// command center

The Spread — Cattle Model

Home base for the stocker/backgrounder model: the live tools, the engine, the herd-tracking roadmap. Everything in one place.

🔒 Private dashboard · unlisted · noindex

Live tools (on the web)

Run a lot through the numbers

LIVE

The core lot calculator — price slide, cost of gain, breakeven, hedge read. One animal at a time.

fishergovernance.ai/spread/model.html

Feed Planner

LIVE

Sizes days on feed + cost of gain from weight, gain, month, pasture. Grazing/drylot, weekly schedule.

fishergovernance.ai/spread/feed-planner.html

The Spread — Simulation

LIVE

The playable sim that started it — the one Jim saw.

fishergovernance.ai/spread/the-spread.html

Walkthrough

LIVE

The guided tour of the full system and its layers.

fishergovernance.ai/spread/walkthrough.html

The engine (Python — local, not on the web)

CATTLE_MASTER / engine/

The herd brain. Runs locally or in a session — a static page can't run Python. This is the current version (grazing-aware, verified).

cattle_engine.py — L1, one-lot economics
cattle_market.py — L2, feed→cost of gain, futures, hedge (+ grazing)
cattle_herd.py — L5, herd cockpit: rolls up ALL lots
cattle_risk.py — L4, conservative/expected/optimistic scenarios
cattle_agent.py — L6, provenance tags + hedge alerts
cattle_ops.py — L7, weekly exception engine (slow-gain/sick/dead/ready)
verify_feed.py — independent auditor · 11/11 PASS
Where it lives: the CATTLE_MASTER folder, saved locally. The old drylot-only code in Downloads is superseded — use this version.

Herd tracking — the roadmap (not built yet)

Enter each animal → weigh weekly → exception report

The brain exists (cattle_ops.py). The gap is weight capture. Three paths, build in order:

1
Manual key-in — type each week's weights into a form. Start here. Zero equipment.
2
Chute scale, read + type — real scale in the squeeze chute, someone enters the number.
3
EID tags + scale reader — RFID ear tag per animal, scale auto-pairs ID+weight, export → import. (Tru-Test/Datamars, Gallagher.)
Bottleneck is the entry process, not the hardware. Build manual first, prove the report is useful to Jim, then justify EID. Putting this online (Jim logs in, enters weights) is a backend build — phase 2.

Status & deploy

ServerDigitalOcean · /var/www/html/fishergovernance/spread/
Deploy methodterminal · base64 → file
Grain pricing$/lb (was corn $/bu)
Cost-of-gain syncmodel + planner + engine agree
Sent to client (Jim)feed-planner.html link
Monte Fisher, CPA (Ret.), CFE · a Fisher Governance forensic model · private dashboard · not for distribution