feat: implement 24/7 server-side automation with AI learning integration
Core Features: - True 24/7 automation runs without browser dependency - Server-side process in Docker container - Auto-executes paper trades with ≥60% confidence - Integrates with existing AI learning system - Safe paper trading mode only (zero real money risk) - working-24x7.js: Main automation process (currently running) - check-automation.js: Status monitoring and health checks - app/api/safe-paper-trading/create-trade/route.js: Paper trade API - app/api/automation-24x7/route.js: Automation control API - Fixed continuous learning state persistence issues - Added force enable function for debugging: window.forceEnableLearning() - Enhanced state restoration logic with immediate and delayed checks - Auto-execute toggle now properly unlocks when continuous learning active - System running successfully (PID: 3922502) - Already executed first automated paper trade (80% confidence SELL) - Scheduled to run every 60 minutes automatically - Logs all activity for monitoring and debugging ical Implementation: - Uses curl for HTTP requests (no fetch dependencies) - Background process with proper signal handling - Comprehensive error handling and logging - Integration with existing analysis pipeline - Maintains compatibility with browser-based safe paper trading This completes the 24/7 automation requirement - system now runs continuously in Docker container without requiring browser tabs to remain open.
This commit is contained in:
76
app/api/automation-24x7/route.js
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76
app/api/automation-24x7/route.js
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@@ -0,0 +1,76 @@
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import { NextResponse } from 'next/server'
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// Import the 24/7 automation service
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let automation24x7
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try {
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const automationModule = require('../../../../start-24-7-automation.js')
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automation24x7 = automationModule.automation24x7
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} catch (error) {
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console.error('❌ Could not load 24/7 automation service:', error.message)
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}
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export async function POST(request) {
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try {
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if (!automation24x7) {
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return NextResponse.json({
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success: false,
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message: '24/7 automation service not available'
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}, { status: 500 })
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}
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const { action, config } = await request.json()
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if (action === 'start') {
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// Update config if provided
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if (config) {
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Object.assign(automation24x7.config, config)
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}
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const result = await automation24x7.start()
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return NextResponse.json(result)
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} else if (action === 'stop') {
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const result = await automation24x7.stop()
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return NextResponse.json(result)
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} else {
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return NextResponse.json({
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success: false,
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message: 'Invalid action. Use "start" or "stop"'
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}, { status: 400 })
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}
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} catch (error) {
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console.error('❌ 24/7 automation control error:', error)
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return NextResponse.json({
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success: false,
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message: 'Failed to control automation',
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error: error.message
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}, { status: 500 })
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}
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}
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export async function GET(request) {
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try {
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if (!automation24x7) {
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return NextResponse.json({
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success: false,
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message: '24/7 automation service not available'
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}, { status: 500 })
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}
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const status = automation24x7.getStatus()
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return NextResponse.json({
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success: true,
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automation: status
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})
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} catch (error) {
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console.error('❌ 24/7 automation status error:', error)
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return NextResponse.json({
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success: false,
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message: 'Failed to get automation status',
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error: error.message
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}, { status: 500 })
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}
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}
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111
app/api/safe-paper-trading/create-trade/route.js
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111
app/api/safe-paper-trading/create-trade/route.js
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@@ -0,0 +1,111 @@
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import { NextResponse } from 'next/server'
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// Simple in-memory storage for paper trades (in production, use database)
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let paperTrades = []
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let tradeIdCounter = 1
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export async function POST(request) {
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try {
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const tradeData = await request.json()
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// Validate required fields
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const required = ['symbol', 'side', 'amount', 'entry', 'confidence']
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for (const field of required) {
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if (!tradeData[field]) {
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return NextResponse.json({
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success: false,
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message: `Missing required field: ${field}`
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}, { status: 400 })
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}
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}
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// Create paper trade
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const trade = {
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id: `PAPER_${Date.now()}_${tradeIdCounter++}`,
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symbol: tradeData.symbol,
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side: tradeData.side,
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amount: tradeData.amount,
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entry: tradeData.entry,
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stopLoss: tradeData.stopLoss,
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takeProfit: tradeData.takeProfit,
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confidence: tradeData.confidence,
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reasoning: tradeData.reasoning,
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source: tradeData.source || 'manual',
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status: 'OPEN',
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createdAt: new Date().toISOString(),
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pnl: 0,
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fees: 0
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}
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// Store trade
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paperTrades.push(trade)
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console.log(`📄 Paper trade created: ${trade.id} - ${trade.side} ${trade.symbol} at $${trade.entry} (${trade.confidence}% confidence)`)
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// Log to AI learning system if available
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try {
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const learningData = {
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id: `decision_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
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symbol: trade.symbol,
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timeframe: '60',
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side: trade.side,
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confidence: trade.confidence,
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entry: trade.entry,
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stopLoss: trade.stopLoss,
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takeProfit: trade.takeProfit,
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reasoning: trade.reasoning,
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source: 'paper_trade_automation',
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createdAt: new Date().toISOString()
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}
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// Store in learning system (try to call learning API)
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fetch('http://localhost:9001/api/ai-learning/record-decision', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify(learningData)
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}).catch(error => {
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console.log('⚠️ Could not log to learning system:', error.message)
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})
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} catch (error) {
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console.log('⚠️ Learning system integration error:', error.message)
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}
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return NextResponse.json({
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success: true,
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message: 'Paper trade created successfully',
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trade: trade
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})
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} catch (error) {
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console.error('❌ Create paper trade error:', error)
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return NextResponse.json({
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success: false,
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message: 'Failed to create paper trade',
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error: error.message
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}, { status: 500 })
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}
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}
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export async function GET(request) {
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try {
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// Return all paper trades
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return NextResponse.json({
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success: true,
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trades: paperTrades,
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summary: {
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total: paperTrades.length,
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open: paperTrades.filter(t => t.status === 'OPEN').length,
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closed: paperTrades.filter(t => t.status === 'CLOSED').length,
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totalPnL: paperTrades.reduce((sum, t) => sum + (t.pnl || 0), 0)
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}
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})
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} catch (error) {
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console.error('❌ Get paper trades error:', error)
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return NextResponse.json({
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success: false,
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message: 'Failed to get paper trades',
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error: error.message
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}, { status: 500 })
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}
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}
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@@ -147,18 +147,42 @@ export default function SafePaperTradingPage() {
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if (savedContinuousLearning === 'true') {
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console.log('🔄 Restoring continuous learning state...')
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setContinuousLearning(true)
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// Force restart continuous learning immediately
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setTimeout(() => {
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console.log('🎓 Starting continuous learning from restored state')
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startContinuousLearning()
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}, 2000)
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}, 1000) // Reduced delay
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} else {
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console.log('💡 No continuous learning state found - user needs to start manually')
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}
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} catch (error) {
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console.error('⚠️ Error checking continuous learning state:', error)
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}
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}
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// Check state after a short delay to ensure everything is loaded
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setTimeout(checkContinuousLearningState, 1000)
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// Force enable learning for testing - DEBUG FUNCTION
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const forceEnableLearning = () => {
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console.log('🔧 FORCE ENABLING CONTINUOUS LEARNING...')
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localStorage.setItem('safePaperTrading_continuousLearning', 'true')
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setContinuousLearning(true)
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setTimeout(() => {
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console.log('🎓 Force starting continuous learning')
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startContinuousLearning()
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}, 500)
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console.log('✅ Continuous learning forcefully enabled')
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}
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// Check state immediately
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checkContinuousLearningState()
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// Expose force enable function to browser console for debugging
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if (typeof window !== 'undefined') {
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window.forceEnableLearning = forceEnableLearning
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console.log('🔧 Debug function exposed: window.forceEnableLearning()')
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}
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// Also check after a short delay to ensure everything is loaded
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setTimeout(checkContinuousLearningState, 2000)
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}, [])
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// Persist analysis data whenever it changes
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@@ -810,51 +834,6 @@ export default function SafePaperTradingPage() {
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</div>
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</div>
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{/* AI LEARNING SETUP NOTICE */}
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{!continuousLearning || !autoExecuteTrades ? (
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<div className="bg-blue-900/30 border border-blue-600 rounded-lg p-4">
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<h3 className="text-blue-400 font-bold text-lg mb-2">🤖 Enable AI Learning from Virtual Trading</h3>
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<div className="text-sm text-blue-300 mb-3">
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<strong>Current Issue:</strong> AI is analyzing but not learning from outcomes because virtual trading is not enabled.
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</div>
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<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
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<div className="bg-blue-800/30 rounded p-3">
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<h4 className="text-blue-300 font-medium mb-1">Step 1: Enable Continuous Learning</h4>
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<p className="text-xs text-blue-200">
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{continuousLearning ? '✅ Enabled' : '❌ Click "🎓 Start Learning" button below'}
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</p>
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</div>
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<div className="bg-blue-800/30 rounded p-3">
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<h4 className="text-blue-300 font-medium mb-1">Step 2: Enable Auto-Execute</h4>
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<p className="text-xs text-blue-200">
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{autoExecuteTrades ? '✅ Enabled' : continuousLearning ? '❌ Enable "Auto-Execute Trades" below' : '⏸️ Waiting for Step 1'}
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</p>
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</div>
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</div>
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<div className="mt-3 text-xs text-blue-300 bg-blue-800/20 px-3 py-2 rounded">
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<strong>Result:</strong> AI will automatically execute virtual trades → track outcomes → learn patterns → improve over time
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</div>
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</div>
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) : (
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<div className="bg-green-900/30 border border-green-600 rounded-lg p-4">
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<h3 className="text-green-400 font-bold text-lg mb-2">✅ AI Learning System Active</h3>
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<div className="grid grid-cols-1 md:grid-cols-3 gap-4 text-sm">
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<div className="text-green-300">
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<span className="font-medium">🎓 Continuous Learning:</span> ON
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</div>
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<div className="text-green-300">
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<span className="font-medium">🤖 Auto-Execute:</span> ON
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</div>
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<div className="text-green-300">
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<span className="font-medium">📈 Virtual Trading:</span> Active
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</div>
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</div>
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<div className="mt-2 text-xs text-green-300">
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🧠 AI will automatically execute virtual trades based on analysis and learn from outcomes to improve performance
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</div>
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</div>
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)}
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{/* Header with Balance */}
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<div className="bg-gray-800/50 rounded-lg p-6 border border-gray-700">
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<div className="flex items-center justify-between mb-4">
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@@ -995,49 +974,32 @@ export default function SafePaperTradingPage() {
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</button>
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</div>
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{/* Auto-Execute Toggle - Show always, but disabled until continuous learning is active */}
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<div className="mt-4 p-3 bg-gray-800 rounded-lg border border-gray-700">
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<div className="flex items-center justify-between">
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<div className="flex flex-col">
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<span className="text-sm font-medium text-gray-300">Auto-Execute Trades</span>
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<span className="text-xs text-gray-400">
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{continuousLearning
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? "Automatically execute paper trades based on AI recommendations (≥60% confidence)"
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: "⚠️ Enable Continuous Learning first to activate auto-execute virtual trading"
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}
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</span>
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{/* Auto-Execute Toggle - Only show when continuous learning is active */}
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{continuousLearning && (
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<div className="mt-4 p-3 bg-gray-800 rounded-lg border border-gray-700">
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<div className="flex items-center justify-between">
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<div className="flex flex-col">
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<span className="text-sm font-medium text-gray-300">Auto-Execute Trades</span>
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<span className="text-xs text-gray-400">Automatically execute paper trades based on AI recommendations (≥60% confidence)</span>
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</div>
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<button
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onClick={() => setAutoExecuteTrades(!autoExecuteTrades)}
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className={`ml-4 px-4 py-2 rounded-lg font-medium transition-all duration-200 ${
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autoExecuteTrades
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? 'bg-green-600 hover:bg-green-700 text-white'
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: 'bg-gray-600 hover:bg-gray-700 text-white'
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}`}
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>
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{autoExecuteTrades ? '🤖 ON' : '📄 Manual'}
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</button>
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</div>
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<button
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onClick={() => {
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if (!continuousLearning) {
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alert('Please enable Continuous Learning first to activate auto-execute virtual trading!')
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return
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}
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setAutoExecuteTrades(!autoExecuteTrades)
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}}
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disabled={!continuousLearning}
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className={`ml-4 px-4 py-2 rounded-lg font-medium transition-all duration-200 ${
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!continuousLearning
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? 'bg-gray-500 text-gray-400 cursor-not-allowed opacity-50'
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: autoExecuteTrades
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? 'bg-green-600 hover:bg-green-700 text-white'
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: 'bg-gray-600 hover:bg-gray-700 text-white'
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}`}
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>
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{!continuousLearning ? '🔒 Locked' : autoExecuteTrades ? '🤖 ON' : '📄 Manual'}
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</button>
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{autoExecuteTrades && (
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<div className="mt-2 text-xs text-yellow-400">
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⚡ Paper trades will be executed automatically when AI recommends BUY/SELL with ≥60% confidence
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</div>
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)}
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</div>
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{autoExecuteTrades && continuousLearning && (
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<div className="mt-2 text-xs text-yellow-400">
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⚡ Paper trades will be executed automatically when AI recommends BUY/SELL with ≥60% confidence
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</div>
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)}
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{!continuousLearning && (
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<div className="mt-2 text-xs text-blue-400 bg-blue-900/20 px-2 py-1 rounded">
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💡 <strong>For AI Learning:</strong> Enable "Continuous Learning" + "Auto-Execute" so the AI can learn from virtual trade outcomes
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</div>
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)}
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</div>
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)}
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</div>
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</div>
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271
automation-daemon.js
Normal file
271
automation-daemon.js
Normal file
@@ -0,0 +1,271 @@
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#!/usr/bin/env node
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/**
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* Simple 24/7 Background Automation Daemon
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* Runs as a background process in Docker container
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*/
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const { spawn } = require('child_process');
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const fs = require('fs').promises;
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const path = require('path');
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class BackgroundAutomation {
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constructor() {
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this.logFile = '/tmp/automation-24x7.log';
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this.pidFile = '/tmp/automation-24x7.pid';
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this.config = {
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symbol: 'SOLUSD',
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timeframe: '60',
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intervalMinutes: 60,
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autoExecuteThreshold: 60
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};
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}
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async log(message) {
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const timestamp = new Date().toISOString();
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const logEntry = `[${timestamp}] ${message}\n`;
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console.log(logEntry.trim());
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try {
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await fs.appendFile(this.logFile, logEntry);
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} catch (error) {
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// Ignore file errors
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}
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}
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async isRunning() {
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try {
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const pidData = await fs.readFile(this.pidFile, 'utf8');
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const pid = parseInt(pidData.trim());
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// Check if process exists
|
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try {
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process.kill(pid, 0); // Signal 0 checks if process exists
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return { running: true, pid };
|
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} catch (error) {
|
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// Process doesn't exist
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await fs.unlink(this.pidFile).catch(() => {});
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return { running: false, pid: null };
|
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}
|
||||
} catch (error) {
|
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return { running: false, pid: null };
|
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}
|
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}
|
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|
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async start() {
|
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const status = await this.isRunning();
|
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if (status.running) {
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await this.log(`⚠️ Automation already running (PID: ${status.pid})`);
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return { success: false, message: 'Already running', pid: status.pid };
|
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}
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|
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await this.log('🚀 Starting 24/7 Background Automation...');
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|
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// Start the main automation loop
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this.startAutomationLoop();
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|
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await this.log(`✅ Automation started (PID: ${process.pid})`);
|
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return { success: true, message: 'Started', pid: process.pid };
|
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}
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|
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async startAutomationLoop() {
|
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// Save PID
|
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await fs.writeFile(this.pidFile, process.pid.toString());
|
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|
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// Handle cleanup on exit
|
||||
process.on('SIGTERM', () => this.cleanup());
|
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process.on('SIGINT', () => this.cleanup());
|
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process.on('exit', () => this.cleanup());
|
||||
|
||||
let cycleCount = 0;
|
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|
||||
// Main automation loop
|
||||
const runCycle = async () => {
|
||||
try {
|
||||
cycleCount++;
|
||||
await this.log(`🔄 Starting analysis cycle #${cycleCount}`);
|
||||
|
||||
// Get analysis
|
||||
const analysis = await this.getAnalysis();
|
||||
if (analysis && analysis.confidence >= this.config.autoExecuteThreshold) {
|
||||
await this.log(`🎯 Executing trade: ${analysis.recommendation} (${analysis.confidence}% confidence)`);
|
||||
await this.createPaperTrade(analysis);
|
||||
} else if (analysis) {
|
||||
await this.log(`⏸️ No trade: ${analysis.recommendation} (${analysis.confidence}% confidence < ${this.config.autoExecuteThreshold}% threshold)`);
|
||||
}
|
||||
|
||||
} catch (error) {
|
||||
await this.log(`❌ Cycle error: ${error.message}`);
|
||||
}
|
||||
};
|
||||
|
||||
// Run first cycle immediately
|
||||
await runCycle();
|
||||
|
||||
// Schedule recurring cycles
|
||||
setInterval(runCycle, this.config.intervalMinutes * 60 * 1000);
|
||||
|
||||
await this.log(`⏰ Scheduled to run every ${this.config.intervalMinutes} minutes`);
|
||||
}
|
||||
|
||||
async getAnalysis() {
|
||||
try {
|
||||
// Use curl to avoid fetch dependencies
|
||||
const { exec } = require('child_process');
|
||||
const { promisify } = require('util');
|
||||
const execAsync = promisify(exec);
|
||||
|
||||
const { stdout } = await execAsync(`curl -s "http://localhost:9001/api/ai-analysis/latest?symbol=${this.config.symbol}&timeframe=${this.config.timeframe}"`);
|
||||
|
||||
const data = JSON.parse(stdout);
|
||||
|
||||
if (data.success && data.data && data.data.analysis) {
|
||||
return data.data.analysis;
|
||||
}
|
||||
|
||||
return null;
|
||||
} catch (error) {
|
||||
await this.log(`❌ Analysis error: ${error.message}`);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
async createPaperTrade(analysis) {
|
||||
try {
|
||||
// Use curl to avoid fetch dependencies
|
||||
const { exec } = require('child_process');
|
||||
const { promisify } = require('util');
|
||||
const execAsync = promisify(exec);
|
||||
|
||||
const tradeData = {
|
||||
symbol: this.config.symbol,
|
||||
side: analysis.recommendation,
|
||||
amount: 100,
|
||||
entry: analysis.entry,
|
||||
stopLoss: analysis.stopLoss,
|
||||
takeProfit: analysis.takeProfit,
|
||||
confidence: analysis.confidence,
|
||||
reasoning: analysis.reasoning,
|
||||
source: '24x7_daemon'
|
||||
};
|
||||
|
||||
const curlCommand = `curl -s -X POST http://localhost:9001/api/safe-paper-trading/create-trade \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '${JSON.stringify(tradeData)}'`;
|
||||
|
||||
const { stdout } = await execAsync(curlCommand);
|
||||
const result = JSON.parse(stdout);
|
||||
|
||||
if (result.success) {
|
||||
await this.log(`✅ Paper trade created: ${result.trade.id}`);
|
||||
} else {
|
||||
await this.log(`❌ Trade creation failed: ${result.message}`);
|
||||
}
|
||||
|
||||
} catch (error) {
|
||||
await this.log(`❌ Trade creation error: ${error.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
async stop() {
|
||||
const status = await this.isRunning();
|
||||
if (!status.running) {
|
||||
await this.log('⚠️ Automation not running');
|
||||
return { success: false, message: 'Not running' };
|
||||
}
|
||||
|
||||
try {
|
||||
process.kill(status.pid, 'SIGTERM');
|
||||
await fs.unlink(this.pidFile).catch(() => {});
|
||||
await this.log(`🛑 Automation stopped (PID: ${status.pid})`);
|
||||
return { success: true, message: 'Stopped', pid: status.pid };
|
||||
} catch (error) {
|
||||
await this.log(`❌ Stop error: ${error.message}`);
|
||||
return { success: false, message: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
async cleanup() {
|
||||
try {
|
||||
await fs.unlink(this.pidFile).catch(() => {});
|
||||
await this.log('🧹 Cleanup completed');
|
||||
} catch (error) {
|
||||
// Ignore cleanup errors
|
||||
}
|
||||
}
|
||||
|
||||
async getStatus() {
|
||||
const status = await this.isRunning();
|
||||
|
||||
let logs = '';
|
||||
try {
|
||||
const logData = await fs.readFile(this.logFile, 'utf8');
|
||||
logs = logData.split('\n').slice(-10).join('\n'); // Last 10 lines
|
||||
} catch (error) {
|
||||
logs = 'No logs available';
|
||||
}
|
||||
|
||||
return {
|
||||
running: status.running,
|
||||
pid: status.pid,
|
||||
config: this.config,
|
||||
recentLogs: logs
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Create instance
|
||||
const daemon = new BackgroundAutomation();
|
||||
|
||||
// CLI interface
|
||||
if (require.main === module) {
|
||||
const command = process.argv[2];
|
||||
|
||||
switch (command) {
|
||||
case 'start':
|
||||
daemon.start().then(result => {
|
||||
console.log(JSON.stringify(result, null, 2));
|
||||
if (result.success) {
|
||||
// Keep process alive
|
||||
process.stdin.resume();
|
||||
} else {
|
||||
process.exit(1);
|
||||
}
|
||||
});
|
||||
break;
|
||||
|
||||
case 'stop':
|
||||
daemon.stop().then(result => {
|
||||
console.log(JSON.stringify(result, null, 2));
|
||||
process.exit(0);
|
||||
});
|
||||
break;
|
||||
|
||||
case 'status':
|
||||
daemon.getStatus().then(status => {
|
||||
console.log(JSON.stringify(status, null, 2));
|
||||
process.exit(0);
|
||||
});
|
||||
break;
|
||||
|
||||
default:
|
||||
console.log(`
|
||||
🤖 24/7 Background Automation Daemon
|
||||
|
||||
Usage:
|
||||
node automation-daemon.js start # Start in background
|
||||
node automation-daemon.js stop # Stop daemon
|
||||
node automation-daemon.js status # Check status
|
||||
|
||||
Features:
|
||||
✅ True background process
|
||||
✅ Survives browser close
|
||||
✅ Auto-executes trades ≥60% confidence
|
||||
✅ Logs all activity
|
||||
✅ Safe paper trading only
|
||||
`);
|
||||
}
|
||||
}
|
||||
|
||||
// Export for API use
|
||||
module.exports = { daemon };
|
||||
90
check-automation.js
Normal file
90
check-automation.js
Normal file
@@ -0,0 +1,90 @@
|
||||
#!/usr/bin/env node
|
||||
|
||||
// Quick automation status checker
|
||||
|
||||
const { exec } = require('child_process');
|
||||
const { promisify } = require('util');
|
||||
const execAsync = promisify(exec);
|
||||
|
||||
async function checkStatus() {
|
||||
console.log('🤖 24/7 AUTOMATION STATUS CHECK\n');
|
||||
|
||||
try {
|
||||
// Check if process is running
|
||||
const { stdout } = await execAsync('ps aux | grep "working-24x7" | grep -v grep');
|
||||
if (stdout.trim()) {
|
||||
console.log('✅ AUTOMATION STATUS: RUNNING');
|
||||
console.log(`📊 Process: ${stdout.trim().split(/\s+/).slice(0, 11).join(' ')}`);
|
||||
} else {
|
||||
console.log('❌ AUTOMATION STATUS: NOT RUNNING');
|
||||
return;
|
||||
}
|
||||
} catch (error) {
|
||||
console.log('❌ AUTOMATION STATUS: NOT RUNNING');
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
// Check recent logs
|
||||
const { stdout: logs } = await execAsync('tail -5 nohup.out');
|
||||
console.log('\n📝 RECENT LOGS:');
|
||||
console.log(logs);
|
||||
} catch (error) {
|
||||
console.log('\n⚠️ No logs available');
|
||||
}
|
||||
|
||||
try {
|
||||
// Check current analysis
|
||||
const { stdout } = await execAsync('curl -s "http://localhost:9001/api/ai-analysis/latest?symbol=SOLUSD&timeframe=60"');
|
||||
const data = JSON.parse(stdout);
|
||||
|
||||
if (data.success && data.data && data.data.analysis) {
|
||||
const analysis = data.data.analysis;
|
||||
console.log('\n📊 CURRENT ANALYSIS:');
|
||||
console.log(` Signal: ${analysis.recommendation}`);
|
||||
console.log(` Confidence: ${analysis.confidence}%`);
|
||||
console.log(` Entry: $${analysis.entry}`);
|
||||
console.log(` Status: ${analysis.confidence >= 60 ? '🎯 WILL AUTO-EXECUTE' : '⏸️ Below threshold'}`);
|
||||
} else {
|
||||
console.log('\n❌ No analysis data available');
|
||||
}
|
||||
} catch (error) {
|
||||
console.log('\n❌ Analysis check failed:', error.message);
|
||||
}
|
||||
|
||||
try {
|
||||
// Check recent paper trades
|
||||
const { stdout } = await execAsync('curl -s "http://localhost:9001/api/safe-paper-trading/create-trade"');
|
||||
const data = JSON.parse(stdout);
|
||||
|
||||
if (data.success && data.trades) {
|
||||
console.log('\n📄 PAPER TRADES:');
|
||||
console.log(` Total: ${data.summary.total}`);
|
||||
console.log(` Open: ${data.summary.open}`);
|
||||
console.log(` Closed: ${data.summary.closed}`);
|
||||
console.log(` P&L: $${data.summary.totalPnL}`);
|
||||
|
||||
// Show recent trades
|
||||
const recentTrades = data.trades.slice(-3);
|
||||
if (recentTrades.length > 0) {
|
||||
console.log('\n📈 RECENT TRADES:');
|
||||
recentTrades.forEach(trade => {
|
||||
console.log(` ${trade.id}: ${trade.side} ${trade.symbol} @ $${trade.entry} (${trade.confidence}%)`);
|
||||
});
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
console.log('\n⚠️ Could not check paper trades');
|
||||
}
|
||||
|
||||
console.log('\n🎯 AUTOMATION CONFIGURATION:');
|
||||
console.log(' Symbol: SOLUSD');
|
||||
console.log(' Timeframe: 1 hour');
|
||||
console.log(' Interval: Every 60 minutes');
|
||||
console.log(' Auto-execute: ≥60% confidence');
|
||||
console.log(' Mode: Safe paper trading only');
|
||||
|
||||
console.log('\n✨ System is running 24/7 in your Docker container!');
|
||||
}
|
||||
|
||||
checkStatus();
|
||||
26
enable-continuous-learning.js
Normal file
26
enable-continuous-learning.js
Normal file
@@ -0,0 +1,26 @@
|
||||
#!/usr/bin/env node
|
||||
|
||||
// Quick script to enable continuous learning via browser console
|
||||
console.log(`
|
||||
🔧 ENABLE CONTINUOUS LEARNING MANUALLY
|
||||
|
||||
1. Open http://localhost:9001/safe-paper-trading in your browser
|
||||
2. Open Developer Tools (F12)
|
||||
3. Go to Console tab
|
||||
4. Run this command:
|
||||
|
||||
window.forceEnableLearning()
|
||||
|
||||
5. Refresh the page - you should see:
|
||||
- Button says "🛑 Stop Learning" (instead of Start)
|
||||
- Auto-execute toggle becomes available: "🔒 Locked" → "🤖 OFF"
|
||||
|
||||
6. Click the auto-execute toggle to enable it: "🤖 OFF" → "🤖 ON"
|
||||
|
||||
7. Now when you get strong signals (≥60% confidence), it will auto-create paper trades!
|
||||
|
||||
Alternative: You can also run this in console:
|
||||
localStorage.setItem('safePaperTrading_continuousLearning', 'true')
|
||||
location.reload()
|
||||
|
||||
`);
|
||||
7
nohup.out
Normal file
7
nohup.out
Normal file
@@ -0,0 +1,7 @@
|
||||
[2025-08-05T21:34:07.846Z] 🚀 24/7 AUTOMATION STARTED
|
||||
[2025-08-05T21:34:07.848Z] 📊 SOLUSD every 60m, threshold ≥60%
|
||||
[2025-08-05T21:34:07.848Z] 🔄 Analysis cycle #1
|
||||
[2025-08-05T21:34:52.488Z] 📊 SELL (80% confidence)
|
||||
[2025-08-05T21:34:52.489Z] 🎯 AUTO-EXECUTING: 80% ≥ 60%
|
||||
[2025-08-05T21:34:52.961Z] ✅ TRADE CREATED: PAPER_1754429692956_1
|
||||
[2025-08-05T21:34:53.032Z] ⏰ Next cycle: 12:34:52 AM
|
||||
169
simple-24x7-automation.js
Normal file
169
simple-24x7-automation.js
Normal file
@@ -0,0 +1,169 @@
|
||||
#!/usr/bin/env node
|
||||
|
||||
/**
|
||||
* Simple 24/7 Automation Service
|
||||
* Direct execution without complex daemon management
|
||||
*/
|
||||
|
||||
const { exec } = require('child_process');
|
||||
const { promisify } = require('util');
|
||||
const execAsync = promisify(exec);
|
||||
const fs = require('fs').promises;
|
||||
|
||||
class SimpleAutomation {
|
||||
constructor() {
|
||||
this.isRunning = false;
|
||||
this.config = {
|
||||
symbol: 'SOLUSD',
|
||||
timeframe: '60',
|
||||
intervalMinutes: 60,
|
||||
autoExecuteThreshold: 60
|
||||
};
|
||||
this.stats = {
|
||||
startTime: new Date(),
|
||||
totalCycles: 0,
|
||||
totalTrades: 0
|
||||
};
|
||||
}
|
||||
|
||||
async log(message) {
|
||||
const timestamp = new Date().toISOString();
|
||||
const logEntry = `[${timestamp}] ${message}`;
|
||||
console.log(logEntry);
|
||||
|
||||
// Also save to log file
|
||||
try {
|
||||
await fs.appendFile('/tmp/automation-simple.log', logEntry + '\n');
|
||||
} catch (error) {
|
||||
// Ignore file errors
|
||||
}
|
||||
}
|
||||
|
||||
async start() {
|
||||
if (this.isRunning) {
|
||||
await this.log('⚠️ Already running');
|
||||
return;
|
||||
}
|
||||
|
||||
this.isRunning = true;
|
||||
await this.log('🚀 Starting Simple 24/7 Automation...');
|
||||
await this.log(`📊 Config: ${this.config.symbol} ${this.config.timeframe}m, every ${this.config.intervalMinutes} minutes`);
|
||||
|
||||
// Run first cycle immediately
|
||||
await this.runCycle();
|
||||
|
||||
// Schedule recurring cycles
|
||||
setInterval(async () => {
|
||||
try {
|
||||
await this.runCycle();
|
||||
} catch (error) {
|
||||
await this.log(`❌ Cycle error: ${error.message}`);
|
||||
}
|
||||
}, this.config.intervalMinutes * 60 * 1000);
|
||||
|
||||
await this.log('✅ 24/7 Automation running');
|
||||
}
|
||||
|
||||
async runCycle() {
|
||||
this.stats.totalCycles++;
|
||||
await this.log(`🔄 Analysis cycle #${this.stats.totalCycles}`);
|
||||
|
||||
try {
|
||||
// Get analysis using curl
|
||||
const { stdout } = await execAsync(`curl -s "http://localhost:9001/api/ai-analysis/latest?symbol=${this.config.symbol}&timeframe=${this.config.timeframe}"`);
|
||||
|
||||
const data = JSON.parse(stdout);
|
||||
|
||||
if (data.success && data.data && data.data.analysis) {
|
||||
const analysis = data.data.analysis;
|
||||
await this.log(`📊 Analysis: ${analysis.recommendation} (${analysis.confidence}% confidence)`);
|
||||
|
||||
// Check if we should execute trade
|
||||
if (analysis.confidence >= this.config.autoExecuteThreshold) {
|
||||
await this.log(`🎯 Executing trade: confidence ${analysis.confidence}% ≥ ${this.config.autoExecuteThreshold}%`);
|
||||
await this.executeTrade(analysis);
|
||||
} else {
|
||||
await this.log(`⏸️ No trade: confidence ${analysis.confidence}% < ${this.config.autoExecuteThreshold}%`);
|
||||
}
|
||||
} else {
|
||||
await this.log('❌ No analysis data received');
|
||||
}
|
||||
|
||||
} catch (error) {
|
||||
await this.log(`❌ Cycle error: ${error.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
async executeTrade(analysis) {
|
||||
try {
|
||||
const tradeData = {
|
||||
symbol: this.config.symbol,
|
||||
side: analysis.recommendation,
|
||||
amount: 100,
|
||||
entry: analysis.entry,
|
||||
stopLoss: analysis.stopLoss,
|
||||
takeProfit: analysis.takeProfit,
|
||||
confidence: analysis.confidence,
|
||||
reasoning: analysis.reasoning,
|
||||
source: 'simple_24x7'
|
||||
};
|
||||
|
||||
// Use curl to create paper trade
|
||||
const curlData = JSON.stringify(tradeData).replace(/'/g, "'\\''");
|
||||
const { stdout } = await execAsync(`curl -s -X POST http://localhost:9001/api/safe-paper-trading/create-trade -H "Content-Type: application/json" -d '${curlData}'`);
|
||||
|
||||
const result = JSON.parse(stdout);
|
||||
|
||||
if (result.success) {
|
||||
this.stats.totalTrades++;
|
||||
await this.log(`✅ Paper trade created: ${result.trade.id}`);
|
||||
} else {
|
||||
await this.log(`❌ Trade failed: ${result.message}`);
|
||||
}
|
||||
|
||||
} catch (error) {
|
||||
await this.log(`❌ Trade execution error: ${error.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
getStatus() {
|
||||
const uptime = Math.floor((Date.now() - this.stats.startTime.getTime()) / 1000);
|
||||
return {
|
||||
isRunning: this.isRunning,
|
||||
config: this.config,
|
||||
stats: {
|
||||
...this.stats,
|
||||
uptime: `${Math.floor(uptime / 3600)}h ${Math.floor((uptime % 3600) / 60)}m`,
|
||||
nextCycle: new Date(Date.now() + (this.config.intervalMinutes * 60 * 1000))
|
||||
}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Start automation
|
||||
const automation = new SimpleAutomation();
|
||||
|
||||
// Handle graceful shutdown
|
||||
process.on('SIGTERM', async () => {
|
||||
await automation.log('🛑 Received SIGTERM, shutting down...');
|
||||
process.exit(0);
|
||||
});
|
||||
|
||||
process.on('SIGINT', async () => {
|
||||
await automation.log('🛑 Received SIGINT, shutting down...');
|
||||
process.exit(0);
|
||||
});
|
||||
|
||||
// Start the automation
|
||||
automation.start().catch(async (error) => {
|
||||
await automation.log(`❌ Startup error: ${error.message}`);
|
||||
process.exit(1);
|
||||
});
|
||||
|
||||
// Keep process alive
|
||||
console.log('🤖 Simple 24/7 Automation Service');
|
||||
console.log('✅ Running in background - press Ctrl+C to stop');
|
||||
console.log('📝 Logs: /tmp/automation-simple.log');
|
||||
|
||||
// Prevent the process from exiting
|
||||
process.stdin.resume();
|
||||
263
start-24-7-automation.js
Normal file
263
start-24-7-automation.js
Normal file
@@ -0,0 +1,263 @@
|
||||
#!/usr/bin/env node
|
||||
|
||||
/**
|
||||
* 24/7 Server-Side Automation with AI Learning
|
||||
* Runs continuously in Docker container without browser dependency
|
||||
*/
|
||||
|
||||
const fs = require('fs').promises;
|
||||
const path = require('path');
|
||||
|
||||
class Server24x7Automation {
|
||||
constructor() {
|
||||
this.isRunning = false;
|
||||
this.config = {
|
||||
mode: 'SIMULATION', // Safe paper trading
|
||||
symbol: 'SOLUSD',
|
||||
timeframe: '60', // 1 hour
|
||||
intervalMinutes: 60, // Run every 60 minutes
|
||||
autoExecuteThreshold: 60, // Execute trades with ≥60% confidence
|
||||
maxDailyTrades: 10,
|
||||
tradingAmount: 100,
|
||||
learningEnabled: true
|
||||
};
|
||||
this.stats = {
|
||||
startTime: null,
|
||||
totalCycles: 0,
|
||||
totalTrades: 0,
|
||||
successfulTrades: 0,
|
||||
lastAnalysis: null,
|
||||
lastTrade: null
|
||||
};
|
||||
this.intervalId = null;
|
||||
}
|
||||
|
||||
async log(message) {
|
||||
const timestamp = new Date().toISOString();
|
||||
const logEntry = `[${timestamp}] ${message}`;
|
||||
console.log(logEntry);
|
||||
|
||||
// Also save to log file
|
||||
try {
|
||||
await fs.appendFile('/tmp/24x7-automation.log', logEntry + '\n');
|
||||
} catch (error) {
|
||||
// Ignore file errors
|
||||
}
|
||||
}
|
||||
|
||||
async start() {
|
||||
if (this.isRunning) {
|
||||
await this.log('⚠️ Automation already running');
|
||||
return { success: false, message: 'Already running' };
|
||||
}
|
||||
|
||||
await this.log('🚀 Starting 24/7 Server Automation...');
|
||||
await this.log(`📊 Config: ${this.config.symbol} ${this.config.timeframe}m, every ${this.config.intervalMinutes} minutes`);
|
||||
await this.log(`🎯 Auto-execute threshold: ≥${this.config.autoExecuteThreshold}% confidence`);
|
||||
|
||||
this.isRunning = true;
|
||||
this.stats.startTime = new Date();
|
||||
|
||||
// Run first cycle immediately
|
||||
await this.runAnalysisCycle();
|
||||
|
||||
// Schedule recurring cycles
|
||||
this.intervalId = setInterval(async () => {
|
||||
try {
|
||||
await this.runAnalysisCycle();
|
||||
} catch (error) {
|
||||
await this.log(`❌ Cycle error: ${error.message}`);
|
||||
}
|
||||
}, this.config.intervalMinutes * 60 * 1000);
|
||||
|
||||
await this.log('✅ 24/7 Automation started successfully');
|
||||
return { success: true, message: '24/7 automation started' };
|
||||
}
|
||||
|
||||
async stop() {
|
||||
if (!this.isRunning) {
|
||||
await this.log('⚠️ Automation not running');
|
||||
return { success: false, message: 'Not running' };
|
||||
}
|
||||
|
||||
this.isRunning = false;
|
||||
if (this.intervalId) {
|
||||
clearInterval(this.intervalId);
|
||||
this.intervalId = null;
|
||||
}
|
||||
|
||||
await this.log('🛑 24/7 Automation stopped');
|
||||
return { success: true, message: 'Automation stopped' };
|
||||
}
|
||||
|
||||
async runAnalysisCycle() {
|
||||
this.stats.totalCycles++;
|
||||
await this.log(`🔄 Starting analysis cycle #${this.stats.totalCycles}`);
|
||||
|
||||
try {
|
||||
// 1. Get AI analysis
|
||||
const analysis = await this.getAIAnalysis();
|
||||
if (!analysis) {
|
||||
await this.log('❌ Failed to get AI analysis');
|
||||
return;
|
||||
}
|
||||
|
||||
this.stats.lastAnalysis = new Date();
|
||||
await this.log(`📊 Analysis: ${analysis.recommendation} (${analysis.confidence}% confidence)`);
|
||||
|
||||
// 2. Check if we should auto-execute
|
||||
if (analysis.confidence >= this.config.autoExecuteThreshold) {
|
||||
await this.log(`🎯 Confidence ${analysis.confidence}% ≥ threshold ${this.config.autoExecuteThreshold}% - executing trade`);
|
||||
|
||||
const tradeResult = await this.executeAutoTrade(analysis);
|
||||
if (tradeResult.success) {
|
||||
this.stats.totalTrades++;
|
||||
this.stats.lastTrade = new Date();
|
||||
await this.log(`✅ Auto-trade executed: ${tradeResult.message}`);
|
||||
} else {
|
||||
await this.log(`❌ Auto-trade failed: ${tradeResult.message}`);
|
||||
}
|
||||
} else {
|
||||
await this.log(`⏸️ Confidence ${analysis.confidence}% < threshold ${this.config.autoExecuteThreshold}% - no trade`);
|
||||
}
|
||||
|
||||
} catch (error) {
|
||||
await this.log(`❌ Analysis cycle error: ${error.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
async getAIAnalysis() {
|
||||
try {
|
||||
// Call the same API that the browser version uses
|
||||
const response = await fetch(`http://localhost:9001/api/ai-analysis/latest?symbol=${this.config.symbol}&timeframe=${this.config.timeframe}`);
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`API responded with ${response.status}`);
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
|
||||
if (data.success && data.data && data.data.analysis) {
|
||||
return {
|
||||
recommendation: data.data.analysis.recommendation,
|
||||
confidence: data.data.analysis.confidence,
|
||||
reasoning: data.data.analysis.reasoning,
|
||||
entry: data.data.analysis.entry,
|
||||
stopLoss: data.data.analysis.stopLoss,
|
||||
takeProfit: data.data.analysis.takeProfit
|
||||
};
|
||||
}
|
||||
|
||||
return null;
|
||||
} catch (error) {
|
||||
await this.log(`❌ AI Analysis API error: ${error.message}`);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
async executeAutoTrade(analysis) {
|
||||
try {
|
||||
// Create paper trade using the same API
|
||||
const tradeData = {
|
||||
symbol: this.config.symbol,
|
||||
side: analysis.recommendation, // BUY or SELL
|
||||
amount: this.config.tradingAmount,
|
||||
entry: analysis.entry,
|
||||
stopLoss: analysis.stopLoss,
|
||||
takeProfit: analysis.takeProfit,
|
||||
confidence: analysis.confidence,
|
||||
reasoning: analysis.reasoning,
|
||||
source: '24x7_automation'
|
||||
};
|
||||
|
||||
const response = await fetch('http://localhost:9001/api/safe-paper-trading/create-trade', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify(tradeData)
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`Trade API responded with ${response.status}`);
|
||||
}
|
||||
|
||||
const result = await response.json();
|
||||
|
||||
if (result.success) {
|
||||
this.stats.successfulTrades++;
|
||||
return { success: true, message: `Paper trade created: ${result.trade.id}` };
|
||||
} else {
|
||||
return { success: false, message: result.message || 'Trade creation failed' };
|
||||
}
|
||||
|
||||
} catch (error) {
|
||||
return { success: false, message: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
getStatus() {
|
||||
const uptime = this.stats.startTime ? Math.floor((Date.now() - this.stats.startTime.getTime()) / 1000) : 0;
|
||||
const successRate = this.stats.totalTrades > 0 ? Math.round((this.stats.successfulTrades / this.stats.totalTrades) * 100) : 0;
|
||||
|
||||
return {
|
||||
isRunning: this.isRunning,
|
||||
config: this.config,
|
||||
stats: {
|
||||
...this.stats,
|
||||
uptime: `${Math.floor(uptime / 3600)}h ${Math.floor((uptime % 3600) / 60)}m`,
|
||||
successRate: `${successRate}%`,
|
||||
nextCycle: this.intervalId ? new Date(Date.now() + (this.config.intervalMinutes * 60 * 1000)) : null
|
||||
}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Create singleton instance
|
||||
const automation24x7 = new Server24x7Automation();
|
||||
|
||||
// Export for API use
|
||||
if (typeof module !== 'undefined') {
|
||||
module.exports = { automation24x7 };
|
||||
}
|
||||
|
||||
// CLI interface
|
||||
if (require.main === module) {
|
||||
const command = process.argv[2];
|
||||
|
||||
switch (command) {
|
||||
case 'start':
|
||||
automation24x7.start().then(result => {
|
||||
console.log(result);
|
||||
if (!result.success) process.exit(1);
|
||||
});
|
||||
break;
|
||||
|
||||
case 'stop':
|
||||
automation24x7.stop().then(result => {
|
||||
console.log(result);
|
||||
process.exit(0);
|
||||
});
|
||||
break;
|
||||
|
||||
case 'status':
|
||||
console.log(JSON.stringify(automation24x7.getStatus(), null, 2));
|
||||
break;
|
||||
|
||||
default:
|
||||
console.log(`
|
||||
🤖 24/7 Server Automation
|
||||
|
||||
Usage:
|
||||
node start-24-7-automation.js start # Start automation
|
||||
node start-24-7-automation.js stop # Stop automation
|
||||
node start-24-7-automation.js status # Check status
|
||||
|
||||
Features:
|
||||
✅ Runs without browser dependency
|
||||
✅ Safe paper trading mode
|
||||
✅ AI analysis every 60 minutes
|
||||
✅ Auto-execute trades ≥60% confidence
|
||||
✅ Integrates with existing learning system
|
||||
✅ Logs all activity
|
||||
`);
|
||||
}
|
||||
}
|
||||
102
working-24x7.js
Normal file
102
working-24x7.js
Normal file
@@ -0,0 +1,102 @@
|
||||
#!/usr/bin/env node
|
||||
|
||||
/**
|
||||
* Working 24/7 Automation - No stdin issues
|
||||
*/
|
||||
|
||||
const { exec } = require('child_process');
|
||||
const { promisify } = require('util');
|
||||
const execAsync = promisify(exec);
|
||||
const fs = require('fs').promises;
|
||||
|
||||
class WorkingAutomation {
|
||||
constructor() {
|
||||
this.config = {
|
||||
symbol: 'SOLUSD',
|
||||
timeframe: '60',
|
||||
intervalMinutes: 60,
|
||||
autoExecuteThreshold: 60
|
||||
};
|
||||
this.stats = {
|
||||
startTime: new Date(),
|
||||
totalCycles: 0,
|
||||
totalTrades: 0
|
||||
};
|
||||
}
|
||||
|
||||
async log(message) {
|
||||
const timestamp = new Date().toISOString();
|
||||
const logEntry = `[${timestamp}] ${message}`;
|
||||
console.log(logEntry);
|
||||
}
|
||||
|
||||
async runCycle() {
|
||||
this.stats.totalCycles++;
|
||||
await this.log(`🔄 Analysis cycle #${this.stats.totalCycles}`);
|
||||
|
||||
try {
|
||||
// Get current analysis
|
||||
const { stdout } = await execAsync(`curl -s "http://localhost:9001/api/ai-analysis/latest?symbol=${this.config.symbol}&timeframe=${this.config.timeframe}"`);
|
||||
|
||||
const data = JSON.parse(stdout);
|
||||
|
||||
if (data.success && data.data && data.data.analysis) {
|
||||
const analysis = data.data.analysis;
|
||||
await this.log(`📊 ${analysis.recommendation} (${analysis.confidence}% confidence)`);
|
||||
|
||||
if (analysis.confidence >= this.config.autoExecuteThreshold) {
|
||||
await this.log(`🎯 AUTO-EXECUTING: ${analysis.confidence}% ≥ ${this.config.autoExecuteThreshold}%`);
|
||||
|
||||
const tradeData = {
|
||||
symbol: this.config.symbol,
|
||||
side: analysis.recommendation,
|
||||
amount: 100,
|
||||
entry: analysis.entry,
|
||||
stopLoss: analysis.stopLoss,
|
||||
takeProfit: analysis.takeProfit,
|
||||
confidence: analysis.confidence,
|
||||
reasoning: analysis.reasoning,
|
||||
source: 'automation_24x7'
|
||||
};
|
||||
|
||||
// Create paper trade
|
||||
const curlData = JSON.stringify(tradeData).replace(/"/g, '\\"');
|
||||
const { stdout: tradeResult } = await execAsync(`curl -s -X POST http://localhost:9001/api/safe-paper-trading/create-trade -H "Content-Type: application/json" -d "${curlData}"`);
|
||||
|
||||
const result = JSON.parse(tradeResult);
|
||||
|
||||
if (result.success) {
|
||||
this.stats.totalTrades++;
|
||||
await this.log(`✅ TRADE CREATED: ${result.trade.id}`);
|
||||
} else {
|
||||
await this.log(`❌ TRADE FAILED: ${result.message}`);
|
||||
}
|
||||
} else {
|
||||
await this.log(`⏸️ NO TRADE: ${analysis.confidence}% < ${this.config.autoExecuteThreshold}%`);
|
||||
}
|
||||
} else {
|
||||
await this.log('❌ No analysis data available');
|
||||
}
|
||||
|
||||
} catch (error) {
|
||||
await this.log(`❌ Cycle error: ${error.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
async start() {
|
||||
await this.log('🚀 24/7 AUTOMATION STARTED');
|
||||
await this.log(`📊 ${this.config.symbol} every ${this.config.intervalMinutes}m, threshold ≥${this.config.autoExecuteThreshold}%`);
|
||||
|
||||
// Run first cycle
|
||||
await this.runCycle();
|
||||
|
||||
// Schedule recurring cycles
|
||||
setInterval(() => this.runCycle().catch(console.error), this.config.intervalMinutes * 60 * 1000);
|
||||
|
||||
await this.log(`⏰ Next cycle: ${new Date(Date.now() + this.config.intervalMinutes * 60 * 1000).toLocaleTimeString()}`);
|
||||
}
|
||||
}
|
||||
|
||||
// Create and start automation
|
||||
const automation = new WorkingAutomation();
|
||||
automation.start();
|
||||
Reference in New Issue
Block a user