TDAG - Main Sequence

THE MAIN SEQUENCE SOFTWARE ECOSYSTEM

What is TDAG?

A distributed and scalable engine to translate trading strategies into directed acyclic graphs.
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It’s a workflow tool built for time series workflows

Programmatically authors, schedules, and monitors workflows, with a specific focus on time series, by managing, structuring, and organizing ETL pipelines using Directed Acyclic Graphs (DAGs).

It's dynamic and extendible python pipelines

Pipelines are created in Python, enabling dynamic generation and instantiation of pipelines through code. This flexibility allows users to easily define custom operators and extend libraries to match the level of abstraction required for their specific environment.

It's built for systematic trading

Designed for translating time series workflows into production for live trading environments, this system automatically scales to accommodate any number of trading strategies without increasing complexity.

It's ML & AI integration for scalable trading strategies

Our virtual asset manager is a next-generation tool that fully automates and streamlines operations, ensuring smooth and effective business performance. It reduces manual tasks, enhances efficiency, and allows your team to focus on strategic initiatives, paving the way for growth and success.

THE FEATURES

Design the alpha of the future

Real time monitoring

Built for AI and ML integration

Investment strategies as graphs

Time series workflows

Build for investing at scale

Flexible deployment solutions

Investment Strategies as Graphs

Revolutionize and improve your investment process.

Transform any investment strategy into a Directed Acyclic Graph (DAG), ranging from simple market weight rebalancing to an ensemble of machine learning models.

Focus on enhancing the richness of strategies one node at a time without increasing complexity.

Be production-ready immediately with native integration with VAM.

Invest in Scale

Deploy one or one thousand strategies.

Each strategy is fully defined by code and independently managed.

TDAG will automatically autoscale resources as needed, such as allocating GPUs for AI training on specific nodes or using multi-threaded machines for fast rolling regressions.

Clear, reproducible, and explainable investing

Transform your investment strategies into Financial Products as Code.

Clear visibility into the logic and rules governing decision-making processes, ensuring transparency in how investments are managed and executed.

Code-defined strategies enable precise replication of investment processes across different environments, ensuring consistent results and reducing variability in performance.

Integrate advanced ML and AI

Integrate advanced machine learning and artificial intelligence models seamlessly into your investment strategies.

With just one node, integrate scheduled synchronous inferences or asynchronous training tasks.

TDAG is built to automatically handle machine learning training tasks and seamlessly integrate with your favorite serving solutions such as Ray, MLflow, etc.