chore: api implementation, links pages

Author: rajshekharbind

src/quant_research_starter/frontend/cauweb/src/utils/api.js

@@ -0,0 +1,45 @@
+export const api = {
+    async runBacktest(config) {
+        // Simulate API call
+        await new Promise(resolve => setTimeout(resolve, 2000));
+        return {
+            metrics: {
+                totalReturn: 0.2345,
+                annualizedReturn: 0.0876,
+                volatility: 0.1567,
+                sharpeRatio: 1.234,
+                maxDrawdown: 0.1234,
+                winRate: 0.645,
+                turnover: 2.34
+            },
+            portfolioSnapshots: generateDemoSnapshots(),
+            trades: []
+        };
+    },
+    async getAssets() {
+        return [
+            { symbol: 'AAPL', name: 'Apple Inc.', sector: 'Technology', marketCap: 2800000000000, price: 182.63 },
+            { symbol: 'MSFT', name: 'Microsoft Corp.', sector: 'Technology', marketCap: 2750000000000, price: 370.73 },
+            { symbol: 'GOOGL', name: 'Alphabet Inc.', sector: 'Technology', marketCap: 1750000000000, price: 138.21 },
+            { symbol: 'AMZN', name: 'Amazon.com Inc.', sector: 'Consumer', marketCap: 1500000000000, price: 145.18 },
+            { symbol: 'TSLA', name: 'Tesla Inc.', sector: 'Consumer', marketCap: 750000000000, price: 238.83 }
+        ];
+    }
+};
+function generateDemoSnapshots() {
+    const snapshots = [];
+    let value = 100000;
+    const startDate = new Date('2020-01-01');
+    for (let i = 0; i < 100; i++) {
+        const date = new Date(startDate);
+        date.setDate(date.getDate() + i * 7);
+        value *= 1 + (Math.random() - 0.45) * 0.02;
+        snapshots.push({
+            timestamp: date.toISOString(),
+            totalValue: value,
+            cash: 10000,
+            holdingsValue: value - 10000
+        });
+    }
+    return snapshots;
+}

src/quant_research_starter/frontend/cauweb/src/utils/api.ts

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+// Mock API functions for development
+export interface BacktestMetrics {
+  totalReturn: number;
+  annualizedReturn: number;
+  volatility: number;
+  sharpeRatio: number;
+  maxDrawdown: number;
+  winRate: number;
+  turnover: number;
+}
+
+export interface BacktestResult {
+  metrics: BacktestMetrics;
+  portfolioSnapshots: any[];
+  trades: any[];
+}
+
+export const api = {
+  async runBacktest(config: any): Promise<BacktestResult> {
+    // Simulate API call
+    await new Promise(resolve => setTimeout(resolve, 2000));
+    
+    return {
+      metrics: {
+        totalReturn: 0.2345,
+        annualizedReturn: 0.0876,
+        volatility: 0.1567,
+        sharpeRatio: 1.234,
+        maxDrawdown: 0.1234,
+        winRate: 0.645,
+        turnover: 2.34
+      },
+      portfolioSnapshots: generateDemoSnapshots(),
+      trades: []
+    };
+  },
+
+  async getAssets(): Promise<any[]> {
+    return [
+      { symbol: 'AAPL', name: 'Apple Inc.', sector: 'Technology', marketCap: 2800000000000, price: 182.63 },
+      { symbol: 'MSFT', name: 'Microsoft Corp.', sector: 'Technology', marketCap: 2750000000000, price: 370.73 },
+      { symbol: 'GOOGL', name: 'Alphabet Inc.', sector: 'Technology', marketCap: 1750000000000, price: 138.21 },
+      { symbol: 'AMZN', name: 'Amazon.com Inc.', sector: 'Consumer', marketCap: 1500000000000, price: 145.18 },
+      { symbol: 'TSLA', name: 'Tesla Inc.', sector: 'Consumer', marketCap: 750000000000, price: 238.83 }
+    ];
+  }
+};
+
+function generateDemoSnapshots() {
+  const snapshots = [];
+  let value = 100000;
+  const startDate = new Date('2020-01-01');
+  
+  for (let i = 0; i < 100; i++) {
+    const date = new Date(startDate);
+    date.setDate(date.getDate() + i * 7);
+    value *= 1 + (Math.random() - 0.45) * 0.02;
+    
+    snapshots.push({
+      timestamp: date.toISOString(),
+      totalValue: value,
+      cash: 10000,
+      holdingsValue: value - 10000
+    });
+  }
+  
+  return snapshots;
+}