tradingview-server

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Table of Contents

• Features
• Installation
• CLI Usage
• Configuration
• MCP Tools
• Screening Fields
• Pre-built Strategies
• Investor Commands
• Operators
• Development
• Disclaimer

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Features

• Dual mode: MCP + CLI — use as an MCP server with Claude or as a standalone tradingview-cli command
• 100+ screener fields including Piotroski F-Score, Altman Z-Score, Graham Number, analyst consensus, and dividend growth streaks
• 18 filter operators including crosses_above / crosses_below for golden cross detection
• 14 pre-built strategies covering value, growth, quality, GARP, deep value, breakouts, compounders, and macro monitoring
• Symbol discovery — search for TradingView symbols by name, ticker, or description via search_symbols
• Technical analysis — TradingView-style buy/sell/neutral summaries and multi-timeframe TA ranking via get_ta_summary and rank_by_ta
• Market metadata — discover available screener fields per market via get_market_metainfo
• 9 investor workflow commands — from /due-diligence to /macro-dashboard — built on top of the MCP tools
• Multi-asset coverage — stocks, ETFs, forex, and crypto with asset-specific field discovery via list_fields
• Smart caching and rate limiting — configurable TTL and requests-per-minute to keep usage responsible

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Installation

Option 1: NPM (Recommended)

npm install -g tradingview-mcp-server

Option 2: Clone Repository (includes demo commands)

git clone https://github.com/fiale-plus/tradingview-mcp-server.git
cd tradingview-mcp-server
npm install

# Quick setup — creates project-level MCP config
./local-setup.sh          # Linux/Mac
local-setup.bat           # Windows

# Restart Claude Code and try: /market-regime or /run-screener

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CLI Usage

After installing the package, the tradingview-cli command is available globally:

# List all pre-built screening strategies
tradingview-cli presets

# Screen stocks using a preset
tradingview-cli screen stocks --preset quality_stocks --limit 10

# Screen with custom filters
tradingview-cli screen stocks --filters '[{"field":"price_earnings_ttm","operator":"less","value":15}]'

# Look up specific symbols (indexes, stocks)
tradingview-cli lookup NASDAQ:AAPL TVC:SPX NYSE:MSFT

# Discover available screening fields
tradingview-cli fields --asset-type stock --category fundamental

# Search for a symbol
tradingview-cli search apple --exchange NASDAQ

# Get market metadata
tradingview-cli metainfo america --fields name,close,market_cap_basic

# Technical analysis summary
tradingview-cli ta NASDAQ:AAPL NASDAQ:NVDA

# Rank symbols by TA score
tradingview-cli rank-ta NASDAQ:AAPL NASDAQ:MSFT NASDAQ:NVDA --timeframes 60,1D --weights '{"1D":3}'

Output Formats

# JSON (default) — pipe to jq
tradingview-cli screen stocks --preset value_stocks | jq '.stocks[].name'

# CSV — pipe to file or csvtool
tradingview-cli screen stocks --preset value_stocks -f csv > results.csv

# Table — human-readable terminal output
tradingview-cli screen stocks --preset value_stocks -f table

CLI Commands

Command	Description
screen stocks [opts]	Screen stocks by fundamental/technical criteria
screen forex [opts]	Screen forex pairs
screen crypto [opts]	Screen cryptocurrencies
screen etf [opts]	Screen ETFs
lookup <symbols...>	Look up specific symbols by ticker
search <query> [opts]	Search for symbols by name, ticker, or description
metainfo <market> [opts]	Get metadata about a market screener
ta <symbols...> [opts]	Get technical analysis summary for symbols
rank-ta <symbols...> [opts]	Rank symbols by weighted TA scores
fields [opts]	List available screening fields
preset <name>	Get a preset strategy's details
presets	List all available presets

Screen Options

Flag	Description
--filters <json>	Filter array as JSON string
--preset <name>	Load a preset (merges with --filters)
--markets <market>	Market to screen (repeatable, stocks/etf only)
--sort-by <field>	Sort by field
--sort-order <asc|desc>	Sort direction
--limit <n>	Max results (1-200, default 20)
--columns <col>	Columns to include (repeatable)
-f, --format <fmt>	Output: json, csv, or table

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Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json on Mac:

{
  "mcpServers": {
    "tradingview": {
      "command": "npx",
      "args": ["-y", "tradingview-mcp-server"]
    }
  }
}

Claude Code

Create .mcp.json in your project root:

{
  "mcpServers": {
    "tradingview": {
      "command": "npx",
      "args": ["-y", "tradingview-mcp-server"]
    }
  }
}

Enable in .claude/settings.local.json:

{
  "enableAllProjectMcpServers": true
}

Environment Variables

Variable	Default	Description
CACHE_TTL_SECONDS	300	How long to cache API responses (seconds)
RATE_LIMIT_RPM	10	Maximum API requests per minute

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MCP Tools

Twelve tools are exposed to Claude:

Tool	Description	Key Parameters
screen_stocks	Screen stocks by fundamental and technical criteria	filters, markets, sort_by, limit, columns
screen_forex	Screen forex pairs by technical criteria	filters, sort_by, limit
screen_crypto	Screen cryptocurrencies by market and technical criteria	filters, sort_by, limit
screen_etf	Screen ETFs by performance and technical criteria	filters, markets, sort_by, limit
lookup_symbols	Direct lookup by ticker — required for indexes like TVC:SPX	symbols (up to 100), columns
list_fields	Discover available fields for any asset type	asset_type (stock, forex, crypto, etf), category
search_symbols	Search for symbols by name, ticker, or description	query, exchange, asset_type, limit
get_market_metainfo	Get metadata about a market screener and available fields	market, fields, mode (summary/raw)
get_ta_summary	TradingView-style technical analysis summary (buy/sell/neutral)	symbols, timeframes, include_components
rank_by_ta	Rank symbols by weighted TA scores across timeframes	symbols, timeframes, weights
get_preset	Retrieve a pre-configured screening strategy by key	preset_name
list_presets	List all available preset strategies with descriptions	—

Filter Structure

All screening tools accept filters in this shape:

{ "field": "return_on_equity", "operator": "greater", "value": 15 }
{ "field": "RSI", "operator": "in_range", "value": [40, 65] }
{ "field": "SMA50", "operator": "crosses_above", "value": "SMA200" }
{ "field": "exchange", "operator": "in_range", "value": ["NASDAQ", "NYSE"] }

Cross-field comparison (second example above) enables golden cross / death cross detection without needing a value on the right-hand side.

Symbol Discovery

Use search_symbols to find exact TradingView identifiers before screening:

// Search for Apple
{ "query": "apple" }

// Narrow by exchange and type
{ "query": "bitcoin", "exchange": "BINANCE", "asset_type": "crypto" }

Returns normalized symbols with exchange, type, and currency.

Market Metainfo

Use get_market_metainfo to discover available fields for a market:

// All fields for US stocks
{ "market": "america" }

// Specific fields only
{ "market": "america", "fields": ["name", "close", "market_cap_basic"] }

// Raw passthrough for debugging
{ "market": "america", "mode": "raw" }

Technical Analysis Summary

Use get_ta_summary for TradingView-style buy/sell/neutral labels:

// Single symbol, default timeframes (60m, 4H, 1D, 1W)
{ "symbols": ["NASDAQ:AAPL"] }

// Multiple symbols with custom timeframes
{ "symbols": ["NASDAQ:AAPL", "NASDAQ:NVDA"], "timeframes": ["60", "240", "1D", "1W"] }

Returns labels (strong_buy, buy, neutral, sell, strong_sell) plus raw scores based on oscillators and moving averages.

TA Ranking

Use rank_by_ta to compare symbols by weighted technical alignment:

// Equal-weight ranking
{ "symbols": ["NASDAQ:AAPL", "NASDAQ:MSFT", "NASDAQ:NVDA"] }

// Weight daily timeframe 3x more
{ "symbols": ["NASDAQ:AAPL", "NASDAQ:MSFT"], "weights": { "1D": 3, "1W": 2 } }

Returns ranked list with per-timeframe breakdown and weighted average score.

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Screening Fields

Use list_fields to browse fields. Pass asset_type to get tailored lists for each asset class.

Stocks (~80 fields)

Valuation price_earnings_ttm, price_book_fq, price_sales_current, enterprise_value_current, enterprise_value_ebitda_ttm, enterprise_value_to_ebit_ttm, price_earnings_growth_ttm (PEG), ebitda

Profitability & Returns return_on_equity, return_on_assets, return_on_invested_capital_fq, gross_margin_ttm, operating_margin_ttm, net_margin_ttm, after_tax_margin, pre_tax_margin_ttm, free_cash_flow_margin_ttm

Growth total_revenue_yoy_growth_ttm, earnings_per_share_diluted_yoy_growth_ttm, revenue_per_share_ttm, total_revenue, net_income, earnings_per_share_diluted_ttm

Balance Sheet debt_to_equity, total_debt, total_assets, current_ratio, free_cash_flow_ttm, free_cash_flow_fq

Dividends dividend_yield_recent, dividends_yield_current, dividend_payout_ratio_ttm, continuous_dividend_payout_years, dps_yoy_growth_ttm

Composite Scores (unique differentiators)

Field	Description
piotroski_f_score_ttm	0–9 financial strength composite. Score ≥7 = strong, ≤2 = weak
altman_z_score_ttm	Bankruptcy predictor. >2.99 = safe, 1.81–2.99 = grey zone, <1.81 = distress
graham_numbers_ttm	Intrinsic value = sqrt(22.5 × EPS × BVPS). Price below = undervalued

Analyst Data Recommend.All (composite −1 to +1), analyst_recommendations_buy, analyst_recommendations_sell, analyst_recommendations_neutral, price_target_average, price_target_high, price_target_low

Technical RSI, SMA50, SMA200, EMA10, VWAP, ATR, ADX, Volatility.M, beta_1_year, beta_3_year, beta_5_year, Recommend.MA, Recommend.Other

Performance & Price Levels close, change, volume, average_volume_90d_calc, average_volume_30d_calc, relative_volume_10d_calc, Perf.5D, Perf.W, Perf.1M, Perf.3M, Perf.6M, Perf.Y, Perf.YTD, Perf.3Y, Perf.5Y, Perf.10Y, Perf.All, price_52_week_high, price_52_week_low, all_time_high, all_time_low, High.All

Metadata sector, industry, exchange, market, is_primary, indexes, fundamental_currency_code, earnings_release_next_trading_date_fq

ETFs

expense_ratio, shares_outstanding, dividends_yield_current, close, volume, Perf.W through Perf.Y, RSI, ATR

Crypto

close, change, volume, market_cap_basic, RSI, ATR, Volatility.M, Perf.W through Perf.Y

Forex

close, change, volume, RSI, ATR, ADX, Volatility.D, SMA50, SMA200, Perf.W through Perf.3M

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Pre-built Strategies

Retrieve any preset with get_preset or browse all with list_presets.

Key	Name	Style	What It Screens For
quality_stocks	Quality Stocks (Conservative)	Quality	ROE >12%, low debt, low volatility, golden cross
value_stocks	Value Stocks	Value	P/E <15, P/B <1.5, ROE >10%
dividend_stocks	Dividend Stocks	Income	Yield >3%, large cap, D/E <1.0
momentum_stocks	Momentum Stocks	Momentum	RSI 50–70, golden cross, 1M performance >5%
growth_stocks	Growth Stocks	Growth	ROE >20%, operating margin >15%
quality_growth_screener	Quality Growth Screener	Quality + Growth	16 filters: ROE, margins, revenue growth, technicals, exchange filter
quality_compounder	Quality Compounders (Munger/Buffett)	Compounder	Gross margin >40%, ROIC >15%, FCF margin >15%, growing revenue
garp	GARP (Growth at Reasonable Price)	GARP	PEG <2, ROE >15%, revenue growth >10%
deep_value	Deep Value (Contrarian)	Deep Value	P/E <10, P/B <1.5, positive FCF
breakout_scanner	Breakout Scanner	Momentum	Near 52-week high, golden cross, RSI 50–75, above-average volume
earnings_momentum	Earnings Momentum	Earnings	EPS growth YoY >20%, revenue growth >10%, RSI 45–70
dividend_growth	Dividend Growth (Compounding Income)	Dividend Growth	Yield 1–6%, payout ratio <70%, positive FCF, consecutive years paying
macro_assets	Macro Asset Monitor	Macro	VIX, DXY, 10Y yield, Gold, WTI Oil, Bitcoin — direct symbol lookup
market_indexes	Global Market Indexes	Market Regime	13 global indexes (US, Europe, Asia, Nordic) with ATH and performance data

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Investor Commands

The repository ships with 9 ready-to-use Claude Code commands in .claude/commands/. Clone the repo and run ./local-setup.sh to activate them.

Command	Usage	What It Does
/market-regime	/market-regime	Analyzes Nasdaq, OMX Stockholm 30, and Nikkei 225 vs ATH. Shows drawdown, RSI, and bull/correction/bear regime status
/run-screener	/run-screener	Interactive wizard to pick a preset strategy, run it, display a compact table, and save results to CSV
/due-diligence	/due-diligence AAPL	Structured due diligence report: valuation, quality, growth, balance sheet, dividends, technicals, performance, and checklist assessment
/compare-peers	/compare-peers AAPL MSFT GOOGL	Side-by-side comparison of 2–5 stocks across valuation, quality, growth, and momentum with category rankings
/sector-rotation	/sector-rotation	Screens top stocks in all 11 GICS sectors, calculates average performance, assigns Accelerating/Decelerating signals, and recommends a preset
/smart-screen	/smart-screen	Determines current market regime (bull/correction/bear) from SPX, then auto-selects and runs the most appropriate preset
/macro-dashboard	/macro-dashboard	Multi-asset snapshot: US and global indexes, VIX, DXY, 10Y yield, Gold, Oil, BTC with auto-interpreted macro signals
/portfolio-risk	/portfolio-risk AAPL MSFT JPM XOM	Portfolio concentration risk, sector breakdown, beta analysis, and diversification recommendations
/investment-thesis	/investment-thesis NVDA	Data-driven investment thesis with bull/bear case, key metrics table, technical setup, entry/exit framework, and monitoring checklist

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Operators

All screening tools support the following operators in filter conditions:

Operator	Description	Example
greater	Field > value	return_on_equity > 15
less	Field < value	price_earnings_ttm < 20
greater_or_equal	Field >= value	close >= 10
less_or_equal	Field <= value	Volatility.M <= 3
equal	Exact match	sector = "Technology"
not_equal	Not equal	exchange != "OTC"
in_range	Value within [min, max] or in a list	RSI in [45, 65] or exchange in ["NASDAQ", "NYSE"]
not_in_range	Value outside range or list	RSI not_in [70, 100]
crosses	Field crosses the reference (either direction)	SMA50 crosses SMA200
crosses_above	Field crosses above the reference	SMA50 crosses_above SMA200 (golden cross)
crosses_below	Field crosses below the reference	SMA50 crosses_below SMA200 (death cross)
match	Text contains substring	name match "tech"
above_percent	Field is N% above reference	close above_percent SMA200
below_percent	Field is N% below reference	close below_percent SMA200
has	Field contains value (list fields)	indexes has "S&P 500"
has_none_of	Field contains none of the values	filters out specific index members
empty	Field has no value	dividend_yield_recent empty
not_empty	Field has a value	all_time_high not_empty

String fields (sector, exchange, industry, market) use equal for single values and in_range for lists.

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Development

npm install          # Install dependencies
npm run build        # Compile TypeScript to dist/
npm test             # Run all tests
npm run test:watch   # Run tests in watch mode
npm run dev          # Run directly with tsx (no build step)

Run a single test file:

npm test -- fields.test.ts

After making changes, restart Claude to reload the MCP server (no hot-reload).

Adding a New Field

1. Add to STOCK_FIELDS in src/tools/fields.ts with name, label, category, type, description
2. Optionally add to EXTENDED_COLUMNS in src/tools/screen.ts

Adding a New Preset

Add to PRESETS in src/resources/presets.ts with filters, markets, sort_by, sort_order, and optional columns.

Adding a New Tool

1. Create implementation in src/tools/
2. Register in ListToolsRequestSchema handler in src/index.ts
3. Add case in CallToolRequestSchema handler

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Disclaimer

This is an unofficial tool. It is not affiliated with, endorsed by, or connected to TradingView. It uses TradingView's public scanner API, which may change without notice. No authentication is required; access level is the same as the TradingView website without login.

Not investment advice. Screening results are for informational and educational purposes only. All investment decisions are your sole responsibility. Past performance does not indicate future results. Consult qualified financial advisors before making investment decisions.

This software is provided "AS IS" under the MIT License, without warranty of any kind.

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Links

• Model Context Protocol
• TradingView
• Claude Desktop
• Claude Code

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Smarter screens, not faster trades.

Built with the Model Context Protocol