The Receipts.
Three systems built inside the Tesseract ecosystem. What they solve, how they were built, and what they proved.
7 years of market analysis, 300+ investor calls, and one recurring problem — I could see setups clearly but couldn't systematically articulate what made them high-conviction versus noise. Everything lived in my head.
A 6-factor weighted scoring model. Daily Pattern (30%), Volume (25%), Timeframe Alignment (20%), Technical Confluence (15%), Market Timing (10%), and Risk Context as a qualitative override. Each factor scored 0-100. Spread between bull and bear scores determines conviction tier.
“The value of a framework is not the output — it's the structured diagnostic. When a trade fails, InDecision tells you exactly which factor was wrong. That's the compound learning loop that pure intuition can never produce.”
Every pipeline I built was orphaned after it ran. Claude Code sessions start and end. Cron jobs fire into the void. No persistent context, no ongoing intelligence, no way to orchestrate between systems. I needed a nervous system, not more tools.
Soul — a persistent AI agent running 24/7 on a Mac Mini. Not a chatbot. An orchestration layer. Soul manages Discord and Telegram sessions, spawns Claude Code for build tasks, routes between 40+ cron pipelines, and maintains long-term memory across sessions. The September attempt broke because I was treating agent sessions like API calls. Soul treats them like a consciousness.
“The persistent agent is not a feature. It's the foundation. Everything else in the stack depends on Soul's ability to maintain context, route decisions, and remember what happened. Build the nervous system first.”
I had a trading framework with 82.5% accuracy, but I was still executing manually — analyzing setups, placing bets, closing positions by hand. The bottleneck was me. At scale, the advantage disappears if execution speed doesn't match signal speed.
PolyEdge v4 — fully autonomous prediction market trader. Scans Polymarket binary options, runs each setup through InDecision, executes on high-conviction signals (HC ≥15 spread), manages position sizing, and triggers Post Mortem AI on every close. Direct InDecision Engine integration with no human in the loop.
“Automation without a framework is just fast mistakes. The bot is only as good as InDecision. The model came first. The automation made it scale.”