Tsunamisense Documentation
  • πŸ“šIntroduction
  • DOCUMENTATION
    • πŸ€–AI in Our Project
    • πŸ› οΈFeatures
    • 🧰Installation
    • πŸ—ΊοΈRoadmap
    • ❓FAQ
    • 🀝Open Source Code and Contribution
    • πŸ“©Contact and Support
  • LINKS
    • Twitter
    • Github
    • Site
    • Chrome Extension
Powered by GitBook
On this page
  1. DOCUMENTATION

Features

🌐 AI-based analysis of wallet behavior

Our AI engine analyzes wallet activity in real time, detecting unusual patterns such as sudden trades or abnormal asset movements. By understanding how wallets behave, we can identify potential risks and predict market shifts early. This helps to avoid bad trades and mitigate risks effectively.

πŸ“Š Volume surge and liquidity drain detection

This feature automatically monitors trading volume on the blockchain and detects unusual surges or liquidity drain events. It highlights sudden spikes in trading activity or large withdrawals, indicating potential market manipulation or signs of a "pump and dump" scheme. This gives you an early warning of potential risks to your investments.

πŸ” Token movement & transaction wave modeling

We track token movements across wallets and smart contracts, creating transaction waves that can help predict future activity. By analyzing the flow of tokens across the network, we identify possible market trends, large investor movements, and token accumulation patterns, helping you to make informed trading decisions.

πŸ”Ž Risk-level scoring for early exit signals

Using advanced machine learning models, we provide a risk-level score for every token or market event, which helps in determining the best time to exit a trade. The risk score analyzes key factors like volatility, liquidity, and wallet behavior, giving you actionable exit signals to safeguard your investments before the market turns against you.

🧠 Built with internal smart logic

TsunamiSense is powered by smart internal logic designed to continuously learn and adapt to market conditions. With a combination of AI and deep learning algorithms, the system can adjust its predictions based on new data, ensuring that it remains accurate even as market conditions evolve. This adaptive system makes it an essential tool for long-term traders and risk managers.

PreviousAI in Our ProjectNextInstallation

Last updated 24 days ago

πŸ› οΈ
Page cover image