AI Investing Automation for Real Workflows

AI is only useful when it has clean inputs. HunchMachine gives you structured market insights and indicators you can route into GPT/LLMs — then automate the output into newsletters, alerts, dashboards, or reports.

  • • Structured JSON outputs designed for LLM prompts
  • • Pre-digested indicators, cycle metrics, and sentiment
  • • No-code templates that include LLM steps
  • • Automate analysis → narrative → distribution
  • • API access for custom agents and pipelines
  • • Works with real-time market data

See AI Outputs in the Wild

Our automated market posts are generated using the same patterns you can reuse.

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Use Cases

LLM Market Summaries

Generate a daily summary from clean inputs (trend, sentiment, cycle stage) and publish it automatically.

Agent Workflows

Use structured API outputs to power agents that decide what to watch or report (often alongside automated investing workflows).

Insight Generation Pipelines

Convert signals into narratives and actions (see build automated trading insights).

No-Code Prototypes

Start fast with investment automation tools and templates — then evolve into custom code later.

FAQ

What is AI investing automation?

It’s using AI to transform market inputs into decisions or outputs — and then automating the distribution (alerts, reports, posts) so it runs consistently.

Why not just feed charts to GPT?

Charts are noisy inputs. HunchMachine provides structured signals via API that LLMs can reason on reliably.

Can I run this without coding?

Yes — start with templates under Free Automations.

What if I want classic workflow automations?

That’s covered too — check automated investing workflows.

Can I automate insights for trading?

Yes — you can build automated trading insights and route them to your stack.