John Shelburne thecatfix

SlackAgents MVP: Bringing a Team Back to Life

Before I show you how this was built, here’s the part that made me stop and reread the transcript.

In the first live test, three agents got into a round-robin discussion about improving an ETF platform. Within a couple of turns, one of them dropped a line that instantly felt like a real teammate in a real design review:

“Bonds tolerate minutes of delay. ETF arb disappears in seconds.”

Another agent immediately shifted the conversation from architecture to usability — not in a generic way, but in a “we’ve lived this pain” way — proposing a traffic-light UI with drill-downs and explicit data quality flags. Then a third agent pulled the whole thing back into execution reality: staged rollout, market-by-market, timezone-aware.

V2 Model Improvements

V2 models fix critical bugs in the original training code:

Issue	V1 (Broken)	V2 (Fixed)
Double-softmax	Loss stuck at 0.3133, no learning	Loss decreases, models learn
Regularization	None (instant overfit)	BatchNorm + Dropout(0.3)
'both' spread	Used only log features (90)	Uses both features (180)
Probability calibration	0.99-1.0 (overconfident)	0.50-0.90 (realistic)

KatanaEquities Trading Signals Report - V2

Generated: January 29, 2026 Models: V2 (fixed training: BatchNorm, Dropout, proper 'both' spread) Universe: S&P 500 stock pairs

Top Consensus Pairs (V2)

John Shelburne

1) Executive snapshot (who you are, in one page)

You are a fixed income market professional who grew up inside the “plumbing” of trading: first by selling and implementing institutional order/trade workflows (Bloomberg), then by operating and monetizing credit flow (Dallas VP roles), then by helping tier‑1 institutions deploy liquidity and signal platforms (Algomi). You are not “a finance guy who learned to code” in the shallow sense; you are someone who learned where the market’s friction lives, then repeatedly moved closer to the systems that create/resolve that friction.

The most important arc isn’t the job titles; it’s the transition from “domain expert who can explain the market” to “domain developer who can build and operate systems that reshape the market.” CatFIX was your explicit entrepreneurial expression of that arc. Katana became the forcing function that turned “interest in engineering” into “ownership-level engineering reality,” because cloud invoices do not negotiate: the

KatanaEquities Trading Signals Report

KatanaEquities Pairs Trading Signal Report by- Compression probability signals for S&P 500 stock pairs

Generated: January 26, 2026
Models: V2 (fixed training: BatchNorm, Dropout, proper 'both' spread)
Universe: S&P 500 stock pairs

The dipstick guide to downloading and installing Neovim Nightly

Are you a halfwit like me and have to spend alot of time figuring out wtf the difference is between arm64 and x86 when brew install isn't available?

Welcome to my world!!!

This is my copy paste session of conversation with ChatGPT. If you have any comments, please leave them. I won't read them.

Download Nightly

Exploring the World of Automated Pipelines: A Rapid-Fire Analogy Session

Sometimes, the best ideas come from throwing thoughts against the wall and seeing what sticks. Today, I want to try something new--an approach I've never taken before--to spark creativity and explore a topic from fresh angles.

Here's the plan: I'll throw a few phrases your way. These phrases will act as starting points, and I'd like you to respond with quick, sharp analogies or short descriptions that pop into your mind. Think of it as a brainstorming session but focused and fast-paced--a spitball session, if you will.

You	ChatGPT

Extreme Programming

Extreme Programming (XP) is an agile software development methodology that emphasizes customer satisfaction, flexibility, and high-quality software delivery. It was introduced by Kent Beck in the late 1990s and is designed to improve software development practices through a set of core values, principles, and practices. Here are some key aspects of Extreme Programming:

Core Values

Communication: Encourages open communication among team members, stakeholders, and customers to ensure that everyone is on the same page.
Simplicity: Focuses on delivering the simplest solution that meets the customer's needs, avoiding unnecessary complexity.
Feedback: Regular feedback from stakeholders and continuous testing help ensure that the software meets requirements and can adapt to changes.
Courage: Encourages team members to take bold decisions, make changes, and try new approaches, even when it may be uncomfortable.
Respect: Promotes a respectful and collaborat

Google Cloud Platform APIs

https://developers.google.com/apis-explorer This is a comprehensive list of Google Cloud Platform (GCP) APIs and their descriptions. Each entry includes:

Name: The official name of the API service
Description: A brief explanation of the API's functionality and purpose

The list encompasses various categories of APIs including but not limited to:

Cloud Infrastructure Services
Machine Learning & AI

	# train_grpo.py
	import re
	import torch
	from datasets import load_dataset, Dataset
	from transformers import AutoTokenizer, AutoModelForCausalLM
	from peft import LoraConfig
	from trl import GRPOConfig, GRPOTrainer

	# Load and prep dataset