FXA AI Pro analytical dashboard displaying strategy performance data

The tools behind every decision.

FXA AI Pro combines data analysis, predictive modelling, and audit trails into a single workflow — built for traders who need to know why a strategy was surfaced, not just that it was.

Four systems, one workflow

Each feature below is designed to work independently or as part of the full FXA AI Pro pipeline — from raw data ingestion to a documented, reviewable strategy recommendation.

Data Analysis

Structured market data ingestion

FXA AI Pro processes historical and streaming market data into a consistent structure, so every model works from the same clean baseline instead of ad-hoc spreadsheets or disconnected feeds.

Predictive Modelling

Scenario-based forecasting

Models generate a range of plausible outcomes rather than a single point prediction, giving you a sense of the distribution of results a strategy might produce, not a false certainty.

Strategy Selection

Ranked, explainable output

Every suggested strategy is ranked against your stated criteria, with the underlying factors laid out — so selection is something you can review, not a black box you have to trust.

Audit Trail

Full decision history

Each recommendation is logged with the data and assumptions used to produce it, so you can revisit any past output and understand exactly how it was reached.

Backtesting

Historical performance review

Run candidate strategies against historical periods before committing capital, comparing how they would have behaved across different market conditions.

Reporting

Plain-language summaries

Technical output is paired with a written summary of the reasoning behind it, so findings are usable by anyone on your team — not only the person who built the model.

Built around review, not blind trust

Most automated tools present a conclusion and ask you to act on it. FXA AI Pro is built the other way around: it presents the reasoning first, and treats the conclusion as something for you to confirm or reject.

That means every model run is accompanied by the inputs it used, the assumptions it made, and the range of outcomes it considered — so you're evaluating a documented process, not a single number.

See the Advantages
FXA AI Pro team reviewing model output and audit trail data

From raw data to a documented decision

1

Ingest & normalise

Market data is pulled in and standardised so every downstream model works from a consistent, comparable dataset.

2

Model & rank

Predictive models generate scenario ranges for candidate strategies, which are then ranked against your defined criteria.

3

Review & log

Output is presented with its supporting reasoning and stored in an audit trail, ready for your review before any action is taken.

See these features on your own data

Request access to walk through the FXA AI Pro workflow with a dataset relevant to your own trading approach.

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