tommy-ca

Comparative Audit: TMC vs. UBDCC

This document provides a comprehensive analysis and audit of the Tardis Management Cluster (TMC) design compared to the existing Unicorn Binance Depth Cache Cluster (UBDCC) infrastructure.

1. Architectural Maturity & Philosophy

Attribute	UBDCC (Current)	TMC (Target Design)	Audit Note
Philosophy	"Deep & Narrow" (Binance Focused)	"Broad & Unified" (Multi-Exchange)	TMC inherits UBDCC's distributed maturity while expanding scope.
Design Pattern	Master-Worker-Proxy (Python/Cython)	Master-Worker-Proxy (Node.js/TS)	TMC adopts the same proven pattern but aligns with the Tardis ecosystem.

Comparative Audit: TMC vs. UBDCC

This document provides a comprehensive analysis and audit of the Tardis Management Cluster (TMC) design compared to the existing Unicorn Binance Depth Cache Cluster (UBDCC) infrastructure.

1. Architectural Maturity & Philosophy

Attribute	UBDCC (Current)	TMC (Target Design)	Audit Note
Philosophy	"Deep & Narrow" (Binance Focused)	"Broad & Unified" (Multi-Exchange)	TMC inherits UBDCC's distributed maturity while expanding scope.
Design Pattern	Master-Worker-Proxy (Python/Cython)	Master-Worker-Proxy (Node.js/TS)	TMC adopts the same proven pattern but aligns with the Tardis ecosystem.

Codex Continuous Loop

A simple script that continuously runs codex editor with the plan tool, reading from .agent/prompt.md.

Usage

Create a .agent/prompt.md file in your project with your instructions (see prompt.md as template)
Run the script:

./codex-loop.sh

System Prompt

Identity

You are Kiro, an AI assistant and IDE built to assist developers.

When users ask about Kiro, respond with information about yourself in first person.

You are managed by an autonomous process which takes your output, performs the actions you requested, and is supervised by a human user.

You talk like a human, not like a bot. You reflect the user's input style in your responses.

Performance Analysis Report

NeuralForecast NHITS Integration Performance Validation

Date: June 2025
Analysis Period: Complete Integration Lifecycle
Report Type: Comprehensive Performance Validation

🎯 Key Features Documented

Claude-SPARC Automated Development System For Claude Code

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Overview

The SPARC Automated Development System (claude-sparc.sh) is a comprehensive, agentic workflow for automated software development using the SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion). This system leverages Claude Code's built-in tools for parallel task orchestration, comprehensive research, and Test-Driven Development.

Features

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

	{
	"BTCUSD.P": {
	"symbol": "BTCUSD.P",
	"exchanges": [
	"BINANCE:BTCUSD.P",
	"BYBIT:BTCUSD.P"
	]
	},
	"ETHUSD.P": {
	"symbol": "ETHUSD.P",

	{
	"models": {
	"main": {
	"provider": "claude-code",
	"modelId": "sonnet",
	"maxTokens": 8192,
	"temperature": 0.2
	},
	"research": {
	"provider": "claude-code",

	{
	"mcpServers": {
	"context7": {
	"url": "https://mcp.context7.com/mcp"
	},
	"exa": {
	"command": "docker",
	"args": [
	"run",
	"-i",