Natural Language vs Structured Input

Two ways to express a trading idea
Natural language input
When to use natural language
Structured input
When to use structured input
How ATI bridges the gap
Common misunderstandings
A practical recommendation
Examples side by side
What to read next

Two ways to express a trading idea

Trinigence is designed to understand how traders actually think, not how computers expect instructions. That’s why there are two valid ways to express an idea:

Natural language (how you’d explain it to another trader)
Structured input (explicit, precise definitions)

Both lead to the same outcome: a fully defined strategy - but they serve different purposes.

Natural language input

Natural language is the fastest and most intuitive way to start. Example:

Trade ETH on the 1h timeframe.
Go long when momentum shifts bullish.
Exit with a fixed take profit and stop loss.

ATI interprets:

what market you mean
what “momentum” likely refers to
how to turn “bullish shift” into a deterministic condition
what exits are required to make the strategy valid

Natural language is ideal for exploration, ideation, and first drafts.

When to use natural language

brainstorming strategy ideas
testing rough concepts
translating intuition into logic
moving quickly from idea to backtest

Structured input

Structured input makes every assumption explicit. Example:

Create an ETH/USDT strategy on the 1h timeframe.
Go long when RSI(14) crosses above 50.
Exit with a take profit of 6% and a stop loss of 1%.

Here:

indicators are named explicitly
parameters are defined
conditions are unambiguous
exits are deterministic

Structured input is ideal for precision, validation, and iteration.

When to use structured input

refining a promising strategy
comparing parameter changes
debugging unexpected results
preparing logic for execution

How ATI bridges the gap

ATI’s main job is to translate natural language into structured logic.

Interpret

ATI identifies markets, indicators, directions, and intent.

Normalize

Ambiguous phrases are converted into explicit conditions.

Validate

ATI ensures entries, exits, and risk rules are complete.

Clarify

If intent is unclear, ATI asks targeted follow-up questions.

How ATI understands your input

Dive deeper into AI translation and validation.

Common misunderstandings

Is natural language less accurate?

No. It’s simply less explicit. Accuracy depends on clarity, not format.

Do I have to switch to structured input later?

Not necessarily. Many users stay in natural language and refine through iteration.

Can I mix both styles?

Yes. Most advanced users naturally blend natural phrasing with explicit parameters.

A practical recommendation

Start natural, then move structured.

Write the idea as you think it.
Let ATI translate and backtest.
Make assumptions explicit only when results surprise you.

This keeps you fast without sacrificing control.

Examples side by side