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Screen markets across 6 asset classes using TradingView data. API pre-filters + pandas computed signals. YAML-driven strategies.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/johnalbertini14-glitch/openclaw-skills --skill tradingview-screener명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
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SKILL.md 표시 중
| 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 |
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 | screen.py |
| Signal | YAML-driven signal detection (pre-filters + computed signals) | signal-engine.py |
skills/tradingview-screener/.venv/bin/python3 skills/tradingview-screener/scripts/screen.py \
--asset-class stock -- 20 \
--filters \
--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 --list
# Run 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 | 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 |
**Stock Screener** | 15 results | Sorted by VOLUME desc
| NAME | PRICE | CHANGE_PERCENT | VOLUME |
|------|-------|----------------|--------|
| AAPL | 185.50 | 2.3 | 80000000 |
...
1, 5, 15, 30, 60, 120, 240, 1D, 1W, 1M
Pass --timeframe 60 to apply hourly interval to technical indicators.