By Subway-chenyanUpdated 2026-05-17tvscreener@clawhub_subway-chenyan/tvscreener
Finance
According to AlphaMoat, as of 2026-09, Tvscreener has 2,775 downloads and 0 stars — ranked #3,892 of 5,078 AI skills overall, and #326 of 465 in Professional.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 82 | 2.8K | - | - |
| SkillHub ↗ | 208 | 2.8K | - | — |
Platforms count differently and update at different times.
It serves stock lookup, technical indicators (price, change, RSI, MACD, volume), symbol filtering, and custom field/filter market queries. Install with python3 -m pip install -U tvscreener; Python must be >=3.10. Three script entry points: query_symbol.py for a preset single-symbol technical snapshot (e.g., --symbol HKEX:700 --market HONGKONG), run_query.sh for custom field and filter combinations, and discover_fields.py for keyword-based field discovery. The core indicator set covers PRICE, CHANGE_PERCENT, VOLUME, RELATIVE_STRENGTH_INDEX_14, the MACD(12/26) triple, SMA/EMA 20/50/200, Bollinger bands, stochastic %K/%D, AVERAGE_TRUE_RANGE_14, and the moving-averages rating; filters support =, !=, >, <, >=, and <=. Known caveat: interval fields like FIELD|60 can raise FieldWithInterval attribute errors in custom_query.py on some tvscreener versions, worked around by dropping interval fields or using query_symbol.py. Troubleshooting covers ImportError from mismatched Python environments and shell misparsing of unquoted pipes. The regression test covers Tencent (HK), Moutai (A), A-share ETF 510300, and BIDU (US). The accompanying skill-card warns that shell wrappers can silently install or upgrade an unpinned Python package at runtime, so it should run in an isolated virtual environment with auto-install lines reviewed and pinned requirements preferred.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
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 | 2.8K | — | - |
| 2026-08 | 2.6K | +6.5% | - |
| 2026-07 | 2.5K | +13.3% | - |
| 2026-06 | 2.2K | +8.3% | - |
| 2026-05 | 2.0K | — | - |
| 2026-03 | 1.4K | — | - |
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.
--- name: tvscreener description: Query TradingView screener data for HK, A-share, A-share ETF, and US symbols with deepentropy/tvscreener. Use for stock lookup, technical indicators (price/change/RSI/MACD/volume), symbol filtering, and custom field/filter-based market queries. --- # tvscreener Use this skill for market queries with simple scripts first, then native Python when needed. ## Install
```bash
python3 -m pip install -U tvscreener
```
Python must be `>=3.10`.
## Quick commands (run from skill root)
> Use Python 3.10+ in your preferred environment (venv/pyenv/system Python).
```bash
# Preset single-symbol output (recommended)
python3 scripts/query_symbol.py --symbol HKEX:700 --market HONGKONG
# Custom query (fields + filters)
bash scripts/run_query.sh \
--market CHINA \
--symbol SHSE:600519 \
--fields 'NAME,PRICE,CHANGE_PERCENT,VOLUME,RELATIVE_STRENGTH_INDEX_14,MACD_LEVEL_12_26,MACD_SIGNAL_12_26,MACD_HIST,SIMPLE_MOVING_AVERAGE_20,SIMPLE_MOVING_AVERAGE_50,SIMPLE_MOVING_AVERAGE_200,EXPONENTIAL_MOVING_AVERAGE_20,EXPONENTIAL_MOVING_AVERAGE_50,EXPONENTIAL_MOVING_AVERAGE_200,BOLLINGER_UPPER_BAND_20,BOLLINGER_LOWER_BAND_20,STOCHASTIC_PERCENTK_14_3_3,STOCHASTIC_PERCENTD_14_3_3,AVERAGE_TRUE_RANGE_14,MOVING_AVERAGES_RATING' \
--filter 'NAME=600519'
# Field discovery
python3 scripts/discover_fields.py --keyword macd --limit 20
```
### Shell quoting notes
- Wrap `--fields` and `--filter` in single quotes.
- If you use interval syntax like `FIELD|60`, quoting is mandatory to avoid shell pipe parsing.
## Query rules
- Core technical set (recommended): `PRICE`, `CHANGE_PERCENT`, `VOLUME`, `RELATIVE_STRENGTH_INDEX_14`, `MACD_LEVEL_12_26`, `MACD_SIGNAL_12_26`, `MACD_HIST`, `SIMPLE_MOVING_AVERAGE_20/50/200`, `EXPONENTIAL_MOVING_AVERAGE_20/50/200`, `BOLLINGER_UPPER_BAND_20`, `BOLLINGER_LOWER_BAND_20`, `STOCHASTIC_PERCENTK_14_3_3`, `STOCHASTIC_PERCENTD_14_3_3`, `AVERAGE_TRUE_RANGE_14`, `MOVING_AVERAGES_RATING`
- Interval fields syntax: `FIELD|60` / `FIELD|240` (example: `RELATIVE_STRENGTH_INDEX_14|60`)
- **Current caveat**: interval fields may fail in `scripts/custom_query.py` with `FieldWithInterval` attribute errors in some tvscreener versions.
- Workaround: run without interval fields, or use `scripts/query_symbol.py` for stable single-symbol technical snapshots.
- Filters: `=`, `!=`, `>`, `<`, `>=`, `<=`
## Troubleshooting
- `ImportError: cannot import name 'Market' from 'tvscreener'`
- Usually caused by mismatched Python/site-packages or multiple Python environments.
- Fix: ensure commands and installation use the same Python (3.10+), then reinstall:
- `python3 -m pip install -U tvscreener`
- `zsh: command not found: 60,...`
- Cause: unquoted `FIELD|60` interpreted as shell pipes.
- Fix: single-quote the full `--fields` string.
## References
- Workflow + patterns: `references/README_USAGE.md`
- API details:
- `references/api/screeners.md`
- `references/api/fields.md`
- `references/api/filters.md`
- `references/api/enums.md`
If scripts are insufficient, read references and write direct Python using tvscreener native API.
## Regression test
```bash
bash scripts/test_markets.sh
```
Covers Tencent (HK), Moutai (A), A-share ETF (510300), and BIDU (US).
A data-interface skill that pulls A-share quotes, financials, and sector data through the AkShare library.
Query Eastmoney financial data in natural language and get Excel plus Markdown tables back.
Help organize China-patent materials, search questions, and technical-disclosure drafts.
Financial data skill: query structured market data via the westock CLI.
A local-first market research skill that reads Yahoo Finance data for quotes and fundamentals and renders charts with technical panels.
A valuation analysis skill for A-share and Hong Kong stocks built on a value investing framework.
A script for A-share quotes, intraday volume breakdowns, and portfolio tracking.
Watch watchlist quotes and technical indicators, then push alerts ranked by severity when conditions fire.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.