StocksBrew
Current US-stock calls, targets, watchlists, and price or earnings alerts
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.
Build verification: not recorded. How we judge buildability
What you 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
Why people still pay
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.
Your build guide
The stack, security requirements, and agent rules for a focused replacement.
Before you start
- A supported Node release, a writable local data directory and a separate backup location. Bind to localhost; remote use requires authentication and HTTPS first.
- Implementation components: Node.js, TypeScript and Express with server-rendered HTML and small browser modules. SQLite through better-sqlite3 with migrations, prepared statements and a single background worker.
- Scope boundary: Real-time exchange feeds, suitability advice and guaranteed data coverage are outside scope.
Use these project rules and optional skill references alongside the prompt. Review each skill before adding it to your agent; the AGENTS.md export includes the same guidance.
Optional external skill: web-design-guidelines — Review web interfaces for accessibility, keyboard focus, forms, navigation and interaction quality. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Optional external skill: sharp-edges — Review security-sensitive APIs and configuration for dangerous defaults and easy-to-misuse interfaces. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Project rule — data model: watchlist symbols, source-dated prices, SEC filing references, alert rules and delivery checkpoints
Project rule — preserve this invariant: Stale or missing prices cannot trigger a confident current-price alert; ticker changes and splits require explicit treatment and no return prediction is invented.
Project rule — acceptance evidence: A data outage labels the last price stale and suppresses new threshold alerts; replaying a filing does not send another notification.
Implementation plan
Phase 1
Scope and fixtures. Implement this bounded workflow: Fetch permitted end-of-day market data and SEC filings for a small watchlist, show the source/time and evaluate user-defined threshold alerts. Keep transparent observations separate from investment recommendations. Record prerequisites, select representative user-owned fixtures and document the unsupported features: Real-time exchange feeds, suitability advice and guaranteed data coverage are outside scope.
Phase 2
Durable model. Model watchlist symbols, source-dated prices, SEC filing references, alert rules and delivery checkpoints Add migrations or a versioned document format, explicit validation, stable IDs and a visible import-error report. Preserve this rule: Stale or missing prices cannot trigger a confident current-price alert; ticker changes and splits require explicit treatment and no return prediction is invented.
Phase 3
Complete the first useful path. Implement the workflow's input, review and output interface, with clear controls and explicit empty/error states. Use short SQLite transactions and persist job state before starting work. Give retries stable operation IDs; report incomplete or unknown results instead of silently repeating them.
Phase 4
Permissions and integration failure. Reject unexpected origins and unbounded request bodies even on localhost. Keep credentials outside the database export and redact sensitive text from logs. Request integration credentials and permissions only for the enabled feature; show a disconnected state instead of mock results.
Phase 5
Portable handoff. Use a consistent SQLite backup and an attachment manifest. Export portable JSON/CSV, then restore to a new directory without overwriting the original data. Include setup, operating limits, fixture walkthrough and shutdown/restart instructions in the README.
Phase 6
Acceptance scenarios. A data outage labels the last price stale and suppresses new threshold alerts; replaying a filing does not send another notification. Repeat the workflow after restart and with a denied permission or unavailable dependency; show recoverable failure rather than a success placeholder.
WORKING SLICE Fetch permitted end-of-day market data and SEC filings for a small watchlist, show the source/time and evaluate user-defined threshold alerts. Keep transparent observations separate from investment recommendations. Build this scoped StocksBrew-inspired workflow with a documented data model and visible failure states. Architecture - Node.js, TypeScript and Express with server-rendered HTML and small browser modules. - SQLite through better-sqlite3 with migrations, prepared statements and a single background worker. Prerequisites and limits A supported Node release, a writable local data directory and a separate backup location. Bind to localhost; remote use requires authentication and HTTPS first. Outside this release: Real-time exchange feeds, suitability advice and guaranteed data coverage are outside scope. Data model and correctness watchlist symbols, source-dated prices, SEC filing references, alert rules and delivery checkpoints Invariant: Stale or missing prices cannot trigger a confident current-price alert; ticker changes and splits require explicit treatment and no return prediction is invented. Use short SQLite transactions and persist job state before starting work. Give retries stable operation IDs; report incomplete or unknown results instead of silently repeating them. Security and privacy Reject unexpected origins and unbounded request bodies even on localhost. Keep credentials outside the database export and redact sensitive text from logs. Recovery and export Use a consistent SQLite backup and an attachment manifest. Export portable JSON/CSV, then restore to a new directory without overwriting the original data. Implementation order 1. Phase 1 — Scope and fixtures. Implement this bounded workflow: Fetch permitted end-of-day market data and SEC filings for a small watchlist, show the source/time and evaluate user-defined threshold alerts. Keep transparent observations separate from investment recommendations. Record prerequisites, select representative user-owned fixtures and document the unsupported features: Real-time exchange feeds, suitability advice and guaranteed data coverage are outside scope. 2. Phase 2 — Durable model. Model watchlist symbols, source-dated prices, SEC filing references, alert rules and delivery checkpoints Add migrations or a versioned document format, explicit validation, stable IDs and a visible import-error report. Preserve this rule: Stale or missing prices cannot trigger a confident current-price alert; ticker changes and splits require explicit treatment and no return prediction is invented. 3. Phase 3 — Complete the first useful path. Implement the workflow's input, review and output interface, with clear controls and explicit empty/error states. Use short SQLite transactions and persist job state before starting work. Give retries stable operation IDs; report incomplete or unknown results instead of silently repeating them. 4. Phase 4 — Permissions and integration failure. Reject unexpected origins and unbounded request bodies even on localhost. Keep credentials outside the database export and redact sensitive text from logs. Request integration credentials and permissions only for the enabled feature; show a disconnected state instead of mock results. 5. Phase 5 — Portable handoff. Use a consistent SQLite backup and an attachment manifest. Export portable JSON/CSV, then restore to a new directory without overwriting the original data. Include setup, operating limits, fixture walkthrough and shutdown/restart instructions in the README. 6. Phase 6 — Acceptance scenarios. A data outage labels the last price stale and suppresses new threshold alerts; replaying a filing does not send another notification. Repeat the workflow after restart and with a denied permission or unavailable dependency; show recoverable failure rather than a success placeholder. Acceptance A data outage labels the last price stale and suppresses new threshold alerts; replaying a filing does not send another notification. Use real source data or clearly labeled fixtures. Explain unsupported input and provider failures; do not fabricate analytics, delivery receipts, accuracy claims or security guarantees. Optional agent guidance Optional external skill: [web-design-guidelines](https://github.com/vercel-labs/agent-skills/blob/main/skills/web-design-guidelines/SKILL.md) — Review web interfaces for accessibility, keyboard focus, forms, navigation and interaction quality. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission. Optional external skill: [sharp-edges](https://github.com/trailofbits/skills/blob/main/plugins/sharp-edges/skills/sharp-edges/SKILL.md) — Review security-sensitive APIs and configuration for dangerous defaults and easy-to-misuse interfaces. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission. Project rule — data model: watchlist symbols, source-dated prices, SEC filing references, alert rules and delivery checkpoints Project rule — preserve this invariant: Stale or missing prices cannot trigger a confident current-price alert; ticker changes and splits require explicit treatment and no return prediction is invented. Project rule — acceptance evidence: A data outage labels the last price stale and suppresses new threshold alerts; replaying a filing does not send another notification.
$ open in your agent (prompt prefilled, you press enter), copy the prompt or copy or download AGENTS.md
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StocksBrew pricing
| plan | monthly | annual (per mo) | what you get |
|---|---|---|---|
| free | $0 | $0 | Up to 3 Watchlist stocks; research preview; stock search; no card |
| pro | $9 | $8.25 | Unlimited Watchlist; full calls/zones/drivers/risks; targets; alerts; MCP and REST agent access3-day trial on monthly and yearly; yearly is $99/year; 7-day refund stated at checkout. |
free tierUp to 3 Watchlist stocks; stock search and research preview; no card
billingmonthly + annual ($99/year, save 8%); 3-day trial
pricing sources checked 2026-08-13 · pricing source ↗
Questions about StocksBrew
Can you build your own StocksBrew with AI?
Partly. 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.
What does the StocksBrew build prompt cover?
The prompt starts with this scope: Fetch permitted end-of-day market data and SEC filings for a small watchlist, show the source/time and evaluate user-defined threshold alerts. Keep transparent observations separate from investment recommendations. Full-product capabilities excluded from the comparison include: maintained stock coverage and editorial calls; intraday data quality and provider reliability; managed earnings and price alert delivery. Follow the implementation plan and its prerequisites before expanding the build.
How do I use the prompt, AGENTS.md and agent skills?
Start with the StocksBrew prerequisites and stack, then copy the prompt into your coding agent. Save the project rules as AGENTS.md in the project root. Linked skills are optional packages or source instructions for specific tasks; review their current contents and install only those matching the chosen stack. A skill does not supply API credentials or verify the finished app.
How long will this StocksBrew project take?
The catalogue estimate is multi-day for the limited scope. Setup, integration approvals, debugging, deployment and ongoing maintenance can add time. This is an estimate, not a delivery guarantee.
What would I give up by replacing StocksBrew?
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.
What price is this guide comparing against?
The recorded Pro plan is $9/mo (monthly), checked 2026-08-02. Check the linked pricing source before buying. Building your own also has hosting, API and maintenance costs; the recorded amount is not a guaranteed saving.
What can I use instead of building StocksBrew?
The prior-art section lists OpenBB Platform as starting points. Review their current scope, license and maintenance before adopting one.