- Integrated SimplifiedStopLossLearner into automation - Every AI decision now recorded for learning (stop loss, take profit, confidence) - Trade outcomes tracked and compared to AI predictions - Learning patterns improve future AI decisions - Enhanced status dashboard with learning insights - Proper DCA: increase position size + adjust existing SL/TP (not create new) - AI-calculated optimal levels for scaled positions - Prevents order fragmentation (fixes 24+ order problem) - Unified risk management for entire scaled position TIMEFRAME-AWARE INTERVALS: - Scalping (5m/15m): 5-15 minute analysis intervals - Day Trading (1h/4h): 10-30 minute intervals - Swing Trading (4h/1d): 23-68 minute intervals - Perfect for 5-minute scalping with DCA protection - 2-hour DCA cooldown prevents order spam - Position existence checks before new trades - Direction matching validation - Learning-based decision improvements - AI calculates ALL levels (entry, SL, TP, leverage, scaling) - Every calculation recorded and learned from - Position scaling uses AI intelligence - Timeframe-appropriate analysis frequency - Professional order management - Continuous learning and improvement ADDRESSES ALL USER CONCERNS: - 5-minute scalping compatibility ✅ - Position scaling DCA (adjust existing SL/TP) ✅ - AI calculations being learned from ✅ - No order fragmentation ✅ - Intelligent automation with learning ✅ Files: automation, consolidation APIs, learning integration, tests, documentation
82 lines
2.8 KiB
JavaScript
82 lines
2.8 KiB
JavaScript
import { NextResponse } from 'next/server';
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export async function POST(request) {
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try {
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const body = await request.json();
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const { dryRun = true, analysis = null } = body;
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console.log('🧹 CONSOLIDATING POSITION ORDERS');
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console.log(`Mode: ${dryRun ? 'DRY RUN' : 'LIVE EXECUTION'}`);
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console.log(`AI Analysis: ${analysis ? 'Provided - Using AI optimal levels' : 'Not provided - Using adaptive levels'}`);
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// Get current position data
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const positionsResponse = await fetch('http://localhost:9001/api/drift/positions');
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const positionsData = await positionsResponse.json();
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if (!positionsData.success || !positionsData.positions.length) {
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return NextResponse.json({
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success: false,
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error: 'No active positions found to consolidate'
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}, { status: 400 });
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}
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const position = positionsData.positions[0]; // Get first position
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// Import the consolidator
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const PositionConsolidator = await import('../../../../lib/position-consolidator.js');
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if (dryRun) {
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// Dry run: analyze only with AI analysis if provided
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const consolidatedPlan = await PositionConsolidator.default.analyzeAndConsolidate(analysis);
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return NextResponse.json({
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success: true,
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mode: 'dry_run',
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plan: consolidatedPlan,
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message: analysis ? 'AI-optimized consolidation plan ready' : 'Adaptive consolidation plan ready',
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position: {
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symbol: position.symbol,
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side: position.side,
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size: position.size,
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entryPrice: position.entryPrice
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}
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});
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} else {
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// Live execution with AI analysis if provided
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const consolidationResult = await PositionConsolidator.default.executeConsolidation(analysis);
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if (consolidationResult.success) {
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return NextResponse.json({
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success: true,
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message: analysis ? 'Position consolidated using AI optimal levels' : 'Position consolidated using adaptive levels',
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consolidation: {
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ordersBefore: consolidationResult.ordersBefore,
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ordersAfter: consolidationResult.ordersAfter,
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position: {
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symbol: position.symbol,
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side: position.side,
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size: position.size,
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entryPrice: position.entryPrice
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}
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},
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orders: consolidationResult.results
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});
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} else {
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return NextResponse.json({
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success: false,
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error: consolidationResult.error
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}, { status: 500 });
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}
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}
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} catch (error) {
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console.error('❌ Position consolidation error:', error);
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return NextResponse.json({
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success: false,
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error: 'Failed to consolidate position',
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details: error.message
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}, { status: 500 });
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}
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}
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