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URL: https://apify.com/deadheadt/tradingview-mcp

โ‡ฑ Tradingview Mcp ยท Apify


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from $5.00 / 1,000 light data reads

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Real-time TradingView market data via MCP. Screen stocks & crypto, technical analysis (RSI, MACD, BB, Ichimoku), Fibonacci levels, S/R zones, pivot points, VWAP, volume profile, earnings & IPO calendars, correlation. No API key needed.

Pricing

from $5.00 / 1,000 light data reads

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Developer

๐Ÿ‘ Brian johnson

Brian johnson

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11 days ago

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TradingView MCP Server

A Model Context Protocol server that exposes 41 TradingView market-data tools to Claude and other AI agents โ€” no rate limiting, no API key required.

Project structure

tradingview-mcp/
โ”œโ”€โ”€ mcp_server.py # MCP server โ€” 41 tools
โ”œโ”€โ”€ tradingview_historical_fetcher.py # Historical OHLCV helper
โ”œโ”€โ”€ requirements.txt
โ””โ”€โ”€ README.md

Quick start

pip install-r requirements.txt
python mcp_server.py

Add it to your Claude Code config (.mcp.json):

{
"tradingview":{
"type":"stdio",
"command":"python",
"args":["/path/to/mcp_server.py"]
}
}

Environment variables

Create a .env file for optional features:

# Required only for get_watchlist_tickers
# Copy from browser cookies while logged into tradingview.com
TV_SESSION_ID=your_sessionid_cookie
TV_SESSION_SIGN=your_sessionid_sign_cookie

Available tools (41)

Screening & prices

ToolDescription
screen_stocksBulk screener โ€” filter by exchange, sector, price, market cap
get_priceCurrent price for a single ticker
get_multiple_pricesPrices for up to 100 tickers in one call
top_gainers / top_losersBiggest movers for the day
rating_filterScreen by TV recommendation (Buy/Sell/Neutral)
search_symbolSearch for a ticker by name or keyword
get_symbol_infoCompany description, sector, country, exchange

Technical indicators

ToolDescription
get_technical_analysisFull TA summary (RSI, MACD, MAs, oscillators, signal)
coin_analysisSame as above, optimised for crypto
get_bollinger_bandsBB upper/middle/lower, width, %B, squeeze flag
get_macdMACD line, signal, histogram
get_moving_averagesSMA/EMA across 5, 10, 20, 50, 100, 200 periods
get_stochastic%K, %D, crossover signal
get_adxADX, +DI, -DI, trend strength
get_ichimoku_cloudTenkan, Kijun, Senkou A/B, Chikou
get_atrAverage True Range
get_vwapVolume-Weighted Average Price

Chart patterns & structure

ToolDescription
get_fibonacci_retracementFib levels from swing high/low
get_support_resistanceKey S/R levels via pivot clustering
get_pivot_pointsClassic, Camarilla, Woodie pivots
get_volume_profileVolume by price bucket (POC, VAH, VAL)
detect_unfilled_gapsOpen price gaps on the chart
consecutive_candles_scanScan for N consecutive bullish/bearish candles
advanced_candle_patternDoji, engulfing, hammer, shooting star, etc.
bollinger_scanScreen stocks near BB extremes

Historical data & correlation

ToolDescription
get_historical_ohlcvOHLCV candles (1m โ†’ 1M)
calculate_correlationPearson correlation between two symbols
list_available_pairsBrowse forex pairs by base/quote currency

Options & volatility

ToolDescription
get_iv_smileImplied-volatility smile by strike or delta for a specific expiry
get_iv_term_structureIV at standard tenors (1w/2w/1m/2m/3m/6m/9m/1y) and real expiries

Watchlists

ToolDescription
get_watchlist_dataPerformance, volatility, RSI, rating for an explicit ticker list
get_watchlist_tickersFetch tickers from a TradingView watchlist by its numeric ID

Calendars & bonds

ToolDescription
get_earnings_calendarUpcoming earnings dates and EPS estimates
get_ipo_calendarScheduled IPOs
get_bond_infoCorporate bonds related to a stock (yield, maturity)

News

ToolDescription
get_symbol_newsLatest news articles for a ticker with cursor pagination

Backtesting

ToolDescription
backtest_indicatorRun a single strategy on a symbol and get P&L metrics
backtest_optimizeGrid-search indicator parameters for best return
backtest_compareCompare strategies across multiple symbols

Portfolio

ToolDescription
get_portfolio_stocksRead a local SQLite portfolio database

Tech stack

  • Python 3.9+, FastMCP
  • TradingView public APIs (scanner, options-charting, news-mediator)
  • Pandas, NumPy (backtesting engine)

Disclaimer

For educational and informational purposes only. Not financial advice.

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