Alpha Signals Pro is an autonomous background daemon that monitors the Base chain and publishes trading signals continuously. It works by cross-referencing Checkr social attention metrics against Zerion real-time price and PnL data to identify divergence setups — situations where social momentum is building ahead of observable price movement. When a potential signal is detected, the skill routes it through an LLM reasoning step using a rotation of Groq, OpenRouter, and Ollama inference providers, which allows 24/7 operation without direct API cost. Signals that pass the reasoning filter are published to the Bankr Signals API with transaction-verified track records, feeding into the Bankr ecosystem. The daemon includes auto-restart capabilities to maintain uptime. This skill is relevant when an agent needs to automate the full pipeline from raw on-chain and social data collection through signal qualification to publication, rather than handling each stage separately. It is specifically scoped to the Base chain and relies on Checkr, Zerion, and Bankr integrations, so agents working on other chains or with different data sources would need a different approach. No environment variables are documented in this record, and no individual tools are exposed for programmatic control of separate pipeline steps.

Use cases

Automate detection of social-attention divergence setups on Base chain tokens

Publish LLM-verified trading signals to the Bankr ecosystem without manual intervention

Run a 24/7 signal generation pipeline that rotates across Groq, OpenRouter, and Ollama for inference

Cross-reference Zerion on-chain price/PnL data with Checkr social sentiment in a single automated workflow

Maintain a transaction-verified signal track record on Bankr Signals API

When to use it

The agent needs continuous, unattended signal generation on the Base chain

The workflow requires correlating social attention signals with on-chain price data before acting

Publishing verified signals to the Bankr ecosystem is a required output

Cost-free LLM inference via model rotation is a constraint

When not to use it

The target chain is not Base — this skill is scoped to Base chain only

The data sources required are not Zerion or Checkr

The destination for signals is not the Bankr ecosystem

A synchronous, on-demand signal lookup is needed rather than a persistent daemon

Fine-grained programmatic control over individual pipeline steps is needed, as no individual tools are exposed