phase-9: domain-driven architecture complete

- Restructured server layer with 5 domains: shared, screener, portfolio, calls, finance
- Migrated 58 TypeScript files to domain-driven structure
- Updated CLAUDE.md with new architecture documentation
- Added .gitignore rules for .md files (except CLAUDE.md)
- Removed unused CatalystAnalyst import from app.ts
- Fixed lint errors: removed unused imports, fixed regex escape, added console suppressions
- Verified no sensitive data in git history
- Server code compiles cleanly with TypeScript strict mode

server/domains/shared/services/LLMAnalyst.ts

@@ -0,0 +1,67 @@
+import { readFileSync } from 'fs';
+import { join } from 'path';
+import { fileURLToPath } from 'url';
+import { AnthropicClient } from '../adapters/AnthropicClient';
+import type { Logger, LLMAnalysis, Story } from '../types/index';
+
+export class LLMAnalyst {
+  private logger: Pick<Logger, 'log' | 'warn'>;
+  private client: AnthropicClient;
+
+  constructor({ logger }: { logger?: Pick<Logger, 'log' | 'warn'> } = {}) {
+    // eslint-disable-next-line no-console
+    this.logger = logger ?? { log: console.log, warn: console.warn };
+    this.client = new AnthropicClient();
+  }
+
+  get isAvailable(): boolean {
+    return this.client.isAvailable;
+  }
+
+  async analyze(
+    stories: Story[],
+    existingTickers: string[] = [],
+    tickerFrequency: Record<string, number> = {},
+  ): Promise<LLMAnalysis | null> {
+    if (!this.client.isAvailable) {
+      this.logger.warn('LLMAnalyst: ANTHROPIC_API_KEY not set — skipping analysis');
+      return null;
+    }
+    if (!stories?.length) return null;
+
+    const headlines = stories
+      .slice(0, 15)
+      .map((s, i) => {
+        const tickers = s.tickers.length ? ` [${s.tickers.join(', ')}]` : '';
+        return `${i + 1}. ${s.title} (${s.source})${tickers}`;
+      })
+      .join('\n');
+
+    const freqLines = Object.entries(tickerFrequency)
+      .sort(([, a], [, b]) => b - a)
+      .slice(0, 10)
+      .map(([t, n]) => `  ${t}: ${n} ${n === 1 ? 'story' : 'stories'}`)
+      .join('\n');
+
+    const freqSection = freqLines ? `\nTicker mention frequency (ranked):\n${freqLines}\n` : '';
+
+    const userMessage = `Today's market news headlines:\n\n${headlines}\n${freqSection}\nAlready identified catalyst tickers: ${existingTickers.join(', ') || 'none'}`;
+
+    try {
+      const PROMPT_FILE = '../../prompts/llm-analyst.md';
+      const PROMPT_PATH = join(fileURLToPath(import.meta.url), PROMPT_FILE);
+      const SYSTEM_PROMPT = readFileSync(PROMPT_PATH, 'utf8');
+
+      const raw = await this.client.complete(SYSTEM_PROMPT, userMessage);
+      if (!raw) return null;
+      const cleaned = raw
+        .replace(/^```(?:json)?\s*/i, '')
+        .replace(/```\s*$/i, '')
+        .trim();
+      return JSON.parse(cleaned) as LLMAnalysis;
+    } catch (err) {
+      this.logger.warn('LLMAnalyst: analysis failed —', (err as Error).message);
+      return null;
+    }
+  }
+}