Can TradingWizard be vibe coded?
Market-analysis bots that explain setups and test them with fake money
A personal version is a fair focused build: watch a short list, calculate indicators, explain a setup, and journal simulated trades. Replacing the full service is different. Broad market coverage, current prices, filings and news, continuous bot jobs, stale-data guards, alerts, synced history, and a maintained proof trail are ongoing data and operations work.
Jump to the build brief ↓Legacy-calibrated assessment
Checked Aug 2026
What you pay today, before any DIY hosting
high editorial confidence
Tracked separately from the pricing check
Buildability by layer
Screens, forms, and focused interactions
The repeatable job the product performs
Availability and legality of required data
Uptime, queues, support, and maintenance
Security, compliance, and user confidence
The achievable core
- Monitor a small watchlist, score transparent setups from current candles, explain the levels, and journal paper trades without connecting a broker.
- Import transactions, categorize spending, and forecast cash flow privately.
- A responsive interface with real empty, loading, success, and error states.
The parts a prompt cannot buy
- maintained coverage across thousands of markets and data providers
- always-on bot scans, stale-data guards, and reliable alert delivery
- filings, news, sentiment, research, and broker-context integrations
- synced history, mobile access, chat controls, and account security
- Connectors, OAuth flows, and vendor API changes require constant upkeep.
- Reliability at the vendor's scale is an operations problem, not a prompt.
Build, switch, or keep paying
Narrower, with trade-offs
Monitor a small watchlist, score transparent setups from current candles, explain the levels, and journal paper trades without connecting a broker.
Use the build brief ↓2 checked options
- OpenBB ↗Open-source research terminal with real market-data integrations; analysis without the AI narrator or the paper-trade journal.
- Freqtrade ↗Crypto-only bot with backtesting and dry-run paper trading; strategies are Python files, not chat.
$39/mo
You can vibe-code one useful personal bot. People pay to avoid maintaining the data feeds, background scans, stale-data checks, alerts, history, and evidence trail across many markets every day.
Visit TradingWizard ↗Why people still pay
You can vibe-code one useful personal bot. People pay to avoid maintaining the data feeds, background scans, stale-data checks, alerts, history, and evidence trail across many markets every day.
Connectors, OAuth flows, and vendor API changes require constant upkeep.
Reliability at the vendor's scale is an operations problem, not a prompt.
The last 20 percent is sync, migration fidelity, speed, and edge cases.
The brief
Context, requirements, acceptance criteria, non-goals, and the full production standard — as Markdown, ready for any coding agent.
Build brief — a focused alternative to TradingWizard
Context
TradingWizard — Market-analysis bots that explain setups and test them with fake money. It currently costs $39/mo.
A personal version is a fair focused build: watch a short list, calculate indicators, explain a setup, and journal simulated trades. Replacing the full service is different. Broad market coverage, current prices, filings and news, continuous bot jobs, stale-data guards, alerts, synced history, and a maintained proof trail are ongoing data and operations work.
This brief describes a focused, single-operator replacement for the part of TradingWizard that is genuinely reproducible. It is deliberately narrower than the product it replaces, and it says so in writing. Build the useful core; do not pretend to have rebuilt the rest.
What you are building
Monitor a small watchlist, score transparent setups from current candles, explain the levels, and journal paper trades without connecting a broker.
Import transactions, categorize spending, and forecast cash flow privately.
A responsive interface with real empty, loading, success, and error states.
Requirements
Functional
Node 22.
Local SQLite database.
Scheduled background process.
Data and integrations
Twelve Data API key.
OpenAI-compatible API key.
Each of these needs a real account, credential, or quota. Set them up before writing feature code.
Non-functional
Accessibility: semantic markup, labelled controls, visible focus, and reduced-motion support.
Security: server-side secrets, validated input, and no credentials in the client bundle.
Reliability: retries with backoff on external calls, and a clear failure state when a provider is down.
Portability: the operator can export their data and leave without losing it.
Implementation brief
Build me a local personal market-analysis bot inspired by TradingWizard. Requirements:
Node 22, TypeScript, Next.js App Router, better-sqlite3, technicalindicators,
and node-cron. Bind to localhost only.
watchlist.json holds up to 10 stock or crypto symbols plus a 15m, 1h, or 1d
timeframe. Fetch candles from Twelve Data with the key in .env.local.
Cache responses, respect provider limits, and show source plus last-updated time.
Stale or missing candles must block a new setup.
Calculate EMA 20/50, RSI 14, ATR 14, recent support and resistance, and volume
change. Keep every setup rule in one documented rules.ts file.
For each symbol return WAIT, LONG SETUP, or SHORT SETUP with entry zone, stop,
target, invalidation, confidence, and the exact rule hits behind the result.
Use an OpenAI-compatible API only to turn the calculated facts into two plain
sentences. The model cannot change levels or invent facts. Work without it too.
Add a paper journal. Confirm each simulated entry manually, size by a fixed risk
percentage, and update open trades from fresh candles. Never connect a broker.
Dashboard: watchlist state, latest setup, stale-data warning, open paper trades,
closed results, and a per-symbol timeline. No profit promises.
SQLite tables: candles, analyses, paper_trades, and scan_runs. Keep immutable scan
facts so every result can be explained later.
Add npm run scan and a configurable cron. One failed symbol must not stop the rest.
No accounts, cloud sync, telemetry, payments, live orders, or investment advice.
Do not scrape consumer websites.
Include seeded fixtures and tests for stale-data blocking, rule calculations, risk
sizing, manual confirmation, and duplicate-scan idempotency.
README with setup, API limits, backup/restore, cron examples, and the exact limits
of a personal build compared with a maintained multi-market service.
Delivery standard
Inspect the repository first, then write a short implementation plan before writing code.
Deliver the smallest complete end-to-end workflow first; every primary control must work against persisted data.
Use real validation and storage; never substitute fake dashboards, decorative controls, hard-coded success states, or mock integrations.
Include responsive layouts plus genuine empty, loading, success, validation, and failure states.
Keep secrets server-side in environment variables, provide .env.example, and never commit credentials or user data.
Add structured logs around every external call and return actionable errors without leaking sensitive details.
Write unit tests for the core logic and one automated test of the main user journey.
Finish with a README covering setup, architecture, data location, backups, tests, deployment, and known limitations.
Acceptance criteria
A clean install starts the app using only the README and .env.example.
The primary journey works from first visit through saved result, reload, edit, export, and deletion where applicable.
Invalid input, missing configuration, provider failure, and an empty database each have a usable state.
The interface works at 390px and 1440px, is keyboard navigable, and shows visible focus on every control.
Tests, type checking, linting, and a production build all pass with no ignored failures.
No part of the interface implies a live integration, security guarantee, or scale capability that was not actually built and verified.
Non-goals
Do not build these, and do not claim to have replaced them:
Maintained coverage across thousands of markets and data providers.
Always-on bot scans, stale-data guards, and reliable alert delivery.
Filings, news, sentiment, research, and broker-context integrations.
Synced history, mobile access, chat controls, and account security.
The maintained bot proof trail and production operations.
What you still own after launch
Secure credentials, rotate secrets, and handle provider rate limits.
Run migrations, backups, restores, and dependency updates.
Test the critical journey after every model, API, or hosting change.
Monitor failures and fix the edge cases a first prompt will miss.
Maintain every third-party integration as APIs and OAuth rules change.
Risk
High consequence. Use this as a prototype or personal aid. Keep a qualified human and an established provider in the loop for consequential decisions.
Editorial confidence in this assessment: high. No reviewed project implementation is linked yet.
Existing alternatives
Before building, compare these checked options:
OpenBB — Open-source research terminal with real market-data integrations; analysis without the AI narrator or the paper-trade journal
Freqtrade — Crypto-only bot with backtesting and dry-run paper trading; strategies are Python files, not chat
Prior art
Working open-source software you can read, fork, or borrow from before starting:
OpenBB Platform — Open-source financial research platform with market-data integrations
Freqtrade — Open-source crypto trading bot with backtesting and dry-run modes
Generated by Can It Be Vibe Coded? · Full report: https://www.canitbevibecoded.com/tradingwizard
You still own the product
- Secure credentials, rotate secrets, and handle provider rate limits.
- Run migrations, backups, restores, and dependency updates.
- Test the critical journey after every model, API, or hosting change.
- Monitor failures and fix the edge cases a first prompt will miss.
- Maintain every third-party integration as APIs and OAuth rules change.
Projects built from this idea
No reviewed implementation has been linked for TradingWizard yet. A submission is evidence for review, not automatic proof that the whole product was replaced.
Built a version of TradingWizard?Submit the project as evidence for this report.
Open-source prior art
Before you start
Can TradingWizard be vibe coded?
Partly, if you narrow it. A personal version is a fair focused build: watch a short list, calculate indicators, explain a setup, and journal simulated trades. Replacing the full service is different. Broad market coverage, current prices, filings and news, continuous bot jobs, stale-data guards, alerts, synced history, and a maintained proof trail are ongoing data and operations work.
What can an AI coding agent reproduce from TradingWizard?
Monitor a small watchlist, score transparent setups from current candles, explain the levels, and journal paper trades without connecting a broker. Import transactions, categorize spending, and forecast cash flow privately. A responsive interface with real empty, loading, success, and error states.
What will a DIY TradingWizard replacement still be missing?
maintained coverage across thousands of markets and data providers; always-on bot scans, stale-data guards, and reliable alert delivery; filings, news, sentiment, research, and broker-context integrations; synced history, mobile access, chat controls, and account security; Connectors, OAuth flows, and vendor API changes require constant upkeep.; Reliability at the vendor's scale is an operations problem, not a prompt.
What do I still own after building a TradingWizard alternative?
Secure credentials, rotate secrets, and handle provider rate limits. Run migrations, backups, restores, and dependency updates. Test the critical journey after every model, API, or hosting change. Monitor failures and fix the edge cases a first prompt will miss. Maintain every third-party integration as APIs and OAuth rules change.