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Frequently Asked Questions

Common questions about AlgoNexta, AI models, data privacy, and billing.

What is AlgoNexta?

AlgoNexta is an AI trading operating system for strategy design, signal analysis, market intelligence, and workflow automation. Build trading ideas, backtest scenarios, and deploy research-ready workflows with AI.

What trading workflows are supported?

AlgoNexta supports strategy drafting, signal analysis, scenario backtesting, market persona simulation, and AI-assisted research workflows.

What is MCP and why does AlgoNexta support it?

MCP (Model Context Protocol) is an open standard that lets AI assistants like Claude connect to external services. AlgoNexta's MCP server gives your AI client direct access to strategy, analysis, and trading workspace tools.

How does AI signal analysis work?

AlgoNexta uses AI-assisted categorization, signal review, and market insight workflows to surface patterns, themes, and research-ready summaries from your data.

What AI models power AlgoNexta?

Strategy drafting, signal analysis, and market intelligence workflows use AI models for reasoning, summarization, and scenario analysis across the platform.

Can I connect external research or trading tools?

Yes — AlgoNexta supports MCP connections, data integrations, and workflow automation for research, signal analysis, and market intelligence.

How do market personas work?

Generate AI personas for scenario testing, audience research, and market signal validation with structured context and role-based prompts.

Is there a free plan?

Yes — sign up for free and start building strategy workflows and market intelligence at no cost. See the Pricing page for plan limits and features.

How do I get an MCP API key?

Sign in to your dashboard → Settings → API Keys → Create MCP Key. Keys are free and generated instantly.

Is my data private?

Yes — your workspace data is isolated and encrypted. MCP API keys are hashed server-side and never stored in plain text. Strategy notes and signal outputs are stored securely on Azure.