Trading Analytics

Turn documented trades into analyzable data

Analysis becomes more useful when the underlying trades are structured. NELDAR uses the connected dataset from trades, accounts and journal as the basis for analytics.

One dataset

Analytics use the same trades you manage and document.

Accounts in context

Main accounts and subaccounts can be viewed separately without losing the overall picture.

Result to timeline

Notable results can be compared with the underlying trade history.

Analytics

Not another separate dataset

Because planning, management and journal data live in one system, analytics do not have to start from zero.

Analyze structured trades

View accounts and strategies separately

Connect results with journal context

Build a basis for later comparisons

Learning

Numbers gain context

A result alone does not explain why a trade unfolded the way it did. Linking it to the journal helps view numbers and decisions together.

Connect outcome and event chain

Identify recurring patterns

Include your own notes

Analyze without media breaks

Frequently asked questions

Do I need to re-import trades for analytics?

Analytics can build on trade data already present in NELDAR.

Can I view different accounts separately?

NELDAR structures main accounts and subaccounts so analytics can retain account context.

Are analytics trading signals?

No. They evaluate your existing trading data and do not replace your trading decision.

Understand more than the result

Use documented trades as the basis for structured analysis