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Feat/add comprehensive fields (#14)
* feat: Add comprehensive fundamental fields for advanced screening Add 19 new fields from TradingView API including enterprise value metrics, additional margin ratios, return metrics, and balance sheet data. New fields: - Margins: gross_margin_ttm, operating_margin_ttm, pre_tax_margin_ttm - Returns: return_on_assets, return_on_assets_fq, return_on_invested_capital_fq - Balance sheet: total_assets, total_debt, current_ratio - Valuation: enterprise_value_current, enterprise_value_to_ebit_ttm, enterprise_value_ebitda_ttm, price_earnings_growth_ttm, ebitda - Operating: research_and_dev_ratio_ttm, sell_gen_admin_exp_other_ratio_ttm Expands EXTENDED_COLUMNS from 17 to 31 fields for comprehensive analysis. Enables ~85% coverage of Swedish Investment Playbook requirements. Addresses user request for EV, EV/EBIT, EV/EBITDA, PEG metrics. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: Improve filter validation with helpful error messages Add comprehensive validation for filter objects to provide clearer error messages when filters are malformed: - Detect when filters are arrays instead of objects - Check for missing required properties (field, operator, value) - List valid operators in error messages - Show index of problematic filter for easier debugging Replaces unhelpful "Unknown operator: undefined" with specific guidance like "Invalid filter at index 0: expected object with {field, operator, value}, got object". Applies validation to all three screening methods: stocks, forex, crypto. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: Update documentation for comprehensive fields and column optimization Update README to reflect recent additions: - Field count: 50+ → 75+ fields - Add comprehensive valuation metrics feature (EV, EV/EBIT, PEG, etc.) - Add performance optimization feature (minimal 7 vs extended 35 columns) - Document quality_growth_screener returns 35 extended columns - Expand Common Fields section with 4 new subsections: - Valuation & Enterprise Value (EV, EV/EBIT, EV/EBITDA, PEG, EBITDA) - Margins & Profitability (gross, operating, pre-tax, FCF margins) - Returns & Efficiency (ROA, ROIC, R&D ratio, SG&A ratio) - Balance Sheet (total assets, total debt, current ratio) - Add columns parameter to screen_stocks documentation Ensures documentation accurately reflects all 19 new comprehensive fields and the column optimization feature. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>
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README.md

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## Features
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- 🔍 **Screen stocks, forex, and crypto** with advanced filters
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- 📊 **50+ fundamental, technical, and performance fields** with TTM/FQ/FY variants
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- 📊 **75+ fundamental, technical, and performance fields** with TTM/FQ/FY variants
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- 🎯 **6 preset strategies** (quality, value, dividend, momentum, growth, comprehensive)
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-**Configurable caching and rate limiting**
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-**Performance optimized** - minimal (7 fields) vs extended (35 fields) column sets
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- 💰 **Comprehensive valuation metrics** - EV, EV/EBIT, EV/EBITDA, PEG, margins, ROIC
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- 🔧 **Works with Claude Desktop and Claude Code**
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- 🏦 **Exchange filtering** (NASDAQ, NYSE, CBOE) and primary listing support
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@@ -174,6 +175,7 @@ Screen stocks based on filters.
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- `sort_by` - Field to sort by (default: `"market_cap_basic"`)
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- `sort_order` - `"asc"` or `"desc"` (default: `"desc"`)
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- `limit` - Number of results (1-200, default: 20)
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- `columns` - Optional array of columns to return (default: minimal 7 fields for performance)
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**Operators:**
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- `greater`, `less`, `greater_or_equal`, `less_or_equal`
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Comprehensive quality and growth screen combining fundamental strength, growth momentum, financial stability, and technical uptrend. Primary listings only on major US exchanges.
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**Returns 35 extended columns** including enterprise value metrics, margins (gross, operating, pre-tax), returns (ROA, ROIC), balance sheet data, and R&D ratios for deep fundamental analysis.
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**16-Filter Criteria:**
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**Price & Size:**
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## Common Fields
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### Fundamental
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### Fundamental - Core Metrics
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- `return_on_equity` - ROE (%)
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- `price_earnings_ttm` - P/E Ratio
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- `price_book_fq` - P/B Ratio
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- `market_cap_basic` - Market Capitalization
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- `dividend_yield_recent` - Dividend Yield (%)
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### Fundamental - Valuation & Enterprise Value
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- `enterprise_value_current` - Enterprise Value (Market Cap + Debt - Cash)
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- `enterprise_value_to_ebit_ttm` - EV/EBIT Ratio
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- `enterprise_value_ebitda_ttm` - EV/EBITDA Ratio
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- `price_earnings_growth_ttm` - PEG Ratio (P/E to Growth)
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- `ebitda` - Earnings Before Interest, Taxes, Depreciation & Amortization
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### Fundamental - Margins & Profitability
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- `gross_margin_ttm` - Gross Margin (%)
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- `operating_margin_ttm` - Operating Margin (%)
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- `pre_tax_margin_ttm` - Pre-Tax Margin (%)
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- `free_cash_flow_margin_ttm` - FCF Margin (%)
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### Fundamental - Returns & Efficiency
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- `return_on_assets` / `return_on_assets_fq` - ROA (%)
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- `return_on_invested_capital_fq` - ROIC (%)
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- `research_and_dev_ratio_ttm` - R&D as % of Revenue
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- `sell_gen_admin_exp_other_ratio_ttm` - SG&A as % of Revenue
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### Fundamental - Balance Sheet
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- `total_assets` - Total Company Assets
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- `total_debt` - Total Company Debt
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- `current_ratio` - Current Assets / Current Liabilities
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### Technical
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- `RSI` - Relative Strength Index (14)
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- `SMA50` - 50-day Simple Moving Average

src/tools/fields.ts

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@@ -98,6 +98,125 @@ const STOCK_FIELDS: FieldMetadata[] = [
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type: "percent",
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description: "Operating income as percentage of revenue",
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},
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{
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name: "operating_margin_ttm",
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label: "Operating Margin (TTM)",
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category: "fundamental",
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type: "percent",
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description: "Operating income as percentage of revenue (trailing twelve months)",
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},
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{
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name: "gross_margin",
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label: "Gross Margin",
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category: "fundamental",
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type: "percent",
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description: "Gross profit as percentage of revenue",
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},
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{
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name: "gross_margin_ttm",
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label: "Gross Margin (TTM)",
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category: "fundamental",
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type: "percent",
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description: "Gross profit as percentage of revenue (trailing twelve months)",
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},
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{
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name: "pre_tax_margin_ttm",
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label: "Pre-Tax Margin (TTM)",
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category: "fundamental",
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type: "percent",
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description: "Pre-tax profit as percentage of revenue (trailing twelve months)",
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},
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{
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name: "return_on_assets",
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label: "Return on Assets",
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category: "fundamental",
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type: "percent",
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description: "Net income relative to total assets",
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},
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{
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name: "return_on_assets_fq",
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label: "Return on Assets (FQ)",
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category: "fundamental",
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type: "percent",
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description: "Net income relative to total assets (fiscal quarter)",
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},
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{
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name: "return_on_invested_capital_fq",
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label: "Return on Invested Capital (FQ)",
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category: "fundamental",
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type: "percent",
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description: "Return on total invested capital (fiscal quarter)",
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},
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{
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name: "research_and_dev_ratio_ttm",
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label: "R&D Ratio (TTM)",
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category: "fundamental",
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type: "percent",
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description: "Research and development expenses as percentage of revenue (trailing twelve months)",
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},
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{
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name: "sell_gen_admin_exp_other_ratio_ttm",
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label: "SG&A Ratio (TTM)",
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category: "fundamental",
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type: "percent",
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description: "Selling, general and administrative expenses as percentage of revenue (trailing twelve months)",
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},
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{
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name: "total_assets",
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label: "Total Assets",
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category: "fundamental",
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type: "currency",
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description: "Total company assets",
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},
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{
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name: "total_debt",
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label: "Total Debt",
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category: "fundamental",
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type: "currency",
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description: "Total company debt",
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},
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{
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name: "current_ratio",
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label: "Current Ratio",
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category: "fundamental",
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type: "number",
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description: "Current assets divided by current liabilities (liquidity measure)",
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},
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{
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name: "enterprise_value_current",
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label: "Enterprise Value",
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category: "fundamental",
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type: "currency",
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description: "Market cap plus debt minus cash",
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},
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{
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name: "enterprise_value_to_ebit_ttm",
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label: "EV/EBIT (TTM)",
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category: "fundamental",
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type: "number",
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description: "Enterprise value to EBIT ratio (trailing twelve months)",
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},
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{
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name: "enterprise_value_ebitda_ttm",
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label: "EV/EBITDA (TTM)",
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category: "fundamental",
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type: "number",
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description: "Enterprise value to EBITDA ratio (trailing twelve months)",
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},
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{
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name: "price_earnings_growth_ttm",
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label: "PEG Ratio (TTM)",
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category: "fundamental",
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type: "number",
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description: "Price/earnings to growth ratio (trailing twelve months)",
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},
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{
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name: "ebitda",
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label: "EBITDA",
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category: "fundamental",
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type: "currency",
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description: "Earnings before interest, taxes, depreciation and amortization",
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},
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{
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name: "dividend_yield_recent",
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label: "Dividend Yield",

src/tools/screen.ts

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// Extended columns for comprehensive analysis
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export const EXTENDED_COLUMNS = [
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...DEFAULT_COLUMNS,
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// Cash flow & margins
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"free_cash_flow_ttm",
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"free_cash_flow_margin_ttm",
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"gross_margin",
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"gross_margin_ttm",
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"operating_margin_ttm",
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"pre_tax_margin_ttm",
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// Returns & efficiency
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"return_on_assets",
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"return_on_assets_fq",
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"return_on_invested_capital_fq",
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// Balance sheet
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"total_assets",
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"total_debt",
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"current_ratio",
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// Valuation
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"enterprise_value_current",
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"enterprise_value_to_ebit_ttm",
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"enterprise_value_ebitda_ttm",
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"price_earnings_growth_ttm",
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"ebitda",
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// Operating metrics
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"research_and_dev_ratio_ttm",
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"sell_gen_admin_exp_other_ratio_ttm",
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// Earnings & growth
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"earnings_release_next_trading_date_fq",
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"fundamental_currency_code",
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"earnings_per_share_diluted_yoy_growth_ttm",
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// Dividends
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"dividends_yield_current",
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"dividend_payout_ratio_ttm",
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// Risk & classification
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"beta_1_year",
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"beta_5_year",
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"sector",
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"industry",
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"earnings_per_share_diluted_yoy_growth_ttm",
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"fundamental_currency_code",
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];
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export class ScreenTool {
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}
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// Convert filters to TradingView format
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const tvFilters: Filter[] = filters.map((f) => {
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const tvFilters: Filter[] = filters.map((f, index) => {
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// Validate filter structure
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if (!f || typeof f !== 'object' || Array.isArray(f)) {
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throw new Error(`Invalid filter at index ${index}: expected object with {field, operator, value}, got ${typeof f}`);
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}
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if (!f.field || !f.operator || f.value === undefined) {
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throw new Error(`Invalid filter at index ${index}: missing required properties (field: ${f.field}, operator: ${f.operator}, value: ${f.value})`);
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}
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const operation = OPERATOR_MAP[f.operator];
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if (!operation) {
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throw new Error(`Unknown operator: ${f.operator}`);
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throw new Error(`Unknown operator: ${f.operator}. Valid operators: ${Object.keys(OPERATOR_MAP).join(', ')}`);
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}
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return {
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const cached = this.cache.get(cacheKey);
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if (cached) return cached;
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const tvFilters: Filter[] = filters.map((f) => {
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const tvFilters: Filter[] = filters.map((f, index) => {
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// Validate filter structure
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if (!f || typeof f !== 'object' || Array.isArray(f)) {
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throw new Error(`Invalid filter at index ${index}: expected object with {field, operator, value}, got ${typeof f}`);
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}
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if (!f.field || !f.operator || f.value === undefined) {
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throw new Error(`Invalid filter at index ${index}: missing required properties (field: ${f.field}, operator: ${f.operator}, value: ${f.value})`);
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}
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const operation = OPERATOR_MAP[f.operator];
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if (!operation) {
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throw new Error(`Unknown operator: ${f.operator}`);
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throw new Error(`Unknown operator: ${f.operator}. Valid operators: ${Object.keys(OPERATOR_MAP).join(', ')}`);
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}
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return {
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const cached = this.cache.get(cacheKey);
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if (cached) return cached;
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const tvFilters: Filter[] = filters.map((f) => {
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const tvFilters: Filter[] = filters.map((f, index) => {
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// Validate filter structure
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if (!f || typeof f !== 'object' || Array.isArray(f)) {
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throw new Error(`Invalid filter at index ${index}: expected object with {field, operator, value}, got ${typeof f}`);
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}
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if (!f.field || !f.operator || f.value === undefined) {
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throw new Error(`Invalid filter at index ${index}: missing required properties (field: ${f.field}, operator: ${f.operator}, value: ${f.value})`);
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}
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const operation = OPERATOR_MAP[f.operator];
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if (!operation) {
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throw new Error(`Unknown operator: ${f.operator}`);
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throw new Error(`Unknown operator: ${f.operator}. Valid operators: ${Object.keys(OPERATOR_MAP).join(', ')}`);
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}
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return {

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