Building Capital 📈📊📉

🧭 Elite Pattern Recognition... Wall Street intellect meets inner city instincts. Business, Stocks, BTC👨🏽‍💻🇺🇸

[Building Capital 📈📊📉 @CTBBTC936]

Listen to markets that finance the economy before listening to statistics that describe the economy.

[Building Capital 📈📊📉 @CTBBTC936]

@saylor

[Building Capital 📈📊📉 @CTBBTC936]

@dampedspring Treasury is buying back debt at a substantial discount to its original face value. They are expanding its role as a recurring buyer of less liquid government securities.

[Building Capital 📈📊📉 @CTBBTC936]

@Hedgeye The U.S. $ might be the most important global transmission mechanism. But the direction of the $ alone is not enough. The source of the $ movement determines if cross-asset correlations help you or hurt you. The distinction between $ strength and $ funding stress is essential.

[Building Capital 📈📊📉 @CTBBTC936]

@LukeGromen If rates go toward 8%+ & labor weakens & listings increase, the probability of a nominal correction rises. If rates are high because nominal GDP, wages, rents, & inflation all rise, national nominal home prices may remain resilient, while housing produces poor or neg real returns

[Building Capital 📈📊📉 @CTBBTC936]

@LukeGromen This is a plausible bullish setup for GDX & selected producers. The next question is whether crude & mine-level operating costs actually decline? The World Gold Council reports that average gold miner all-in sustaining costs at $1,785 per oz in Q1 2026, up 16% year over year.

[China Banking News @CBankingEditor]

Link to all the PDFs: https://t.co/FKYct9qUGz

[Building Capital 📈📊📉 @CTBBTC936]

The U.S. equity market has become so large that its own behavior increasingly influences the macro regime it is supposedly discounting.

[Building Capital 📈📊📉 @CTBBTC936]

@LukeGromen @dotkrueger 1M BTC in 15 years is plausible if adoption, institutional reserves, and BTC-backed credit keep growing while supply stays fixed. The bigger risk is synthetic claims absorbing demand without forcing spot BTC purchases.

[Building Capital 📈📊📉 @CTBBTC936]

@LukeGromen @dotkrueger Strategy style digital credit buys real BTC and reduces float. “Credit gold” created paper claims without equivalent physical buying. The real BTC risk is unbacked synthetic claims that satisfy demand without spot purchases.

[Building Capital 📈📊📉 @CTBBTC936]

USA’s answer to debt is not austerity, default or printing money. It is to redesign the financial system so that an ever larger domestic & global monetary network is structurally required to hold dollar liabilities while productivity, inflation and nominal GDP slowly depreciate.

[Building Capital 📈📊📉 @CTBBTC936]

@LukeGromen

[ETF Tracker @TheETFTracker]

Here are 27 tech ETFs grouped by investing goal:

Semiconductors:
$SMH VanEck Semiconductor ETF
$DRAM Roundhill Memory ETF
$LAZR Tema Photonics & Optical ETF

AI:
$AIQ Global X Artificial Intelligence & Technology ETF
$CHAT Roundhill Generative AI & Technology ETF
$AIS VistaShares Artificial Intelligence Supercycle ETF

AI Infrastructure:
$AIPO Defiance AI & Power Infrastructure ETF
$GRID First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index Fund
$SRVR Pacer Data & Infrastructure Real Estate ETF

Cloud & Software:
$IGV iShares Expanded Tech-Software Sector ETF
$WCLD WisdomTree Cloud Computing Fund
$SKYY First Trust Cloud Computing ETF

Cybersecurity:
$CIBR First Trust Nasdaq Cybersecurity ETF
$HACK Amplify Cybersecurity ETF
$BUG Global X Cybersecurity ETF

Robotics:
$BOTZ Global X Robotics & Artificial Intelligence ETF
$ROBO ROBO Global Robotics and Automation Index ETF
$ARKQ ARK Autonomous Technology & Robotics ETF

Innovation:
$ARKK ARK Innovation ETF
$AOTG AOT Growth and Innovation ETF
$XT iShares Exponential Technologies ETF

Quantum:
$QTUM Defiance Quantum ETF
$WQTM WisdomTree Quantum Computing Fund
$CQTM Corgi Quantum Computing ETF

Big Name:
$IVES Dan Ives Wedbush AI Revolution ETF
$RONB Baron First Principles ETF
$GRNY Fundstrat Granny Shots US Large Cap ETF

Source @ETFInvestmentsX

[TreasuryBonds.com @TreasuryBonds1]

“It’s said by politicians and pundits that prediction markets are gambling markets, that gamblers insufficiently sated by sports gambling are moving into the seemingly quotidian. This is a mistaken view. Juliano instructs on the matter.”

New Jersey trucker Nick Juliano is using Kalshi to insure his small business against rising gas prices.

Small businesses make decisions about inventory, staffing, and costs with far less information than large companies.

Prediction markets give them another signal about what may happen next, and it's why Juliano is using them to offset fueling costs.

https://t.co/wsHkWxsHtf

[Building Capital 📈📊📉 @CTBBTC936]

@DariusDale42 From the inner city, where survival was the first education and Wall Street felt light years away. Some of us, walked in the unknown, learned the game, mastered the environment, and turned a narrow opening into a life built on vision, nerve, timing, and relentless ascent. 🫡

[Building Capital 📈📊📉 @CTBBTC936]

@biancoresearch The system becomes dangerous when the rate of deterioration in debt-service dynamics outruns the economy’s shock absorbers. AI can be fiscally and inflationarily destabilizing during the bridge period even if it is enormously productivity-enhancing in the long run.

[Building Capital 📈📊📉 @CTBBTC936]

The Fed has two markets to satisfy simultaneously…

The economy, where rate-sensitive areas such as housing are already restrictive.

And… the bond market, which is demanding compensation for inflation, supply and fiscal duration.

[Quiver Quantitative @QuiverQuant]

JUST IN: ChatGPT can now pull data on stock trades by politicians, hedge funds, and insiders.

You can use it to identify suspicious trades, build your own tools, and more.

Here's how to connect...

[Building Capital 📈📊📉 @CTBBTC936]

@jvisserlabs The bond market is repricing inflation, Fed policy, fiscal supply and the real cost of capital. The credit markets & earnings will tell us which side actually wins.

[Rossst.03 @Rossst_03]

Benoit Mandelbrot, the father of fractals, lecturing at MIT on how markets really move:

"the models Wall Street runs on assume the market is mild. it is wild. a once in a century crash shows up every few years, and the bell curve never sees it coming."

he invented fractals, then turned them on the market and found the truth nobody wanted. price moves are not smooth. they are rough at every scale, and that roughness has fat tails the Gaussian pretends do not exist.

Black-Scholes, value at risk, most of modern risk management, all assume mild randomness. Mandelbrot showed the real thing is wild. a handful of days decide decades of returns, and those days are far more likely than the math admits.

LTCM ran the mild model. it was built by Nobel laureates. the wild day came, the one the bell curve called impossible, and the fund was gone in weeks.

the market is not a coin flip with small wiggles. it is a fractal, and its worst day is always bigger and closer than your model believes.

the risk that ends you is the one your bell curve rounded to zero. Mandelbrot spent his life pointing straight at it.