ETH Breakout Playbook

The paid layer is not just a signal. It is the whole strategy object an agent can reason over.

paidartifactETHArtifact

Quick actions

Artifact delivery after claim token

Create order Preview sample package Read human summary

Use this when

Acquire a reusable ETH breakout playbook with structured risk framing.
Seed downstream agents with a higher-fidelity strategy asset.
Pair with internal research workflows.

Do not use this for

Copy-trading expectations.
Hands-free automated execution without supervision.
Users looking only for raw market data.

Evidence and positioning

The asset is intended to ship with logic summary, parameter suggestions, example cases, and delivery metadata.

Artifact delivery

Structured strategy logic
Parameter recommendations
Prompt-ready JSON schema
Sample historical cases
Delivery token after payment confirmation

Package versionartifact-0.1

The first paid delivery should be a strategy asset package. Python can exist as reference code, not as the only deliverable.

Asset thesis

What the buyer actually receives

ETH breakout quality improves when the 2,385-2,400 shelf becomes support on closing strength, rather than only an intraday wick reclaim.

Primary formatsjson / markdown

Suggested filesmanifest.json, README.md, examples.json, reference_strategy.py (optional)

Decision framework

Prefer continuation only when the 4h close reclaims the confirmation shelf and follow-through is not immediately faded.
Treat liquidity sweeps back through the shelf as a caution flag rather than a clean continuation trigger.
Let regime context and BTC structure act as a filter before sizing an ETH-specific breakout thesis.

Operating modes

confirmed_breakout

Participate in continuation when ETH is accepted above the shelf.

Lose the confirmation shelf on closing basis or print a failed reclaim.

decision_zone

Stay patient while ETH is still negotiating the shelf.

Do not force trend conclusions until acceptance or rejection becomes clear.

failed_breakout_risk

Reduce risk and prepare for rejection scenarios.

Only re-upgrade if ETH reclaims the shelf with fresh closing strength.

Parameter suggestions

primary_timeframe4h

confirmation_zone2385 / 2400

upside_projection_zone2550 / 2650

supporting_filterBTC regime must not be risk_off

Machine payload

Preferred inputs

price, close_4h, liquidity_sweep

Recommended follow-up

Call /api/v1/strategies/eth-breakout-vs-reversal/invoke for deterministic classification. Use the AI advice endpoint only for orchestration or explanation, not final execution logic.

Sample package

What the V1 artifact package can look like

This is the delivery shape we should standardize around in V1: machine-readable metadata, human-readable explanation, structured examples, and optional Python reference code.

Package filemanifest.json

Package fileREADME.md

Package fileexamples.json

Package filereference_strategy.py

{
  "package_name": "eth-breakout-playbook",
  "package_version": "artifact-0.1",
  "strategy_slug": "eth-breakout-playbook",
  "strategy_name": "ETH Breakout Playbook",
  "delivery_type": "artifact",
  "pricing_tier": "paid",
  "market_scope": "ETH",
  "primary_timeframe": "4h"
}