
✅ They accumulate quality businesses
✅ They stay patient during volatility
✅ They plant seeds when others panic
The crowd sees destruction. The investor sees the beginning of the next compounding cycle.
FINAL LIST OF 73 SMALL CAP MAINBOARD STOCKS THAT HAVE POSTED GOOD TO EXCELLENT Q4FY26 RESULTS 🔥🔥🔥
(SME Final List Already Discussed & Quote Below)
KSH International
Quality Power
Websol Energy
Krishna Defence
Viviana Power
Waaree Renewable
P N Gadgil Jewellers
Apollo Micro Systems
Sky Gold
Pondy Oxides & Chemicals
Sigma Advanced Systems
Indiabulls Enterprises
Ashapura Minechem
Solex Energy
Gujarat Kidney
Kernex Microsystems
Ajmera Realty
RateGain Travel
Fineotex Chemical
PNGS Reva Diamond
NIBE
Modison
Cupid
Lloyds Engineering Works
Shringar House of Mangalsutra
Thangamayil Jewellery
SRM Contractors
SG Finserve
Fujiyama Power
D.P. Abhushan
Divgi TorqTransfer Systems
Vikran Engineering
ideaForge Technology
Atlanta Electricals
NACL Industries
JNK India
Jain Resource Recycling
Precision Wires India
Hubtown
Genus Power
Rossell Techsys
Pace Digitek
V2 Retail
Sobha
SKM Egg Products Export
Paras Defence
Vidya Wires
Vintage Coffee
Refex Industries
Jeena Sikho Lifecare
Senores Pharmaceuticals
Rashtriya Chemicals & Fertilizers
Yatharth Hospital
Lloyds Enterprises
Olectra Greentech
GNG Electronics
Pricol
Knowledge Marine
EPACK Prefab
KPI Green Energy
Raymond Realty
Aeroflex Industries
Ceigall India
KRN Heat Exchanger
Kwality Pharmaceuticals
M B Agro Industries
Park Medi World
SJS Enterprises
Skipper
Aye Finance
Amagi Media Labs
Anand Rathi Wealth
Modern Insulators
WHY IS IT IMPORTANT TO TRACK QUARTERLY RESULTS?
▪ Quarterly results provide the clearest picture of a company's business performance and growth trajectory.
▪ Strong revenue growth, profit growth, margin expansion, and order book improvements often indicate improving business fundamentals.
▪ Consistent quarterly execution helps investors identify potential long-term wealth creators before they become widely recognized.
▪ Management commentary, future guidance, capex plans, and industry outlook shared during results season provide valuable insights into future growth prospects.
▪ Tracking results regularly helps investors separate fundamentally strong businesses from momentum-driven stories.
▪ Over the long term, stock prices tend to follow earnings growth and business performance.
DISCLAIMER
The above list has been prepared for educational and tracking purposes only. Inclusion of a company in this list does not constitute a buy, sell, or hold recommendation. Investors should conduct their own due diligence, assess risk factors, and consult a qualified financial advisor before making any investment decisions. Past performance does not guarantee future returns.
FCNR has historically worked as a confidence bridge and liquidity shock absorber — not as a permanent macro solution.
THE 2013 FCNR(B) PLAYBOOK — INDIA’S DIASPORA STABILIZATION MOMENT In 2013, when the US Fed signaled QE tapering, global capital fled emerging markets and India became part of the “Fragile Five.”
The result:
• INR crashed from ~₹54 to ~₹69/USD
• FPI outflows surged
• CAD widened sharply
• Confidence collapsed
What RBI did:
• Encouraged banks to raise dollar deposits from NRIs
• Offered concessional RBI swap support
• RBI absorbed much of the hedge cost
Result:
• Over $34 billion mobilized
• Rupee stabilized
• Forex reserves improved
• Bond yields cooled
• Liquidity stress eased
• Market confidence returned
Why it worked?
FCNR(B) simultaneously:
• brought fresh dollar inflows
• strengthened reserves
• injected rupee liquidity
• reduced external vulnerability fears
The key realization: When global capital exited, India successfully mobilized diaspora capital as a stability bridge.
Now the question returns in 2026:
Will NRIs once again become India’s external stability shield?