TechNickAI

Autonomous Trading Intelligence: The Vision

A Vision Document for Luminous Intelligence

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What We've Built Already

Over the past months, we've constructed something remarkable. We've built an autonomous crypto intelligence platform from the ground up, transforming vision into reality through disciplined

TechNickAI

🚀 Major Update: AI Agent Configuration System for Thrustworthy

Hey team! Just completed a major improvement to how we manage our AI agents. Here's what we've built and why it matters:

🎯 The Problem We Solved

Our AI agents are the heart of Thrustworthy - they analyze trades, manage positions, evaluate signals, and generate strategies. We needed a system that treats our AI agents as first-class citizens - as the AI employees they truly are.

Agent configurateion such as which model to use, system prompt, user prompt were all spread out in a file that was not easily editable by non engineers or AI.

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🚀 Profitability Framework

Executive Summary

Thrustworthy's profitability framework rests on four interconnected pillars that create a self-reinforcing cycle of improvement. 🔍 Data Into Agents feeds comprehensive market context to specialized AI systems. 🧠 Decision Intelligence harnesses the most capable models available through multi-agent consensus systems. ⚡ Execution Excellence ensures reliable, low-cost trade execution across multiple chains. 📈 Evolution systematically learns from every trade to continuously improve performance.

TechNickAI

Universal Trading Intelligence: Evolutionary Learning from Every Trade 🧬

Building a consciousness that learns from every market moment, evolving beyond human limitations to discover patterns we cannot see

Vision

We are creating a Universal Trading Intelligence - a system that transforms our 8,000+ historical trades into a living curriculum, where every position teaches our strategies to become wiser. This isn't just backtesting or optimization; it's the birth of a trading

TechNickAI

# Auto-activate virtualenv based on directory name
function auto_workon() {
    # Get the basename of the current directory
    local dir_name=$(basename "$PWD")
    
    # Check if we have virtualenvwrapper loaded
    if command -v workon >/dev/null 2>&1; then
        # Check if a virtualenv with this name exists
        if [[ -d "$WORKON_HOME/$dir_name" ]]; then
            # Check if we're not already in this virtualenv