The Fuse Markets Development Framework is part of the eTag Fuse Platform, designed to enable seamless integration, automation, and interoperability across trading applications. It helps developers, financial institutions, and technology integrators create automated trading workflows, integrate market data, and streamline trading processes. The framework supports advanced automation, AI-driven insights, and real-time data processing.
This framework is ideal for:
The following connectors, adapters, and exchange providers are available for integrating and automating market workflows within the Fuse platform:
Connectors are components that enable the integration of external market data providers, trading platforms, and other third-party services with the Fuse platform. They facilitate real-time data retrieval, trade execution, and seamless communication with external systems, ensuring automated workflows and smooth data flow.
Adapters are used to transform and process market data, ensuring compatibility and enabling deeper analysis. Adapters play a key role in building indicators, processing market trends, and supporting automated trading decisions. Below are the available adapters:
Breadth Indicators: Evaluate the extent of participation in market movements across stocks or sectors.
Cycle Indicators: Analyze recurring patterns or cycles in market data to predict future price movements.
Economic Indicators: Reflect macroeconomic data that influence market trends.
Intermarket Indicators: Analyze relationships between different markets or asset classes.
Market Strength Indicators: Measure the internal dynamics of the market, such as breadth and volume.
Mean Reversion Indicators: Identify when prices deviate from their average, indicating a potential reversal.
Momentum Indicators: Gauge the speed or rate of price changes to identify trends or reversals.
Moving Averages: Smooth out price data to help identify the direction of trends.
Order Flow Indicators: Analyze buying and selling activity to gauge market sentiment and liquidity.
Sentiment Indicators: Measure the psychology of market participants to predict trends.
Statistical Indicators: Use statistical methods to reveal hidden patterns in market data.
Support and Resistance Indicators: Identify price levels where an asset tends to reverse direction.
Synthetic Indicators: Combine multiple data points to offer unique insights.
Trend Indicators: Identify the direction and strength of market trends.
Volatility Indicators: Measure the degree of market uncertainty or risk.
Volume Indicators: Analyze trading volumes to confirm price movements.
Exchange Providers integrate major exchanges and trading venues into the Fuse platform. These providers enable seamless access to market data, trade execution, and exchange functionalities, supporting trading operations across multiple markets.
Binance US Exchange: A leading cryptocurrency exchange providing access to various digital assets. The integration allows real-time market data retrieval and execution of trades on the Binance US platform.
Additional Exchange Providers: Placeholder for other major exchange providers that can be integrated with the Fuse platform.
The Fuse Markets Development Framework is built on a scalable, modular architecture designed for secure and efficient trading operations.
For a detailed architectural diagram and more technical insights, visit Fuse Markets Architecture.
Is the framework suitable for high-frequency trading?
Yes, the framework is optimized for real-time data and high-frequency trading environments.
Can external market data providers be integrated?
Absolutely, the framework supports various external data providers, enabling seamless integration.
Can the framework handle cross-domain automation?
Yes, it allows automation of workflows across multiple domains, such as trade execution, data processing, and reporting.
Is the framework customizable?
Yes, developers can extend the framework’s capabilities, integrating custom connectors and adapters to meet specific trading needs.