Vibecode TradingView
track this build5 steps, step by step0%NOT REALLY · don't bother
price $14.95/moyou'd save $179.4/yrbuild time a weekendcategory 🧾 finance & accountingreplaced by 0 people
The chart widget itself is not the product, and TradingView proved that by open sourcing a perfectly good one: lightweight-charts is MIT licensed and you can have candles on screen in an afternoon. What you cannot build is the data pipe behind it. Real-time consolidated equity, futures and options feeds are licensed per exchange, per user, with entitlement checks and redistribution rules, and the free endpoints you will end up scraping are delayed, rate limited and quietly break. On top of that sits Pine Script and roughly a decade of community published indicators and strategies, plus screeners over every listed symbol, alerts that fire while your laptop is shut, and broker order routing. A local build gives you crypto in real time and equities on a delay, which is either fine or completely useless depending on your time horizon.
the project pack4 files · fastest path to a working personal build
You are building a lean indie version of TradingView. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== README.md ===== # TradingView indie build ## Goal Build the smallest trustworthy replacement for the core TradingView workflow for one developer or a tiny team. ## Scope A local charting app that pulls daily and intraday candles from free public endpoints, caches them in SQLite, renders them with lightweight-charts, and polls a handful of price alerts you define yourself. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - Licensed real-time exchange data for equities, futures and options; free sources are delayed and fragile - Pine Script and the enormous library of published indicators and strategies other people already wrote - Server side alerts that fire when your device is off, plus push and email delivery - Screeners and scanners over every listed symbol, and multi-market symbol coverage in general - Polished mobile and desktop apps with drawings and watchlists synced across all of them - Broker connections and one click order entry from the chart If those capabilities are essential, use TradingView instead of pretending the gap is solved. ===== AGENTS.md ===== # Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs". ===== BUILD_PLAN.md ===== # Build plan ## Original build brief Build a local-first market charting app called "deskchart". Single user, runs on my machine, no accounts, no telemetry, no cloud. Stack, not negotiable: - Vite + React + TypeScript for the UI - lightweight-charts (MIT, from TradingView) for rendering candles and overlays - A small Express + TypeScript server in the same repo as a data proxy and cache - SQLite via better-sqlite3 for candle cache, watchlists and alerts - pnpm workspaces, one command to run both: pnpm dev Data: - Crypto: Binance public REST klines endpoint, no key needed, treat this as the real-time path - Equities and ETFs: Stooq daily CSV as the default source, with an optional adapter interface so another provider can be dropped in via .env - Cache every fetched candle range in SQLite and only request the missing tail on reload - Put any API keys in .env, read via a single config module, ship .env.example. Never hardcode secrets - Print a visible "DELAYED" badge on any symbol whose source is not real time. Do not pretend otherwise Features in scope: - Symbol search over a locally seeded symbol list, watchlists stored in SQLite - Candlestick chart with timeframe switcher: 1m, 5m, 1h, 1d, 1w - Indicator overlays computed client side: SMA, EMA, VWAP, RSI and MACD in a lower pane - Persisted horizontal price lines and trendlines per symbol, saved to SQLite - Simple alerts: price crosses above or below a level. Server polls every 60s and fires a desktop notification via node-notifier plus a row in an alerts log - Dark theme, keyboard shortcuts for timeframe and symbol switching Explicitly out of scope, do not attempt: - Any scripting language or Pine Script compatibility - Broker connections or order entry - Social feed, published ideas, comments - Multi-user auth, hosted deployment, mobile apps - Scraping any paid or authenticated data feed Deliverables: working repo, README with setup and a blunt "data limitations" section, seed script for symbols, and vitest coverage on the indicator math and the cache-gap logic. ## Required capabilities - Node 20 plus - A machine left running if you want alerts to fire - Tolerance for delayed or rate limited free equity data - Binance or similar public API for anything that needs to be genuinely real time ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden. ===== .env.example ===== # Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
You are building a lean indie version of TradingView. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== README.md ===== # TradingView indie build ## Goal Build the smallest trustworthy replacement for the core TradingView workflow for one developer or a tiny team. ## Scope A local charting app that pulls daily and intraday candles from free public endpoints, caches them in SQLite, renders them with lightweight-charts, and polls a handful of price alerts you define yourself. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - Licensed real-time exchange data for equities, futures and options; free sources are delayed and fragile - Pine Script and the enormous library of published indicators and strategies other people already wrote - Server side alerts that fire when your device is off, plus push and email delivery - Screeners and scanners over every listed symbol, and multi-market symbol coverage in general - Polished mobile and desktop apps with drawings and watchlists synced across all of them - Broker connections and one click order entry from the chart If those capabilities are essential, use TradingView instead of pretending the gap is solved. ===== AGENTS.md ===== # Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs". ===== BUILD_PLAN.md ===== # Build plan ## Original build brief Build a local-first market charting app called "deskchart". Single user, runs on my machine, no accounts, no telemetry, no cloud. Stack, not negotiable: - Vite + React + TypeScript for the UI - lightweight-charts (MIT, from TradingView) for rendering candles and overlays - A small Express + TypeScript server in the same repo as a data proxy and cache - SQLite via better-sqlite3 for candle cache, watchlists and alerts - pnpm workspaces, one command to run both: pnpm dev Data: - Crypto: Binance public REST klines endpoint, no key needed, treat this as the real-time path - Equities and ETFs: Stooq daily CSV as the default source, with an optional adapter interface so another provider can be dropped in via .env - Cache every fetched candle range in SQLite and only request the missing tail on reload - Put any API keys in .env, read via a single config module, ship .env.example. Never hardcode secrets - Print a visible "DELAYED" badge on any symbol whose source is not real time. Do not pretend otherwise Features in scope: - Symbol search over a locally seeded symbol list, watchlists stored in SQLite - Candlestick chart with timeframe switcher: 1m, 5m, 1h, 1d, 1w - Indicator overlays computed client side: SMA, EMA, VWAP, RSI and MACD in a lower pane - Persisted horizontal price lines and trendlines per symbol, saved to SQLite - Simple alerts: price crosses above or below a level. Server polls every 60s and fires a desktop notification via node-notifier plus a row in an alerts log - Dark theme, keyboard shortcuts for timeframe and symbol switching Explicitly out of scope, do not attempt: - Any scripting language or Pine Script compatibility - Broker connections or order entry - Social feed, published ideas, comments - Multi-user auth, hosted deployment, mobile apps - Scraping any paid or authenticated data feed Deliverables: working repo, README with setup and a blunt "data limitations" section, seed script for symbols, and vitest coverage on the indicator math and the cache-gap logic. ## Required capabilities - Node 20 plus - A machine left running if you want alerts to fire - Tolerance for delayed or rate limited free equity data - Binance or similar public API for anything that needs to be genuinely real time ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden. ===== .env.example ===== # Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
You are building a production product version of TradingView. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== PRODUCT.md ===== # TradingView product brief ## Problem The chart widget itself is not the product, and TradingView proved that by open sourcing a perfectly good one: lightweight-charts is MIT licensed and you can have candles on screen in an afternoon. What you cannot build is the data pipe behind it. Real-time consolidated equity, futures and options feeds are licensed per exchange, per user, with entitlement checks and redistribution rules, and the free endpoints you will end up scraping are delayed, rate limited and quietly break. On top of that sits Pine Script and roughly a decade of community published indicators and strategies, plus screeners over every listed symbol, alerts that fire while your laptop is shut, and broker order routing. A local build gives you crypto in real time and equities on a delay, which is either fine or completely useless depending on your time horizon. ## Product outcome A local charting app that pulls daily and intraday candles from free public endpoints, caches them in SQLite, renders them with lightweight-charts, and polls a handful of price alerts you define yourself. ## Target user A serious builder who needs a maintainable product foundation rather than a one-off demo. ## Required capabilities - Node 20 plus - A machine left running if you want alerts to fire - Tolerance for delayed or rate limited free equity data - Binance or similar public API for anything that needs to be genuinely real time ## Explicit non-goals for v1 - Licensed real-time exchange data for equities, futures and options; free sources are delayed and fragile - Pine Script and the enormous library of published indicators and strategies other people already wrote - Server side alerts that fire when your device is off, plus push and email delivery - Screeners and scanners over every listed symbol, and multi-market symbol coverage in general - Polished mobile and desktop apps with drawings and watchlists synced across all of them - Broker connections and one click order entry from the chart ## Success criteria - The primary workflow is measurable end to end. - Setup is reproducible in a clean environment. - Failure, recovery, and support paths are documented. - Product claims match what the implementation actually guarantees. ===== ARCHITECTURE.md ===== # Architecture ## Starting brief Build a local-first market charting app called "deskchart". Single user, runs on my machine, no accounts, no telemetry, no cloud. Stack, not negotiable: - Vite + React + TypeScript for the UI - lightweight-charts (MIT, from TradingView) for rendering candles and overlays - A small Express + TypeScript server in the same repo as a data proxy and cache - SQLite via better-sqlite3 for candle cache, watchlists and alerts - pnpm workspaces, one command to run both: pnpm dev Data: - Crypto: Binance public REST klines endpoint, no key needed, treat this as the real-time path - Equities and ETFs: Stooq daily CSV as the default source, with an optional adapter interface so another provider can be dropped in via .env - Cache every fetched candle range in SQLite and only request the missing tail on reload - Put any API keys in .env, read via a single config module, ship .env.example. Never hardcode secrets - Print a visible "DELAYED" badge on any symbol whose source is not real time. Do not pretend otherwise Features in scope: - Symbol search over a locally seeded symbol list, watchlists stored in SQLite - Candlestick chart with timeframe switcher: 1m, 5m, 1h, 1d, 1w - Indicator overlays computed client side: SMA, EMA, VWAP, RSI and MACD in a lower pane - Persisted horizontal price lines and trendlines per symbol, saved to SQLite - Simple alerts: price crosses above or below a level. Server polls every 60s and fires a desktop notification via node-notifier plus a row in an alerts log - Dark theme, keyboard shortcuts for timeframe and symbol switching Explicitly out of scope, do not attempt: - Any scripting language or Pine Script compatibility - Broker connections or order entry - Social feed, published ideas, comments - Multi-user auth, hosted deployment, mobile apps - Scraping any paid or authenticated data feed Deliverables: working repo, README with setup and a blunt "data limitations" section, seed script for symbols, and vitest coverage on the indicator math and the cache-gap logic. ## Boundaries Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors. ## Production baseline - Configuration: validated at startup with safe local defaults where possible. - Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives. - Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions. - Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts. - Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists. - Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test. ## Decision records For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it. ===== AGENTS.md ===== # Agent instructions - Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code. - Implement milestone by milestone; keep each change reviewable and leave the application runnable. - Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present. - Never invent cryptography or silently weaken a requirement to make a test pass. - Use provider interfaces for external services and deterministic fakes in tests. - Add migrations and rollback or recovery notes for persistent data changes. - Log useful operational context without credentials, tokens, passwords, or personal data. - Update documentation and run all checks before completing a milestone. ===== MILESTONES.md ===== # Delivery milestones ## M0 — Decisions and scaffold - Confirm the runtime, persistence model, threat boundaries, and deployment target. - Create a reproducible local environment and continuous checks. ## M1 — Core workflow - Implement the smallest end-to-end product path with validation and tests. - Keep integrations behind interfaces. ## M2 — Trust layer - Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards. - Test abuse cases and destructive operations. ## M3 — Operability - Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration. ## M4 — Release gate - Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise. - Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations. ===== OPERATIONS.md ===== # Operations ## Before release - Validate configuration and secrets at startup. - Define backup, restore, and rollback procedures and test them. - Document logs, error tracking, health signals, and alert ownership. - Set dependency update and vulnerability review expectations. ## Incident checklist 1. Contain the issue without destroying evidence or user data. 2. Record the timeline and affected scope. 3. Rotate exposed secrets and revoke compromised sessions or credentials. 4. Restore from a verified source when needed. 5. Document the root cause, remediation, and regression test. ## Launch constraint Do not market omitted TradingView capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.
README.md
# TradingView indie build ## Goal Build the smallest trustworthy replacement for the core TradingView workflow for one developer or a tiny team. ## Scope A local charting app that pulls daily and intraday candles from free public endpoints, caches them in SQLite, renders them with lightweight-charts, and polls a handful of price alerts you define yourself. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - Licensed real-time exchange data for equities, futures and options; free sources are delayed and fragile - Pine Script and the enormous library of published indicators and strategies other people already wrote - Server side alerts that fire when your device is off, plus push and email delivery - Screeners and scanners over every listed symbol, and multi-market symbol coverage in general - Polished mobile and desktop apps with drawings and watchlists synced across all of them - Broker connections and one click order entry from the chart If those capabilities are essential, use TradingView instead of pretending the gap is solved.
AGENTS.md
# Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs".
BUILD_PLAN.md
# Build plan ## Original build brief Build a local-first market charting app called "deskchart". Single user, runs on my machine, no accounts, no telemetry, no cloud. Stack, not negotiable: - Vite + React + TypeScript for the UI - lightweight-charts (MIT, from TradingView) for rendering candles and overlays - A small Express + TypeScript server in the same repo as a data proxy and cache - SQLite via better-sqlite3 for candle cache, watchlists and alerts - pnpm workspaces, one command to run both: pnpm dev Data: - Crypto: Binance public REST klines endpoint, no key needed, treat this as the real-time path - Equities and ETFs: Stooq daily CSV as the default source, with an optional adapter interface so another provider can be dropped in via .env - Cache every fetched candle range in SQLite and only request the missing tail on reload - Put any API keys in .env, read via a single config module, ship .env.example. Never hardcode secrets - Print a visible "DELAYED" badge on any symbol whose source is not real time. Do not pretend otherwise Features in scope: - Symbol search over a locally seeded symbol list, watchlists stored in SQLite - Candlestick chart with timeframe switcher: 1m, 5m, 1h, 1d, 1w - Indicator overlays computed client side: SMA, EMA, VWAP, RSI and MACD in a lower pane - Persisted horizontal price lines and trendlines per symbol, saved to SQLite - Simple alerts: price crosses above or below a level. Server polls every 60s and fires a desktop notification via node-notifier plus a row in an alerts log - Dark theme, keyboard shortcuts for timeframe and symbol switching Explicitly out of scope, do not attempt: - Any scripting language or Pine Script compatibility - Broker connections or order entry - Social feed, published ideas, comments - Multi-user auth, hosted deployment, mobile apps - Scraping any paid or authenticated data feed Deliverables: working repo, README with setup and a blunt "data limitations" section, seed script for symbols, and vitest coverage on the indicator math and the cache-gap logic. ## Required capabilities - Node 20 plus - A machine left running if you want alerts to fire - Tolerance for delayed or rate limited free equity data - Binance or similar public API for anything that needs to be genuinely real time ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden.
.env.example
# Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
PRODUCT.md
# TradingView product brief ## Problem The chart widget itself is not the product, and TradingView proved that by open sourcing a perfectly good one: lightweight-charts is MIT licensed and you can have candles on screen in an afternoon. What you cannot build is the data pipe behind it. Real-time consolidated equity, futures and options feeds are licensed per exchange, per user, with entitlement checks and redistribution rules, and the free endpoints you will end up scraping are delayed, rate limited and quietly break. On top of that sits Pine Script and roughly a decade of community published indicators and strategies, plus screeners over every listed symbol, alerts that fire while your laptop is shut, and broker order routing. A local build gives you crypto in real time and equities on a delay, which is either fine or completely useless depending on your time horizon. ## Product outcome A local charting app that pulls daily and intraday candles from free public endpoints, caches them in SQLite, renders them with lightweight-charts, and polls a handful of price alerts you define yourself. ## Target user A serious builder who needs a maintainable product foundation rather than a one-off demo. ## Required capabilities - Node 20 plus - A machine left running if you want alerts to fire - Tolerance for delayed or rate limited free equity data - Binance or similar public API for anything that needs to be genuinely real time ## Explicit non-goals for v1 - Licensed real-time exchange data for equities, futures and options; free sources are delayed and fragile - Pine Script and the enormous library of published indicators and strategies other people already wrote - Server side alerts that fire when your device is off, plus push and email delivery - Screeners and scanners over every listed symbol, and multi-market symbol coverage in general - Polished mobile and desktop apps with drawings and watchlists synced across all of them - Broker connections and one click order entry from the chart ## Success criteria - The primary workflow is measurable end to end. - Setup is reproducible in a clean environment. - Failure, recovery, and support paths are documented. - Product claims match what the implementation actually guarantees.
ARCHITECTURE.md
# Architecture ## Starting brief Build a local-first market charting app called "deskchart". Single user, runs on my machine, no accounts, no telemetry, no cloud. Stack, not negotiable: - Vite + React + TypeScript for the UI - lightweight-charts (MIT, from TradingView) for rendering candles and overlays - A small Express + TypeScript server in the same repo as a data proxy and cache - SQLite via better-sqlite3 for candle cache, watchlists and alerts - pnpm workspaces, one command to run both: pnpm dev Data: - Crypto: Binance public REST klines endpoint, no key needed, treat this as the real-time path - Equities and ETFs: Stooq daily CSV as the default source, with an optional adapter interface so another provider can be dropped in via .env - Cache every fetched candle range in SQLite and only request the missing tail on reload - Put any API keys in .env, read via a single config module, ship .env.example. Never hardcode secrets - Print a visible "DELAYED" badge on any symbol whose source is not real time. Do not pretend otherwise Features in scope: - Symbol search over a locally seeded symbol list, watchlists stored in SQLite - Candlestick chart with timeframe switcher: 1m, 5m, 1h, 1d, 1w - Indicator overlays computed client side: SMA, EMA, VWAP, RSI and MACD in a lower pane - Persisted horizontal price lines and trendlines per symbol, saved to SQLite - Simple alerts: price crosses above or below a level. Server polls every 60s and fires a desktop notification via node-notifier plus a row in an alerts log - Dark theme, keyboard shortcuts for timeframe and symbol switching Explicitly out of scope, do not attempt: - Any scripting language or Pine Script compatibility - Broker connections or order entry - Social feed, published ideas, comments - Multi-user auth, hosted deployment, mobile apps - Scraping any paid or authenticated data feed Deliverables: working repo, README with setup and a blunt "data limitations" section, seed script for symbols, and vitest coverage on the indicator math and the cache-gap logic. ## Boundaries Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors. ## Production baseline - Configuration: validated at startup with safe local defaults where possible. - Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives. - Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions. - Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts. - Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists. - Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test. ## Decision records For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it.
AGENTS.md
# Agent instructions - Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code. - Implement milestone by milestone; keep each change reviewable and leave the application runnable. - Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present. - Never invent cryptography or silently weaken a requirement to make a test pass. - Use provider interfaces for external services and deterministic fakes in tests. - Add migrations and rollback or recovery notes for persistent data changes. - Log useful operational context without credentials, tokens, passwords, or personal data. - Update documentation and run all checks before completing a milestone.
MILESTONES.md
# Delivery milestones ## M0 — Decisions and scaffold - Confirm the runtime, persistence model, threat boundaries, and deployment target. - Create a reproducible local environment and continuous checks. ## M1 — Core workflow - Implement the smallest end-to-end product path with validation and tests. - Keep integrations behind interfaces. ## M2 — Trust layer - Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards. - Test abuse cases and destructive operations. ## M3 — Operability - Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration. ## M4 — Release gate - Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise. - Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations.
OPERATIONS.md
# Operations ## Before release - Validate configuration and secrets at startup. - Define backup, restore, and rollback procedures and test them. - Document logs, error tracking, health signals, and alert ownership. - Set dependency update and vulnerability review expectations. ## Incident checklist 1. Contain the issue without destroying evidence or user data. 2. Record the timeline and affected scope. 3. Rotate exposed secrets and revoke compromised sessions or credentials. 4. Restore from a verified source when needed. 5. Document the root cause, remediation, and regression test. ## Launch constraint Do not market omitted TradingView capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.
$ choose a build depth, inspect the files, then open the complete pack in your agent · this prompt is generated from the build plan · improve it via PR
Because the subscription is mostly a data and uptime bill wearing a charting UI. Traders pay so that real-time quotes are entitled and correct, so alerts fire at 2am without a laptop being awake, so the same watchlist and drawings appear on phone and desktop, and so the indicator they read about on a forum is one click away instead of a weekend of reimplementation. For anyone whose decisions happen on a daily or weekly candle, though, the paid tiers are largely convenience, and a local build genuinely covers it.
xLicensed real-time exchange data for equities, futures and options; free sources are delayed and fragile
xPine Script and the enormous library of published indicators and strategies other people already wrote
xServer side alerts that fire when your device is off, plus push and email delivery
xScreeners and scanners over every listed symbol, and multi-market symbol coverage in general
xPolished mobile and desktop apps with drawings and watchlists synced across all of them
xBroker connections and one click order entry from the chart
Nothing worth pointing at. That's why the prompt exists.
share on X ↗"I just replaced TradingView ($14.95/mo) with one prompt"
Vibecode TradingView
Not really. TradingView's value is not the code: The moat is licensed exchange data plus a decade of community written Pine Script that only runs on their servers. See the honest breakdown above.
How much does TradingView cost?
TradingView costs about $14.95/month (Essential, checked 2026-08-18), which is $179.39999999999998 per year.
What do I lose by replacing TradingView?
Honestly: Licensed real-time exchange data for equities, futures and options; free sources are delayed and fragile; Pine Script and the enormous library of published indicators and strategies other people already wrote; Server side alerts that fire when your device is off, plus push and email delivery; Screeners and scanners over every listed symbol, and multi-market symbol coverage in general; Polished mobile and desktop apps with drawings and watchlists synced across all of them; Broker connections and one click order entry from the chart. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to TradingView?
No mature open-source alternative worth pointing at, which is exactly why the one-shot prompt on this page exists.