Inverse Watch Docs
AppLanding
  • Overview
    • Home
    • Governance
      • Proposal 7
      • Proposal 25
      • Proposal 52
      • Proposal 107
      • Proposal 147 - S1
      • Proposal 189 - S2
  • Products
    • Inverse Alerts
      • See on Twitter
    • Inverse Chatbot
      • /doc
      • /imagine
      • /data
      • /graph
    • Inverse Subgraphs
      • See inverse-subgraph on Mainnet
      • See inverse-governance-subgraph on Mainnet
    • Inverse Watch
      • Go to App
  • User Guide
    • Quickstart
    • Alerts
      • Setting Up an Alert
      • Adding New Alert Destinations
      • Customize Alert Template
      • Multiple Column Alert
    • Queries
      • Creating and Editing Queries
      • Querying Existing Query Results
      • Query Parameters
      • How to Schedule a Query
      • Favorites & Tagging
      • Query Filters
      • How To Download / Export Query Results
      • Query Snippets
    • Visualizations
      • Cohort Visualizations
      • Visualizations How-To
      • Chart Visualizations
      • Formatting Numbers in Visualizations
      • How to Make a Pivot Table
      • Funnel Visualizations
      • Table Visualization Options
      • Visualizations Types
    • Dashboards
      • Creating and Editing Dashboards
      • Favorites & Tagging
      • Sharing and Embedding Dashboards
    • Data Sources
      • CSV & Excel Files
      • Google Sheets
      • JSON (API)
      • Python
      • EVM Chain Logs
      • EVM Chain State
      • GraphQL
      • Dune API
    • Machine Learning
      • Data Engineering
      • Regressors
        • Linear Regression
        • Random Forest
        • Ada Boosting
        • Gradient Boosting
        • Neural Network (LSTM)
      • Training and Predicting
      • Metrics & Overfitting
      • Examples
        • Price Prediction
          • Data Preprocessing
          • Model Creation & Training
          • Metrics Evaluation
          • Back Testing
          • Visualizing
        • Liquidation Risk
  • Admin & Dev Guide
    • Setup
    • Redash
    • Integrations & API
    • Query Runners
    • Users
      • Adding a Profile Picture
      • Authentication Options
      • Group Management
      • Inviting Users to Use Redash
      • Permissions & Groups
    • Visualizations
  • Cheat Sheets
    • Snippets
    • Contracts
  • More
    • Deprecated Apps
    • Github : inverse-flaskbot
    • Github : inverse-subgraph
    • Github : inverse-watch
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  1. Products

Inverse Watch

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Last updated 1 year ago

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Inverse Watch is an innovative product developed by the Inverse DAO Analytics Working Group. Designed to deliver comprehensive data analysis and alerting services, it equips stakeholders with the knowledge necessary to make informed decisions. Inverse Watch has positioned itself as a reliable source of transparent information, striving to deliver clear insights based on accurate and real-time data.

This sophisticated tool has been built leveraging Redash, an open-source platform for teams to query, visualize and collaborate around data. Redash has been integrated with a range of functionalities specific to the Web3 environment.

Inverse Watch facilitates its users to monitor and analyze a wide array of blockchain activities. By integrating its systems with Twitter and Discord, it disseminates alerts and reports across these platforms, ensuring that information reaches users swiftly and conveniently. For Twitter, these reports manifest as tweet alerts about significant market movements and trends, while on Discord, the bot channels comprehensive reports for community members to analyze and discuss.

A significant feature of Inverse Watch is its capacity to render complex blockchain information accessible to the general public. By democratizing this data, it not only improves transparency but also enables individuals to actively participate in blockchain activities. Whether you're an experienced trader seeking detailed analytics or a newcomer looking for a friendly introduction to blockchain data, Inverse Watch provides an invaluable tool for navigating the ever-evolving landscape of decentralized finance.

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