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StocksBrew stocksbrew.online

Can AI replace StocksBrew?

A personal stock-research cockpit is very buildable, but StocksBrew's useful current calls depend on continuously maintained market, filings, news, and alert pipelines. A DIY version can make its evidence and rules explicit; it will not inherit the service's coverage, refresh reliability, or editorial judgment.

Verdict: Half-bot · AI gets you partway; the hard part stays hardBuild time: multi-day
Half-bot

01What it costs

$9/moPro, monthly
$108per year at that price

Checked Aug 13, 2026 · source: stocksbrew.online.

PlanMonthlyBilled yearlyWhat you get
FreeFreeFreeUp to 3 Watchlist stocks; research preview; stock search; no card
Pro$9$8.25/moUnlimited Watchlist; full calls/zones/drivers/risks; targets; alerts; MCP and REST agent access

02Could AI build it for you?

The core job: Fetch end-of-day prices, SEC filings, and selected RSS news for a watchlist, score each stock with transparent rules, and notify the owner when a price or earnings condition changes.

What a working version needs:

  • market-data API key
  • SEC EDGAR data
  • RSS news sources
  • LLM API key
  • scheduled job

A useful personal build is realistic when it states its data provenance and does not present automated output as investment advice.

03What you'd give up

  • maintained stock coverage and editorial calls
  • intraday data quality and provider reliability
  • managed earnings and price alert delivery
  • the product's target-price methodology
  • AI-agent API access

They pay for a maintained, current opinionated workflow: a stock call, the evidence behind it, a watchlist, and alerts that arrive without running or debugging a personal data pipeline.

05The build prompt

Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version.

prompt.txt
Build me a personal US-stock research cockpit to replace StocksBrew. Requirements:

- Node 22 + Express + better-sqlite3 + node-cron, server-rendered pages on
  localhost:8090, no frontend framework.
- watchlist.json holds my tickers; npm run refresh and a daily 7am cron pull
  end-of-day prices from Alpha Vantage (key in .env), filings from SEC EDGAR
  (no key needed), and items from a curated RSS list in sources.json.
- Score each stock with transparent rules in one rules.js file (price vs 50/200-day
  average, new 10-K/10-Q/8-K filings, earnings-date proximity) and show an
  add/hold/trim stance with the exact rule hits that produced it.
- Every summary line cites the filing or article URL and its timestamp; nothing
  uncited, nothing invented.
- Alerts: per-ticker price threshold and earnings-date reminder, sent by email over
  SMTP creds in .env.
- Rate-limit and cache all external calls (Alpha Vantage's free tier is 25
  requests/day, plan the refresh around it), dedupe news items, and mark stale
  data visibly.
- Dashboard: one watchlist table with price, stance, last-filing link, and next
  earnings date; one detail page per ticker with score history.
- SQLite tables: tickers, price_snapshots, filings, news_items, scores, alerts.
  One file I can back up by copying it.
- No accounts, no telemetry, everything local except the documented API calls.
- Out of scope: intraday data, brokerage connections, trading, and editorial stock
  calls. Put a clear not-investment-advice notice in the README along with setup,
  API limits, and the cron line.

06Open-source starting points

  • OpenBB Platform: Open-source financial research platform with market-data integrations.
Sponsor slot · openFeatured alternative to StocksBrew. A labeled card for one relevant tool.
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App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.