Skip to content
View WhalePredictAI's full-sized avatar

Block or report WhalePredictAI

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 250 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
WhalePredictAI/README.md

Hi there πŸ‘‹

WhalePredict AI ($WPAI)

AI-Powered Historical Whale Pattern Analysis for Smarter Crypto Trading

Overview

WhalePredict AI is an AI-driven analytics platform that analyzes historical blockchain data to identify market conditions where whale activity has historically occurred. This helps traders anticipate potential future whale movements and make informed decisions.

How It Works

  • Historical Data Analysis – Analyzes past blockchain transaction data to identify conditions that have attracted whale activity.
  • Real-Time Monitoring – Tracks significant wallet movements on Solana to stay updated on current trends.
  • AI-Based Predictive Modeling – Highlights patterns in historical whale trading behavior to provide actionable insights.
  • Automated Alerts – Notifies traders when similar market conditions arise, enabling strategic positioning.

Repository Structure

  • /src – AI & blockchain tracking scripts.
  • /api – API endpoints for historical pattern analysis.
  • /docs – Technical documentation and whitepapers.
  • /assets – Logos, branding materials.

Tokenomics

  • Total Supply: 1,000,000,000 $WPAI
  • Liquidity Locked – Contract renounced.
  • Fair Launch Model – Designed for transparency and growth.

Roadmap

  1. Phase 1 – Launch & Community Building

    • Website & GitHub release.
    • Twitter marketing campaign.
    • Basic historical analysis tools deployment.
  2. Phase 2 – AI Refinement & Market Adoption

    • Advanced historical pattern detection.
    • Community testing and feedback loops.
    • Exchange listing applications.
  3. Phase 3 – Expansion & Automation

    • Fully automated trading signals.
    • AI-enhanced trading strategies based on historical data.
    • Strategic partnerships & growth initiatives.

Socials & Website

License

This project is licensed under the MIT License – see the LICENSE file for details.

Popular repositories Loading

  1. WhalePredictAI WhalePredictAI Public

    AI-powered analytics tool for tracking and predicting whale movements in the crypto market. Stay ahead of the whales with real-time insights.

    Python