Introduction

AI FX is a Python-based foreign exchange market analysis platform built around a loosely coupled broker/client architecture.

The system retrieves live market data from OANDA, distributes it over ZeroMQ, and renders real-time candlestick charts in a standalone Qt desktop client.

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Features

• Live candlestick chart visualization
• Standalone broker process
• ZeroMQ publish/subscribe messaging
• In-memory SQLite caching layer
• PySide6 / Qt desktop client
• Real-time instrument feed subscription
• Decoupled client/server architecture

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Architecture

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Broker Process

The broker is responsible for:

• Retrieving market data from OANDA
• Managing instrument and candle feeds
• Caching recent data in an in-memory SQLite database
• Publishing candle updates over ZeroMQ

Core Components

• OandaMgr
• BrokerDb
• ServerMQ

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Qt Client

The Qt desktop client is responsible for:

• Retrieving instruments from the broker
• Requesting live market feeds
• Consuming ZeroMQ candle streams
• Rendering live candlestick charts

Core Components

• ClientQt
• ClientMQ
• Plotly candlestick visualization

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Technology Stack

• Python 3
• PySide6 / Qt for Python
• ZeroMQ
• SQLite3
• Plotly
• OANDA REST API

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Dev Ops

• Dev Ops
  • Version control
  • PyPI integration
  • Testing Framework

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Demo

• Short screengrab demo