KNOWLEDGE BASE — F68 CONTEXT

A strong AI model can hold an enormous amount of knowledge.

F68 Analytical Data can give AI a data layer deep enough to read and understand the market.

But data, however complete, does not by itself create an analytical method.

A number does not say by itself how important it is. A signal does not define its own context. Hundreds of variables do not arrange themselves into a well-grounded thesis with conditions for verification.

To analyze in depth, AI needs more than data to read. It needs a method for knowing how to read that data.

That is the role of F68 Context — the methodology layer of F68 Intelligence.

F68 Context is a layer of professional knowledge where F68 systematizes the methods, principles, sequences, standards and analytical logic for each task.

It is not a command like:

“Analyze like an expert.”

It encodes an expert-level analytical workflow:

Where to start. Which variables to prioritize. Which evidence must be verified. Which facts are reinforcing or negating the thesis. And what is important enough to force the conclusion to change.

That is the difference between letting the AI invent its own way of analyzing and putting the AI into an analytical method that has already been programmed.

F68 codifies research methods and analytical workflows typically used within investment funds and global financial institutions into context that AI agents can follow.

The same data. A different method — a different depth of analysis.

Take an RSI of 78 as an example.

A general-purpose AI knows what RSI is.

F68 Analytical Data also tells the AI where that RSI sits within the price trajectory and how it interacts with other states.

But F68 Context requires the analysis to go further than the number.

Is price at the start, middle or end of a wave?

Is the current structure controlled by Supply or Demand?

Does rising volume produce a matching price result?

Is the breakout being accepted — or failing after the break?

At this price, does the potential edge still justify the risk, given the invalidation level and reward-to-risk ratio?

Still an RSI of 78.

One way of reading stops at the indicator's value.

The other places the indicator within the whole structure that gives it meaning.

The number does not change. The way of reading changes — and the conclusion can change completely.

That principle continues in Fundamental Analysis.

Sharply rising profit is only a fact.

The analysis must set it beside growth quality, financial structure, profit drivers, cash flow and valuation.

Does growth come from core operations or one-off factors? Does profit turn into cash flow? How much of the expectations ahead does the current valuation already reflect?

The figures show what a company achieved. The analysis must assess the quality of those results.

With Macro, the reading is different again.

Fed. Interest rates. Exchange rates. Credit. Liquidity. Commodities. Capital flows.

The value does not lie in putting as many variables as possible into a report.

F68’s macro framework first identifies the dominant market driver, then traces the transmission mechanism: what affects what, through which channels, and with what impact on Vietnam’s market.

A headline alone is not a conclusion.

Between the two points there must be a mechanism of influence clear enough to verify — together with a predefined condition under which the thesis is no longer valid.

Each specialty needs its own context.

Technical analysis needs a methodology system to read position, structure, Supply–Demand, momentum, price zones, scenarios and risk.

Fundamental analysis needs a methodology system to assess business quality, growth, financial structure, cash flow, valuation and risk.

Macro analysis needs a methodology system to determine the backdrop, dominant variables, mechanisms of influence, capital flows and scenarios.

You cannot take one generic formula and just rename the report.

Each class of problem needs its own analytical method — and each method is programmed into its own context for the corresponding Agent.

F68 Analytical Data + F68 Context

The two layers solve two different problems but must go together.

F68 Analytical Data turns the market into data AI can read and understand.

F68 Context turns the analytical method into a structure an AI Agent can follow.

One standardizes the market data being analyzed.

The other standardizes the method of analysis.

That is also why the same AI model can produce very different quality of analysis when placed in different systems.

Not only because of how strong the AI is.

But because of what the AI is given to look at — and which method it is programmed with to analyze what it sees.

The model creates the reasoning capability. Data expands what the AI can see. Context shapes how that capability is used.

F68 Analytical Data helps the AI read and understand the market.

F68 Context brings what the AI reads into an analytical method that is structured, verifiable and deep.

Because in professional analysis, knowing more does not necessarily create an edge.

The edge begins when the AI knows what is truly worth noticing, understands why it matters — and recognizes at the right moment when a thesis is no longer worth believing.

Data lets AI see the market. F68 Context determines how deeply it understands it.