據 AlphaMoat 統計,截至 2026-09,TradingView Screener 累計下載 4,019 次、獲 3 個星標,在全部 5,078 個 AI 技能中排名第 2,545 位,在「開發程式設計」分類(577 個)中排名第 335 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 131 | 4019 | 3 | - |
各平台的計數口徑不同,統計時間不一致。
可按篩選條件、欄位、排序和限量執行市場掃描,也可執行由 YAML 定義的策略訊號;技能說明無需認證。篩選條件和策略引數會進入 TradingView/tvscreener 資料鏈路,只提交可接受向該外部資料路徑披露的輸入。自定義 YAML 表示式會影響訊號篩選行為,執行前應審閱。 篩選結果僅作研究參考,交易前應獨立核實。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4019 | — | 3 |
| 2026-08 | 3887 | +5.1% | 3 |
| 2026-07 | 3697 | +9.3% | 3 |
| 2026-06 | 3383 | — | 3 |
| 2026-03 | 2425 | — | 3 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
--- 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
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:
```bash
skills/tradingview-screener/.venv/bin/python3 skills/tradingview-screener/scripts/<script>.py [args]
```
**Windows:**
```bash
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
```bash
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
```bash
# 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
```
## 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
```markdown
**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
- [API Guide](references/tvscreener-api-guide.md) - Screener types, filters, field discovery
- [Signals Guide](references/computed-signals-guide.md) - YAML schema, signal type configs
- [Strategy Templates](references/strategy-templates.md) - Pre-built screening strategies
- [Field Presets](references/field-presets.md) - Common field groups per asset class
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資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。