Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Screen markets across 6 asset classes using TradingView data. API pre-filters + pandas computed signals. YAML-driven strategies.
Screen markets across 6 asset classes using TradingView data. API pre-filters + pandas computed signals. YAML-driven strategies.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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]
ModeDescriptionScriptScreenOne-time scan with filters, columns, sortscreen.pySignalYAML-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 --limit 20 \ --filters '[{"field":"MARKET_CAPITALIZATION","op":">","value":1000000000}]' \ --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
ClassScreenerField EnumstockStockScreenerStockFieldcryptoCryptoScreenerCryptoFieldforexForexScreenerForexFieldbondBondScreenerBondFieldfuturesFuturesScreenerFuturesFieldcoinCoinScreenerCoinField
TypeDescriptionKey ParamscrossoverFast field crosses slow fieldfast, slow, directionthresholdField crosses a valuefield, op, valueexpressionPandas expression on DataFrameexprrangeField between min/max boundsfield, 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).
SignalFileDescriptionGolden Crossstate/signals/golden-cross.yamlSMA50 above SMA200 (bullish)Oversold Bouncestate/signals/oversold-bounce.yamlRSI < 30 + price risingVolume Breakoutstate/signals/volume-breakout.yamlVolume > 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.
API Guide - Screener types, filters, field discovery Signals Guide - YAML schema, signal type configs Strategy Templates - Pre-built screening strategies Field Presets - Common field groups per asset class
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.