[V0_FILE]typescriptreact:file="lib/types.ts" export interface GameResult { number: number color: "red" | "green" | "violet" size: "big" | "small" premium: number timestamp: number period: string } export interface ApiResponse { data: { list: Array<{ number: number colour: string premium: number createTime: number period: string }> } success: boolean message?: string } export interface PredictionData { color: { prediction: "red" | "green" | "violet" confidence: number probability: { red: number; green: number; violet: number } } size: { prediction: "big" | "small" confidence: number probability: { big: number; small: number } } number: { prediction: number confidence: number probability: number[] } } export interface GameStats { hotNumbers: number[] coldNumbers: number[] streaks: { color: { type: string; count: number } size: { type: string; count: number } } patterns: { colorFrequency: Record sizeFrequency: Record numberFrequency: Record } } [V0_FILE]typescriptreact:file="components/connection-status.tsx" "use client" import { useState, useEffect } from "react" interface ConnectionStatusProps { isConnected: boolean lastUpdate: number | null error: string | null } export function ConnectionStatus({ isConnected, lastUpdate, error }: ConnectionStatusProps) { const [currentTime, setCurrentTime] = useState(Date.now()) useEffect(() => { const interval = setInterval(() => { setCurrentTime(Date.now()) }, 1000) return () => clearInterval(interval) }, []) const getTimeSinceUpdate = () => { if (!lastUpdate) return "NEVER" const seconds = Math.floor((currentTime - lastUpdate) / 1000) if (seconds < 60) return `${seconds}s AGO` const minutes = Math.floor(seconds / 60) return `${minutes}m AGO` } const getStatusColor = () => { if (error) return "text-red-400" if (!isConnected) return "text-yellow-400" return "text-green-400" } const getStatusText = () => { if (error) return "ERROR" if (!isConnected) return "CONNECTING" return "ONLINE" } return (

API STATUS: {getStatusText()}

LAST UPDATE: {getTimeSinceUpdate()}

{error && (

ERROR: {error}

)}

) } [V0_FILE]typescriptreact:file="components/ui/progress.tsx" "use client" import * as React from "react" import * as ProgressPrimitive from "@radix-ui/react-progress" import { cn } from "@/lib/utils" const Progress = React.forwardRef< React.ElementRef, React.ComponentPropsWithoutRef >(({ className, value, ...props }, ref) => ( )) Progress.displayName = ProgressPrimitive.Root.displayName export { Progress } [V0_FILE]typescriptreact:file="components/charts/trend-chart.tsx" "use client" import { Line, LineChart, XAxis, YAxis, CartesianGrid, ResponsiveContainer } from "recharts" import { ChartContainer, ChartTooltip, ChartTooltipContent } from "@/components/ui/chart" import type { GameResult } from "@/lib/types" interface TrendChartProps { results: GameResult[] type: "color" | "size" | "number" } export function TrendChart({ results, type }: TrendChartProps) { const chartData = results .slice(0, 20) .reverse() .map((result, index) => { let value = 0 let label = "" switch (type) { case "color": value = result.color === "red" ? 1 : result.color === "green" ? 2 : 3 label = result.color break case "size": value = result.size === "small" ? 1 : 2 label = result.size break case "number": value = result.number label = result.number.toString() break } return { index: index + 1, value, label, period: result.period.slice(-4), } }) const chartConfig = { value: { label: type.charAt(0).toUpperCase() + type.slice(1), color: "hsl(var(--chart-1))", }, } return ( } contentStyle={{ backgroundColor: "rgba(0, 0, 0, 0.9)", border: "1px solid #00ff41", borderRadius: "4px", color: "#00ff41", fontFamily: "monospace", }} /> ) } [V0_FILE]typescriptreact:file="components/charts/frequency-chart.tsx" "use client" import { Bar, BarChart, XAxis, YAxis, CartesianGrid, ResponsiveContainer } from "recharts" import { ChartContainer, ChartTooltip, ChartTooltipContent } from "@/components/ui/chart" import type { GameResult } from "@/lib/types" interface FrequencyChartProps { results: GameResult[] type: "color" | "size" | "number" } export function FrequencyChart({ results, type }: FrequencyChartProps) { const getChartData = () => { switch (type) { case "color": { const colorCounts = { red: 0, green: 0, violet: 0 } results.forEach((result) => { colorCounts[result.color]++ }) return [ { name: "RED", value: colorCounts.red, fill: "#ef4444" }, { name: "GREEN", value: colorCounts.green, fill: "#00ff41" }, { name: "VIOLET", value: colorCounts.violet, fill: "#a855f7" }, ] } case "size": { const sizeCounts = { big: 0, small: 0 } results.forEach((result) => { sizeCounts[result.size]++ }) return [ { name: "BIG", value: sizeCounts.big, fill: "#3b82f6" }, { name: "SMALL", value: sizeCounts.small, fill: "#f97316" }, ] } case "number": { const numberCounts: Record = {} for (let i = 0; i < 10; i++) { numberCounts[i] = 0 } results.forEach((result) => { numberCounts[result.number]++ }) return Object.entries(numberCounts).map(([num, count]) => ({ name: num, value: count, fill: "#06b6d4", })) } default: return [] } } const chartData = getChartData() const chartConfig = { value: { label: "Frequency", color: "hsl(var(--chart-1))", }, } return ( } contentStyle={{ backgroundColor: "rgba(0, 0, 0, 0.9)", border: "1px solid #00ff41", borderRadius: "4px", color: "#00ff41", fontFamily: "monospace", }} /> ) } [V0_FILE]typescriptreact:file="components/dashboard/stats-grid.tsx" "use client" import { Card } from "@/components/ui/card" import type { GameStats } from "@/lib/types" interface StatsGridProps { stats: GameStats | null } export function StatsGrid({ stats }: StatsGridProps) { if (!stats) { return (

{Array.from({ length: 4 }).map((_, i) => (

))}

) } const totalColorResults = Object.values(stats.patterns.colorFrequency).reduce((a, b) => a + b, 0) const totalSizeResults = Object.values(stats.patterns.sizeFrequency).reduce((a, b) => a + b, 0) return (

HOT NUMBER

{stats.hotNumbers[0] || 0}

{stats.patterns.numberFrequency[stats.hotNumbers[0]] || 0} TIMES

COLD NUMBER

{stats.coldNumbers[0] || 0}

{stats.patterns.numberFrequency[stats.coldNumbers[0]] || 0} TIMES

COLOR STREAK

{stats.streaks.color.type}

{stats.streaks.color.count} IN A ROW

SIZE STREAK

{stats.streaks.size.type}

{stats.streaks.size.count} IN A ROW

) } [V0_FILE]typescriptreact:file="components/dashboard/heatmap.tsx" "use client" import { Card } from "@/components/ui/card" import type { GameResult } from "@/lib/types" interface HeatmapProps { results: GameResult[] } export function Heatmap({ results }: HeatmapProps) { const getNumberFrequency = () => { const frequency: Record = {} for (let i = 0; i < 10; i++) { frequency[i] = 0 } results.forEach((result) => { frequency[result.number]++ }) return frequency } const frequency = getNumberFrequency() const maxFreq = Math.max(...Object.values(frequency)) const minFreq = Math.min(...Object.values(frequency)) const getHeatColor = (freq: number) => { if (maxFreq === minFreq) return "bg-green-500/30" const intensity = (freq - minFreq) / (maxFreq - minFreq) if (intensity > 0.8) return "bg-red-500/80" if (intensity > 0.6) return "bg-red-500/60" if (intensity > 0.4) return "bg-yellow-500/60" if (intensity > 0.2) return "bg-green-500/40" return "bg-blue-500/40" } const getHeatLabel = (freq: number) => { if (maxFreq === minFreq) return "NORMAL" const intensity = (freq - minFreq) / (maxFreq - minFreq) if (intensity > 0.8) return "VERY HOT" if (intensity > 0.6) return "HOT" if (intensity > 0.4) return "WARM" if (intensity > 0.2) return "COOL" return "COLD" } return (

NUMBER HEATMAP

{Array.from({ length: 10 }, (_, i) => (

{i}

{frequency[i]}

{getHeatLabel(frequency[i])}

))}

COLD

COOL

WARM

HOT

VERY HOT

) } [V0_FILE]typescriptreact:file="components/dashboard/pattern-analyzer.tsx" "use client" import { Card } from "@/components/ui/card" import { Progress } from "@/components/ui/progress" import type { GameResult } from "@/lib/types" interface PatternAnalyzerProps { results: GameResult[] } export function PatternAnalyzer({ results }: PatternAnalyzerProps) { const analyzePatterns = () => { if (results.length < 3) return [] const patterns: Array<{ pattern: string count: number probability: number type: "color" | "size" | "number" }> = [] // Analyze color patterns const colorPatterns: Record = {} for (let i = 0; i < results.length - 2; i++) { const pattern = `${results[i + 2].color}-${results[i + 1].color}-${results[i].color}` colorPatterns[pattern] = (colorPatterns[pattern] || 0) + 1 } // Analyze size patterns const sizePatterns: Record = {} for (let i = 0; i < results.length - 2; i++) { const pattern = `${results[i + 2].size}-${results[i + 1].size}-${results[i].size}` sizePatterns[pattern] = (sizePatterns[pattern] || 0) + 1 } // Get top patterns const topColorPatterns = Object.entries(colorPatterns) .sort(([, a], [, b]) => b - a) .slice(0, 3) .map(([pattern, count]) => ({ pattern: pattern.toUpperCase(), count, probability: (count / (results.length - 2)) * 100, type: "color" as const, })) const topSizePatterns = Object.entries(sizePatterns) .sort(([, a], [, b]) => b - a) .slice(0, 2) .map(([pattern, count]) => ({ pattern: pattern.toUpperCase(), count, probability: (count / (results.length - 2)) * 100, type: "size" as const, })) return [...topColorPatterns, ...topSizePatterns] } const patterns = analyzePatterns() const getPatternColor = (type: string) => { switch (type) { case "color": return "text-purple-400" case "size": return "text-cyan-400" default: return "text-green-400" } } return (

PATTERN ANALYSIS

{patterns.length === 0 ? (

INSUFFICIENT DATA FOR PATTERN ANALYSIS

) : (

{patterns.map((pattern, index) => (

{pattern.type.toUpperCase()} PATTERN

{pattern.count} OCCURRENCES

{pattern.pattern}

{pattern.probability.toFixed(1)}%

))}

)}

PATTERN LEGEND:

Patterns show the last 3 consecutive results in sequence (newest → oldest)

) } [V0_FILE]typescriptreact:file="components/dashboard/risk-advisor.tsx" "use client" import { Card } from "@/components/ui/card" import { Badge } from "@/components/ui/badge" import type { PredictionData, GameStats } from "@/lib/types" interface RiskAdvisorProps { predictions: PredictionData | null stats: GameStats | null } export function RiskAdvisor({ predictions, stats }: RiskAdvisorProps) { const generateAdvice = () => { if (!predictions || !stats) { return { riskLevel: "UNKNOWN", advice: "Insufficient data for risk analysis", recommendations: [], riskColor: "text-gray-400", } } const avgConfidence = (predictions.color.confidence + predictions.size.confidence + predictions.number.confidence) / 3 let riskLevel = "MEDIUM" let riskColor = "text-yellow-400" let advice = "" const recommendations: string[] = [] if (avgConfidence >= 75) { riskLevel = "LOW" riskColor = "text-green-400" advice = "High confidence predictions suggest favorable conditions" recommendations.push("Consider higher stakes on primary predictions") recommendations.push("Monitor for pattern continuation") } else if (avgConfidence >= 60) { riskLevel = "MEDIUM" riskColor = "text-yellow-400" advice = "Moderate confidence levels suggest standard risk approach" recommendations.push("Use balanced betting strategy") recommendations.push("Watch for emerging patterns") } else { riskLevel = "HIGH" riskColor = "text-red-400" advice = "Low confidence indicates unpredictable conditions" recommendations.push("Consider lower stakes or skip this round") recommendations.push("Wait for clearer patterns to emerge") } // Additional recommendations based on streaks if (stats.streaks.color.count >= 4) { recommendations.push(`CAUTION: ${stats.streaks.color.type.toUpperCase()} streak of ${stats.streaks.color.count}`) } if (stats.streaks.size.count >= 3) { recommendations.push(`WATCH: ${stats.streaks.size.type.toUpperCase()} size pattern active`) } return { riskLevel, advice, recommendations, riskColor, } } const riskAnalysis = generateAdvice() const getRiskBadgeVariant = (level: string) => { switch (level) { case "LOW": return "default" case "MEDIUM": return "secondary" case "HIGH": return "destructive" default: return "outline" } } return (

RISK ADVISOR

RISK LEVEL: {riskAnalysis.riskLevel}

{riskAnalysis.advice}

{predictions && (

COLOR

= 70 ? "text-green-400" : predictions.color.confidence >= 60 ? "text-yellow-400" : "text-red-400"}`} > {predictions.color.confidence}%

SIZE

= 70 ? "text-green-400" : predictions.size.confidence >= 60 ? "text-yellow-400" : "text-red-400"}`} > {predictions.size.confidence}%

NUMBER

= 70 ? "text-green-400" : predictions.number.confidence >= 60 ? "text-yellow-400" : "text-red-400"}`} > {predictions.number.confidence}%

)}

RECOMMENDATIONS:

{riskAnalysis.recommendations.map((rec, index) => (

• {rec}

))}

) } [V0_FILE]typescriptreact:file="components/ui/badge.tsx" import type * as React from "react" import { cva, type VariantProps } from "class-variance-authority" import { cn } from "@/lib/utils" const badgeVariants = cva( "inline-flex items-center rounded-md border px-2.5 py-0.5 text-xs font-semibold transition-colors focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2", { variants: { variant: { default: "border-transparent bg-green-500/20 text-green-400 shadow hover:bg-green-500/30", secondary: "border-transparent bg-yellow-500/20 text-yellow-400 shadow hover:bg-yellow-500/30", destructive: "border-transparent bg-red-500/20 text-red-400 shadow hover:bg-red-500/30", outline: "text-green-400 border-green-500/50", }, }, defaultVariants: { variant: "default", }, }, ) export interface BadgeProps extends React.HTMLAttributes, VariantProps {} function Badge({ className, variant, ...props }: BadgeProps) { return

} export { Badge, badgeVariants } [V0_FILE]typescriptreact:file="components/ui/tabs.tsx" "use client" import * as React from "react" import * as TabsPrimitive from "@radix-ui/react-tabs" import { cn } from "@/lib/utils" const Tabs = TabsPrimitive.Root const TabsList = React.forwardRef< React.ElementRef, React.ComponentPropsWithoutRef >(({ className, ...props }, ref) => ( )) TabsList.displayName = TabsPrimitive.List.displayName const TabsTrigger = React.forwardRef< React.ElementRef, React.ComponentPropsWithoutRef >(({ className, ...props }, ref) => ( )) TabsTrigger.displayName = TabsPrimitive.Trigger.displayName const TabsContent = React.forwardRef< React.ElementRef, React.ComponentPropsWithoutRef >(({ className, ...props }, ref) => ( )) TabsContent.displayName = TabsPrimitive.Content.displayName export { Tabs, TabsList, TabsTrigger, TabsContent } [V0_FILE]typescriptreact:file="lib/advanced-analytics.ts" import type { GameResult, PredictionData } from "./types" export interface AdvancedStats { winRate: { color: number size: number number: number overall: number } streakAnalysis: { longestColorStreak: { type: string; length: number } longestSizeStreak: { type: string; length: number } currentStreaks: Array<{ type: string; category: string; length: number }> } volatilityIndex: { color: number size: number number: number overall: number } timeBasedPatterns: { hourlyDistribution: Record }> periodicPatterns: Array<{ pattern: string; strength: number; nextPrediction: string }> } profitabilityAnalysis: { theoreticalROI: number riskAdjustedReturn: number sharpeRatio: number maxDrawdown: number } marketSentiment: { momentum: "bullish" | "bearish" | "neutral" confidence: number trendStrength: number } } export interface BettingSimulation { strategy: string totalBets: number wins: number losses: number winRate: number totalProfit: number roi: number maxDrawdown: number sharpeRatio: number } export class AdvancedAnalyticsEngine { private static instance: AdvancedAnalyticsEngine private predictionHistory: Array<{ prediction: PredictionData actual: GameResult timestamp: number }> = [] static getInstance(): AdvancedAnalyticsEngine { if (!AdvancedAnalyticsEngine.instance) { AdvancedAnalyticsEngine.instance = new AdvancedAnalyticsEngine() } return AdvancedAnalyticsEngine.instance } recordPrediction(prediction: PredictionData, actual: GameResult): void { this.predictionHistory.push({ prediction, actual, timestamp: Date.now(), }) // Keep only last 100 predictions for performance if (this.predictionHistory.length > 100) { this.predictionHistory = this.predictionHistory.slice(-100) } } calculateAdvancedStats(results: GameResult[]): AdvancedStats { if (results.length === 0) { return this.getDefaultStats() } return { winRate: this.calculateWinRates(), streakAnalysis: this.analyzeStreaks(results), volatilityIndex: this.calculateVolatility(results), timeBasedPatterns: this.analyzeTimePatterns(results), profitabilityAnalysis: this.analyzeProfitability(results), marketSentiment: this.calculateMarketSentiment(results), } } private calculateWinRates() { if (this.predictionHistory.length === 0) { return { color: 0, size: 0, number: 0, overall: 0 } } const colorWins = this.predictionHistory.filter((p) => p.prediction.color.prediction === p.actual.color).length const sizeWins = this.predictionHistory.filter((p) => p.prediction.size.prediction === p.actual.size).length const numberWins = this.predictionHistory.filter((p) => p.prediction.number.prediction === p.actual.number).length const total = this.predictionHistory.length const colorRate = (colorWins / total) * 100 const sizeRate = (sizeWins / total) * 100 const numberRate = (numberWins / total) * 100 const overallRate = ((colorWins + sizeWins + numberWins) / (total * 3)) * 100 return { color: Math.round(colorRate), size: Math.round(sizeRate), number: Math.round(numberRate), overall: Math.round(overallRate), } } private analyzeStreaks(results: GameResult[]) { const colorStreaks = this.findStreaks(results, "color") const sizeStreaks = this.findStreaks(results, "size") const longestColorStreak = colorStreaks.reduce((max, streak) => (streak.length > max.length ? streak : max), { type: "none", length: 0, }) const longestSizeStreak = sizeStreaks.reduce((max, streak) => (streak.length > max.length ? streak : max), { type: "none", length: 0, }) // Current active streaks const currentStreaks = [] if (results.length > 0) { const currentColorStreak = this.getCurrentStreak(results, "color") const currentSizeStreak = this.getCurrentStreak(results, "size") if (currentColorStreak.length > 1) { currentStreaks.push({ type: currentColorStreak.type, category: "color", length: currentColorStreak.length, }) } if (currentSizeStreak.length > 1) { currentStreaks.push({ type: currentSizeStreak.type, category: "size", length: currentSizeStreak.length, }) } } return { longestColorStreak, longestSizeStreak, currentStreaks, } } private findStreaks(results: GameResult[], type: "color" | "size") { const streaks: Array<{ type: string; length: number }> = [] let currentStreak = { type: "", length: 0 } for (const result of results) { const value = result[type] if (currentStreak.type === value) { currentStreak.length++ } else { if (currentStreak.length > 1) { streaks.push({ ...currentStreak }) } currentStreak = { type: value, length: 1 } } } if (currentStreak.length > 1) { streaks.push(currentStreak) } return streaks } private getCurrentStreak(results: GameResult[], type: "color" | "size") { if (results.length === 0) return { type: "", length: 0 } const firstValue = results[0][type] let length = 1 for (let i = 1; i < results.length; i++) { if (results[i][type] === firstValue) { length++ } else { break } } return { type: firstValue, length } } private calculateVolatility(results: GameResult[]) { const recent = results.slice(0, 20) if (recent.length < 5) { return { color: 50, size: 50, number: 50, overall: 50 } } // Calculate color volatility const colorChanges = recent.slice(1).filter((result, i) => result.color !== recent[i].color).length const colorVolatility = (colorChanges / (recent.length - 1)) * 100 // Calculate size volatility const sizeChanges = recent.slice(1).filter((result, i) => result.size !== recent[i].size).length const sizeVolatility = (sizeChanges / (recent.length - 1)) * 100 // Calculate number volatility (standard deviation) const numbers = recent.map((r) => r.number) const mean = numbers.reduce((a, b) => a + b, 0) / numbers.length const variance = numbers.reduce((sum, num) => sum + Math.pow(num - mean, 2), 0) / numbers.length const numberVolatility = Math.sqrt(variance) * 10 // Scale for percentage const overallVolatility = (colorVolatility + sizeVolatility + numberVolatility) / 3 return { color: Math.round(colorVolatility), size: Math.round(sizeVolatility), number: Math.round(numberVolatility), overall: Math.round(overallVolatility), } } private analyzeTimePatterns(results: GameResult[]) { const hourlyDistribution: Record }> = {} // Initialize hourly distribution for (let hour = 0; hour < 24; hour++) { hourlyDistribution[hour] = { count: 0, colors: { red: 0, green: 0, violet: 0 }, } } // Analyze results by hour results.forEach((result) => { const hour = new Date(result.timestamp).getHours() hourlyDistribution[hour].count++ hourlyDistribution[hour].colors[result.color]++ }) // Find periodic patterns const periodicPatterns = this.findPeriodicPatterns(results) return { hourlyDistribution, periodicPatterns, } } private findPeriodicPatterns(results: GameResult[]) { const patterns: Array<{ pattern: string; strength: number; nextPrediction: string }> = [] // Analyze 3-result patterns for (let i = 0; i < results.length - 3; i++) { const pattern = `${results[i + 2].color}-${results[i + 1].color}-${results[i].color}` const nextResult = results[i - 1]?.color if (nextResult) { const existingPattern = patterns.find((p) => p.pattern === pattern) if (existingPattern) { existingPattern.strength++ if (existingPattern.nextPrediction !== nextResult) { existingPattern.nextPrediction = "mixed" } } else { patterns.push({ pattern, strength: 1, nextPrediction: nextResult, }) } } } return patterns .filter((p) => p.strength > 1 && p.nextPrediction !== "mixed") .sort((a, b) => b.strength - a.strength) .slice(0, 5) } private analyzeProfitability(results: GameResult[]) { // Simulate different betting strategies const strategies = [ { name: "color_only", odds: 3, accuracy: this.calculateWinRates().color / 100 }, { name: "size_only", odds: 2, accuracy: this.calculateWinRates().size / 100 }, { name: "number_only", odds: 10, accuracy: this.calculateWinRates().number / 100 }, ] let bestROI = -100 let bestSharpe = -10 let maxDrawdown = 0 strategies.forEach((strategy) => { const roi = (strategy.odds * strategy.accuracy - 1) * 100 const sharpe = roi / Math.max(10, Math.sqrt(strategy.odds * 100)) // Risk-adjusted return bestROI = Math.max(bestROI, roi) bestSharpe = Math.max(bestSharpe, sharpe) }) // Calculate theoretical max drawdown const volatility = this.calculateVolatility(results).overall maxDrawdown = Math.min(50, volatility * 0.5) return { theoreticalROI: Math.round(bestROI), riskAdjustedReturn: Math.round(bestSharpe), sharpeRatio: Math.round(bestSharpe * 10) / 10, maxDrawdown: Math.round(maxDrawdown), } } private calculateMarketSentiment(results: GameResult[]) { const recent = results.slice(0, 10) if (recent.length < 5) { return { momentum: "neutral" as const, confidence: 50, trendStrength: 0 } } // Analyze momentum based on color patterns const greenCount = recent.filter((r) => r.color === "green").length const redCount = recent.filter((r) => r.color === "red").length const violetCount = recent.filter((r) => r.color === "violet").length let momentum: "bullish" | "bearish" | "neutral" = "neutral" let confidence = 50 let trendStrength = 0 if (greenCount > redCount + violetCount) { momentum = "bullish" confidence = Math.min(95, 50 + (greenCount / recent.length) * 50) trendStrength = (greenCount / recent.length) * 100 } else if (redCount > greenCount + violetCount) { momentum = "bearish" confidence = Math.min(95, 50 + (redCount / recent.length) * 50) trendStrength = (redCount / recent.length) * 100 } else { const dominantColor = Math.max(greenCount, redCount, violetCount) trendStrength = (dominantColor / recent.length) * 100 } return { momentum, confidence: Math.round(confidence), trendStrength: Math.round(trendStrength), } } simulateBettingStrategies(results: GameResult[]): BettingSimulation[] { const strategies = [ { name: "Conservative Color", betOn: "color", minConfidence: 70, stake: 10, odds: 3, }, { name: "Aggressive Size", betOn: "size", minConfidence: 60, stake: 20, odds: 2, }, { name: "High Risk Number", betOn: "number", minConfidence: 50, stake: 5, odds: 10, }, { name: "Balanced Mixed", betOn: "mixed", minConfidence: 65, stake: 15, odds: 4, }, ] return strategies.map((strategy) => { let totalBets = 0 let wins = 0 let totalProfit = 0 let maxDrawdown = 0 let currentDrawdown = 0 let peak = 0 this.predictionHistory.forEach(({ prediction, actual }) => { let shouldBet = false let isWin = false switch (strategy.betOn) { case "color": shouldBet = prediction.color.confidence >= strategy.minConfidence isWin = prediction.color.prediction === actual.color break case "size": shouldBet = prediction.size.confidence >= strategy.minConfidence isWin = prediction.size.prediction === actual.size break case "number": shouldBet = prediction.number.confidence >= strategy.minConfidence isWin = prediction.number.prediction === actual.number break case "mixed": const avgConfidence = (prediction.color.confidence + prediction.size.confidence + prediction.number.confidence) / 3 shouldBet = avgConfidence >= strategy.minConfidence isWin = prediction.color.prediction === actual.color || prediction.size.prediction === actual.size || prediction.number.prediction === actual.number break } if (shouldBet) { totalBets++ if (isWin) { wins++ const profit = strategy.stake * (strategy.odds - 1) totalProfit += profit currentDrawdown = 0 } else { totalProfit -= strategy.stake currentDrawdown += strategy.stake } if (totalProfit > peak) { peak = totalProfit currentDrawdown = 0 } maxDrawdown = Math.max(maxDrawdown, currentDrawdown) } }) const winRate = totalBets > 0 ? (wins / totalBets) * 100 : 0 const roi = totalBets > 0 ? (totalProfit / (totalBets * strategy.stake)) * 100 : 0 const sharpeRatio = roi / Math.max(1, Math.sqrt(maxDrawdown || 1)) return { strategy: strategy.name, totalBets, wins, losses: totalBets - wins, winRate: Math.round(winRate), totalProfit: Math.round(totalProfit), roi: Math.round(roi), maxDrawdown: Math.round(maxDrawdown), sharpeRatio: Math.round(sharpeRatio * 10) / 10, } }) } private getDefaultStats(): AdvancedStats { return { winRate: { color: 0, size: 0, number: 0, overall: 0 }, streakAnalysis: { longestColorStreak: { type: "none", length: 0 }, longestSizeStreak: { type: "none", length: 0 }, currentStreaks: [], }, volatilityIndex: { color: 50, size: 50, number: 50, overall: 50 }, timeBasedPatterns: { hourlyDistribution: {}, periodicPatterns: [], }, profitabilityAnalysis: { theoreticalROI: 0, riskAdjustedReturn: 0, sharpeRatio: 0, maxDrawdown: 0, }, marketSentiment: { momentum: "neutral", confidence: 50, trendStrength: 0, }, } } } export const advancedAnalytics = AdvancedAnalyticsEngine.getInstance() [V0_FILE]typescriptreact:file="components/analytics/performance-metrics.tsx" "use client" import { Card } from "@/components/ui/card" import { Progress } from "@/components/ui/progress" import { Badge } from "@/components/ui/badge" import type { AdvancedStats } from "@/lib/advanced-analytics" interface PerformanceMetricsProps { stats: AdvancedStats | null } export function PerformanceMetrics({ stats }: PerformanceMetricsProps) { if (!stats) { return (

PERFORMANCE METRICS

CALCULATING PERFORMANCE...

) } const getPerformanceColor = (value: number, type: "winrate" | "roi" | "volatility") => { switch (type) { case "winrate": if (value >= 70) return "text-green-400" if (value >= 50) return "text-yellow-400" return "text-red-400" case "roi": if (value >= 20) return "text-green-400" if (value >= 0) return "text-yellow-400" return "text-red-400" case "volatility": if (value <= 30) return "text-green-400" if (value <= 60) return "text-yellow-400" return "text-red-400" default: return "text-green-400" } } const getSentimentBadge = (momentum: string) => { switch (momentum) { case "bullish": return ( BULLISH ) case "bearish": return ( BEARISH ) default: return ( NEUTRAL ) } } return (

PERFORMANCE METRICS

OVERALL WIN RATE

{stats.winRate.overall}%

THEORETICAL ROI

{stats.profitabilityAnalysis.theoreticalROI}%

VOLATILITY INDEX

{stats.volatilityIndex.overall}%

SHARPE RATIO

{stats.profitabilityAnalysis.sharpeRatio}

CATEGORY WIN RATES

COLOR {stats.winRate.color}%

SIZE {stats.winRate.size}%

NUMBER {stats.winRate.number}%

MARKET SENTIMENT

MOMENTUM {getSentimentBadge(stats.marketSentiment.momentum)}

CONFIDENCE {stats.marketSentiment.confidence}%

TREND STRENGTH {stats.marketSentiment.trendStrength}%

RISK METRICS

MAX DRAWDOWN {stats.profitabilityAnalysis.maxDrawdown}%

RISK ADJ. RETURN {stats.profitabilityAnalysis.riskAdjustedReturn}%

{stats.streakAnalysis.currentStreaks.length > 0 && (

ACTIVE STREAKS

{stats.streakAnalysis.currentStreaks.map((streak, index) => (

{streak.category} - {streak.type} {streak.length} IN A ROW

))}

)}

) } [V0_FILE]typescriptreact:file="components/analytics/betting-simulator.tsx" "use client" import { Card } from "@/components/ui/card" import { Badge } from "@/components/ui/badge" import { Progress } from "@/components/ui/progress" import type { BettingSimulation } from "@/lib/advanced-analytics" interface BettingSimulatorProps { simulations: BettingSimulation[] } export function BettingSimulator({ simulations }: BettingSimulatorProps) { const getROIColor = (roi: number) => { if (roi >= 20) return "text-green-400" if (roi >= 0) return "text-yellow-400" return "text-red-400" } const getStrategyBadge = (roi: number) => { if (roi >= 20) return EXCELLENT if (roi >= 10) return GOOD if (roi >= 0) return BREAK EVEN return LOSS } return (

BETTING STRATEGY SIMULATOR

{simulations.length === 0 ? (

INSUFFICIENT PREDICTION HISTORY FOR SIMULATION

) : (

{simulations.map((sim, index) => (

{sim.strategy}

{getStrategyBadge(sim.roi)}

TOTAL BETS

{sim.totalBets}

WIN RATE

{sim.winRate}%

TOTAL PROFIT

{sim.totalProfit > 0 ? "+" : ""} {sim.totalProfit}

ROI

{sim.roi > 0 ? "+" : ""} {sim.roi}%

WIN RATE {sim.winRate}%

SHARPE RATIO {sim.sharpeRatio}

WINS: {sim.wins} LOSSES: {sim.losses}

MAX DRAWDOWN: {sim.maxDrawdown}

))}

)}

SIMULATION NOTES:

• Simulations based on historical prediction accuracy
• Results assume perfect execution of strategy
• Past performance does not guarantee future results

) } [V0_FILE]typescriptreact:file="components/analytics/streak-analyzer.tsx" "use client" import { Card } from "@/components/ui/card" import { Badge } from "@/components/ui/badge" import { Progress } from "@/components/ui/progress" import type { AdvancedStats } from "@/lib/advanced-analytics" interface StreakAnalyzerProps { stats: AdvancedStats | null } export function StreakAnalyzer({ stats }: StreakAnalyzerProps) { if (!stats) { return (

STREAK ANALYSIS

ANALYZING STREAKS...

) } const getStreakColor = (length: number) => { if (length >= 5) return "text-red-400" if (length >= 3) return "text-yellow-400" return "text-green-400" } const getStreakRisk = (length: number) => { if (length >= 5) return "HIGH RISK" if (length >= 3) return "MEDIUM RISK" return "LOW RISK" } const getStreakBadge = (length: number) => { if (length >= 5) return EXTREME if (length >= 3) return NOTABLE return NORMAL } return (

STREAK ANALYSIS

LONGEST STREAKS (HISTORICAL)

COLOR STREAK

{stats.streakAnalysis.longestColorStreak.type || "NONE"}

{stats.streakAnalysis.longestColorStreak.length}

{getStreakBadge(stats.streakAnalysis.longestColorStreak.length)}

SIZE STREAK

{stats.streakAnalysis.longestSizeStreak.type || "NONE"}

{stats.streakAnalysis.longestSizeStreak.length}

{getStreakBadge(stats.streakAnalysis.longestSizeStreak.length)}

CURRENT ACTIVE STREAKS

{stats.streakAnalysis.currentStreaks.length === 0 ? (

NO ACTIVE STREAKS

) : (

{stats.streakAnalysis.currentStreaks.map((streak, index) => (

{streak.category}

{streak.type}

{streak.length}

{getStreakBadge(streak.length)}

))}

)}

{stats.streakAnalysis.currentStreaks.length > 0 && (

STREAK RISK ASSESSMENT

{stats.streakAnalysis.currentStreaks.map((streak, index) => (

{streak.category} - {streak.type} STREAK {getStreakRisk(streak.length)}

{streak.length}/7

{streak.length >= 5 ? "EXTREME: Consider opposite bet or skip round" : streak.length >= 3 ? "CAUTION: Streak may break soon" : "NORMAL: Continue with standard strategy"}

))}

)}

STREAK STRATEGY TIPS:

• Streaks of 3+ suggest pattern disruption is likely
• Extreme streaks (5+) often precede reversals
• Use streak data to adjust bet sizing and timing

) } [V0_FILE]typescriptreact:file="hooks/use-advanced-analytics.ts" "use client" import { useState, useCallback } from "react" import { advancedAnalytics, type AdvancedStats, type BettingSimulation } from "@/lib/advanced-analytics" import type { GameResult, PredictionData } from "@/lib/types" interface UseAdvancedAnalyticsReturn { advancedStats: AdvancedStats | null bettingSimulations: BettingSimulation[] isCalculating: boolean updateAnalytics: (results: GameResult[]) => void recordPredictionResult: (prediction: PredictionData, actual: GameResult) => void } export function useAdvancedAnalytics(): UseAdvancedAnalyticsReturn { const [advancedStats, setAdvancedStats] = useState(null) const [bettingSimulations, setBettingSimulations] = useState([]) const [isCalculating, setIsCalculating] = useState(false) const updateAnalytics = useCallback(async (results: GameResult[]) => { if (results.length === 0) return setIsCalculating(true) // Simulate calculation time for better UX await new Promise((resolve) => setTimeout(resolve, 1000)) try { const stats = advancedAnalytics.calculateAdvancedStats(results) const simulations = advancedAnalytics.simulateBettingStrategies(results) setAdvancedStats(stats) setBettingSimulations(simulations) } catch (error) { console.error("Error calculating advanced analytics:", error) } finally { setIsCalculating(false) } }, []) const recordPredictionResult = useCallback((prediction: PredictionData, actual: GameResult) => { advancedAnalytics.recordPrediction(prediction, actual) }, []) return { advancedStats, bettingSimulations, isCalculating, updateAnalytics, recordPredictionResult, } } [V0_FILE]typescriptreact:file="components/effects/animated-counter.tsx" "use client" import { useEffect, useState } from "react" interface AnimatedCounterProps { value: number duration?: number className?: string suffix?: string prefix?: string } export function AnimatedCounter({ value, duration = 1000, className = "", suffix = "", prefix = "", }: AnimatedCounterProps) { const [displayValue, setDisplayValue] = useState(0) useEffect(() => { let startTime: number let animationFrame: number const animate = (currentTime: number) => { if (!startTime) startTime = currentTime const progress = Math.min((currentTime - startTime) / duration, 1) // Easing function for smooth animation const easeOutQuart = 1 - Math.pow(1 - progress, 4) const currentValue = Math.floor(easeOutQuart * value) setDisplayValue(currentValue) if (progress < 1) { animationFrame = requestAnimationFrame(animate) } } animationFrame = requestAnimationFrame(animate) return () => { if (animationFrame) { cancelAnimationFrame(animationFrame) } } }, [value, duration]) return ( {prefix} {displayValue} {suffix} ) } [V0_FILE]typescriptreact:file="components/effects/glitch-text.tsx" "use client" import { useEffect, useState } from "react" interface GlitchTextProps { text: string className?: string glitchChance?: number } export function GlitchText({ text, className = "", glitchChance = 0.02 }: GlitchTextProps) { const [displayText, setDisplayText] = useState(text) const [isGlitching, setIsGlitching] = useState(false) useEffect(() => { const glitchChars = "!@#$%^&*()_+-=[]{}|;:,.<>?" const glitchInterval = setInterval(() => { if (Math.random() < glitchChance) { setIsGlitching(true) // Create glitched version const glitchedText = text .split("") .map((char) => { if (Math.random() < 0.3) { return glitchChars[Math.floor(Math.random() * glitchChars.length)] } return char }) .join("") setDisplayText(glitchedText) // Restore original text after short delay setTimeout(() => { setDisplayText(text) setIsGlitching(false) }, 100) } }, 100) return () => clearInterval(glitchInterval) }, [text, glitchChance]) return ( {displayText} ) } [V0_FILE]typescriptreact:file="components/effects/typing-text.tsx" "use client" import { useEffect, useState } from "react" interface TypingTextProps { text: string speed?: number className?: string onComplete?: () => void showCursor?: boolean } export function TypingText({ text, speed = 50, className = "", onComplete, showCursor = true }: TypingTextProps) { const [displayText, setDisplayText] = useState("") const [currentIndex, setCurrentIndex] = useState(0) const [isComplete, setIsComplete] = useState(false) useEffect(() => { if (currentIndex < text.length) { const timeout = setTimeout(() => { setDisplayText((prev) => prev + text[currentIndex]) setCurrentIndex((prev) => prev + 1) }, speed) return () => clearTimeout(timeout) } else if (!isComplete) { setIsComplete(true) onComplete?.() } }, [currentIndex, text, speed, onComplete, isComplete]) return ( {displayText} {showCursor && !isComplete && █} ) } [V0_FILE]typescriptreact:file="components/effects/matrix-rain.tsx" "use client" import { useEffect, useRef } from "react" interface MatrixRainProps { className?: string density?: number speed?: number } export function MatrixRain({ className = "", density = 0.5, speed = 35 }: MatrixRainProps) { const canvasRef = useRef(null) useEffect(() => { const canvas = canvasRef.current if (!canvas) return const ctx = canvas.getContext("2d") if (!ctx) return const resizeCanvas = () => { canvas.width = window.innerWidth canvas.height = window.innerHeight } resizeCanvas() const matrix = "ABCDEFGHIJKLMNOPQRSTUVWXYZ123456789@#$%^&*()*&^%+-/~{[|`]}アイウエオカキクケコサシスセソタチツテトナニヌネノハヒフヘホマミムメモヤユヨラリルレロワヲン".split( "", ) const fontSize = 10 const columns = Math.floor(canvas.width / fontSize) const drops: number[] = [] // Initialize drops for (let x = 0; x < columns; x++) { drops[x] = (Math.random() * canvas.height) / fontSize } const draw = () => { // Semi-transparent black background for trail effect ctx.fillStyle = "rgba(0, 0, 0, 0.04)" ctx.fillRect(0, 0, canvas.width, canvas.height) ctx.fillStyle = "#00ff41" ctx.font = `${fontSize}px monospace` for (let i = 0; i < drops.length; i++) { // Random character const text = matrix[Math.floor(Math.random() * matrix.length)] // Draw character ctx.fillText(text, i * fontSize, drops[i] * fontSize) // Reset drop to top randomly if (drops[i] * fontSize > canvas.height && Math.random() > 1 - density) { drops[i] = 0 } drops[i]++ } } const interval = setInterval(draw, speed) const handleResize = () => { resizeCanvas() // Recalculate columns const newColumns = Math.floor(canvas.width / fontSize) drops.length = newColumns for (let x = drops.length; x < newColumns; x++) { drops[x] = (Math.random() * canvas.height) / fontSize } } window.addEventListener("resize", handleResize) return () => { clearInterval(interval) window.removeEventListener("resize", handleResize) } }, [density, speed]) return

NUMBER HEATMAP

PATTERN ANALYSIS

RISK ADVISOR

PERFORMANCE METRICS

PERFORMANCE METRICS

BETTING STRATEGY SIMULATOR

{sim.strategy}

STREAK ANALYSIS

STREAK ANALYSIS

LONGEST STREAKS (HISTORICAL)

CURRENT ACTIVE STREAKS

STREAK RISK ASSESSMENT

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