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Trading Analytics That Put Your Trading Numbers in Context

A trading journal becomes more useful when its records can be analysed consistently. Chartello combines trade history with practical trading analytics so you can use the workspace as a trading performance tracker as well as a journal.

Track the metrics traders actually review

Chartello surfaces core measures such as net P&L, win rate, expectancy and profit factor, with calendar and performance views to help you understand results across different periods.

Move from totals to trade-level context

Aggregate metrics are only useful when you can connect them back to individual executions. Chartello keeps the underlying trades, setup information, notes and journal context alongside the analytics.

Review performance over time

Use the calendar and timeframe views to see how performance changes across days and periods. This can help you identify stretches where execution, setup selection or discipline changed.

Keep risk and reward visible

The workspace includes planned risk/reward fields and supporting risk-oriented measures where the data is available. The aim is to make review more structured, not to provide personalised financial advice.

Bring imported history into the same analysis

CSV imports and supported broker connector pathways help you consolidate execution data, giving your analytics a more complete trading history.

Related Chartello guides

Explore another focused guide or return to the Chartello workspace.