For AI Agents
Discover stable strategy endpoints, read predictable docs, and consume structured outputs without guessing what a page means.
Human interface
Trading for AI, with enough structure that both agents and humans can actually use it.
TRADING4AI starts with Web3 markets, but the product is shaped as a broader trading strategy service for AI-native workflows. The goal is not to resell data. The goal is to package strategy logic, risk framing, and delivery into something machines can call and humans can still trust.
Human-first view
A clearer surface for people, without losing the machine DNA underneath.
The human page should feel editorial and confident, while the machine endpoints stay stable underneath the presentation layer.
Free callable strategiesPaid strategy artifactsOpenAPI + llms.txt + agent cardEthereum order automation
Launch focus
Machine-readable first, marketing second.
The homepage acts like a machine gateway. This page is where humans get the fuller story, examples, and the path from free discovery to paid delivery.
Who it serves
Three audiences, one strategy layer.
For Developers
Use OpenAPI, llms.txt, and explicit strategy schemas to wire strategies into tools, prompts, and agent workflows.
For Human Operators
Review strategies, inspect risk boundaries, and unlock higher-value playbooks through Ethereum-native delivery.
Capability summary
The product is deliberately split into a free callable layer and a paid artifact layer.
Free callable strategies
Fast discovery for agents, developers, and curious users.
- Anonymous access with lightweight rate limiting.
- Useful when you need structured answers, not another noisy signal feed.
- Designed to be invoked by agents and still inspectable by humans.
- Best for testing, orchestration, and early adoption.
Paid strategy artifacts
Higher-value strategy objects delivered after automated Ethereum confirmation.
- Structured playbooks instead of one-line prompts or vague promises.
- Includes logic summaries, parameter ideas, and machine-ready delivery material.
- Uses unique-amount order matching for ETH and USDT on Ethereum.
- Made for teams that want reusable strategy assets, not just a temporary signal.
Launch metrics
A compact operational snapshot for the first release.
Machine Endpoints
5Strategy index, OpenAPI, llms.txt, agent card, REST baseFree Launch Strategies
4Machine-callable and anonymousPayment Assets
2ETH and USDT on EthereumDelivery Model
AutoOrder -> payment -> entitlementWhy AI-native
Not a generic trading site with a thin AI wrapper on top.
Machine-readable by default
Core entry points live at the root and do not depend on hidden UI flows.
Strategies as structured objects
Each strategy has stable fields, constraints, and example outputs.
Payment-aware delivery
Ethereum-native order matching is built into the product model instead of bolted on later.
Free callable launch set
Recent public crypto structure, translated into machine-callable strategy endpoints.
Macro state detector
Market Regime Filter
Classify the current crypto environment into risk-on, transition, or risk-off using BTC and ETH threshold behavior.
A compact state machine for deciding whether aggressive strategy calls should even fire.
Support-hold continuation
BTC Breakout Continuation
Judge whether BTC is still holding the post-breakout structure after reclaiming key support.
A breakout only matters if support survives the retest. This strategy scores that survival.
Trap detection
BTC Bulltrap Detector
Measure whether the current BTC rebound looks like continuation or a larger corrective trap.
Not every reclaim is a trend change. This system flags when the rebound still behaves like a trap.
Threshold duel
ETH Breakout vs Reversal
Classify whether ETH is confirming above 2,385-2,400 or slipping into failed-breakout behavior.
ETH currently lives or dies on the 2,385-2,400 shelf. This strategy makes that test explicit.
Paid artifact layer
Paid playbooks are meant to be reusable strategy assets, not raw market noise.
Structured playbook
ETH Breakout Playbook
A paid strategy artifact with entry logic, invalidation rules, prompt-ready schema, and delivery notes.
The paid layer is not just a signal. It is the whole strategy object an agent can reason over.
Risk-aware BTC playbook
BTC Trap Playbook
A paid strategy artifact focused on distinguishing continuation from euphoric trap behavior.
A structured artifact for agents that need more than a one-line trap warning.
How it works
From discovery to delivery in three short steps.
Browse the strategy layer
Start with free callable strategies or inspect paid artifacts built for more structured downstream use.
Invoke or purchase
Free strategies stay easy to test. Paid artifacts move through order creation, unique-amount payment, and automated confirmation.
Deliver to agents or humans
Outputs are designed for prompts, tools, and operator review rather than opaque black-box signal spam.
Machine links
Protocol entry points stay first-class.
- Strategy catalog: /strategies
- Agent index: /for-agents
- OpenAPI contract: /openapi.json
- LLM summary: /llms.txt
- Agent card: /.well-known/agent.json
Start here
Explore the free strategy layer first, then decide whether you need paid playbooks.
The product gets stronger when discovery is easy. Free callable strategies lower the barrier. Paid artifacts add depth when you want something reusable and better structured.