BTCL2 Investments Platform
  • Welcome
  • Getting Started
    • Introduction
    • Quickstart
  • Features we Provide
    • Features
    • Investment Strategies
    • TGBot Sending Monitoring Updates
    • AI Powered Portfolio Management
  • How it works
    • Overview
    • Brief overview of the AI model
    • Weighting Factors
    • Normalization
    • Model Analysis
    • Algorithm Testing Validation
    • Automated Transactions
    • Customize your Strategy
  • Supported Chains
    • List
  • Telegram Bot
    • Telegram Bot Overview
    • Bot Commands and Actions
    • Bot Workflow and User Interactions
    • Alvara APIs
    • Deployment and Testing
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On this page
  • Customizing Your Portfolio
  • Custom Investment Allocations
  • Strategy Personalization
  • Example Usage
  1. How it works

Customize your Strategy

Customizing Your Portfolio

The platform offers extensive customization options for users who want to tailor their investment strategies.

Custom Investment Allocations

Users can allocate specific percentages of their total investment to different BitcoinL2 tokens within their portfolio.

  • Investment Sliders: Easily adjust the allocation of funds across various tokens using intuitive sliders.

  • Real-Time Feedback: The platform provides real-time feedback on the impact of changes, helping users make informed decisions.

Strategy Personalization

Users can personalize their strategies based on their financial goals and risk tolerance.

  • Create Custom Strategies: Users can create their own investment strategies, selecting the tokens and allocation percentages that best suit their needs.

  • AI Suggestions: The platform's AI engine offers suggestions for optimizing the user's strategy based on market conditions and portfolio performance.

Example Usage

  • Scenario: A user wants to increase their exposure to a new trending BitcoinL2 token while maintaining a balanced portfolio.

  • Action: The user creates a custom strategy, allocating a higher percentage to the trending token while adjusting other allocations to maintain balance.

  • Outcome: The user’s portfolio is automatically adjusted to reflect the new strategy, with ongoing AI-driven insights provided to ensure optimal performance.

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Last updated 7 months ago