MachineTrader™ was designed to serve the needs of serious traders who want to automate their trading but who lack the full stack programming skills to build their own platforms.
View the MachineTrader™ Demo site here!
MachineTrader™ was built using a visual-programming, flow-based development tool, which allows users to program without typing a language. The JavaScript code is written automatically as you drag and drop the various nodes available in the palette. You can also modify or create new functions with your own JavaScript code. Once your algorithms are in “flow” form, they can be exported as JSON files, making them easy to reuse, or to import/export for sharing.
Flows can then be deployed to the runtime in a single-click. JavaScript functions can be created within the editor using a rich text editor. The flows are stored using JSON which makes it easy to share nodes. A built-in library allows you to save useful functions, templates or flows for re-use. A light-weight runtime is built on Node.js, taking full advantage of its event-driven, non-blocking model.
Each MachineTrader™ trading subscription includes a hosted website which can expand to your unique requirements. Want new features? You can build them! This also means that all of your data and strategies are completely private - your algorithms remain proprietary to you!
Accurate, reliable, real-time data is critical to your trading. MachineTrader™ provides prebuilt widgets that import time series data from trusted data suppliers like Polygon.io and Alpaca Markets. Data is displayed with powerful charting features, which include popular technical indicators. All plans include financial reports and company information for all publicly traded, US-based companies
MachineTrader™ also provides official daily inflation indicators from FRED (Federal Reserve Economic Data), and news feeds from more than 80 business publications and forums. All news is scored for sentiment using our proprietary NLP. Sentiment scores can then be used to improve your predictive models.
Alternative data sources include FRED daily inflation indicators (Federal Reserve Bank of St Louis), news feeds from more than 80 business publications, as well as forums like Wall Street Bets. News is scored using our proprietary NLP which can be used in conjunction with pricing data to predict future price movements
