How do I install the Sp500 Nasdaq Screener skill?

Run npx skillmds@latest add yonatangross/sp500-nasdaq-screener in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Sp500 Nasdaq Screener safe to use?

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Which AI agents work with Sp500 Nasdaq Screener?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Sp500 Nasdaq Screener free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Sp500 Nasdaq Screener?

yonatangross (@yonatangross) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Sp500 Nasdaq Screener by yonatangross

Name: Sp500 Nasdaq Screener
Author: yonatangross

Sp500 Nasdaq Screener

Screen the S&P 500 and NASDAQ-100 universe by technical and fundamental criteria to surface candidate stocks. Use when the user wants to filter or rank US stocks — 'S&P 500 names with RSI below 30', 'NASDAQ stocks above their 200-day average', oversold/overbought scans, or sector-relative screens. Returns a ranked table with the matched criteria per symbol. Do NOT use for single-symbol deep analysis (use global-stock-analysis) or Israeli TASE screening.

yonatangross Updated Sep 17, 2026

File contents

S&P 500 / NASDAQ Screener

Instructions

Step 1 — Load the universe

references/sp500-constituents.md and references/nasdaq100-constituents.md hold dated snapshots; scripts/provider.py parses them into the symbol list.

Step 2 — Parse the filter

Supported: indicator thresholds (RSI < 30), moving-average relations (price > EMA200), fundamentals (P/E < 15), sector filters. See references/screening-criteria.md.

Step 3 — Batch-compute per symbol

Run: python scripts/screen.py --index sp500 --filter "rsi<30" It batch-fetches EOD closes via scripts/provider.py (retry-with-backoff then raise; a symbol with no data is skipped, not faked) and computes RSI/EMA per symbol with scripts/indicators.py.

Step 4 — Rank and return

Table: symbol, matched criteria, the ranking metric, sector. Note the constituent-snapshot date.

Examples

User says: "S&P 500 names oversold on RSI, sorted by market cap" Result: ranked table of symbols with RSI < 30, largest first.

User says: "chart the 15 most-oversold NASDAQ-100 names" Result: the ranked table plus an optional interactive HTML bar chart (scripts/chart.py) — one accent-hued bar per symbol, direct-labelled with the RSI value, with per-bar hover and a table view.

Visualization (optional)

A chart is produced only when it clarifies the answer or the user asks — never forced, never as ASCII. When it helps, scripts/chart.py renders a self-contained interactive HTML bar chart: the matched symbols ranked by the filter metric, one accent-hued (--s1) bar each with a direct symbol + value label, a recessive axis, per-bar hover, a table view, and a light/dark toggle. The ranked text table stays the primary output.

Gotchas

Constituent lists drift on rebalance — output notes the snapshot date.
A full 500-symbol scan is heavy; cap and cache.

Troubleshooting

Error: "Scan too slow / rate limited"

Cause: per-symbol live calls across the whole universe. Solution: batch, cache EOD locally, cap universe size per query.

Bundled Resources

scripts/screen.py — ranked JSON screen over an index universe (primary path).
scripts/provider.py — robust batch fetch + universe load + filter/rank.
scripts/indicators.py — pure-Python RSI/EMA/MACD used by the screen.
scripts/chart.py — optional interactive HTML ranked-bar chart.
scripts/viz.py — self-contained HTML/SVG chart generator (reused palette).
references/sp500-constituents.md, references/nasdaq100-constituents.md — dated snapshots.
references/screening-criteria.md — supported filter grammar.

---name: sp500-nasdaq-screenerdescription: Screen the S&P 500 and NASDAQ-100 universe by technical and fundamental criteria to surface candidate stocks. Use when the user wants to filter or rank US stocks — 'S&P 500 names with RSI below 30', 'NASDAQ stocks above their 200-day average', oversold/overbought scans, or sector-relative screens. Returns a ranked table with the matched criteria per symbol. Do NOT use for single-symbol deep analysis (use global-stock-analysis) or Israeli TASE screening.license: MIT---# S&P 500 / NASDAQ Screener## Instructions### Step 1 — Load the universereferences/sp500-constituents.md and references/nasdaq100-constituents.md holddated snapshots; scripts/provider.py parses them into the symbol list.### Step 2 — Parse the filterSupported: indicator thresholds (RSI < 30), moving-average relations(price > EMA200), fundamentals (P/E < 15), sector filters. Seereferences/screening-criteria.md.### Step 3 — Batch-compute per symbolRun: python scripts/screen.py --index sp500 --filter "rsi<30"It batch-fetches EOD closes via scripts/provider.py (retry-with-backoff thenraise; a symbol with no data is skipped, not faked) and computes RSI/EMA persymbol with scripts/indicators.py.### Step 4 — Rank and returnTable: symbol, matched criteria, the ranking metric, sector. Note theconstituent-snapshot date.## ExamplesUser says: "S&P 500 names oversold on RSI, sorted by market cap"Result: ranked table of symbols with RSI < 30, largest first.User says: "chart the 15 most-oversold NASDAQ-100 names"Result: the ranked table plus an optional interactive HTML bar chart(scripts/chart.py) — one accent-hued bar per symbol, direct-labelled with theRSI value, with per-bar hover and a table view.## Visualization (optional)A chart is produced only when it clarifies the answer or the user asks — neverforced, never as ASCII. When it helps, scripts/chart.py renders aself-contained interactive HTML bar chart: the matched symbols ranked by thefilter metric, one accent-hued (--s1) bar each with a direct symbol + valuelabel, a recessive axis, per-bar hover, a table view, and a light/dark toggle.The ranked text table stays the primary output.## Gotchas- Constituent lists drift on rebalance — output notes the snapshot date.- A full 500-symbol scan is heavy; cap and cache.## Troubleshooting### Error: "Scan too slow / rate limited"Cause: per-symbol live calls across the whole universe.Solution: batch, cache EOD locally, cap universe size per query.## Bundled Resources- scripts/screen.py — ranked JSON screen over an index universe (primary path).- scripts/provider.py — robust batch fetch + universe load + filter/rank.- scripts/indicators.py — pure-Python RSI/EMA/MACD used by the screen.- scripts/chart.py — optional interactive HTML ranked-bar chart.- scripts/viz.py — self-contained HTML/SVG chart generator (reused palette).- references/sp500-constituents.md, references/nasdaq100-constituents.md — dated snapshots.- references/screening-criteria.md — supported filter grammar.

Frequently asked questions