- Set signalSource='manual' for Telegram trades, 'tradingview' for TradingView - Updated analytics queries to exclude manual trades from indicator analysis - getTradingStats() filters manual trades (TradingView performance only) - Version comparison endpoint filters manual trades - Created comprehensive filtering guide: docs/MANUAL_TRADE_FILTERING.md - Ensures clean data for indicator optimization without contamination
148 lines
4.7 KiB
TypeScript
148 lines
4.7 KiB
TypeScript
/**
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* Trading Bot v4 - Signal Quality Version Comparison API
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*
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* Returns performance metrics comparing different signal quality scoring versions
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*/
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import { NextResponse } from 'next/server'
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import { getPrismaClient } from '@/lib/database/trades'
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export const dynamic = 'force-dynamic'
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interface VersionStats {
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version: string
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tradeCount: number
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winRate: number
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totalPnL: number
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avgPnL: number
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avgQualityScore: number | null
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avgMFE: number | null
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avgMAE: number | null
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extremePositions: {
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count: number
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avgADX: number | null
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weakADXCount: number
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winRate: number
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avgPnL: number
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}
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}
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export async function GET() {
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try {
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const prisma = getPrismaClient()
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// Get overall stats by version
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const versionStats = await prisma.$queryRaw<Array<{
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version: string | null
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trades: bigint
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wins: bigint
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total_pnl: any
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avg_pnl: any
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avg_quality_score: any
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avg_mfe: any
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avg_mae: any
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}>>`
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SELECT
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COALESCE("indicatorVersion", 'unknown') as version,
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COUNT(*) as trades,
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SUM(CASE WHEN "realizedPnL" > 0 THEN 1 ELSE 0 END) as wins,
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SUM("realizedPnL") as total_pnl,
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AVG("realizedPnL") as avg_pnl,
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AVG("realizedPnL") as avg_pnl,
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ROUND(AVG("signalQualityScore")::numeric, 1) as avg_quality_score,
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ROUND(AVG("maxFavorableExcursion")::numeric, 2) as avg_mfe,
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ROUND(AVG("maxAdverseExcursion")::numeric, 2) as avg_mae
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FROM "Trade"
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WHERE "exitReason" IS NOT NULL
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AND "exitReason" NOT LIKE '%CLEANUP%'
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AND "isTestTrade" = false
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AND ("signalSource" IS NULL OR "signalSource" != 'manual')
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GROUP BY "indicatorVersion"
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ORDER BY version DESC
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`
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// Get extreme position stats by version (< 15% price position)
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const extremePositionStats = await prisma.$queryRaw<Array<{
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version: string | null
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trades: bigint
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wins: bigint
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total_pnl: any
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avg_quality_score: any
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}>>`
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SELECT
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COALESCE("indicatorVersion", 'unknown') as version,
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COUNT(*) as trades,
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SUM(CASE WHEN "realizedPnL" > 0 THEN 1 ELSE 0 END) as wins,
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SUM("realizedPnL") as total_pnl,
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ROUND(AVG("signalQualityScore")::numeric, 1) as avg_quality_score
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FROM "Trade"
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WHERE "exitReason" IS NOT NULL
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AND "exitReason" NOT LIKE '%CLEANUP%'
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AND "isTestTrade" = false
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AND ("signalSource" IS NULL OR "signalSource" != 'manual')
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AND "pricePositionAtEntry" < 15
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GROUP BY "indicatorVersion"
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ORDER BY version DESC
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`
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// Build combined results
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const results: VersionStats[] = versionStats.map(stat => {
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const extremeStats = extremePositionStats.find(e =>
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(e.version || 'unknown') === (stat.version || 'unknown')
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)
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const trades = Number(stat.trades)
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const wins = Number(stat.wins)
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const extremeCount = extremeStats ? Number(extremeStats.trades) : 0
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const extremeWins = extremeStats ? Number(extremeStats.wins) : 0
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return {
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version: stat.version || 'v1',
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tradeCount: trades,
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winRate: trades > 0 ? Math.round((wins / trades) * 100 * 10) / 10 : 0,
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totalPnL: Number(stat.total_pnl) || 0,
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avgPnL: Number(stat.avg_pnl) || 0,
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avgQualityScore: stat.avg_quality_score ? Number(stat.avg_quality_score) : null,
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avgMFE: stat.avg_mfe ? Number(stat.avg_mfe) : null,
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avgMAE: stat.avg_mae ? Number(stat.avg_mae) : null,
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extremePositions: {
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count: extremeCount,
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avgADX: null,
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weakADXCount: 0,
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winRate: extremeCount > 0 ? Math.round((extremeWins / extremeCount) * 100 * 10) / 10 : 0,
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avgPnL: extremeStats?.total_pnl ? Number(extremeStats.total_pnl) / extremeCount : 0,
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}
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}
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})
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// Sort versions: v6 first, then v5, then unknown
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const versionOrder: Record<string, number> = { 'v6': 0, 'v5': 1, 'unknown': 2 }
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results.sort((a, b) => {
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const orderA = versionOrder[a.version] ?? 999
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const orderB = versionOrder[b.version] ?? 999
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return orderA - orderB
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})
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// Get version descriptions
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const versionDescriptions: Record<string, string> = {
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'v5': 'Buy/Sell Signal strategy (pre-Nov 12)',
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'v6': 'HalfTrend + BarColor strategy (Nov 12+)',
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'unknown': 'No indicator version tracked (pre-Nov 12)'
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}
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return NextResponse.json({
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success: true,
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versions: results,
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descriptions: versionDescriptions,
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timestamp: new Date().toISOString()
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})
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} catch (error) {
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console.error('❌ Failed to fetch version comparison:', error)
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return NextResponse.json(
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{ success: false, error: 'Failed to fetch version comparison data' },
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{ status: 500 }
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)
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}
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}
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