| name | tradingview-screener |
| description | Screen markets across 6 asset classes using TradingView data. API pre-filters + pandas computed signals. YAML-driven strategies. |
| version | 1.1.0 |
TradingView Screener
Screen stocks, crypto, forex, bonds, futures, and coins using TradingView's market data. Zero auth required.
Setup (Run Once)
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.
Execution
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]
Modes
| Mode | Description | Script |
|---|
| Screen | One-time scan with filters, columns, sort | screen.py |
| Signal | YAML-driven signal detection (pre-filters + computed signals) | signal-engine.py |
Quick Start
Screen Mode
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
Signal Mode
skills/tradingview-screener/.venv/bin/python3 skills/tradingview-screener/scripts/signal-engine.py --list
skills/tradingview-screener/.venv/bin/python3 skills/tradingview-screener/scripts/signal-engine.py --signal golden-cross
Asset Classes
| Class | Screener | Field Enum |
|---|
| stock | StockScreener | StockField |
| crypto | CryptoScreener | CryptoField |
| forex | ForexScreener | ForexField |
| bond | BondScreener | BondField |
| futures | FuturesScreener | FuturesField |
| coin | CoinScreener | CoinField |
Signal Types (Computed)
| 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 |
Filter Operators
>, >=, <, <=, ==, !=, between (value: [min, max]), isin (value: [...])
Common Stock Fields
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).
Pre-built Signals
| Signal | File | Description |
|---|
| Golden Cross | state/signals/golden-cross.yaml | SMA50 above SMA200 (bullish) |
| Oversold Bounce | state/signals/oversold-bounce.yaml | RSI < 30 + price rising |
| Volume Breakout | state/signals/volume-breakout.yaml | Volume > 2x avg + momentum |
Output Format
**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, 1W, 1M
Pass --timeframe 60 to apply hourly interval to technical indicators.
References
