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AI Tools is the $49/mo add-on that brings StratAlerts market data directly into your AI workflows. Every five minutes, StratAlerts compiles a structured snapshot of every tracked symbol — complete with TFC state, candle data across nine timeframes, and full setup fields — and makes it available as a downloadable NDJSON bundle. You feed that bundle into your LLM of choice, and your model can answer detailed questions about current market conditions using real, live data instead of hallucinating on stale training knowledge.
LLMs have a training knowledge cutoff. Without a live data feed, models cannot accurately describe what the market is doing right now. AI Tools solves this by giving your model a structured, up-to-date snapshot refreshed every 5 minutes.

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How it works

1

Subscribe and get your access URL

Subscribe to AI Tools at $49/mo from your StratAlerts account. After subscribing, your account settings show a personalized bundle URL and API key. The bundle updates automatically every 5 minutes — no polling configuration required on your end.
2

Fetch the bundle and load it into your LLM

Make an HTTP GET request to your bundle URL with your API key in the header. The response is an NDJSON file — one JSON object per line, one line per symbol. Paste the bundle content into your LLM’s context window or attach it as a file, then add your starter prompt.
3

Query the market in plain English

Ask your LLM questions about current market structure. The model can reason over TFC state, candle scenarios, in-force flags, setup targets, and more — across every symbol in the bundle.

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Compatible models

AI Tools bundles are plain structured JSON, so they work with any model that accepts file or text context.

OpenAI GPT

GPT-4o and later models accept large context windows. Paste the bundle directly or use the Assistants API with file attachments.

Anthropic Claude

Claude’s extended context window handles full bundles easily. Use the API or paste directly into Claude.ai.

Google Gemini

Gemini 1.5 and later support large context inputs. Pass the bundle via the API or Gemini Advanced.

OpenAI Codex

Use Codex for programmatic workflows — generate scanning scripts, filters, or automated reports from live bundle data.

Llama 3

Self-hosted Llama 3 deployments work with the same bundle format. Ideal for private, on-premise AI workflows.

Any LLM

The NDJSON format is model-agnostic. If your model accepts text or file input, the bundle works.

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What you can do with it

Ask the model to summarize current TFC alignment across sectors, identify which symbols have the most timeframe continuity, or flag setups where multiple timeframes are aligned in the same direction.
Describe the setup pattern you’re looking for in plain English. The model searches the bundle for matching symbols rather than you having to manually filter a table.Example prompts:
  • “Which stocks are 2U on the daily with a green weekly TFC?”
  • “Show me names that are in-force on the 60-minute timeframe.”
  • “Find symbols where the daily and weekly are both 2U.”
Use Codex or the OpenAI API to write scripts that fetch the bundle, filter for specific conditions, and generate a formatted market brief — automatically, on a schedule.
Save snapshots at regular intervals to build a historical record of setup states. Use that history to study how certain TFC configurations or in-force conditions played out over time.

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Pricing

$49 / month

Includes access to the live bundle feed and 2 GB of data per month. Most workflows stay well within the included data cap.

$5 / GB overage

If your workflow fetches the bundle frequently or processes large volumes of data, additional usage is billed at $5 per GB beyond the included 2 GB.
Fetching the bundle once per refresh cycle (every 5 minutes) for a typical session uses a fraction of the 2 GB monthly cap. Overage charges apply mainly to high-frequency automated pipelines that fetch far more often than the bundle actually updates.

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Next steps

Installation Guide

Follow these instructions to begin using AI Tools. If you need help installing, please reach out to us.

Bundle reference

Detailed field-by-field reference for the bundle format, including a sample JSON snippet and fetch examples.

AI Search

Use the natural language search built into the StratAlerts setups table — no LLM setup required.