Name: TradingView Screener
Author: lukebaze

According to AlphaMoat, as of 2026-09, TradingView Screener has 4,019 downloads and 3 stars — ranked #2,545 of 5,078 AI skills overall, and #335 of 577 in Development.

Installs

131

Downloads

4.0K

Stars

Overall Rank

#2,545

Top 51% overall · Top 59% in Development

Platform	Installs	Downloads	Stars	Comments
ClawHub ↗	131	4.0K	3	-

Platforms count differently and update at different times.

What this skill does

Run market screens with filters, selected fields, sorting, and result limits, or use YAML-defined signal strategies; the skill states that no authentication is required. Filters and strategy parameters go through the TradingView/tvscreener data path, so submit only inputs acceptable to share with that external service. Review custom YAML expressions because they affect signal filtering. Treat screening results as research support and verify them independently before trading.

Profile published 2026-10-29

What you can do with it

Developers and analysts screening multiple market asset classes or running YAML signal strategies.

When to use it

Before submitting filters, confirm the parameters may be shared with the external market-data service. Review custom YAML expressions, fields, and operators before running them.

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Screen stocks using public market data and first explain which service receives the filters; do not provide a buy or sell recommendation.

Monthly Trend

Downloads4.0K

Stars3

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

Month	Downloads	MoM	Stars
2026-09	4.0K	—	3
2026-08	3.9K	+5.1%	3
2026-07	3.7K	+9.3%	3
2026-06	3.4K	—	3
2026-03	2.4K	—	3

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

3.8 KB · ClawHub v1.1.0

---
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.

Show all (121 lines)

## 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