TradingView Screener
Screen markets across 6 asset classes using TradingView data. API pre-filters + pandas computed signals. YAML-driven strategies.
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Screen markets across 6 asset classes using TradingView data. API pre-filters + pandas computed signals. YAML-driven strategies.
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Screen stocks, crypto, forex, bonds, futures, and coins using TradingView's market data. Zero auth required.
Before first use, run the install script to create a venv and install dependencies:
bash skills/tradingview-screener/install.sh
This creates
.venv/ inside the skill directory with all required packages.
All scripts use the skill's own venv:
skills/tradingview-screener/.venv/bin/python3 skills/tradingview-screener/scripts/<script>.py [args]
Windows:
skills/tradingview-screener/.venv/Scripts/python.exe skills/tradingview-screener/scripts/<script>.py [args]
| Mode | Description | Script |
|---|---|---|
| Screen | One-time scan with filters, columns, sort | |
| Signal | YAML-driven signal detection (pre-filters + computed signals) | |
skills/tradingview-screener/.venv/bin/python3 skills/tradingview-screener/scripts/screen.py \ --asset-class stock --limit 20 \ --filters '[{"field":"MARKET_CAPITALIZATION","op":">","value":1000000000}]' \ --columns NAME,PRICE,CHANGE_PERCENT,VOLUME \ --sort-by VOLUME --sort-order desc
# List available signals skills/tradingview-screener/.venv/bin/python3 skills/tradingview-screener/scripts/signal-engine.py --listRun a signal
skills/tradingview-screener/.venv/bin/python3 skills/tradingview-screener/scripts/signal-engine.py --signal golden-cross
| Class | Screener | Field Enum |
|---|---|---|
| stock | StockScreener | StockField |
| crypto | CryptoScreener | CryptoField |
| forex | ForexScreener | ForexField |
| bond | BondScreener | BondField |
| futures | FuturesScreener | FuturesField |
| coin | CoinScreener | CoinField |
| Type | Description | Key Params |
|---|---|---|
| crossover | Fast field crosses slow field | fast, slow, direction |
| threshold | Field crosses a value | field, op, value |
| expression | Pandas expression on DataFrame | expr |
| range | Field between min/max bounds | field, min, max |
>, >=, <, <=, ==, !=, between (value: [min, max]), isin (value: [...])
NAME, PRICE, CHANGE_PERCENT, VOLUME, MARKET_CAPITALIZATION, SECTOR,
SIMPLE_MOVING_AVERAGE_50, SIMPLE_MOVING_AVERAGE_200, RELATIVE_STRENGTH_INDEX_14,
MACD_LEVEL_12_26, AVERAGE_VOLUME_30_DAY
Use
StockField.search("keyword") in Python to discover more fields (13,000+ available).
| Signal | File | Description |
|---|---|---|
| Golden Cross | | SMA50 above SMA200 (bullish) |
| Oversold Bounce | | RSI < 30 + price rising |
| Volume Breakout | | Volume > 2x avg + momentum |
**Stock Screener** | 15 results | Sorted by VOLUME desc
NAME PRICE CHANGE_PERCENT VOLUME AAPL 185.50 2.3 80000000 ... Timeframes
,1,5,15,30,60,120,240,1D,1W1MPass
to apply hourly interval to technical indicators.--timeframe 60References
- API Guide - Screener types, filters, field discovery
- Signals Guide - YAML schema, signal type configs
- Strategy Templates - Pre-built screening strategies
- Field Presets - Common field groups per asset class
No automatic installation available. Please visit the source repository for installation instructions.
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