据 AlphaMoat 统计,截至 2026-09,TradingView Screener 累计下载 4,019 次、获 3 个星标,在全部 5,078 个 AI 技能中排名第 2,545 位,在「开发编程」分类(577 个)中排名第 335 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 131 | 4,019 | 3 | - |
各平台的计数口径不同,统计时间不一致。
可按筛选条件、字段、排序和限量执行市场扫描,也可运行由 YAML 定义的策略信号;技能说明无需认证。筛选条件和策略参数会进入 TradingView/tvscreener 数据链路,只提交可接受向该外部数据路径披露的输入。自定义 YAML 表达式会影响信号筛选行为,运行前应审阅。 筛选结果仅作研究参考,交易前应独立核实。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 4,019 | — | 3 |
| 2026-08 | 3,887 | +5.1% | 3 |
| 2026-07 | 3,697 | +9.3% | 3 |
| 2026-06 | 3,383 | — | 3 |
| 2026-03 | 2,425 | — | 3 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 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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数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。