CASE STUDY

FX AlphaLab — Multi-Agent Financial Forecasting

PYTORCHTRANSFORMERSSHAP

Every prediction includes a full explanation of why.

fx-alphalab.app

BEFORE — WHAT GOES IN

OHLC price history, macro indicators, and a rolling sentiment score for a currency pair.

AFTER — WHAT COMES OUT

A prediction panel: an agent-by-agent vote breakdown, a SHAP bar chart ranking which signal drove the call, and a confidence score.

ARCHITECTURE

Macro + Sentiment + Market Data

Specialized Agents

Weighted Ensemble

SHAP Explainer

Prediction

PIPELINE ARCHITECTURE

How a signal is built, data → deployed system.

Hover a stage to trace its role · click to pin.

Specialist agents

Data sources

Currency pairs tracked

SAMPLE OUTPUT

A prediction with a SHAP bar chart of signal contributions and the individual agent votes that fused into the call.

fx-alphalab.app/report

[ FX ALPHALAB — SAMPLE OUTPUT ]

3 signals fused

5 architectures tested

Every prediction explained

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