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Summarising is the honest use of a language model here

Turning many readings into a few sentences is a real capability. It is only trustworthy when every figure traces to a named source.

Good summary Names what is unusual, with window and source
Honest default "Nothing unusual" — the most common true answer
Central risk Fabricated figures that look identical to real ones

FBT Swap

What you should know

A market view may contain dozens of numbers across price, volume, depth, indicators and on-chain measurements. Reading all of them every time is impractical, and most of them are unremarkable most of the time.

Compressing that into a few sentences that name what is unusual is a task models do well — provided every number is real.

What a good summary does

States what is unusual relative to the asset's own recent history, names the window, and attributes each figure to its source. "Volume is three times its thirty-day median" is checkable; "volume is surging" is not.

It also says when nothing is unusual, which is the most common honest answer and the one marketing-driven summaries never give.

The fabrication risk

A model generating text about markets will produce plausible numbers whether or not it has them. This is the central failure mode and it is invisible at a glance, because fabricated figures look exactly like real ones.

The only defence is architectural: the model summarises data passed to it and is not permitted to supply figures of its own.

Why sources and windows matter

A figure without a window is not a measurement. "Up fifteen percent" over an hour, a day and a month are three different statements, and the one chosen is usually the most dramatic.

Naming the source lets you check it, and it reveals when two sources disagree — which happens often and is itself informative.

What a summary cannot become

A recommendation. Describing conditions and advising action are different acts, and sliding from one to the other is what turns a useful tool into a liability for the person reading it.

FBT Swap generates market summaries from data with the source and window named, states when nothing unusual is present, shows an unavailable state rather than inventing a number, and never converts a summary into a buy or sell instruction.

At a glance

At a glance

Good summary

Names what is unusual, with window and source

Honest default

"Nothing unusual" — the most common true answer

Central risk

Fabricated figures that look identical to real ones

Hard line

Describing conditions is not recommending action

FAQ

Frequently asked questions

Clear answers before you decide.

Can I trust numbers in an AI summary?

Only if they are attributed to a named source you can check. A model asked about markets will generate plausible figures regardless of whether it has data, and they are indistinguishable by appearance.

Why does a summary sometimes say nothing is happening?

Because that is usually true. A summary that always finds something significant is manufacturing significance, which makes it useless when something real occurs.

Should a summary tell me what to do?

No. Describing conditions and recommending action are different things. Nothing in a market summary constitutes financial advice.

Risk notice

Crypto assets are volatile and on-chain transactions cannot be reversed. You can lose money, including all of it. Nothing here is financial advice.