finviz-screener

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name: finviz-screener description: Build and open FinViz screener URLs from natural language requests. Use when user wants to screen stocks, find stocks matching criteria, filter by fundamentals or technicals, or asks to open FinViz with specific conditions. Supports both Japanese and English input (e.g., "高配当で成長している小型株を探したい", "Find oversold large caps with high ROE").

FinViz Screener

Overview

Translate natural-language stock screening requests into FinViz screener filter codes, build the URL, and open it in Chrome. No API key required for public screener; FINVIZ Elite is auto-detected from $FINVIZ_API_KEY for enhanced functionality.

Key Features:

• Natural language → filter code mapping (Japanese + English)
• URL construction with view type and sort order selection
• Elite/Public auto-detection (environment variable or explicit flag)
• Chrome-first browser opening with OS-appropriate fallbacks
• Strict filter validation to prevent URL injection

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When to Use This Skill

Explicit Triggers:

• "高配当で成長している小型株を探したい"
• "Find oversold large caps near 52-week lows"
• "テクノロジーセクターの割安株をスクリーニングしたい"
• "Screen for stocks with insider buying"
• "FinVizでブレイクアウト候補を表示して"
• "Show me high-growth small caps on FinViz"
• "配当利回り5%以上でROE15%以上の銘柄を探して"

Implicit Triggers:

• User describes stock screening criteria using fundamental or technical terms
• User mentions FinViz screener or stock filtering
• User asks to find stocks matching specific financial characteristics

When NOT to Use:

• Deep fundamental analysis of a specific stock (use us-stock-analysis)
• Portfolio review with holdings (use portfolio-manager)
• Chart pattern analysis on images (use technical-analyst)
• Earnings-based screening (use earnings-trade-analyzer or pead-screener)

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Workflow

Step 1: Load Filter Reference

Read the filter knowledge base:

cat references/finviz_screener_filters.md

Step 2: Interpret User Request

Map the user's natural-language request to FinViz filter codes. Use the Common Concept Mapping table below for quick translation, and reference the full filter list for precise code selection.

Note: For range criteria (e.g., "dividend 3-8%", "P/E between 10 and 20"), use the {from}to{to} range syntax as a single filter token (e.g., fa_div_3to8, fa_pe_10to20) instead of combining separate _o and _u filters.

Common Concept Mapping:

User Concept (EN)	User Concept (JP)	Filter Codes
High dividend	高配当	fa_div_o3 or fa_div_o5
Small cap	小型株	cap_small
Mid cap	中型株	cap_mid
Large cap	大型株	cap_large
Mega cap	超大型株	cap_mega
Value / cheap	割安	fa_pe_u20,fa_pb_u2
Growth stock	成長株	fa_epsqoq_o25,fa_salesqoq_o15
Oversold	売られすぎ	ta_rsi_os30
Overbought	買われすぎ	ta_rsi_ob70
Near 52W high	52週高値付近	ta_highlow52w_b0to5h
Near 52W low	52週安値付近	ta_highlow52w_a0to5l
Breakout	ブレイクアウト	ta_highlow52w_b0to5h,sh_relvol_o1.5
Technology	テクノロジー	sec_technology
Healthcare	ヘルスケア	sec_healthcare
Energy	エネルギー	sec_energy
Financial	金融	sec_financial
Semiconductors	半導体	ind_semiconductors
Biotechnology	バイオテク	ind_biotechnology
US stocks	米国株	geo_usa
Profitable	黒字	fa_pe_profitable
High ROE	高ROE	fa_roe_o15 or fa_roe_o20
Low debt	低負債	fa_debteq_u0.5
Insider buying	インサイダー買い	sh_insidertrans_verypos
Short squeeze	ショートスクイーズ	sh_short_o20,sh_relvol_o2
Dividend growth	増配	fa_divgrowth_3yo10
Deep value	ディープバリュー	fa_pb_u1,fa_pe_u10
Momentum	モメンタム	ta_perf_13wup,ta_sma50_pa,ta_sma200_pa
Defensive	ディフェンシブ	ta_beta_u0.5 or sec_utilities,sec_consumerdefensive
Liquid / high volume	高出来高	sh_avgvol_o500 or sh_avgvol_o1000
Pullback from high	高値からの押し目	ta_highlow52w_10to30-bhx
Near 52W low reversal	安値圏リバーサル	ta_highlow52w_10to30-alx
Fallen angel	急落後反発	ta_highlow52w_b20to30h,ta_rsi_os40
AI theme	AIテーマ	--themes "artificialintelligence"
Cybersecurity theme	サイバーセキュリティ	--themes "cybersecurity"
AI + Cybersecurity	AI＆サイバーセキュリティ	--themes "artificialintelligence,cybersecurity"
AI Cloud sub-theme	AIクラウド	--subthemes "aicloud"
AI Compute sub-theme	AI半導体	--subthemes "aicompute"
Yield 3-8% (trap excluded)	配当3-8%（トラップ除外）	fa_div_3to8
Mid-range P/E	適正PER帯	fa_pe_10to20
EV undervalued	EV割安	fa_evebitda_u10
Earnings next week	来週決算	earningsdate_nextweek
IPO recent	直近IPO	ipodate_thismonth
Target price above	目標株価以上	targetprice_a20
Recent news	最新ニュースあり	news_date_today
High institutional	機関保有率高	sh_instown_o60
Low float	浮動株少	sh_float_u20
Near all-time high	史上最高値付近	ta_alltime_b0to5h
High ATR	高ボラティリティ	ta_averagetruerange_o1.5

Step 3: Present Filter Selection

Before executing, present the selected filters in a table for user confirmation:

| Type | Value | Meaning |
|---|---|---|
| Theme | artificialintelligence | Artificial Intelligence |
| Sub-theme | aicloud | AI - Cloud & Infrastructure |
| Filter | cap_small | Small Cap ($300M–$2B) |
| Filter | fa_div_o3 | Dividend Yield > 3% |
| Filter | fa_pe_u20 | P/E < 20 |
| Filter | geo_usa | USA |

View: Overview (v=111)
Mode: Public / Elite (auto-detected)

Ask the user to confirm or adjust before proceeding.

Step 4: Execute Script

Run the screener script to build the URL and open Chrome:

python3 scripts/open_finviz_screener.py \
  --filters "cap_small,fa_div_o3,fa_pe_u20,geo_usa" \
  --view overview

# Theme-only screening (no --filters required)
python3 scripts/open_finviz_screener.py \
  --themes "artificialintelligence,cybersecurity" \
  --url-only

# Theme + sub-theme + filters combined
python3 scripts/open_finviz_screener.py \
  --themes "artificialintelligence" \
  --subthemes "aicloud,aicompute" \
  --filters "cap_midover" \
  --url-only

Script arguments:

• --filters (optional): Comma-separated filter codes. Note: theme_* and subtheme_* tokens are not allowed here — use --themes / --subthemes instead.
• --themes (optional): Comma-separated theme slugs (e.g., artificialintelligence,cybersecurity). Accepts bare slugs or theme_-prefixed values.
• --subthemes (optional): Comma-separated sub-theme slugs (e.g., aicloud,aicompute). Accepts bare slugs or subtheme_-prefixed values.
• --elite: Force Elite mode (auto-detected from $FINVIZ_API_KEY if not set)
• --view: View type — overview, valuation, financial, technical, ownership, performance, custom
• --order: Sort order (e.g., -marketcap, dividendyield, -change)
• --url-only: Print URL without opening browser

At least one of --filters, --themes, or --subthemes must be provided.

Step 5: Report Results

After opening the screener, report:

1. The constructed URL
2. Elite or Public mode used
3. Summary of applied filters
4. Suggested next steps (e.g., "Sort by dividend yield", "Switch to Financial view for detailed ratios")

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Usage Recipes

Real-world screening patterns distilled from repeated use. Each recipe includes a starter filter set, recommended view, and tips for iterative refinement.

Recipe 1: High-Dividend Growth Stocks (Kanchi-Style)

Goal: High yield + dividend growth + earnings growth, excluding yield traps.

--filters "fa_div_3to8,fa_sales5years_pos,fa_eps5years_pos,fa_divgrowth_5ypos,fa_payoutratio_u60,geo_usa"
--view financial

Filter Code	Purpose
fa_div_3to8	Yield 3-8% (caps high-yield traps)
fa_sales5years_pos	Positive 5Y revenue growth
fa_eps5years_pos	Positive 5Y EPS growth
fa_divgrowth_5ypos	Positive 5Y dividend growth
fa_payoutratio_u60	Payout ratio < 60% (sustainability)
geo_usa	US-listed stocks

Iterative refinement: Start broad with fa_div_o3 → review results → add fa_div_3to8 to cap yield → add fa_payoutratio_u60 to exclude traps → switch to financial view for payout and growth columns.

Recipe 2: Minervini Trend Template + VCP

Goal: Stocks in a Stage 2 uptrend with volatility contraction (VCP setup).

--filters "ta_sma50_pa,ta_sma200_pa,ta_sma200_sb50,ta_highlow52w_0to25-bhx,ta_perf_26wup,sh_avgvol_o300,cap_midover"
--view technical

Filter Code	Purpose
ta_sma50_pa	Price above 50-day SMA
ta_sma200_pa	Price above 200-day SMA
ta_sma200_sb50	200 SMA below 50 SMA (uptrend)
ta_highlow52w_0to25-bhx	Within 25% of 52W high
ta_perf_26wup	Positive 26-week performance
sh_avgvol_o300	Avg volume > 300K
cap_midover	Mid cap and above

VCP tightening filters (add to narrow): ta_volatility_wo3,ta_highlow20d_b0to5h,sh_relvol_u1 — low weekly volatility, near 20-day high, below-average relative volume (contraction signal).

Recipe 3: Unfairly Sold-Off Growth Stocks

Goal: Fundamentally strong companies with recent sharp declines — potential mean reversion candidates.

--filters "fa_sales5years_o5,fa_eps5years_o10,fa_roe_o15,fa_salesqoq_pos,fa_epsqoq_pos,ta_perf_13wdown,ta_highlow52w_10to30-bhx,cap_large,sh_avgvol_o200"
--view overview

Filter Code	Purpose
fa_sales5years_o5	5Y sales growth > 5%
fa_eps5years_o10	5Y EPS growth > 10%
fa_roe_o15	ROE > 15%
fa_salesqoq_pos	Positive QoQ sales growth
fa_epsqoq_pos	Positive QoQ EPS growth
ta_perf_13wdown	Negative 13-week performance
ta_highlow52w_10to30-bhx	10-30% below 52W high
cap_large	Large cap
sh_avgvol_o200	Avg volume > 200K

After review: Switch to valuation view to check P/E and P/S for entry attractiveness.

Recipe 4: Turnaround Stocks

Goal: Companies with previously declining earnings now showing recovery — bottom-fishing with fundamental confirmation.

--filters "fa_eps5years_neg,fa_epsqoq_pos,fa_salesqoq_pos,ta_highlow52w_b30h,ta_perf_13wup,cap_smallover,sh_avgvol_o200"
--view performance

Filter Code	Purpose
fa_eps5years_neg	Negative 5Y EPS growth (prior decline)
fa_epsqoq_pos	Positive QoQ EPS growth (recovery)
fa_salesqoq_pos	Positive QoQ sales growth (recovery)
ta_highlow52w_b30h	Within 30% of 52W high (not at bottom)
ta_perf_13wup	Positive 13-week performance
cap_smallover	Small cap and above
sh_avgvol_o200	Avg volume > 200K

Recipe 5: Momentum Trade Candidates

Goal: Short-term momentum leaders near 52W highs with increasing volume.

--filters "ta_sma50_pa,ta_sma200_pa,ta_highlow52w_b0to3h,ta_perf_4wup,sh_relvol_o1.5,sh_avgvol_o1000,cap_midover"
--view technical

Filter Code	Purpose
ta_sma50_pa	Price above 50-day SMA
ta_sma200_pa	Price above 200-day SMA
ta_highlow52w_b0to3h	Within 3% of 52W high
ta_perf_4wup	Positive 4-week performance
sh_relvol_o1.5	Relative volume > 1.5x
sh_avgvol_o1000	Avg volume > 1M
cap_midover	Mid cap and above

Recipe 6: Theme Screening (AI + Sub-theme Drill-Down)

Goal: Find mid-cap+ AI stocks focused on cloud infrastructure and compute acceleration.

--themes "artificialintelligence"
--subthemes "aicloud,aicompute"
--filters "cap_midover"
--view overview

Type	Value	Purpose
Theme	artificialintelligence	AI theme universe
Sub-theme	aicloud	Cloud & Infrastructure vertical
Sub-theme	aicompute	Compute & Acceleration vertical
Filter	cap_midover	Mid cap and above

Multi-theme example: --themes "artificialintelligence,cybersecurity" selects stocks tagged with either theme (OR logic via | grouping).

Tips: Iterative Refinement Pattern

Screening works best as a dialogue, not a one-shot query:

1. Start broad — use 3-4 core filters to get an initial result set
2. Review count — if too many results (>100), add tightening filters; if too few (<5), relax constraints
3. Switch views — start with overview for a quick scan, then switch to financial or valuation for deeper inspection
4. Layer in technicals — after confirming fundamental quality, add ta_ filters to time entries
5. Save and iterate — bookmark the URL, then adjust one filter at a time to understand its impact

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Resources

• references/finviz_screener_filters.md — Complete filter code reference with natural language keywords (includes industry code examples; full 142-code list is in the Industry Codes section)
• scripts/open_finviz_screener.py — URL builder and Chrome opener