Overview

Mark11 is a specialized localized intelligence agent built for algorithmic trading environments. By leveraging the Gemma 4 architecture and a refined Modelfile, Mark11 bridges the gap between raw technical indicators and actionable execution.

Core Logic & Skills

Technical Synthesis: Evaluates the relationship between RSI (momentum), MACD (trend), and VWAP (value) to detect institutional order flow.

Execution: Stripped of standard AI conversational filler. It is hard-coded to deliver signals in a standardized pipe-delimited format for easy parsing by external Python scripts or terminal HUDs.

Risk Mitigation: Automatically rejects signal generation if stop-loss parameters are not defined or if input data is incomplete.

Usage in Terminal

To launch the agent manually:

PowerShell ollama run Ethan28/Mark11

Input Format

Mark11 is optimized to receive data in the following JSON structure:

JSON { “ticker”: “MNQ”, “rsi”: “float”, “macd”: “string”, “vwap”: “string”, “price_action”: “string” }

Output Structure

Every response follows this schema: [SIGNAL] | [CONFIDENCE %] | [LOGIC SUMMARY]

1. How to check your “Summary” in Ollama Once you have created the model, you can always view the “README” (the Modelfile instructions) directly from your terminal to make sure the skills are loaded correctly:

PowerShell ollama show Ethan28/Mark11 –system