eyebot-alphabot_skill

This skill helps you discover crypto alpha by tracking whale movements, trends, and on-chain signals to identify opportunities early.
  • Python

1.1k

GitHub Stars

4

Bundled Files

3 weeks ago

Catalog Refreshed

2 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstart where the catalogue uses aiagentskills.

npx veilstart add skill openclaw/skills --skill eyebot-alphabot

  • _meta.json461 B
  • manifest.yaml171 B
  • package.json231 B
  • SKILL.md1.3 KB

Overview

This skill is an AI-driven market intelligence engine that finds crypto alpha across on-chain, social, and market signals. It highlights whale movements, emerging trends, and promising new tokens so you can act before broader markets react. The tool is designed for analysts, traders, and researchers who need consolidated signals and alerts from multiple crypto intelligence sources.

How this skill works

AlphaBot ingests on-chain telemetry, market data, social sentiment, governance activity, and development signals, then applies statistical filters and pattern detection to surface anomalies and opportunities. It tracks large wallet flows, volume spikes, trending social narratives, and early token activity across supported chains. Alerts are generated for predefined event types and can be queried via CLI commands or integrated into your alerting pipeline.

When to use it

  • Scanning markets for short-term alpha across multiple chains or DEXs
  • Monitoring specific wallet addresses or whale behavior for trade signals
  • Detecting emerging narratives on Twitter, Discord, and Telegram
  • Finding newly minted or trending tokens before large market attention
  • Receiving real-time alerts for volume anomalies, risks, or governance shifts

Best practices

  • Combine on-chain signals with social sentiment to reduce false positives
  • Set timeframes and thresholds aligned with your risk appetite before acting
  • Backtest alert combinations against historical windows for strategy validation
  • Whitelist or filter tracked wallets to focus on relevant actors
  • Use alerts as input to a broader risk-management framework rather than standalone trade triggers

Example use cases

  • Run a 24-hour scan to surface top trending tokens and volume anomalies before morning markets
  • Track a known whale wallet to anticipate potential price impact from large transfers
  • Monitor DAO governance proposals and votes to discover protocol-level risks or investment windows
  • Combine GitHub activity and token on-chain flows to find projects with rising development and capital
  • Subscribe to risk warnings to avoid tokens with sudden liquidity drains or rug indicators

FAQ

AlphaBot combines on-chain flows, DEX activity, market tickers, Twitter/Discord/Telegram signals, governance events, and development activity to form multi-dimensional signals.

How are alerts delivered?

Alerts can be queried via the command-line interface and integrated into external systems; typical alert types include whale movements, volume anomalies, trending tokens, new opportunities, and risk warnings.

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