What is System R AI?
System R AI is a decision intelligence system for trading and investing. It is presented through the Agentic Trading Workspace for active traders and Developer & Finance Tools as an API toolkit for builders.
System R AI
Clear answers about System R AI, the Agentic Trading Workspace, pricing, developer tools, data handling, market risk, media, and company information.
System R AI is a decision intelligence system for trading and investing. It is presented through the Agentic Trading Workspace for active traders and Developer & Finance Tools as an API toolkit for builders.
Decision intelligence is the operating logic that keeps market context, AI research, risk controls, records, and review connected around a trading or investing decision.
The Agentic Trading Workspace is the System R web app for active traders to research, plan, journal, and review decisions in one place.
The API Toolkit provides developer and finance tools for agents, Python workflows, notebooks, and backend services.
System R is for active traders using the workspace and for builders using finance tools inside agent, Python, notebook, or backend workflows.
No. System R is software for decision support, research, planning, journaling, and review. It is not marketed as a set-and-forget trading bot.
No. System R is not a signal service and does not promise trade calls or automatic outcomes.
No. System R does not provide financial, investment, tax, or legal advice. Users remain responsible for decisions and risk.
No. System R does not guarantee profits. AI outputs, market data, calculations, and visualizations can be incomplete or incorrect.
No. System R is not a broker, exchange, custodian, broker-dealer, or investment adviser.
No. The public product focus is research, planning, journaling, review, and decision support.
System R uses usage-based prepaid credits. New users start with $5 free signup credit and can add balance when needed.
Credits support eligible product usage. Developer or API billing can vary by workflow and should be verified against current docs before integration.
Yes. New users start with $5 free signup credit.
The pricing page states no expiry and no monthly or yearly contract for prepaid credits. Account termination terms may still apply under the Terms of Service.
The signup credit is free. Public pages should not treat all developer tools or all usage as free unless current billing and docs agree.
Usage beyond free credit can be billed through prepaid credits. Some developer, data-backed, research-backed, or AI-backed workflows may have different billing behavior and should be checked in current docs.
Yes. Developers can use the API Toolkit and Developer & Finance Tools where enabled.
Yes. The developer layer is described for agents and compatible workflows.
Yes. Public developer copy describes Python workflows as a supported developer surface.
Yes. Notebooks are included in the public API Toolkit positioning.
System R can use supported market data and research context where available or where supplied by the user. Coverage can vary.
Some views may use supported quote or market-data paths where available, but users should verify important data before acting.
Where enabled, memory can preserve useful profile, project, chat, log, note, and review context for future analysis.
Yes. The workspace can use supported uploaded files, profile files, project files, trade imports, screenshots, notes, and documents supplied by the user.
Public privacy language states user data is not used to train AI models.
Public privacy language states System R does not sell personal data.
Ashim Nandi is the founder of System R AI. The About page links to the founding story.
Principles of Trading is a 16-lecture educational framework covering risk, probability, expected value, and the mathematics behind systematic trading.