This repository contains the updated implementation of the observer design, which will act as the foundation for a more advanced, locally running trading “designer” and mini-agent system.

The next versions of this project will focus on:

• Running a local strategy designer inside the project environment
• Using a grid-based commander to:
  • Adjust overall profit targets
  • Configure expectation and behavior settings
• Treating the reference object as a black-box agent that operates independently inside the processing flow

This marks the first version of the system’s setup and the starting point of a broader architecture.

Over time, this project will evolve into:

• A general investment analysis layer
• A local mini-agent capable of:
  • Processing small, frequent signals
  • Making decisions within local workflows
• The core building blocks of a modular trading/intelligence framework

This repository will serve as the starting point for constructing that architecture step by step.

In this version, the grid process has been integrated directly into the observer:

• No specific buy or sell rules are added yet
  • The grid currently functions as an isolated analytical model
  • The purpose is to observe raw behavior before applying trading logic
• No predefined grid step ranges are included
  • The system runs the grid as an independent process
  • Outputs are used to understand how the grid behaves in different conditions

This version is intentionally exploratory. It focuses on observing the natural behavior of the grid before applying tighter parameters.

Future versions will include:

• Regular updates and evaluations based on live testing
• More detailed:
  • Grid step configurations
  • Trend-direction analysis (e.g., reacting differently in uptrends and downtrends)
• Measurement of:
  • Behavioral patterns
  • Strategy outcomes and stability

I will also begin integrating:

• Volume insights
• Deeper market structure analysis

All of these will be processed through the observer and mini-agent layers, moving this project toward a flexible, local, and extensible strategy framework.