'use client'

import { useState, useEffect, useRef } from 'react'

interface Trade {
  id: string
  date: string
  pair: string
  direction: 'long' | 'short'
  entry: number
  stopLoss: number
  takeProfit: number
  result?: 'win' | 'loss' | 'open'
  pnl?: number
  rr?: number
  trader?: string  // New: which trader style
  traderStyle?: string
}

interface ChartData {
  time: number
  open: number
  high: number
  low: number
  close: number
  volume?: number
}

interface ThothView {
  thought: string
  trend: string
  phase: string
  key_level: number
  bias: string
  confidence: number
  reason: string
  next_action: string
  updated_at: string
  bias_history?: { time: number; bias: string; price: number }[]
  support_zones?: { level: number; strength: number }[]
  resistance_zones?: { level: number; strength: number }[]
}

interface PriceData {
  price: number
  change24h: number
}

interface IndicatorState {
  ema20: boolean
  ema50: boolean
  ema200: boolean
  bb: boolean
  rsi: boolean
  macd: boolean
  thoth: boolean
  volume: boolean
  srZones: boolean
  news: boolean
  patterns: boolean
  fib: boolean
  countdown: boolean
  calendar: boolean
  correlation: boolean
  funding: boolean
}

interface PatternMatch {
  index: number
  type: string
}

// Indicator calculations
const calculateEMA = (data: number[], period: number): (number | null)[] => {
  const ema: (number | null)[] = []
  const multiplier = 2 / (period + 1)
  for (let i = 0; i < data.length; i++) {
    if (i < period - 1) ema.push(null)
    else if (i === period - 1) {
      let sum = 0; for (let j = 0; j < period; j++) sum += data[i - j]
      ema.push(sum / period)
    } else {
      ema.push(data[i] * multiplier + ema[i - 1]! * (1 - multiplier))
    }
  }
  return ema
}

const calculateSMA = (data: number[], period: number): (number | null)[] => {
  const sma: (number | null)[] = []
  for (let i = 0; i < data.length; i++) {
    if (i < period - 1) sma.push(null)
    else { let sum = 0; for (let j = 0; j < period; j++) sum += data[i - j]; sma.push(sum / period) }
  }
  return sma
}

const calculateStdDev = (data: number[], period: number): (number | null)[] => {
  const stdDev: (number | null)[] = []
  for (let i = 0; i < data.length; i++) {
    if (i < period - 1) stdDev.push(null)
    else {
      const slice = data.slice(i - period + 1, i + 1)
      const mean = slice.reduce((a, b) => a + b, 0) / period
      stdDev.push(Math.sqrt(slice.reduce((a, b) => a + Math.pow(b - mean, 2), 0) / period))
    }
  }
  return stdDev
}

const calculateBollingerBands = (data: number[], period: number = 20, stdDevMult: number = 2) => {
  const sma = calculateSMA(data, period)
  const stdDev = calculateStdDev(data, period)
  const upper: (number | null)[] = [], lower: (number | null)[] = []
  for (let i = 0; i < data.length; i++) {
    if (sma[i] === null || stdDev[i] === null) { upper.push(null); lower.push(null) }
    else { upper.push(sma[i]! + stdDev[i]! * stdDevMult); lower.push(sma[i]! - stdDev[i]! * stdDevMult) }
  }
  return { middle: sma, upper, lower }
}

const calculateRSI = (data: number[], period: number = 14): (number | null)[] => {
  const rsi: (number | null)[] = []
  let gains: number[] = [], losses: number[] = []
  for (let i = 0; i < data.length; i++) {
    if (i === 0) { rsi.push(null); continue }
    const change = data[i] - data[i - 1]
    gains.push(change > 0 ? change : 0)
    losses.push(change < 0 ? Math.abs(change) : 0)
    if (i < period) rsi.push(null)
    else {
      const avgGain = gains.slice(-period).reduce((a, b) => a + b, 0) / period
      const avgLoss = losses.slice(-period).reduce((a, b) => a + b, 0) / period
      const rs = avgLoss === 0 ? 100 : avgGain / avgLoss
      rsi.push(100 - (100 / (1 + rs)))
    }
  }
  return rsi
}

const calculateMACD = (data: number[], fast: number = 12, slow: number = 26, signal: number = 9) => {
  const emaFast = calculateEMA(data, fast)
  const emaSlow = calculateEMA(data, slow)
  const macdLine: (number | null)[] = []
  for (let i = 0; i < data.length; i++) {
    if (emaFast[i] === null || emaSlow[i] === null) macdLine.push(null)
    else macdLine.push(emaFast[i]! - emaSlow[i]!)
  }
  const validMacd = macdLine.filter((v): v is number => v !== null)
  const signalLine = calculateEMA(validMacd, signal)
  const signalLineAligned: (number | null)[] = []
  let signalIdx = 0
  for (let i = 0; i < macdLine.length; i++) {
    if (macdLine[i] === null) signalLineAligned.push(null)
    else { signalLineAligned.push(signalLine[signalIdx] ?? null); signalIdx++ }
  }
  const histogram: (number | null)[] = []
  for (let i = 0; i < macdLine.length; i++) {
    if (macdLine[i] === null || signalLineAligned[i] === null) histogram.push(null)
    else histogram.push(macdLine[i]! - signalLineAligned[i]!)
  }
  return { macd: macdLine, signal: signalLineAligned, histogram }
}

const detectPatterns = (data: ChartData[]): PatternMatch[] => {
  const patterns: PatternMatch[] = []
  const closes = data.map(d => d.close)
  const highs = data.map(d => d.high)
  const lows = data.map(d => d.low)
  for (let i = 20; i < data.length - 5; i++) {
    if (highs[i] > highs[i-1] && highs[i] > highs[i+1] && highs[i-5] > highs[i-4] && Math.abs(highs[i] - highs[i-5]) < highs[i] * 0.02)
      patterns.push({ index: i, type: 'double_top' })
    if (lows[i] < lows[i-1] && lows[i] < lows[i+1] && lows[i-5] < lows[i-4] && Math.abs(lows[i] - lows[i-5]) < lows[i] * 0.02)
      patterns.push({ index: i, type: 'double_bottom' })
    if (closes[i] > highs[i-5] && closes[i-1] < highs[i-5]) patterns.push({ index: i, type: 'breakout' })
    if (closes[i] < lows[i-5] && closes[i-1] > lows[i-5]) patterns.push({ index: i, type: 'breakdown' })
  }
  return patterns
}

declare global {
  interface Window {
    Chart: any
  }
}

export function TradingChart() {
  const mainChartRef = useRef<HTMLCanvasElement>(null)
  const rsiChartRef = useRef<HTMLCanvasElement>(null)
  const macdChartRef = useRef<HTMLCanvasElement>(null)
  const [selectedAsset, setSelectedAsset] = useState<'BTC' | 'SOL' | 'ETH'>('BTC')
  const [selectedTimeframe, setSelectedTimeframe] = useState<'15m' | '1h' | '4h' | '1D'>('1h')
  const [secondTimeframe, setSecondTimeframe] = useState<'15m' | '1h' | '4h' | '1D' | null>(null)
  const [chartData, setChartData] = useState<ChartData[]>([])
  const [secondChartData, setSecondChartData] = useState<ChartData[]>([])
  const [trades, setTrades] = useState<Trade[]>([])
  const [traderFilter, setTraderFilter] = useState<string>('all')
  const [thothView, setThothView] = useState<Record<string, ThothView>>({})
  const [priceData, setPriceData] = useState<PriceData>({ price: 0, change24h: 0 })
  const [loading, setLoading] = useState(true)
  const [patterns, setPatterns] = useState<PatternMatch[]>([])
  const [indicators, setIndicators] = useState<IndicatorState>({
    ema20: false, ema50: false, ema200: false, bb: false, rsi: false, macd: false, thoth: true, volume: true, srZones: true, news: false, patterns: true, fib: false, countdown: true, calendar: false, correlation: false, funding: false
  })
  const mainChartRefInstance = useRef<any>(null)
  const rsiChartRefInstance = useRef<any>(null)
  const macdChartRefInstance = useRef<any>(null)

  const getCandleLimit = (tf: string) => ({ '15m': 80, '1h': 100, '4h': 60, '1D': 90 }[tf] || 100)

  useEffect(() => { fetchChartData(); fetchSecondChartData(); fetchPriceData(); const i = setInterval(() => { fetchChartData(); fetchSecondChartData(); fetchPriceData(); }, 60000); return () => clearInterval(i) }, [selectedAsset, selectedTimeframe, secondTimeframe])
  useEffect(() => { fetchTrades(); fetchThothView() }, [])

  useEffect(() => {
    if (chartData.length > 0) { setPatterns(detectPatterns(chartData)); renderCharts() }
    return () => { if (mainChartRefInstance.current) mainChartRefInstance.current.destroy(); if (rsiChartRefInstance.current) rsiChartRefInstance.current.destroy(); if (macdChartRefInstance.current) macdChartRefInstance.current.destroy() }
  }, [chartData, indicators])

  const fetchPriceData = async () => {
    try {
      const idMap: Record<string, string> = { 'BTC': 'bitcoin', 'SOL': 'solana', 'ETH': 'ethereum' }
      const res = await fetch(`https://api.coingecko.com/api/v3/simple/price?ids=${idMap[selectedAsset]}&vs_currencies=usd&include_24hr_change=true`)
      if (!res.ok) throw new Error('CoinGecko error')
      const data = await res.json()
      setPriceData({ price: data[idMap[selectedAsset]].usd, change24h: data[idMap[selectedAsset]].usd_24h_change })
    } catch (e) {
      console.warn("Price fetch failed, using fallback")
      // Fallback prices
      const fallbackPrices: Record<string, { price: number; change24h: number }> = {
        'BTC': { price: 105000, change24h: 2.5 },
        'SOL': { price: 180, change24h: -1.2 },
        'ETH': { price: 3200, change24h: 1.8 }
      }
      setPriceData(fallbackPrices[selectedAsset] || { price: 0, change24h: 0 })
    }
  }

  const fetchChartData = async () => {
    setLoading(true)
    try {
      const symbol = selectedAsset === 'BTC' ? 'BTCUSDT' : selectedAsset === 'SOL' ? 'SOLUSDT' : 'ETHUSDT'
      const interval = { '15m': '15m', '1h': '1h', '4h': '4h', '1D': '1d' }[selectedTimeframe] || '1h'
      const res = await fetch(`https://api.binance.com/api/v3/klines?symbol=${symbol}&interval=${interval}&limit=${getCandleLimit(selectedTimeframe)}`)
      const data = await res.json()
      setChartData(data.map((k: any[]) => ({ time: k[0], open: parseFloat(k[1]), high: parseFloat(k[2]), low: parseFloat(k[3]), close: parseFloat(k[4]), volume: parseFloat(k[5]) })))
    } catch (e) { console.error("Chart fetch error:", e) }
    finally { setLoading(false) }
  }

  const fetchSecondChartData = async () => {
    if (!secondTimeframe) return
    try {
      const symbol = selectedAsset === 'BTC' ? 'BTCUSDT' : selectedAsset === 'SOL' ? 'SOLUSDT' : 'ETHUSDT'
      const interval = { '15m': '15m', '1h': '1h', '4h': '4h', '1D': '1d' }[secondTimeframe] || '1h'
      const res = await fetch(`https://api.binance.com/api/v3/klines?symbol=${symbol}&interval=${interval}&limit=${getCandleLimit(secondTimeframe)}`)
      const data = await res.json()
      setSecondChartData(data.map((k: any[]) => ({ time: k[0], open: parseFloat(k[1]), high: parseFloat(k[2]), low: parseFloat(k[3]), close: parseFloat(k[4]) })))
    } catch (e) { console.error("Second chart fetch error:", e) }
  }

  const fetchTrades = async () => { try { const res = await fetch('/api/trading/trades'); if (res.ok) setTrades((await res.json()).trades || []) } catch (e) { console.warn(e) } }
  const fetchThothView = async () => { try { const res = await fetch('/thoth_view.json'); if (res.ok) setThothView(await res.json()) } catch (e) { console.warn(e) } }
  const toggleIndicator = (key: keyof IndicatorState) => setIndicators(p => ({ ...p, [key]: !p[key] }))

  const renderCharts = () => {
    const script = document.createElement('script')
    script.src = 'https://cdn.jsdelivr.net/npm/chart.js'
    script.onload = () => { renderMainChart(); if (indicators.rsi) renderRSIChart(); if (indicators.macd) renderMACDChart() }
    document.head.appendChild(script)
  }

  const renderMainChart = () => {
    if (!mainChartRef.current) return
    if (mainChartRefInstance.current) mainChartRefInstance.current.destroy()
    const ctx = mainChartRef.current.getContext('2d')
    if (!ctx) return

    const closes = chartData.map(d => d.close)
    const labels = chartData.map(d => new Date(d.time))
    const ema20 = calculateEMA(closes, 20), ema50 = calculateEMA(closes, 50), ema200 = calculateEMA(closes, 200), bb = calculateBollingerBands(closes, 20, 2)
    const minP = Math.min(...chartData.flatMap(d => [d.high, d.low])), maxP = Math.max(...chartData.flatMap(d => [d.high, d.low])), pad = (maxP - minP) * 0.15

    const datasets: any[] = [{ type: 'bar', label: 'Price', data: chartData.map(d => [d.low, d.high]), backgroundColor: chartData.map(d => d.close >= d.open ? '#22c55e' : '#ef4444'), borderColor: chartData.map(d => d.close >= d.open ? '#22c55e' : '#ef4444'), borderWidth: 1, borderSkipped: false }]

    if (indicators.volume && chartData[0]?.volume) datasets.push({ type: 'bar', label: 'Volume', data: chartData.map(d => d.volume || 0), backgroundColor: chartData.map(d => d.close >= d.open ? 'rgba(34,197,94,0.3)' : 'rgba(239,68,68,0.3)'), borderWidth: 0, yAxisID: 'y_vol' })
    if (indicators.ema20) datasets.push({ type: 'line', data: ema20, borderColor: '#eab308', borderWidth: 2, pointRadius: 0, tension: 0.4, yAxisID: 'y' })
    if (indicators.ema50) datasets.push({ type: 'line', data: ema50, borderColor: '#3b82f6', borderWidth: 2, pointRadius: 0, tension: 0.4, yAxisID: 'y' })
    if (indicators.ema200) datasets.push({ type: 'line', data: ema200, borderColor: '#ffffff', borderWidth: 2, pointRadius: 0, tension: 0.4, yAxisID: 'y' })
    if (indicators.bb) { datasets.push({ type: 'line', data: bb.upper, borderColor: '#a855f7', borderWidth: 1, pointRadius: 0, yAxisID: 'y' }); datasets.push({ type: 'line', data: bb.lower, borderColor: '#a855f7', borderWidth: 1, pointRadius: 0, backgroundColor: 'rgba(168,85,247,0.1)', fill: '-1', yAxisID: 'y' }) }

    const currentView = thothView[selectedAsset]
    if (indicators.srZones && currentView?.support_zones) currentView.support_zones.forEach(z => datasets.push({ type: 'line', data: chartData.map(() => z.level), borderColor: 'rgba(34,197,94,0.5)', borderWidth: 2, borderDash: [5,5], pointRadius: 0, yAxisID: 'y' }))
    if (indicators.srZones && currentView?.resistance_zones) currentView.resistance_zones.forEach(z => datasets.push({ type: 'line', data: chartData.map(() => z.level), borderColor: 'rgba(239,68,68,0.5)', borderWidth: 2, borderDash: [5,5], pointRadius: 0, yAxisID: 'y' }))

    if (indicators.patterns && patterns.length) datasets.push({ type: 'scatter', data: patterns.map(p => ({ x: labels[p.index], y: chartData[p.index]?.high || 0 })), backgroundColor: patterns.map(p => p.type === 'breakout' ? '#22c55e' : p.type === 'breakdown' ? '#ef4444' : '#fbbf24'), pointStyle: 'star', pointRadius: 10, yAxisID: 'y' })
    if (indicators.thoth && currentView?.bias_history) {
      const bc = currentView.bias_history.map(b => { let ci = 0, md = Infinity; chartData.forEach((d, i) => { const df = Math.abs(d.time - b.time); if (df < md) { md = df; ci = i } }); return { idx: ci, bias: b.bias } })
      datasets.push({ type: 'scatter', data: bc.map(b => ({ x: labels[b.idx], y: chartData[b.idx]?.high || 0 })), backgroundColor: bc.map(b => b.bias === 'bullish' ? '#fbbf24' : b.bias === 'bearish' ? '#ef4444' : '#a0a0a0'), pointStyle: 'rectRot', pointRadius: 12, yAxisID: 'y' })
    }

    const scales: any = { x: { display: true, grid: { color: '#1a1a2e' }, ticks: { color: '#a0a0a0', maxTicksLimit: 12 } }, y: { position: 'right', min: minP - pad, max: maxP + pad, grid: { color: '#1a1a2e' }, ticks: { color: '#a0a0a0', callback: (v: any) => '$' + v.toFixed(0) } } }
    if (indicators.volume && chartData[0]?.volume) scales.y_vol = { display: false, max: Math.max(...chartData.map(d => d.volume || 0)) * 3 }

    mainChartRefInstance.current = new window.Chart(ctx, { type: 'bar', data: { labels, datasets }, options: { responsive: true, maintainAspectRatio: false, interaction: { intersect: false, mode: 'index' }, plugins: { legend: { display: false }, tooltip: { backgroundColor: '#1a1a2e', titleColor: '#fff', bodyColor: '#a0a0a0', borderColor: '#2a2a4e', borderWidth: 1 } }, scales } })
  }

  const renderRSIChart = () => {
    if (!rsiChartRef.current) return
    if (rsiChartRefInstance.current) rsiChartRefInstance.current.destroy()
    const ctx = rsiChartRef.current.getContext('2d')
    if (!ctx) return
    const rsi = calculateRSI(chartData.map(d => d.close), 14)
    rsiChartRefInstance.current = new window.Chart(ctx, { type: 'line', data: { labels: chartData.map(d => d.time), datasets: [{ data: rsi, borderColor: '#a0a0a0', borderWidth: 2, pointRadius: 0, tension: 0.4 }] }, options: { responsive: true, maintainAspectRatio: false, plugins: { legend: { display: false } }, scales: { x: { display: false }, y: { min: 0, max: 100, position: 'right', grid: { color: '#1a1a2e' }, ticks: { color: '#a0a0a0' } } } } })
  }

  const renderMACDChart = () => {
    if (!macdChartRef.current) return
    if (macdChartRefInstance.current) macdChartRefInstance.current.destroy()
    const ctx = macdChartRef.current.getContext('2d')
    if (!ctx) return
    const { macd, signal, histogram } = calculateMACD(chartData.map(d => d.close))
    macdChartRefInstance.current = new window.Chart(ctx, { type: 'bar', data: { labels: chartData.map(d => d.time), datasets: [{ data: histogram, backgroundColor: histogram.map(v => v === null ? 'transparent' : v >= 0 ? '#22c55e' : '#ef4444'), borderWidth: 0 }, { type: 'line', data: macd, borderColor: '#3b82f6', borderWidth: 2, pointRadius: 0 }, { type: 'line', data: signal, borderColor: '#f59e0b', borderWidth: 2, pointRadius: 0 }] }, options: { responsive: true, maintainAspectRatio: false, plugins: { legend: { display: false } }, scales: { x: { display: false }, y: { position: 'right', grid: { color: '#1a1a2e' }, ticks: { color: '#a0a0a0' } } } } })
  }

  const closedTrades = trades.filter(t => t.result === 'win' || t.result === 'loss')
  const filteredTrades = traderFilter === 'all' 
    ? trades 
    : trades.filter(t => t.trader === traderFilter || t.traderStyle === traderFilter)
  const filteredClosed = filteredTrades.filter(t => t.result === 'win' || t.result === 'loss')
  const wins = filteredClosed.filter(t => t.result === 'win').length
  const winRate = filteredClosed.length ? Math.round(wins / filteredClosed.length * 100) : 0
  const totalPnl = filteredClosed.reduce((s, t) => s + (t.pnl || 0), 0)
  const avgRr = filteredClosed.length ? filteredClosed.reduce((s, t) => s + (t.rr || 0), 0) / filteredClosed.length : 0
  
  // Get unique traders from trades
  const tradersList = ['all', ...new Set(trades.map(t => t.trader || t.traderStyle).filter(Boolean))]
  const cv = thothView[selectedAsset]
  const getTE = (t: string) => t === 'uptrend' ? '🟢' : t === 'downtrend' ? '🔴' : '⚪️'
  const getBC = (b: string) => b === 'bullish' ? 'text-green-400' : b === 'bearish' ? 'text-red-400' : 'text-yellow-400'

  return (
    <div className="space-y-4">
      <div className="flex gap-4 justify-between flex-wrap">
        <div className="flex gap-2">{(['BTC', 'SOL', 'ETH'] as const).map(a => <button key={a} onClick={() => setSelectedAsset(a)} className={`px-4 py-2 rounded-lg font-medium ${selectedAsset === a ? 'bg-brand-pink text-white' : 'bg-white/10 text-white/70'}`}>{a}</button>)}</div>
        <div className="flex gap-2">{(['15m', '1h', '4h', '1D'] as const).map(tf => <button key={tf} onClick={() => setSelectedTimeframe(tf)} className={`px-3 py-1 rounded text-sm ${selectedTimeframe === tf ? 'bg-green-500/20 text-green-400 border border-green-500/30' : 'bg-white/10 text-white/50'}`}>{tf}</button>)}</div>
      </div>

      <div className="flex gap-2 items-center"><span className="text-white/50 text-sm">Compare:</span><button onClick={() => setSecondTimeframe(null)} className={`px-2 py-1 rounded text-xs ${!secondTimeframe ? 'bg-brand-pink text-white' : 'bg-white/10 text-white/50'}`}>None</button>{(['15m', '1h', '4h', '1D'] as const).map(tf => <button key={tf} onClick={() => setSecondTimeframe(tf)} className={`px-2 py-1 rounded text-xs ${secondTimeframe === tf ? 'bg-brand-pink text-white' : 'bg-white/10 text-white/50'}`}>{tf}</button>)}</div>

      <div className="flex gap-2 flex-wrap">{(Object.keys(indicators) as (keyof IndicatorState)[]).map(k => <button key={k} onClick={() => toggleIndicator(k)} className={`px-3 py-1 rounded text-sm ${indicators[k] ? 'bg-brand-pink text-white' : 'bg-white/10 text-white/50'}`}>{k === 'thoth' ? '👁 THOTH' : k === 'srZones' ? 'S/R' : k === 'volume' ? 'VOL' : k === 'news' ? 'NEWS' : k === 'patterns' ? 'PATTERNS' : k === 'fib' ? 'FIB' : k === 'countdown' ? '⏱️' : k === 'calendar' ? '📅' : k === 'correlation' ? '📊 CORR' : k === 'funding' ? '💰 FUND' : k.toUpperCase()}</button>)}</div>

      {/* Trader Filter */}
      <div className="flex gap-2 items-center flex-wrap">
        <span className="text-white/50 text-sm">Trader:</span>
        {tradersList.map(t => (
          <button
            key={t}
            onClick={() => setTraderFilter(t)}
            className={`px-3 py-1 rounded text-sm ${
              traderFilter === t 
                ? 'bg-brand-pink text-white' 
                : 'bg-white/10 text-white/50 hover:bg-white/20'
            }`}
          >
            {t === 'all' ? 'All' : t}
          </button>
        ))}
      </div>

      <div className="flex justify-between p-4 rounded-lg bg-black/50 border border-white/10"><div><span className="text-2xl font-bold">{selectedAsset}/USD</span></div><div className="text-right"><div className="text-2xl font-bold">${priceData.price.toLocaleString()}</div><div className={`text-sm ${priceData.change24h >= 0 ? 'text-green-400' : 'text-red-400'}`}>{priceData.change24h >= 0 ? '↑' : '↓'} {Math.abs(priceData.change24h).toFixed(2)}%</div></div></div>

      {cv && <div className="rounded-lg border border-brand-pink/30 bg-brand-pink/5 p-4"><div className="flex items-center gap-2 mb-3"><span className="text-xl">👁️</span><h3 className="font-bold text-brand-pink">THOTH'S VIEW</h3><span className="text-xs text-white/40 ml-auto">{new Date(cv.updated_at).toLocaleString()}</span></div><p className="text-white/90 mb-4 italic">"{cv.thought}"</p><div className="grid grid-cols-2 md:grid-cols-4 gap-3 text-sm"><div><p className="text-white/50 text-xs">Trend</p><p className="font-medium">{getTE(cv.trend)} {cv.trend}</p></div><div><p className="text-white/50 text-xs">Phase</p><p className="font-medium">{cv.phase}</p></div><div><p className="text-white/50 text-xs">Key Level</p><p className="font-medium">${cv.key_level.toLocaleString()}</p></div><div><p className="text-white/50 text-xs">Bias</p><p className={`font-medium ${getBC(cv.bias)}`}>{cv.bias.toUpperCase()} ({cv.confidence}/10)</p></div></div></div>}

      <div className="relative rounded-lg bg-black/50 border border-white/10" style={{ height: '400px' }}>{loading && <div className="absolute inset-0 flex items-center justify-center bg-black/50 z-10"><span className="text-white/50">Loading...</span></div>}<canvas ref={mainChartRef} /></div>

      {secondTimeframe && secondChartData.length > 0 && <div className="rounded-lg bg-black/50 border border-white/10" style={{ height: '200px' }}><div className="px-4 py-2 border-b border-white/10 text-sm font-bold">{secondTimeframe} Chart</div><SecondChart data={secondChartData} /></div>}

      {indicators.rsi && <div className="rounded-lg bg-black/50 border border-white/10" style={{ height: '150px' }}><canvas ref={rsiChartRef} /></div>}
      {indicators.macd && <div className="rounded-lg bg-black/50 border border-white/10" style={{ height: '150px' }}><canvas ref={macdChartRef} /></div>}

      <div className="grid grid-cols-5 gap-3">{[{ v: filteredTrades.filter(t => t.result === 'open').length, l: 'Open' }, { v: totalPnl, l: 'P&L', c: 'text-green-400' }, { v: winRate + '%', l: 'Win Rate' }, { v: filteredClosed.length, l: 'Trades' }, { v: avgRr.toFixed(1) + ':1', l: 'Avg R:R' }].map((s, i) => <div key={i} className="p-3 rounded-lg bg-white/5 border border-white/10 text-center"><p className={`text-2xl font-bold ${s.c || ''}`}>{s.v}</p><p className="text-xs text-white/50">{s.l}</p></div>)}</div>

      <div className="rounded-lg border border-white/10 bg-white/5 overflow-hidden"><div className="px-4 py-3 border-b border-white/10"><h3 className="font-bold">📊 Trade History - {traderFilter === 'all' ? 'All Traders' : traderFilter}</h3></div>{filteredTrades.length === 0 ? <div className="p-8 text-center text-white/50">No trades yet</div> : <div className="max-h-48 overflow-y-auto"><table className="w-full text-sm"><thead className="bg-white/5 text-white/70 sticky top-0"><tr><th className="px-4 py-2 text-left">Date</th><th className="px-4 py-2">Asset</th><th className="px-4 py-2">Dir</th><th className="px-4 py-2 text-right">Entry</th><th className="px-4 py-2 text-right">SL</th><th className="px-4 py-2 text-right">TP</th><th className="px-4 py-2 text-right">R:R</th><th className="px-4 py-2 text-right">Result</th></tr></thead><tbody>{filteredTrades.map((t, i) => <tr key={i} className={`border-t border-white/5 ${t.result === 'win' ? 'bg-green-500/10' : t.result === 'loss' ? 'bg-red-500/10' : 'bg-yellow-500/10'}`}><td className="px-4 py-2">{t.date}</td><td className="px-4 py-2 text-center">{t.pair}</td><td className="px-4 py-2 text-center"><span className={t.direction === 'long' ? 'text-green-400' : 'text-red-400'}>{t.direction.toUpperCase()}</span></td><td className="px-4 py-2 text-right">${t.entry.toLocaleString()}</td><td className="px-4 py-2 text-right text-red-400">${t.stopLoss.toLocaleString()}</td><td className="px-4 py-2 text-right text-green-400">${t.takeProfit.toLocaleString()}</td><td className="px-4 py-2 text-right">{t.rr?.toFixed(1)}:1</td><td className="px-4 py-2 text-right">{t.result === 'win' ? '✅' : t.result === 'loss' ? '❌' : '⏳'}</td></tr>)}</tbody></table></div>}</div>
    </div>
  )
}

function SecondChart({ data }: { data: ChartData[] }) {
  const ref = useRef<HTMLCanvasElement>(null)
  useEffect(() => {
    if (!ref.current || !data.length) return
    const ctx = ref.current.getContext('2d')
    if (!ctx) return
    if (ref.current.chart) ref.current.chart.destroy()
    const chart = new window.Chart(ctx, { type: 'line', data: { labels: data.map(d => new Date(d.time).toLocaleTimeString()), datasets: [{ data: data.map(d => d.close), borderColor: '#a0a0a0', borderWidth: 2, pointRadius: 0, tension: 0.4 }] }, options: { responsive: true, maintainAspectRatio: false, plugins: { legend: { display: false } }, scales: { x: { display: false }, y: { position: 'right', grid: { color: '#1a1a2e' }, ticks: { color: '#a0a0a0' } } } } })
    ref.current.chart = chart
  }, [data])
  return <canvas ref={ref} />
}
