Datafeed Toolbox™ provides access to financial data, news and social media data, and trading systems. You can establish connections from MATLAB® to retrieve historical, intraday, or real-time data streams and then perform analyses, develop models and financial trading strategies, and create visualizations that reflect financial and market behavior.
You can use the streaming and event-based data in MATLAB to build automated trading strategies that react to market events via industry-standard or proprietary trade execution platforms. The toolbox includes functions for analyzing transaction costs, accessing trade and quote pricing data, defining order types, and executing orders.
Supported data providers include Bloomberg®, FRED®, Haver Analytics®, Quandl®, Twitter®, and Refinitiv™. Supported trade execution platforms include Bloomberg EMSX, Trading Technologies® X_TRADER®, Wind Data Feed Services (WDS), and CQG®.
Return historical foreign exchange rates from FRED into MATLAB using the
Return historical data from Haver Analytics into MATLAB using the
Return current and historical data from Bloomberg using the
functions of the
Establish event handlers, subscribe to an instrument, and create a market order
Return historical data using an applied calculation with the
Create instrument, register event handlers, create order set, and perform order setup and submission.
Retrieve real-time snapshot WDS data, perform simple data analysis, and create an order based on the results.
Find the connection function for each supported data service provider.
Algorithmic Trading: Strategies for Optimizing Trade Execution (58 min, 42
Use MATLAB to improve trade quality and portfolio returns throughout all phases of the investment cycle.
How to Import Data from Datastream Web Services (3 min 13 sec)
Import historical data using Datastream Web Services from Refinitiv, determine technical indicators, and plot financial charts.