Understand the cost of money
See whether policy rates, Treasury yields and lending standards are making new debt more expensive or harder to obtain.
Balance Point is built for people who have real decisions to make while the economy keeps moving. Instead of handing you dozens of disconnected charts, the app organizes growth, labor, inflation, borrowing costs, credit, investment, energy and financial stress into one decision-support system.
The purpose is not to predict the market with certainty. It is to make the economic environment usable: what changed, where pressure is building, how financing is behaving, and what evidence could move the system into a different regime.
See whether policy rates, Treasury yields and lending standards are making new debt more expensive or harder to obtain.
Use labor, retail, production and growth data to judge whether the environment supports adding people or calls for more caution.
Track whether capital spending is still expanding, becoming selective, or beginning to roll over before defaults become obvious.
Distinguish an investment loss that stays contained from one that reaches lenders and starts tightening credit for everyone else.
The flagship AI-infrastructure research asks a different question than “Is AI a bubble?” The more useful question is where losses would land if cash flows fail to justify the capital committed — and whether those losses remain contained or impair the institutions that create credit.
Returns, financing cost, DSCR, equity requirements.
Capex, construction, equipment, capacity.
Defaults, impairments, restructurings, recoveries.
Who actually owns the loss — equity, bonds, private credit, banks?
Origination, standards, spreads, securitization, funding.
Does tighter credit reach borrowers outside the original sector?
“Infrastructure busts should be classified by loss transmission, not simply by the size of the investment loss.”
Balance Point uses this logic to separate a contained capital reset from a broader credit event.
These are the objective series currently connected to the Balance Point application and its pressure/bubble engines. Each card explains what the data measures, why it matters, and where it comes from. The public methodology describes the inputs; exact proprietary weights and phase thresholds are not published here.
Not everything important arrives through a clean government API. Jalin's research explicitly treats contract quality, financing structure, project cancellations and loss ownership as evidence that may require document-level review. Software can collect and summarize it, but major thesis changes remain governed rather than automatic.
The framework can improve or deteriorate. A thesis is not forced into a one-way crash narrative; the point is to classify the evidence as conditions evolve.
Capital flowing, investment rising, financing available.
Financing reprices and weaker projects face more scrutiny.
Projects slow, cancel or reset economics materially.
Losses reach lenders and begin changing credit creation.
Losses recognized, structures reset, useful assets remain.
The thesis can move toward healthier conditions as data improves.
Original publishers are preferred for authority. FRED standardizes and preserves history. Company and credit documents add the contract-level information needed for Jalin's transmission research. Media may provide context, but it does not replace the underlying release or filing.
Balance Point should do the economic interpretation so the business owner does not have to.
Objective data updates automatically where the source allows it. Judgment-heavy evidence is reviewed, sourced and preserved so the record can be audited later.