Omira Documentations
  • 🧪Omira Labs
    • Introduction
    • Predictive Intelligence In DeFi
  • Omira API
    • Introduction
    • Access Packages
    • Request Access
    • API Documentation
  • 🔮B.B4 Prediction Models
    • Introduction
    • Model Whitepaper
    • dL: The "Degen" Model
  • 🤖0.07 Agent model
    • Introduction
    • Model Whitepaper
      • Model Personalization
      • Simulate Market Events
      • Trading Applications
  • 📈The SmartSwap DEX
    • Litepaper Overview
  • 🪙The Omira Token
    • Introduction
    • $OMIRA Token
  • 📖The Manual
    • Accessing B.B4
    • Accessing B.B4 dL
    • Tips & Tricks
  • ⛰️Development Path
    • Omira Token: Utility & Value Expansion
    • Roadmaps
      • Phase 1: Development of B.B4
      • Phase 2: The Rollout and More
      • Phase 3: Development of 0.07 & More
      • Phase 4: The Expansion
  • 📚Resources
    • 🖥️Omira Labs Website
    • 🤖B.B4 Model Web
    • 🐦X
    • 📲Telegram Group
    • 🪙Omira Token Web
    • Terms and Disclaimer
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  1. 0.07 Agent model
  2. Model Whitepaper

Model Personalization

Tailor 0.07 to your trading profile.

Omira’s 0.07 model specifically tailors its recommendations to each user’s individual trader profile. Trader profiles are created by 0.07 based on the following sources:

  1. A self-evaluation submitted to the model by the trader upon registration, which includes questions related to:

  • Risk tolerance level (conservative, moderate, aggressive)

  • Preferred holding periods (day trading, swing trading, long-term)

  • Investment goals (growth, income, preservation)

  • Previous trading experience and knowledge level


  1. A monitoring of the trader’s wallet activities & on-chain behaviour, evaluating factors such as:

  • Average position size relative to portfolio

  • Historical trade frequency and timing

  • Asset diversification patterns

  • Reaction to market volatility

  • Profit-taking behaviors

  • Stop-loss adherence

Based on these sources, 0.07 creates an individual trader profile for each user with parameters such as:

  • Risk appetite score

  • Preferred trading timeframes

  • Asset allocation boundaries

  • Maximum drawdown tolerance

  • Minimum profit target

  • Volatility tolerance

In this way, Omira’s 0.07 model is able to tailor its suggestions and recommendations specifically to the user.

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Last updated 5 months ago

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