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TradingView Screener

该 Skill 通过本地 venv 运行 Python 脚本，调用 TradingView 零鉴权行情数据，按 6 类资产（股票/加密/外汇/债券/期货/代币）执行带过滤、列与排序的一次性筛选，或以 YAML 定义的交叉、阈值、表达式、区间信号做二次计算，输出 Markdown 结果表。

lukebaze
lukebaze
热度 98.44
最近更新 2026-05-11 15:57:11
分类：数据依赖：代码执行 / 读写文件 / 第三方 API应用场景：市场分析 / 财务 / 报告撰写 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add tradingview-screener
Metadata
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

# 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

**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