284e1c8b8c
- Fixed field mapping between API and frontend (amount→positionSize, entry→entryPrice, createdAt→timestamp) - Updated API sync function to properly convert API trade format to frontend format - Resolved display issues: 'Invalid Date', missing entry price, missing trade size - Added trade monitoring system and automation improvements - Enhanced automation with simple-automation.js for reliable 24/7 operation - Working automation now detecting 85% confidence BUY signals and executing trades
1909 lines
83 KiB
JavaScript
1909 lines
83 KiB
JavaScript
'use client'
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import { useState, useEffect } from 'react'
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// Available timeframes for analysis (matching automation-v2 format)
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const timeframes = [
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{ label: '5m', value: '5' },
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{ label: '15m', value: '15' },
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{ label: '30m', value: '30' },
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{ label: '1h', value: '60' },
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{ label: '2h', value: '120' },
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{ label: '4h', value: '240' },
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{ label: '1d', value: 'D' },
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]
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// Intelligent delay mapping based on timeframe (optimize ChatGPT budget)
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const ANALYSIS_DELAYS = {
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'5': 5 * 60 * 1000, // 5m chart: analyze every 5 minutes
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'15': 15 * 60 * 1000, // 15m chart: analyze every 15 minutes
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'30': 30 * 60 * 1000, // 30m chart: analyze every 30 minutes
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'60': 60 * 60 * 1000, // 1h chart: analyze every 1 hour
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'120': 2 * 60 * 60 * 1000, // 2h chart: analyze every 2 hours
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'240': 4 * 60 * 60 * 1000, // 4h chart: analyze every 4 hours
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'D': 24 * 60 * 60 * 1000, // 1d chart: analyze once per day
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}
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export default function SafePaperTradingPage() {
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const [symbol, setSymbol] = useState('SOLUSD')
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const [selectedTimeframes, setSelectedTimeframes] = useState(['60']) // Default to 1h
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const [loading, setLoading] = useState(false)
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const [currentAnalysis, setCurrentAnalysis] = useState(null)
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const [paperBalance, setPaperBalance] = useState(1000)
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const [paperTrades, setPaperTrades] = useState([])
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const [analysisHistory, setAnalysisHistory] = useState([])
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const [error, setError] = useState(null)
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const [learningInsights, setLearningInsights] = useState(null)
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const [showDetailedAnalysis, setShowDetailedAnalysis] = useState(false)
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const [continuousLearning, setContinuousLearning] = useState(false)
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const [autoExecuteTrades, setAutoExecuteTrades] = useState(false) // New: Auto-execute trades based on AI recommendations
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const [learningInterval, setLearningInterval] = useState(null)
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const [lastAnalysisTime, setLastAnalysisTime] = useState(null)
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const [nextAnalysisTime, setNextAnalysisTime] = useState(null)
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const [countdownTimer, setCountdownTimer] = useState(null)
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const [timeRemaining, setTimeRemaining] = useState(0)
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// Load persisted analysis data on component mount
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useEffect(() => {
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const loadPersistedData = () => {
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try {
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const savedAnalysis = localStorage.getItem('safePaperTrading_currentAnalysis')
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const savedTrades = localStorage.getItem('safePaperTrading_paperTrades')
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const savedBalance = localStorage.getItem('safePaperTrading_paperBalance')
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const savedHistory = localStorage.getItem('safePaperTrading_analysisHistory')
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const savedLearningInsights = localStorage.getItem('safePaperTrading_learningInsights')
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const savedContinuousLearning = localStorage.getItem('safePaperTrading_continuousLearning')
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const savedAutoExecute = localStorage.getItem('safePaperTrading_autoExecute')
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if (savedAnalysis) {
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const parsedAnalysis = JSON.parse(savedAnalysis)
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// Check if the saved analysis is stale (older than 2 hours)
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const analysisAge = Date.now() - new Date(parsedAnalysis.timestamp).getTime()
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const twoHours = 2 * 60 * 60 * 1000
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if (analysisAge > twoHours) {
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console.log('📂 Found stale analysis data (>2 hours old), will fetch fresh data')
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localStorage.removeItem('safePaperTrading_currentAnalysis')
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// Trigger fresh analysis after component loads
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setTimeout(() => {
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console.log('🔄 Fetching fresh analysis to replace stale data')
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runSafeAnalysis(false)
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}, 5000)
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} else {
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setCurrentAnalysis(parsedAnalysis)
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console.log('📂 Restored recent analysis from localStorage')
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}
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} else {
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// No saved analysis, fetch fresh data
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setTimeout(() => {
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console.log('🔄 No saved analysis found, fetching fresh data')
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runSafeAnalysis(false)
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}, 3000)
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}
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if (savedTrades) {
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const parsedTrades = JSON.parse(savedTrades)
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setPaperTrades(parsedTrades)
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console.log(`📂 Restored ${parsedTrades.length} paper trades`)
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}
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if (savedBalance) {
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const parsedBalance = parseFloat(savedBalance)
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setPaperBalance(parsedBalance)
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console.log(`📂 Restored paper balance: $${parsedBalance}`)
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}
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if (savedHistory) {
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const parsedHistory = JSON.parse(savedHistory)
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setAnalysisHistory(parsedHistory)
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console.log(`📂 Restored ${parsedHistory.length} analysis history entries`)
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}
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if (savedLearningInsights) {
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const parsedInsights = JSON.parse(savedLearningInsights)
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setLearningInsights(parsedInsights)
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console.log('📂 Restored learning insights from localStorage')
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}
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if (savedContinuousLearning === 'true') {
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console.log('📂 Found continuous learning was active - restarting...')
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setContinuousLearning(true)
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// Restart continuous learning after a short delay to ensure component is ready
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setTimeout(() => {
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console.log('<27> Restarting continuous learning from localStorage')
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startContinuousLearning()
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}, 3000) // Increased delay to ensure everything is loaded
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}
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} catch (error) {
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console.error('⚠️ Error loading persisted data:', error)
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// Clear corrupted data
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localStorage.removeItem('safePaperTrading_currentAnalysis')
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localStorage.removeItem('safePaperTrading_paperTrades')
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localStorage.removeItem('safePaperTrading_paperBalance')
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localStorage.removeItem('safePaperTrading_analysisHistory')
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localStorage.removeItem('safePaperTrading_learningInsights')
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localStorage.removeItem('safePaperTrading_continuousLearning')
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}
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}
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loadPersistedData()
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// Load auto-execute setting
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try {
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const savedAutoExecute = localStorage.getItem('safePaperTrading_autoExecute')
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if (savedAutoExecute === 'true') {
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console.log('📂 Found auto-execute was enabled - restoring...')
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setAutoExecuteTrades(true)
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}
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} catch (error) {
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console.error('⚠️ Error loading auto-execute setting:', error)
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}
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// Check if continuous learning should be active
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const checkContinuousLearningState = () => {
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try {
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const savedContinuousLearning = localStorage.getItem('safePaperTrading_continuousLearning')
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console.log('🔍 Checking continuous learning state:', savedContinuousLearning)
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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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}, 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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// 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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useEffect(() => {
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if (currentAnalysis) {
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try {
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localStorage.setItem('safePaperTrading_currentAnalysis', JSON.stringify(currentAnalysis))
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console.log('💾 Persisted current analysis to localStorage')
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} catch (error) {
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console.error('⚠️ Error persisting current analysis:', error)
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}
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}
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}, [currentAnalysis])
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useEffect(() => {
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if (paperTrades.length >= 0) { // Always persist, even empty array
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try {
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localStorage.setItem('safePaperTrading_paperTrades', JSON.stringify(paperTrades))
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console.log(`💾 Persisted ${paperTrades.length} paper trades`)
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} catch (error) {
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console.error('⚠️ Error persisting paper trades:', error)
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}
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}
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}, [paperTrades])
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useEffect(() => {
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try {
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localStorage.setItem('safePaperTrading_paperBalance', paperBalance.toString())
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console.log(`💾 Persisted paper balance: $${paperBalance}`)
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} catch (error) {
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console.error('⚠️ Error persisting paper balance:', error)
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}
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}, [paperBalance])
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useEffect(() => {
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if (learningInsights) {
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try {
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localStorage.setItem('safePaperTrading_learningInsights', JSON.stringify(learningInsights))
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console.log('💾 Persisted learning insights to localStorage')
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} catch (error) {
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console.error('⚠️ Error persisting learning insights:', error)
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}
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}
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}, [learningInsights])
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// Persist continuous learning state
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useEffect(() => {
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try {
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localStorage.setItem('safePaperTrading_continuousLearning', continuousLearning.toString())
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console.log(`💾 Persisted continuous learning state: ${continuousLearning}`)
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} catch (error) {
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console.error('⚠️ Error persisting continuous learning state:', error)
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}
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}, [continuousLearning])
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// Persist auto-execute setting
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useEffect(() => {
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try {
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localStorage.setItem('safePaperTrading_autoExecute', autoExecuteTrades.toString())
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console.log(`💾 Persisted auto-execute setting: ${autoExecuteTrades}`)
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} catch (error) {
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console.error('⚠️ Error persisting auto-execute setting:', error)
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}
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}, [autoExecuteTrades])
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// Live countdown timer for continuous learning
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useEffect(() => {
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if (continuousLearning && nextAnalysisTime) {
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// Clear any existing countdown timer
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if (countdownTimer) {
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clearInterval(countdownTimer)
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}
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// Create new countdown timer that updates every second
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const countdown = setInterval(() => {
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const remaining = nextAnalysisTime - Date.now()
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if (remaining <= 0) {
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setTimeRemaining(0)
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} else {
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setTimeRemaining(remaining)
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}
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}, 1000)
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setCountdownTimer(countdown)
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// Initial calculation
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const remaining = nextAnalysisTime - Date.now()
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setTimeRemaining(remaining > 0 ? remaining : 0)
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return () => {
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if (countdown) {
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clearInterval(countdown)
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}
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}
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} else {
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// Clear countdown when not in continuous learning
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if (countdownTimer) {
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clearInterval(countdownTimer)
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setCountdownTimer(null)
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}
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setTimeRemaining(0)
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}
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}, [continuousLearning, nextAnalysisTime])
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// Clean up countdown on unmount
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useEffect(() => {
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return () => {
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if (countdownTimer) {
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clearInterval(countdownTimer)
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}
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}
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}, [])
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// Health check for continuous learning - ensure it's actually running
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useEffect(() => {
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if (continuousLearning) {
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const healthCheck = setInterval(() => {
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if (!learningInterval) {
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console.warn('⚠️ HEALTH CHECK: Continuous learning is ON but interval is missing - restarting...')
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restartContinuousLearning()
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} else {
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console.log('✅ HEALTH CHECK: Continuous learning interval is active')
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}
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}, 5 * 60 * 1000) // Check every 5 minutes
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return () => clearInterval(healthCheck)
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}
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}, [continuousLearning, learningInterval])
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// SAFETY: Only these timeframes allowed in paper trading
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const safeTimeframes = timeframes.map(tf => ({
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...tf,
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riskLevel: tf.value === '5' || tf.value === '15' ? 'HIGH' :
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tf.value === '30' || tf.value === '60' ? 'MEDIUM' : 'LOW'
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}))
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const settings = {
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riskPerTrade: 1.0,
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paperMode: true, // ALWAYS true - cannot be changed
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isolatedMode: true // ALWAYS true - completely isolated
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}
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const toggleTimeframe = (timeframe) => {
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setSelectedTimeframes(prev =>
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prev.includes(timeframe)
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? prev.filter(tf => tf !== timeframe)
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: [...prev, timeframe]
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)
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}
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const calculateOptimalDelay = () => {
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if (selectedTimeframes.length === 0) return 60 * 60 * 1000 // Default 1 hour
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// Use the shortest timeframe as base, but not too frequent for budget optimization
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const shortestTf = selectedTimeframes.reduce((shortest, current) => {
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const currentDelay = ANALYSIS_DELAYS[current] || 60 * 60 * 1000
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const shortestDelay = ANALYSIS_DELAYS[shortest] || 60 * 60 * 1000
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return currentDelay < shortestDelay ? current : shortest
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})
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// Minimum 10 minutes delay to protect ChatGPT budget
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return Math.max(ANALYSIS_DELAYS[shortestTf] || 60 * 60 * 1000, 10 * 60 * 1000)
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}
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// Format countdown time for display
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const formatCountdown = (milliseconds) => {
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if (milliseconds <= 0) return 'Running soon...'
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const totalSeconds = Math.ceil(milliseconds / 1000)
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const hours = Math.floor(totalSeconds / 3600)
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const minutes = Math.floor((totalSeconds % 3600) / 60)
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const seconds = totalSeconds % 60
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if (hours > 0) {
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return `${hours}h ${minutes}m ${seconds}s`
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} else if (minutes > 0) {
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return `${minutes}m ${seconds}s`
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} else {
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return `${seconds}s`
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}
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}
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const startContinuousLearning = () => {
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if (learningInterval) {
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clearInterval(learningInterval)
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}
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const delay = calculateOptimalDelay()
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console.log(`🎓 Starting continuous learning with ${delay / 60000} minute intervals`)
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// Run first analysis immediately for faster feedback
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setTimeout(async () => {
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console.log('🔄 IMMEDIATE: Running first continuous learning analysis')
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console.log('📚 Running immediate learning analysis (paper trading mode)')
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try {
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await runSafeAnalysis(true) // Mark as continuous learning
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} catch (error) {
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console.error('❌ Error in immediate analysis:', error)
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}
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}, 5000) // 5 seconds delay for immediate feedback
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const interval = setInterval(async () => {
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console.log('🔄 Continuous learning cycle triggered')
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console.log(`📊 Current time: ${new Date().toLocaleTimeString()}`)
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// For safe paper trading, always run analysis regardless of positions
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// (since it's completely isolated and for learning purposes)
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console.log('📚 Running scheduled learning analysis (paper trading mode)')
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try {
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await runSafeAnalysis(true) // Mark as continuous learning
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} catch (error) {
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console.error('❌ Error in continuous learning cycle:', error)
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// Set next time even if there's an error to prevent stopping
|
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setNextAnalysisTime(Date.now() + delay)
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}
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}, delay)
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setLearningInterval(interval)
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setNextAnalysisTime(Date.now() + 5000) // Show immediate next time (5 seconds)
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console.log(`🎓 Continuous learning started - next analysis in 5 seconds, then every ${delay / 60000} minutes`)
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}
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const stopContinuousLearning = () => {
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if (learningInterval) {
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clearInterval(learningInterval)
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setLearningInterval(null)
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setNextAnalysisTime(null)
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console.log('🛑 Continuous learning stopped')
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}
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}
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const restartContinuousLearning = () => {
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console.log('🔄 Restarting continuous learning...')
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stopContinuousLearning()
|
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// Small delay to ensure cleanup
|
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setTimeout(() => {
|
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startContinuousLearning()
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console.log('✅ Continuous learning restarted successfully')
|
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}, 1000)
|
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}
|
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|
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useEffect(() => {
|
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// Load paper trading data from localStorage using consistent keys
|
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// Check both old and new key patterns for backward compatibility
|
||
const savedTrades = localStorage.getItem('safePaperTrading_paperTrades') || localStorage.getItem('safePaperTrades')
|
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const savedBalance = localStorage.getItem('safePaperTrading_paperBalance') || localStorage.getItem('safePaperBalance')
|
||
|
||
if (savedTrades) {
|
||
setPaperTrades(JSON.parse(savedTrades))
|
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console.log('📂 Restored paper trades from localStorage')
|
||
}
|
||
if (savedBalance) {
|
||
setPaperBalance(parseFloat(savedBalance))
|
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console.log('📂 Restored paper balance from localStorage')
|
||
}
|
||
|
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// Sync with API trades (from automation)
|
||
const syncApiTrades = async () => {
|
||
try {
|
||
console.log('🔄 Syncing trades from API...')
|
||
const response = await fetch('/api/safe-paper-trading/trades')
|
||
if (response.ok) {
|
||
const data = await response.json()
|
||
if (data.success && data.trades.length > 0) {
|
||
console.log(`📈 Found ${data.trades.length} API trades, syncing with localStorage...`)
|
||
|
||
// Get existing localStorage trades
|
||
const existingTrades = JSON.parse(localStorage.getItem('safePaperTrading_paperTrades') || '[]')
|
||
|
||
// Convert API trades to frontend format and filter out existing ones
|
||
const existingIds = new Set(existingTrades.map(t => t.id))
|
||
const newTrades = data.trades
|
||
.filter(t => !existingIds.has(t.id))
|
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.map(apiTrade => ({
|
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id: apiTrade.id,
|
||
symbol: apiTrade.symbol,
|
||
side: apiTrade.side,
|
||
positionSize: apiTrade.amount, // Map amount to positionSize
|
||
entryPrice: apiTrade.entry, // Map entry to entryPrice
|
||
confidence: apiTrade.confidence,
|
||
reasoning: apiTrade.reasoning,
|
||
source: apiTrade.source,
|
||
status: apiTrade.status,
|
||
timestamp: apiTrade.createdAt, // Map createdAt to timestamp
|
||
pnl: apiTrade.pnl || 0,
|
||
fees: apiTrade.fees || 0
|
||
}))
|
||
|
||
if (newTrades.length > 0) {
|
||
const combinedTrades = [...existingTrades, ...newTrades]
|
||
setPaperTrades(combinedTrades)
|
||
localStorage.setItem('safePaperTrading_paperTrades', JSON.stringify(combinedTrades))
|
||
|
||
// Update balance based on new trades
|
||
const additionalValue = newTrades.reduce((sum, trade) => {
|
||
return sum + (trade.side === 'BUY' ? -trade.positionSize : trade.positionSize)
|
||
}, 0)
|
||
|
||
const newBalance = paperBalance + additionalValue
|
||
setPaperBalance(newBalance)
|
||
localStorage.setItem('safePaperTrading_paperBalance', newBalance.toString())
|
||
|
||
console.log(`✅ Synced ${newTrades.length} new trades from API`)
|
||
} else {
|
||
console.log('📊 All API trades already in localStorage')
|
||
}
|
||
} else {
|
||
console.log('📊 No API trades found')
|
||
}
|
||
}
|
||
} catch (error) {
|
||
console.log('❌ Failed to sync API trades:', error.message)
|
||
}
|
||
}
|
||
|
||
// Sync API trades after loading localStorage
|
||
syncApiTrades()
|
||
|
||
// Fetch AI learning status
|
||
fetchLearningStatus()
|
||
|
||
// Cleanup continuous learning on unmount
|
||
return () => {
|
||
if (learningInterval) {
|
||
clearInterval(learningInterval)
|
||
}
|
||
}
|
||
}, [])
|
||
|
||
// Update continuous learning when timeframes change
|
||
useEffect(() => {
|
||
if (continuousLearning) {
|
||
stopContinuousLearning()
|
||
startContinuousLearning()
|
||
}
|
||
}, [selectedTimeframes])
|
||
|
||
// Save to localStorage whenever data changes - use consistent prefixed keys
|
||
useEffect(() => {
|
||
localStorage.setItem('safePaperTrading_paperTrades', JSON.stringify(paperTrades))
|
||
localStorage.setItem('safePaperTrading_paperBalance', paperBalance.toString())
|
||
|
||
// Also save to old keys for backward compatibility (temporarily)
|
||
localStorage.setItem('safePaperTrades', JSON.stringify(paperTrades))
|
||
localStorage.setItem('safePaperBalance', paperBalance.toString())
|
||
}, [paperTrades, paperBalance])
|
||
|
||
const runSafeAnalysis = async (isContinuous = false) => {
|
||
console.log(`🔄 ${isContinuous ? 'CONTINUOUS LEARNING' : 'BUTTON CLICKED'}: Starting safe analysis...`)
|
||
console.log(`🎯 Analysis Type: ${isContinuous ? 'CONTINUOUS LEARNING' : 'MANUAL'} for ${symbol}`)
|
||
console.log(`⏰ Current time: ${new Date().toLocaleString()}`)
|
||
console.log(`📊 Selected timeframes: ${selectedTimeframes.join(', ')}`)
|
||
|
||
if (isContinuous) {
|
||
console.log(`🎓 This is a CONTINUOUS LEARNING cycle - automatic analysis`)
|
||
}
|
||
console.log(`📊 Selected timeframes: ${selectedTimeframes.join(', ')}`)
|
||
|
||
setLoading(true)
|
||
setError(null)
|
||
setLastAnalysisTime(Date.now())
|
||
|
||
try {
|
||
console.log('📄 SAFE PAPER TRADING: Starting isolated analysis...')
|
||
console.log('📋 Request data:', {
|
||
symbol,
|
||
selectedTimeframes,
|
||
mode: 'PAPER_ONLY',
|
||
paperTrading: true,
|
||
isolatedMode: true,
|
||
isContinuous
|
||
})
|
||
|
||
console.log(`🌐 Making API call to /api/paper-trading-safe...`)
|
||
|
||
// SAFETY: Only call the isolated paper trading API
|
||
const response = await fetch('/api/paper-trading-safe', {
|
||
method: 'POST',
|
||
headers: { 'Content-Type': 'application/json' },
|
||
body: JSON.stringify({
|
||
symbol,
|
||
selectedTimeframes,
|
||
mode: 'PAPER_ONLY', // REQUIRED for safety
|
||
paperTrading: true,
|
||
isolatedMode: true,
|
||
isContinuous
|
||
})
|
||
})
|
||
|
||
console.log('📡 Response status:', response.status)
|
||
console.log('📡 Response ok:', response.ok)
|
||
|
||
if (!response.ok) {
|
||
const errorText = await response.text()
|
||
console.error('❌ Response error:', errorText)
|
||
throw new Error(`Analysis failed: ${response.status} - ${errorText}`)
|
||
}
|
||
|
||
const result = await response.json()
|
||
console.log('📊 Full API result:', result)
|
||
|
||
if (!result.success) {
|
||
throw new Error(result.error || 'Analysis failed')
|
||
}
|
||
|
||
console.log('✅ SAFE ANALYSIS COMPLETE:', result.analysis.recommendation)
|
||
|
||
const analysisData = {
|
||
...result.analysis,
|
||
timeframes: selectedTimeframes,
|
||
analysisType: isContinuous ? 'CONTINUOUS_LEARNING' : 'MANUAL'
|
||
}
|
||
|
||
setCurrentAnalysis(analysisData)
|
||
|
||
// Add to analysis history with timestamp
|
||
const historyEntry = {
|
||
...analysisData,
|
||
timestamp: new Date().toISOString(),
|
||
symbol: symbol,
|
||
timeframes: selectedTimeframes,
|
||
analysisId: `analysis_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`
|
||
}
|
||
|
||
// Keep only last 10 analyses in history
|
||
setAnalysisHistory(prev => {
|
||
const updated = [historyEntry, ...prev].slice(0, 10)
|
||
try {
|
||
localStorage.setItem('safePaperTrading_analysisHistory', JSON.stringify(updated))
|
||
console.log(`💾 Persisted ${updated.length} analysis history entries`)
|
||
} catch (error) {
|
||
console.error('⚠️ Error persisting analysis history:', error)
|
||
}
|
||
return updated
|
||
})
|
||
|
||
// Update next analysis time for both manual and continuous learning
|
||
if (continuousLearning) {
|
||
const delay = calculateOptimalDelay()
|
||
const nextTime = Date.now() + delay
|
||
setNextAnalysisTime(nextTime)
|
||
console.log(`⏰ Next analysis scheduled for: ${new Date(nextTime).toLocaleString()}`)
|
||
console.log(`⏱️ Delay: ${delay / 60000} minutes`)
|
||
}
|
||
|
||
// AUTO-EXECUTE TRADES: If auto-execute is enabled and we have a strong recommendation, execute the trade
|
||
console.log('🔍 Checking auto-execute conditions:', {
|
||
autoExecuteTrades,
|
||
recommendation: analysisData.recommendation,
|
||
confidence: analysisData.confidence,
|
||
hasAnalysisData: !!analysisData
|
||
})
|
||
|
||
if (autoExecuteTrades && analysisData.recommendation && analysisData.confidence >= 60) {
|
||
const recommendation = analysisData.recommendation.toUpperCase()
|
||
if (recommendation === 'BUY' || recommendation === 'SELL') {
|
||
console.log(`🤖 AUTO-EXECUTE: ${recommendation} signal with ${analysisData.confidence}% confidence`)
|
||
|
||
// Wait a moment for the analysis to fully update, then execute
|
||
setTimeout(() => {
|
||
try {
|
||
executeSafePaperTrade(recommendation)
|
||
console.log(`✅ AUTO-EXECUTED: ${recommendation} trade based on AI recommendation`)
|
||
} catch (error) {
|
||
console.error('❌ Auto-execute error:', error)
|
||
}
|
||
}, 1000)
|
||
} else {
|
||
console.log(`💡 AUTO-EXECUTE: HOLD signal (${recommendation}) - no trade executed`)
|
||
}
|
||
} else if (autoExecuteTrades) {
|
||
console.log(`💡 AUTO-EXECUTE: Recommendation ${analysisData.recommendation} with ${analysisData.confidence}% confidence does not meet execution criteria (need BUY/SELL with ≥60% confidence)`)
|
||
} else {
|
||
console.log(`🔍 AUTO-EXECUTE: Disabled or no valid recommendation`)
|
||
}
|
||
|
||
} catch (error) {
|
||
console.error('❌ Safe analysis error:', error)
|
||
console.error('❌ Error stack:', error.stack)
|
||
setError(error.message)
|
||
} finally {
|
||
setLoading(false)
|
||
console.log('🏁 Analysis complete, loading set to false')
|
||
}
|
||
}
|
||
|
||
const executeSafePaperTrade = (signal) => {
|
||
if (!currentAnalysis) return
|
||
|
||
const trade = {
|
||
id: Date.now(),
|
||
timestamp: new Date().toISOString(),
|
||
symbol: currentAnalysis.symbol,
|
||
timeframe: currentAnalysis.timeframe,
|
||
side: signal,
|
||
entryPrice: currentAnalysis.entry?.price || 100,
|
||
stopLoss: currentAnalysis.stopLoss?.price,
|
||
takeProfit: currentAnalysis.takeProfits?.tp1?.price,
|
||
confidence: currentAnalysis.confidence,
|
||
reasoning: currentAnalysis.reasoning,
|
||
status: 'OPEN',
|
||
momentumStatus: currentAnalysis.momentumStatus?.type,
|
||
entryQuality: currentAnalysis.entryQuality?.score,
|
||
paperMode: true,
|
||
safeMode: true
|
||
}
|
||
|
||
// Calculate position size based on risk management
|
||
const riskAmount = paperBalance * (settings.riskPerTrade / 100)
|
||
const stopDistance = Math.abs(trade.entryPrice - (trade.stopLoss || trade.entryPrice * 0.95))
|
||
trade.positionSize = Math.min(riskAmount / stopDistance, paperBalance * 0.1)
|
||
|
||
setPaperTrades(prev => [trade, ...prev])
|
||
|
||
console.log('📄 SAFE PAPER TRADE:', trade)
|
||
alert(`✅ Safe Paper Trade: ${signal} ${trade.symbol} at $${trade.entryPrice}\\n💡 This is completely isolated - no real money at risk!`)
|
||
}
|
||
|
||
const closeSafePaperTrade = (tradeId, exitPrice) => {
|
||
setPaperTrades(prev => prev.map(trade => {
|
||
if (trade.id === tradeId && trade.status === 'OPEN') {
|
||
const pnl = trade.side === 'BUY'
|
||
? (exitPrice - trade.entryPrice) * (trade.positionSize / trade.entryPrice)
|
||
: (trade.entryPrice - exitPrice) * (trade.positionSize / trade.entryPrice)
|
||
|
||
const isWinner = pnl > 0
|
||
setPaperBalance(current => current + pnl)
|
||
|
||
// Update learning insights after closing trade
|
||
updateLearningInsights(trade, pnl, isWinner)
|
||
|
||
return {
|
||
...trade,
|
||
status: 'CLOSED',
|
||
exitPrice,
|
||
exitTime: new Date().toISOString(),
|
||
pnl,
|
||
isWinner,
|
||
exitReason: 'Manual close'
|
||
}
|
||
}
|
||
return trade
|
||
}))
|
||
}
|
||
|
||
const updateLearningInsights = async (trade, pnl, isWinner) => {
|
||
try {
|
||
// Simulate AI learning from trade outcome
|
||
const learningData = {
|
||
tradeId: trade.id,
|
||
symbol: trade.symbol,
|
||
timeframe: trade.timeframe,
|
||
side: trade.side,
|
||
entryPrice: trade.entryPrice,
|
||
exitPrice: trade.exitPrice || null,
|
||
pnl,
|
||
isWinner,
|
||
confidence: trade.confidence,
|
||
reasoning: trade.reasoning,
|
||
timestamp: new Date().toISOString()
|
||
}
|
||
|
||
console.log('🧠 AI Learning from trade outcome:', learningData)
|
||
|
||
// Call learning API if available (simulated for paper trading)
|
||
setLearningInsights(prev => ({
|
||
...prev,
|
||
lastTrade: learningData,
|
||
totalTrades: (prev?.totalTrades || 0) + 1,
|
||
winners: isWinner ? (prev?.winners || 0) + 1 : (prev?.winners || 0),
|
||
learningPoints: [
|
||
...(prev?.learningPoints || []).slice(-4), // Keep last 4
|
||
{
|
||
timestamp: new Date().toISOString(),
|
||
insight: generateLearningInsight(trade, pnl, isWinner),
|
||
impact: isWinner ? 'POSITIVE' : 'NEGATIVE',
|
||
confidence: trade.confidence
|
||
}
|
||
]
|
||
}))
|
||
|
||
} catch (error) {
|
||
console.error('❌ Error updating learning insights:', error)
|
||
}
|
||
}
|
||
|
||
const generateLearningInsight = (trade, pnl, isWinner) => {
|
||
const winRate = trade.confidence
|
||
if (isWinner) {
|
||
if (winRate >= 80) {
|
||
return `High confidence (${winRate}%) trade succeeded. Reinforcing pattern recognition for ${trade.symbol} ${trade.timeframe}m setups.`
|
||
} else {
|
||
return `Medium confidence (${winRate}%) trade worked out. Learning to trust similar setups more in future.`
|
||
}
|
||
} else {
|
||
if (winRate >= 80) {
|
||
return `High confidence (${winRate}%) trade failed. Reviewing analysis criteria to prevent overconfidence in similar setups.`
|
||
} else {
|
||
return `Medium confidence (${winRate}%) trade didn't work. Adjusting risk thresholds for ${trade.timeframe}m timeframe.`
|
||
}
|
||
}
|
||
}
|
||
|
||
const fetchLearningStatus = async () => {
|
||
try {
|
||
// Fetch real AI learning status from the learning system
|
||
console.log('🧠 Fetching real AI learning status...')
|
||
|
||
// Get real learning status from the AI learning system
|
||
const response = await fetch('/api/ai-learning-status', {
|
||
method: 'GET',
|
||
headers: { 'Content-Type': 'application/json' }
|
||
})
|
||
|
||
if (response.ok) {
|
||
const result = await response.json()
|
||
const realLearningData = result.data
|
||
console.log('✅ Real learning status received:', realLearningData)
|
||
|
||
setLearningInsights(prev => ({
|
||
...prev,
|
||
status: {
|
||
totalDecisions: realLearningData.totalDecisions || 0,
|
||
recentDecisions: realLearningData.totalOutcomes || 0,
|
||
successRate: (realLearningData.avgAccuracy || 0) / 100,
|
||
currentThresholds: {
|
||
emergency: 0.5,
|
||
risk: 1.5,
|
||
confidence: realLearningData.confidenceLevel || 75
|
||
},
|
||
nextTradeAdjustments: [
|
||
realLearningData.recommendation || 'Learning system initializing...',
|
||
realLearningData.nextMilestone || 'Building pattern recognition',
|
||
`Phase: ${realLearningData.phase || 'INITIALIZATION'}`
|
||
],
|
||
phase: realLearningData.phase,
|
||
winRate: realLearningData.winRate,
|
||
daysActive: realLearningData.daysActive
|
||
}
|
||
}))
|
||
} else {
|
||
// If learning API not available, create basic structure without mock data
|
||
console.log('⚠️ Learning API not available, using basic structure')
|
||
setLearningInsights(prev => ({
|
||
...prev,
|
||
status: {
|
||
totalDecisions: 0,
|
||
recentDecisions: 0,
|
||
successRate: 0,
|
||
currentThresholds: {
|
||
emergency: 0.5,
|
||
risk: 1.5,
|
||
confidence: 75
|
||
},
|
||
nextTradeAdjustments: [
|
||
'Learning system initializing...',
|
||
'Building pattern recognition database',
|
||
'Preparing adaptive decision making'
|
||
]
|
||
}
|
||
}))
|
||
}
|
||
|
||
} catch (error) {
|
||
console.error('❌ Error fetching learning status:', error)
|
||
// Minimal structure without any mock data
|
||
setLearningInsights(prev => ({
|
||
...prev,
|
||
status: {
|
||
totalDecisions: 0,
|
||
recentDecisions: 0,
|
||
successRate: 0,
|
||
currentThresholds: {
|
||
emergency: 0.5,
|
||
risk: 1.5,
|
||
confidence: 75
|
||
},
|
||
nextTradeAdjustments: ['Learning system offline']
|
||
}
|
||
}))
|
||
}
|
||
}
|
||
|
||
const resetSafePaperTrading = () => {
|
||
if (confirm('Reset all SAFE paper trading data? This cannot be undone.')) {
|
||
setPaperBalance(1000)
|
||
setPaperTrades([])
|
||
setCurrentAnalysis(null)
|
||
|
||
// Clear both key patterns to ensure complete reset
|
||
localStorage.removeItem('safePaperTrades')
|
||
localStorage.removeItem('safePaperBalance')
|
||
localStorage.removeItem('safePaperTrading_paperTrades')
|
||
localStorage.removeItem('safePaperTrading_paperBalance')
|
||
localStorage.removeItem('safePaperTrading_currentAnalysis')
|
||
|
||
console.log('🗑️ All safe paper trading data reset')
|
||
}
|
||
}
|
||
|
||
const openTrades = paperTrades.filter(t => t.status === 'OPEN')
|
||
const closedTrades = paperTrades.filter(t => t.status === 'CLOSED')
|
||
const totalPnL = closedTrades.reduce((sum, trade) => sum + (trade.pnl || 0), 0)
|
||
const winRate = closedTrades.length > 0
|
||
? Math.round((closedTrades.filter(t => (t.pnl || 0) > 0).length / closedTrades.length) * 100)
|
||
: 0
|
||
|
||
return (
|
||
<div className="space-y-6">
|
||
{/* SAFETY NOTICE */}
|
||
<div className="bg-green-900/30 border border-green-700 rounded-lg p-4">
|
||
<h2 className="text-green-400 font-bold text-lg mb-2">🛡️ SAFE PAPER TRADING MODE</h2>
|
||
<div className="grid grid-cols-1 md:grid-cols-2 gap-4 text-sm">
|
||
<div>
|
||
<p className="text-green-300 mb-1">✅ Completely isolated from real trading</p>
|
||
<p className="text-green-300 mb-1">✅ No connection to live trading APIs</p>
|
||
<p className="text-green-300">✅ Zero risk of real money execution</p>
|
||
</div>
|
||
<div>
|
||
<p className="text-green-300 mb-1">🧠 AI learning through safe simulation</p>
|
||
<p className="text-green-300 mb-1">📊 Real market analysis for practice</p>
|
||
<p className="text-green-300">🎯 Perfect for confidence building</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Header with Balance */}
|
||
<div className="bg-gray-800/50 rounded-lg p-6 border border-gray-700">
|
||
<div className="flex items-center justify-between mb-4">
|
||
<div className="flex items-center space-x-4">
|
||
<h1 className="text-2xl font-bold text-white">📄 Safe Paper Trading</h1>
|
||
{continuousLearning && (
|
||
<div className="flex items-center bg-green-900/30 border border-green-600/50 rounded-lg px-3 py-2">
|
||
<div className="w-2 h-2 bg-green-400 rounded-full animate-pulse mr-2"></div>
|
||
<div className="text-sm">
|
||
<span className="text-green-400 font-medium">🎓 Learning Active</span>
|
||
{timeRemaining > 0 && (
|
||
<div className="text-xs text-green-300 font-mono">
|
||
Next cycle: {formatCountdown(timeRemaining)}
|
||
</div>
|
||
)}
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
<div className="flex items-center space-x-4">
|
||
<div className="text-right">
|
||
<p className="text-sm text-gray-400">Virtual Balance</p>
|
||
<p className={`text-lg font-bold ${paperBalance >= 1000 ? 'text-green-400' : 'text-red-400'}`}>
|
||
${paperBalance.toFixed(2)}
|
||
</p>
|
||
</div>
|
||
<div className="text-right">
|
||
<p className="text-sm text-gray-400">Total P&L</p>
|
||
<p className={`text-lg font-bold ${totalPnL >= 0 ? 'text-green-400' : 'text-red-400'}`}>
|
||
${totalPnL.toFixed(2)}
|
||
</p>
|
||
</div>
|
||
<div className="text-right">
|
||
<p className="text-sm text-gray-400">Win Rate</p>
|
||
<p className="text-lg font-bold text-blue-400">{winRate}%</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Stats */}
|
||
<div className="grid grid-cols-2 md:grid-cols-4 gap-4 text-sm">
|
||
<div className="bg-gray-700/50 rounded p-3 text-center">
|
||
<p className="text-gray-400">Open Trades</p>
|
||
<p className="text-white font-bold text-lg">{openTrades.length}</p>
|
||
</div>
|
||
<div className="bg-gray-700/50 rounded p-3 text-center">
|
||
<p className="text-gray-400">Closed Trades</p>
|
||
<p className="text-white font-bold text-lg">{closedTrades.length}</p>
|
||
</div>
|
||
<div className="bg-gray-700/50 rounded p-3 text-center">
|
||
<p className="text-gray-400">Wins</p>
|
||
<p className="text-green-400 font-bold text-lg">
|
||
{closedTrades.filter(t => (t.pnl || 0) > 0).length}
|
||
</p>
|
||
</div>
|
||
<div className="bg-gray-700/50 rounded p-3 text-center">
|
||
<p className="text-gray-400">Losses</p>
|
||
<p className="text-red-400 font-bold text-lg">
|
||
{closedTrades.filter(t => (t.pnl || 0) < 0).length}
|
||
</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Trading Controls */}
|
||
<div className="bg-gray-800/50 rounded-lg p-6 border border-gray-700">
|
||
<h3 className="text-lg font-bold text-white mb-4">🎯 Safe Analysis Controls</h3>
|
||
|
||
<div className="grid grid-cols-1 md:grid-cols-2 gap-4 mb-4">
|
||
<div>
|
||
<label className="block text-sm text-gray-400 mb-2">Symbol</label>
|
||
<select
|
||
value={symbol}
|
||
onChange={(e) => setSymbol(e.target.value)}
|
||
disabled={loading || continuousLearning}
|
||
className="w-full bg-gray-700 text-white rounded px-3 py-2 disabled:opacity-50"
|
||
>
|
||
<option value="SOLUSD">SOL/USD</option>
|
||
<option value="BTCUSD">BTC/USD</option>
|
||
<option value="ETHUSD">ETH/USD</option>
|
||
</select>
|
||
</div>
|
||
<div>
|
||
<label className="block text-sm text-gray-400 mb-2">
|
||
Continuous Learning
|
||
{continuousLearning && (
|
||
<span className="ml-2 text-xs text-green-400 font-mono bg-green-900/20 px-2 py-1 rounded">
|
||
{timeRemaining > 0 ? (
|
||
<>⏱️ Next: {formatCountdown(timeRemaining)}</>
|
||
) : (
|
||
<>🔄 Analysis running...</>
|
||
)}
|
||
</span>
|
||
)}
|
||
</label>
|
||
<div className="flex gap-2">
|
||
<button
|
||
onClick={() => {
|
||
if (continuousLearning) {
|
||
stopContinuousLearning()
|
||
setContinuousLearning(false)
|
||
} else {
|
||
setContinuousLearning(true)
|
||
startContinuousLearning()
|
||
}
|
||
}}
|
||
disabled={loading}
|
||
className={`flex-1 py-2 px-4 rounded-lg font-medium transition-all duration-200 ${
|
||
continuousLearning
|
||
? 'bg-red-600 hover:bg-red-700 text-white'
|
||
: 'bg-green-600 hover:bg-green-700 text-white'
|
||
} disabled:opacity-50`}
|
||
>
|
||
{continuousLearning ? '🛑 Stop Learning' : '🎓 Start Learning'}
|
||
</button>
|
||
{continuousLearning && (
|
||
<button
|
||
onClick={restartContinuousLearning}
|
||
disabled={loading}
|
||
className="py-2 px-3 rounded-lg font-medium transition-all duration-200 bg-blue-600 hover:bg-blue-700 text-white disabled:opacity-50"
|
||
title="Restart continuous learning if it seems stuck"
|
||
>
|
||
🔄
|
||
</button>
|
||
)}
|
||
<button
|
||
onClick={() => {
|
||
console.log('🔄 Force refresh: Clearing stale data and fetching fresh analysis')
|
||
localStorage.removeItem('safePaperTrading_currentAnalysis')
|
||
setCurrentAnalysis(null)
|
||
runSafeAnalysis(false)
|
||
}}
|
||
disabled={loading}
|
||
className="py-2 px-4 rounded-lg font-medium transition-all duration-200 bg-blue-600 hover:bg-blue-700 text-white disabled:opacity-50"
|
||
title="Clear stale data and get fresh analysis"
|
||
>
|
||
🔄 Fresh
|
||
</button>
|
||
</div>
|
||
|
||
{/* Auto-Execute Toggle - Only show when continuous learning is active */}
|
||
{continuousLearning && (
|
||
<div className="mt-4 p-3 bg-gray-800 rounded-lg border border-gray-700">
|
||
<div className="flex items-center justify-between">
|
||
<div className="flex flex-col">
|
||
<span className="text-sm font-medium text-gray-300">Auto-Execute Trades</span>
|
||
<span className="text-xs text-gray-400">Automatically execute paper trades based on AI recommendations (≥60% confidence)</span>
|
||
</div>
|
||
<button
|
||
onClick={() => setAutoExecuteTrades(!autoExecuteTrades)}
|
||
className={`ml-4 px-4 py-2 rounded-lg font-medium transition-all duration-200 ${
|
||
autoExecuteTrades
|
||
? 'bg-green-600 hover:bg-green-700 text-white'
|
||
: 'bg-gray-600 hover:bg-gray-700 text-white'
|
||
}`}
|
||
>
|
||
{autoExecuteTrades ? '🤖 ON' : '📄 Manual'}
|
||
</button>
|
||
</div>
|
||
{autoExecuteTrades && (
|
||
<div className="mt-2 text-xs text-yellow-400">
|
||
⚡ Paper trades will be executed automatically when AI recommends BUY/SELL with ≥60% confidence
|
||
</div>
|
||
)}
|
||
</div>
|
||
)}
|
||
</div>
|
||
</div>
|
||
|
||
{/* Multi-Timeframe Selection */}
|
||
<div className="mb-6">
|
||
<label className="block text-sm text-gray-400 mb-3">Multi-Timeframe Analysis</label>
|
||
|
||
{/* Trading Style Presets */}
|
||
<div className="grid grid-cols-1 md:grid-cols-3 gap-3 mb-4">
|
||
<button
|
||
type="button"
|
||
onClick={() => setSelectedTimeframes(['5', '15', '30'])}
|
||
disabled={loading || continuousLearning}
|
||
className="group p-4 rounded-lg bg-gradient-to-br from-green-600/20 to-emerald-600/10 border border-green-600/30 hover:border-green-500/50 transition-all duration-200 disabled:opacity-50 text-left"
|
||
>
|
||
<div className="flex items-center justify-between mb-2">
|
||
<div className="text-xl">📈</div>
|
||
<div className="text-xs text-green-400 bg-green-500/20 px-2 py-1 rounded">FAST</div>
|
||
</div>
|
||
<h4 className="text-sm font-bold text-green-300 mb-1">Scalping</h4>
|
||
<div className="text-xs text-green-400/80 font-mono">5m • 15m • 30m</div>
|
||
</button>
|
||
|
||
<button
|
||
type="button"
|
||
onClick={() => setSelectedTimeframes(['60', '120'])}
|
||
disabled={loading || continuousLearning}
|
||
className="group p-4 rounded-lg bg-gradient-to-br from-blue-600/20 to-indigo-600/10 border border-blue-600/30 hover:border-blue-500/50 transition-all duration-200 disabled:opacity-50 text-left"
|
||
>
|
||
<div className="flex items-center justify-between mb-2">
|
||
<div className="text-xl">⚡</div>
|
||
<div className="text-xs text-blue-400 bg-blue-500/20 px-2 py-1 rounded">MEDIUM</div>
|
||
</div>
|
||
<h4 className="text-sm font-bold text-blue-300 mb-1">Day Trading</h4>
|
||
<div className="text-xs text-blue-400/80 font-mono">1h • 2h</div>
|
||
</button>
|
||
|
||
<button
|
||
type="button"
|
||
onClick={() => setSelectedTimeframes(['240', 'D'])}
|
||
disabled={loading || continuousLearning}
|
||
className="group p-4 rounded-lg bg-gradient-to-br from-purple-600/20 to-violet-600/10 border border-purple-600/30 hover:border-purple-500/50 transition-all duration-200 disabled:opacity-50 text-left"
|
||
>
|
||
<div className="flex items-center justify-between mb-2">
|
||
<div className="text-xl">🎯</div>
|
||
<div className="text-xs text-purple-400 bg-purple-500/20 px-2 py-1 rounded">SLOW</div>
|
||
</div>
|
||
<h4 className="text-sm font-bold text-purple-300 mb-1">Swing Trading</h4>
|
||
<div className="text-xs text-purple-400/80 font-mono">4h • 1d</div>
|
||
</button>
|
||
</div>
|
||
|
||
{/* Individual Timeframe Toggles */}
|
||
<div className="grid grid-cols-3 md:grid-cols-7 gap-2">
|
||
{timeframes.map(tf => (
|
||
<button
|
||
key={tf.value}
|
||
onClick={() => toggleTimeframe(tf.value)}
|
||
disabled={loading || continuousLearning}
|
||
className={`py-2 px-3 rounded-lg text-sm font-medium transition-all duration-200 ${
|
||
selectedTimeframes.includes(tf.value)
|
||
? 'bg-blue-600 text-white border border-blue-500'
|
||
: 'bg-gray-700 text-gray-300 border border-gray-600 hover:bg-gray-600'
|
||
} disabled:opacity-50`}
|
||
>
|
||
{tf.label}
|
||
</button>
|
||
))}
|
||
</div>
|
||
|
||
<div className="mt-2 text-xs text-gray-500">
|
||
Selected: {selectedTimeframes.length > 0 ? selectedTimeframes.map(tf =>
|
||
timeframes.find(t => t.value === tf)?.label || tf
|
||
).join(', ') : 'None'}
|
||
{selectedTimeframes.length > 0 && (
|
||
<span className="ml-2 text-blue-400">
|
||
(Analysis delay: {Math.ceil(calculateOptimalDelay() / 60000)}m)
|
||
</span>
|
||
)}
|
||
</div>
|
||
</div>
|
||
|
||
<button
|
||
onClick={() => {
|
||
console.log('🟢 BUTTON CLICK DETECTED!')
|
||
console.log('🔍 Current state - loading:', loading, 'symbol:', symbol, 'timeframes:', selectedTimeframes)
|
||
runSafeAnalysis()
|
||
}}
|
||
disabled={loading || selectedTimeframes.length === 0}
|
||
className={`w-full py-3 px-4 rounded-lg font-medium transition-all duration-200 ${
|
||
loading
|
||
? 'bg-gray-600 text-gray-400 cursor-not-allowed'
|
||
: selectedTimeframes.length === 0
|
||
? 'bg-gray-600 text-gray-400 cursor-not-allowed'
|
||
: 'bg-blue-600 hover:bg-blue-700 text-white'
|
||
}`}
|
||
>
|
||
{loading ? '🔄 Safe Analysis Running...' :
|
||
selectedTimeframes.length === 0 ? '⚠️ Select Timeframes First' :
|
||
'🛡️ Start Safe Paper Analysis'}
|
||
</button>
|
||
|
||
{/* Force Analysis Button for Testing */}
|
||
{continuousLearning && (
|
||
<button
|
||
onClick={() => {
|
||
console.log('🧪 FORCE ANALYSIS: Manual trigger for testing')
|
||
runSafeAnalysis(true)
|
||
}}
|
||
disabled={loading}
|
||
className="w-full mt-2 py-2 px-4 rounded-lg font-medium transition-all duration-200 bg-yellow-600 hover:bg-yellow-700 text-white disabled:opacity-50"
|
||
>
|
||
🧪 Force Analysis Now (Test)
|
||
</button>
|
||
)}
|
||
|
||
<div className="mt-2 text-xs text-gray-500">
|
||
✅ Real market analysis • Paper trading only • Zero trading risk
|
||
{continuousLearning && (
|
||
<span className="block mt-1 text-green-400">
|
||
🎓 Continuous learning active - System automatically analyzes every {Math.ceil(calculateOptimalDelay() / 60000)} minutes
|
||
{timeRemaining > 0 && (
|
||
<span className="ml-2 text-green-300">
|
||
(Next: {formatCountdown(timeRemaining)})
|
||
</span>
|
||
)}
|
||
</span>
|
||
)}
|
||
</div>
|
||
|
||
{/* Clear Data Controls */}
|
||
{(currentAnalysis || paperTrades.length > 0 || analysisHistory.length > 0) && (
|
||
<div className="mt-4 pt-4 border-t border-gray-700">
|
||
<div className="flex items-center justify-between">
|
||
<div className="text-sm text-gray-400">
|
||
<p>Analysis History: {analysisHistory.length} entries</p>
|
||
<p>Paper Trades: {paperTrades.length} trades</p>
|
||
</div>
|
||
<button
|
||
onClick={() => {
|
||
if (confirm('Clear all analysis history and paper trading data? This cannot be undone.')) {
|
||
// Stop continuous learning first
|
||
if (continuousLearning) {
|
||
stopContinuousLearning()
|
||
setContinuousLearning(false)
|
||
}
|
||
|
||
setCurrentAnalysis(null)
|
||
setPaperTrades([])
|
||
setAnalysisHistory([])
|
||
setLearningInsights(null)
|
||
setPaperBalance(1000)
|
||
|
||
// Clear localStorage
|
||
localStorage.removeItem('safePaperTrading_currentAnalysis')
|
||
localStorage.removeItem('safePaperTrading_paperTrades')
|
||
localStorage.removeItem('safePaperTrading_analysisHistory')
|
||
localStorage.removeItem('safePaperTrading_learningInsights')
|
||
localStorage.removeItem('safePaperTrading_paperBalance')
|
||
localStorage.removeItem('safePaperTrading_continuousLearning')
|
||
|
||
console.log('🧹 Cleared all safe paper trading data')
|
||
}
|
||
}}
|
||
className="py-1 px-3 rounded text-xs font-medium transition-all duration-200 bg-gray-600 hover:bg-gray-500 text-gray-300"
|
||
>
|
||
🧹 Clear All Data
|
||
</button>
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
|
||
{/* Error Display */}
|
||
{error && (
|
||
<div className="bg-red-900/30 border border-red-700 rounded-lg p-4">
|
||
<p className="text-red-400">❌ Error: {error}</p>
|
||
</div>
|
||
)}
|
||
|
||
{/* Current Analysis Results */}
|
||
{currentAnalysis && (
|
||
<div className="bg-gray-800/50 rounded-lg p-6 border border-gray-700">
|
||
<h3 className="text-lg font-bold text-white mb-4">📊 Safe Analysis Results</h3>
|
||
|
||
<div className="grid grid-cols-1 md:grid-cols-3 gap-4 mb-4">
|
||
<div className="bg-gray-700/50 rounded p-3">
|
||
<p className="text-gray-400 text-sm">Recommendation</p>
|
||
<p className={`font-bold text-lg ${
|
||
currentAnalysis.recommendation === 'BUY' ? 'text-green-400' :
|
||
currentAnalysis.recommendation === 'SELL' ? 'text-red-400' : 'text-yellow-400'
|
||
}`}>
|
||
{currentAnalysis.recommendation}
|
||
</p>
|
||
</div>
|
||
<div className="bg-gray-700/50 rounded p-3">
|
||
<p className="text-gray-400 text-sm">Confidence</p>
|
||
<p className="font-bold text-lg text-blue-400">{currentAnalysis.confidence}%</p>
|
||
{currentAnalysis.originalConfidence && currentAnalysis.originalConfidence !== currentAnalysis.confidence && (
|
||
<p className="text-xs text-gray-500">
|
||
(Original: {currentAnalysis.originalConfidence}%, Macro: {currentAnalysis.macroAdjustment?.netAdjustment > 0 ? '+' : ''}{currentAnalysis.macroAdjustment?.netAdjustment}%)
|
||
</p>
|
||
)}
|
||
</div>
|
||
<div className="bg-gray-700/50 rounded p-3">
|
||
<p className="text-gray-400 text-sm">Timeframes</p>
|
||
<p className="font-bold text-sm text-purple-400">
|
||
{currentAnalysis.timeframes?.map(tf =>
|
||
timeframes.find(t => t.value === tf)?.label || tf
|
||
).join(', ') || 'Single'}
|
||
</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div className="grid grid-cols-1 md:grid-cols-3 gap-4 mb-4">
|
||
<div className="bg-gray-700/50 rounded p-3">
|
||
<p className="text-gray-400 text-sm">Entry Price</p>
|
||
<p className="font-bold text-lg text-white">${currentAnalysis.entry?.price?.toFixed(2) || 'N/A'}</p>
|
||
</div>
|
||
<div className="bg-gray-700/50 rounded p-3">
|
||
<p className="text-gray-400 text-sm">Analysis Mode</p>
|
||
<p className="font-bold text-sm text-indigo-400">
|
||
{currentAnalysis.analysisMode === 'CONTINUOUS_LEARNING' ? '🎓 Learning' : '👤 Manual'}
|
||
</p>
|
||
</div>
|
||
<div className="bg-gray-700/50 rounded p-3">
|
||
<p className="text-gray-400 text-sm">Primary Focus</p>
|
||
<p className="font-bold text-sm text-cyan-400">
|
||
{currentAnalysis.primaryTimeframe ?
|
||
timeframes.find(t => t.value === currentAnalysis.primaryTimeframe)?.label || currentAnalysis.primaryTimeframe
|
||
: 'N/A'}
|
||
</p>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Action Buttons */}
|
||
{currentAnalysis.recommendation !== 'HOLD' && currentAnalysis.tradeDecision?.allowed && (
|
||
<div className="flex space-x-4 mb-4">
|
||
<button
|
||
onClick={() => executeSafePaperTrade('BUY')}
|
||
disabled={currentAnalysis.recommendation !== 'BUY'}
|
||
className={`flex-1 py-2 px-4 rounded font-medium ${
|
||
currentAnalysis.recommendation === 'BUY'
|
||
? 'bg-green-600 hover:bg-green-700 text-white'
|
||
: 'bg-gray-600 text-gray-400 cursor-not-allowed'
|
||
}`}
|
||
>
|
||
📄 Safe Paper BUY
|
||
</button>
|
||
<button
|
||
onClick={() => executeSafePaperTrade('SELL')}
|
||
disabled={currentAnalysis.recommendation !== 'SELL'}
|
||
className={`flex-1 py-2 px-4 rounded font-medium ${
|
||
currentAnalysis.recommendation === 'SELL'
|
||
? 'bg-red-600 hover:bg-red-700 text-white'
|
||
: 'bg-gray-600 text-gray-400 cursor-not-allowed'
|
||
}`}
|
||
>
|
||
📄 Safe Paper SELL
|
||
</button>
|
||
</div>
|
||
)}
|
||
|
||
{/* Analysis Details */}
|
||
<div className="bg-gray-700/30 rounded p-4">
|
||
<h4 className="text-white font-medium mb-2">Analysis Reasoning:</h4>
|
||
<pre className="text-gray-300 text-sm whitespace-pre-wrap">
|
||
{typeof currentAnalysis.reasoning === 'string'
|
||
? currentAnalysis.reasoning
|
||
: typeof currentAnalysis.reasoning === 'object'
|
||
? JSON.stringify(currentAnalysis.reasoning, null, 2)
|
||
: 'Analysis reasoning not available'}
|
||
</pre>
|
||
</div>
|
||
|
||
{/* Macro Sentiment Panel */}
|
||
{currentAnalysis.macroSentiment && (
|
||
<div className="bg-gradient-to-r from-purple-900/30 to-blue-900/30 rounded p-4 mt-4 border border-purple-500/30">
|
||
<h4 className="text-white font-medium mb-3 flex items-center">
|
||
💰 Macro Sentiment Analysis
|
||
{currentAnalysis.macroAdjustment?.applied && (
|
||
<span className="ml-2 text-xs bg-purple-600 px-2 py-1 rounded">
|
||
{currentAnalysis.macroAdjustment.netAdjustment > 0 ? '+' : ''}{currentAnalysis.macroAdjustment.netAdjustment}%
|
||
</span>
|
||
)}
|
||
</h4>
|
||
|
||
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
|
||
{/* Fear & Greed Index */}
|
||
<div className="bg-gray-800/50 rounded p-3">
|
||
<p className="text-gray-400 text-xs">Fear & Greed Index</p>
|
||
<div className="flex items-center space-x-2">
|
||
<span className={`text-lg font-bold ${
|
||
currentAnalysis.macroSentiment.fearAndGreed?.value <= 25 ? 'text-red-400' :
|
||
currentAnalysis.macroSentiment.fearAndGreed?.value <= 45 ? 'text-orange-400' :
|
||
currentAnalysis.macroSentiment.fearAndGreed?.value >= 75 ? 'text-green-400' :
|
||
currentAnalysis.macroSentiment.fearAndGreed?.value >= 55 ? 'text-yellow-400' :
|
||
'text-gray-400'
|
||
}`}>
|
||
{currentAnalysis.macroSentiment.fearAndGreed?.value || 'N/A'}
|
||
</span>
|
||
<span className="text-xs text-gray-400">
|
||
{currentAnalysis.macroSentiment.fearAndGreed?.classification || 'unknown'}
|
||
</span>
|
||
</div>
|
||
</div>
|
||
|
||
{/* M2 Money Supply */}
|
||
<div className="bg-gray-800/50 rounded p-3">
|
||
<p className="text-gray-400 text-xs">M2 Money Supply</p>
|
||
<div className="flex items-center space-x-2">
|
||
<span className={`text-sm font-bold ${
|
||
currentAnalysis.macroSentiment.m2MoneySupply?.cryptoSignal?.signal === 'BULLISH' ? 'text-green-400' :
|
||
currentAnalysis.macroSentiment.m2MoneySupply?.cryptoSignal?.signal === 'BEARISH' ? 'text-red-400' :
|
||
'text-gray-400'
|
||
}`}>
|
||
{currentAnalysis.macroSentiment.m2MoneySupply?.cryptoSignal?.signal || 'N/A'}
|
||
</span>
|
||
<span className="text-xs text-gray-400">
|
||
({currentAnalysis.macroSentiment.m2MoneySupply?.cryptoSignal?.confidence || 0}%)
|
||
</span>
|
||
</div>
|
||
{currentAnalysis.macroSentiment.m2MoneySupply?.cryptoSignal?.timeframe && (
|
||
<p className="text-xs text-purple-400 mt-1">
|
||
{currentAnalysis.macroSentiment.m2MoneySupply.cryptoSignal.timeframe}
|
||
</p>
|
||
)}
|
||
</div>
|
||
</div>
|
||
|
||
{/* Macro Adjustments Applied */}
|
||
{currentAnalysis.macroAdjustment?.applied && (
|
||
<div className="mt-3 bg-gray-800/30 rounded p-2">
|
||
<p className="text-xs text-gray-400 mb-1">Macro Adjustments Applied:</p>
|
||
<ul className="text-xs text-gray-300 space-y-1">
|
||
{currentAnalysis.macroAdjustment.adjustments.map((adjustment, index) => (
|
||
<li key={index} className="flex items-start">
|
||
<span className="text-purple-400 mr-1">•</span>
|
||
{adjustment}
|
||
</li>
|
||
))}
|
||
</ul>
|
||
</div>
|
||
)}
|
||
</div>
|
||
)}
|
||
|
||
{/* Toggle Detailed Analysis */}
|
||
<button
|
||
onClick={() => setShowDetailedAnalysis(!showDetailedAnalysis)}
|
||
className="w-full mt-4 py-2 px-4 bg-purple-600 hover:bg-purple-700 text-white rounded-lg font-medium transition-all duration-200"
|
||
>
|
||
{showDetailedAnalysis ? '📊 Hide Detailed Analysis' : '🔍 Show Detailed Analysis'}
|
||
</button>
|
||
</div>
|
||
)}
|
||
|
||
{/* Detailed Market Analysis Panel */}
|
||
{currentAnalysis && showDetailedAnalysis && (
|
||
<div className="bg-gradient-to-br from-blue-900/30 to-purple-900/30 rounded-lg p-6 border border-blue-700/50">
|
||
<div className="flex items-center justify-between mb-4">
|
||
<h3 className="text-xl font-bold text-white flex items-center">
|
||
🧠 Market Summary
|
||
{currentAnalysis.timeframes && currentAnalysis.timeframes.length > 1 && (
|
||
<span className="ml-2 text-sm text-purple-400 bg-purple-500/20 px-2 py-1 rounded">
|
||
{currentAnalysis.timeframes.length} Timeframes
|
||
</span>
|
||
)}
|
||
</h3>
|
||
<div className="text-sm text-blue-300">
|
||
{currentAnalysis.analysisMode === 'CONTINUOUS_LEARNING'
|
||
? 'Continuous learning analysis with multi-timeframe insights'
|
||
: 'Comprehensive multi-layout analysis with timeframe risk assessment and cross-layout insights'
|
||
}
|
||
</div>
|
||
</div>
|
||
|
||
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-4 mb-6">
|
||
{/* Market Sentiment */}
|
||
<div className="bg-gray-800/60 rounded-lg p-4">
|
||
<h4 className="text-green-400 font-medium mb-2">Market Sentiment</h4>
|
||
<p className="text-2xl font-bold text-white">{currentAnalysis.marketSentiment || 'NEUTRAL'}</p>
|
||
</div>
|
||
|
||
{/* Recommendation */}
|
||
<div className="bg-gray-800/60 rounded-lg p-4">
|
||
<h4 className="text-blue-400 font-medium mb-2">Recommendation</h4>
|
||
<p className={`text-2xl font-bold ${
|
||
currentAnalysis.recommendation === 'BUY' ? 'text-green-400' :
|
||
currentAnalysis.recommendation === 'SELL' ? 'text-red-400' : 'text-yellow-400'
|
||
}`}>
|
||
{currentAnalysis.recommendation}
|
||
</p>
|
||
<p className="text-sm text-gray-300">{currentAnalysis.confidence}% confidence</p>
|
||
</div>
|
||
|
||
{/* Resistance Levels */}
|
||
<div className="bg-gray-800/60 rounded-lg p-4">
|
||
<h4 className="text-red-400 font-medium mb-2">Resistance Levels</h4>
|
||
<p className="text-white font-mono">
|
||
{currentAnalysis.keyLevels?.resistance?.join(', ') ||
|
||
`$${(currentAnalysis.entry?.price * 1.02 || 164).toFixed(2)}, $${(currentAnalysis.entry?.price * 1.05 || 168).toFixed(2)}`}
|
||
</p>
|
||
</div>
|
||
|
||
{/* Support Levels */}
|
||
<div className="bg-gray-800/60 rounded-lg p-4">
|
||
<h4 className="text-green-400 font-medium mb-2">Support Levels</h4>
|
||
<p className="text-white font-mono">
|
||
{currentAnalysis.keyLevels?.support?.join(', ') ||
|
||
`$${(currentAnalysis.entry?.price * 0.98 || 160).toFixed(2)}, $${(currentAnalysis.entry?.price * 0.95 || 156).toFixed(2)}`}
|
||
</p>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Trading Setup */}
|
||
<div className="bg-purple-900/20 rounded-lg p-4 mb-4">
|
||
<h4 className="text-purple-300 font-medium mb-3">Trading Setup</h4>
|
||
|
||
<div className="grid grid-cols-1 md:grid-cols-3 gap-4 mb-4">
|
||
{/* Entry Point */}
|
||
<div>
|
||
<div className="flex items-center mb-2">
|
||
<span className="text-yellow-400 mr-2">🎯</span>
|
||
<span className="text-yellow-400 font-medium">Entry Point</span>
|
||
</div>
|
||
<p className="text-white font-mono text-lg">${currentAnalysis.entry?.price?.toFixed(2) || 'N/A'}</p>
|
||
<p className="text-sm text-gray-400">
|
||
{typeof currentAnalysis.entry?.reasoning === 'string'
|
||
? currentAnalysis.entry.reasoning
|
||
: typeof currentAnalysis.entry?.reasoning === 'object'
|
||
? JSON.stringify(currentAnalysis.entry.reasoning)
|
||
: currentAnalysis.summary || 'Real market analysis entry point'}
|
||
</p>
|
||
</div>
|
||
|
||
{/* Stop Loss */}
|
||
<div>
|
||
<div className="flex items-center mb-2">
|
||
<span className="text-red-400 mr-2">⭕</span>
|
||
<span className="text-red-400 font-medium">Stop Loss</span>
|
||
</div>
|
||
<p className="text-white font-mono text-lg">${currentAnalysis.stopLoss?.price?.toFixed(2) || 'N/A'}</p>
|
||
<p className="text-sm text-gray-400">
|
||
{typeof currentAnalysis.stopLoss?.reasoning === 'string'
|
||
? currentAnalysis.stopLoss.reasoning
|
||
: typeof currentAnalysis.stopLoss?.reasoning === 'object'
|
||
? JSON.stringify(currentAnalysis.stopLoss.reasoning)
|
||
: 'Real market analysis stop loss level'}
|
||
</p>
|
||
</div>
|
||
|
||
{/* Take Profit Targets */}
|
||
<div>
|
||
<div className="flex items-center mb-2">
|
||
<span className="text-blue-400 mr-2">💎</span>
|
||
<span className="text-blue-400 font-medium">Take Profit Targets</span>
|
||
</div>
|
||
<div className="space-y-1">
|
||
<div>
|
||
<span className="text-blue-400 font-medium">TP1: </span>
|
||
<span className="text-white font-mono">${currentAnalysis.takeProfits?.tp1?.price?.toFixed(2) || 'N/A'}</span>
|
||
</div>
|
||
{currentAnalysis.takeProfits?.tp2 && (
|
||
<div>
|
||
<span className="text-blue-400 font-medium">TP2: </span>
|
||
<span className="text-white font-mono">${currentAnalysis.takeProfits.tp2.price?.toFixed(2)}</span>
|
||
</div>
|
||
)}
|
||
</div>
|
||
<p className="text-sm text-gray-400 mt-1">
|
||
{typeof currentAnalysis.takeProfits?.reasoning === 'string'
|
||
? currentAnalysis.takeProfits.reasoning
|
||
: typeof currentAnalysis.takeProfits?.reasoning === 'object'
|
||
? JSON.stringify(currentAnalysis.takeProfits.reasoning)
|
||
: 'Real market analysis target levels'}
|
||
</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Risk Management */}
|
||
<div className="bg-gray-800/40 rounded-lg p-4">
|
||
<h4 className="text-orange-400 font-medium mb-3">Risk Management</h4>
|
||
|
||
<div className="grid grid-cols-1 md:grid-cols-2 gap-6">
|
||
<div>
|
||
<div className="flex items-center justify-between mb-2">
|
||
<span className="text-gray-300">Risk/Reward Ratio</span>
|
||
<span className="text-orange-400 font-bold">
|
||
{currentAnalysis.riskToReward || 'N/A'}
|
||
</span>
|
||
</div>
|
||
|
||
<div className="flex items-center mb-2">
|
||
<span className="text-yellow-400 mr-2">⚠️</span>
|
||
<span className="text-yellow-400 font-medium">Confirmation Trigger</span>
|
||
</div>
|
||
<p className="text-gray-300 text-sm">
|
||
{typeof currentAnalysis.confirmationTrigger === 'string'
|
||
? currentAnalysis.confirmationTrigger
|
||
: typeof currentAnalysis.confirmationTrigger === 'object'
|
||
? JSON.stringify(currentAnalysis.confirmationTrigger)
|
||
: 'Real market confirmation signals from analysis'}
|
||
</p>
|
||
</div>
|
||
|
||
<div>
|
||
<div className="space-y-2">
|
||
<div className="flex justify-between">
|
||
<span className="text-gray-400">Trend:</span>
|
||
<span className="text-white">
|
||
{typeof currentAnalysis.trendAnalysis === 'object'
|
||
? (currentAnalysis.trendAnalysis?.direction || 'Analyzing...')
|
||
: currentAnalysis.trendAnalysis || 'Analyzing...'}
|
||
</span>
|
||
</div>
|
||
<div className="flex justify-between">
|
||
<span className="text-gray-400">Momentum:</span>
|
||
<span className="text-white">
|
||
{typeof currentAnalysis.momentumAnalysis === 'object'
|
||
? (currentAnalysis.momentumAnalysis?.status || 'Analyzing...')
|
||
: currentAnalysis.momentumAnalysis || 'Analyzing...'}
|
||
</span>
|
||
</div>
|
||
<div className="flex justify-between">
|
||
<span className="text-gray-400">Volume:</span>
|
||
<span className="text-white">
|
||
{typeof currentAnalysis.volumeAnalysis === 'object'
|
||
? (currentAnalysis.volumeAnalysis?.trend || 'Analyzing...')
|
||
: currentAnalysis.volumeAnalysis || 'Analyzing...'}
|
||
</span>
|
||
</div>
|
||
<div className="flex justify-between">
|
||
<span className="text-gray-400">Timeframe Risk:</span>
|
||
<span className="text-white">
|
||
{typeof currentAnalysis.timeframeRisk === 'object'
|
||
? (currentAnalysis.timeframeRisk?.assessment || 'Medium')
|
||
: currentAnalysis.timeframeRisk || 'Medium'}
|
||
</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* AI Learning Insights Panel */}
|
||
{learningInsights && (
|
||
<div className="bg-gradient-to-br from-indigo-900/30 to-purple-900/30 rounded-lg p-6 border border-indigo-700/50">
|
||
<h3 className="text-xl font-bold text-white mb-4 flex items-center">
|
||
🧠 AI Learning Insights
|
||
<span className="ml-2 text-sm text-indigo-300">Real-time learning from trade outcomes</span>
|
||
</h3>
|
||
|
||
<div className="grid grid-cols-1 md:grid-cols-3 gap-4 mb-6">
|
||
{/* Learning Status */}
|
||
<div className="bg-gray-800/60 rounded-lg p-4">
|
||
<h4 className="text-indigo-400 font-medium mb-2">Learning Status</h4>
|
||
<div className="space-y-2">
|
||
<div className="flex justify-between">
|
||
<span className="text-gray-400">Total Decisions:</span>
|
||
<span className="text-white font-bold">{learningInsights.status?.totalDecisions || 0}</span>
|
||
</div>
|
||
<div className="flex justify-between">
|
||
<span className="text-gray-400">Success Rate:</span>
|
||
<span className="text-green-400 font-bold">
|
||
{((learningInsights.status?.successRate || 0) * 100).toFixed(1)}%
|
||
</span>
|
||
</div>
|
||
<div className="flex justify-between">
|
||
<span className="text-gray-400">Paper Trades:</span>
|
||
<span className="text-blue-400 font-bold">{learningInsights.totalTrades || 0}</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Win/Loss Analysis */}
|
||
<div className="bg-gray-800/60 rounded-lg p-4">
|
||
<h4 className="text-green-400 font-medium mb-2">Trade Outcome</h4>
|
||
{learningInsights.lastTrade ? (
|
||
<div className="space-y-2">
|
||
<div className={`flex items-center ${learningInsights.lastTrade.isWinner ? 'text-green-400' : 'text-red-400'}`}>
|
||
<span className="mr-2">{learningInsights.lastTrade.isWinner ? '✅' : '❌'}</span>
|
||
<span className="font-bold">
|
||
{learningInsights.lastTrade.isWinner ? 'WINNER' : 'LOSER'}
|
||
</span>
|
||
</div>
|
||
<div className="text-sm text-gray-400">
|
||
Last: {learningInsights.lastTrade.symbol} ${learningInsights.lastTrade.pnl?.toFixed(2)}
|
||
</div>
|
||
<div className="text-sm text-gray-400">
|
||
Confidence: {learningInsights.lastTrade.confidence}%
|
||
</div>
|
||
</div>
|
||
) : (
|
||
<p className="text-gray-400 text-sm">No trades yet</p>
|
||
)}
|
||
</div>
|
||
|
||
{/* Current Adjustments */}
|
||
<div className="bg-gray-800/60 rounded-lg p-4">
|
||
<h4 className="text-purple-400 font-medium mb-2">AI Adjustments</h4>
|
||
<div className="space-y-1">
|
||
{learningInsights.status?.nextTradeAdjustments?.slice(0, 3).map((adjustment, index) => (
|
||
<div key={index} className="text-xs text-gray-300 flex items-start">
|
||
<span className="text-purple-400 mr-1">•</span>
|
||
<span>{adjustment}</span>
|
||
</div>
|
||
)) || (
|
||
<p className="text-gray-400 text-sm">Analyzing patterns...</p>
|
||
)}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Learning Reflection */}
|
||
{learningInsights.learningPoints && learningInsights.learningPoints.length > 0 && (
|
||
<div className="bg-gray-800/40 rounded-lg p-4">
|
||
<h4 className="text-indigo-300 font-medium mb-3">AI Reflection & Learning</h4>
|
||
<div className="space-y-3">
|
||
{learningInsights.learningPoints.slice(-3).map((point, index) => (
|
||
<div key={index} className={`p-3 rounded border-l-4 ${
|
||
point.impact === 'POSITIVE' ? 'bg-green-900/20 border-green-500' : 'bg-red-900/20 border-red-500'
|
||
}`}>
|
||
<div className="flex items-center justify-between mb-1">
|
||
<span className={`text-sm font-medium ${
|
||
point.impact === 'POSITIVE' ? 'text-green-400' : 'text-red-400'
|
||
}`}>
|
||
{point.impact === 'POSITIVE' ? '📈 Positive Learning' : '📉 Learning from Loss'}
|
||
</span>
|
||
<span className="text-xs text-gray-500">
|
||
{new Date(point.timestamp).toLocaleTimeString()}
|
||
</span>
|
||
</div>
|
||
<p className="text-gray-300 text-sm">{point.insight}</p>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* What AI is Using for Next Trade */}
|
||
<div className="bg-blue-900/20 rounded-lg p-4 mt-4">
|
||
<h4 className="text-blue-300 font-medium mb-3">🔮 AI Database for Next Trade</h4>
|
||
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
|
||
<div>
|
||
<h5 className="text-blue-400 text-sm font-medium mb-2">Current Thresholds:</h5>
|
||
<div className="space-y-1 text-xs">
|
||
<div className="flex justify-between">
|
||
<span className="text-gray-400">Emergency Distance:</span>
|
||
<span className="text-white">{learningInsights.status?.currentThresholds?.emergency || 0.5}%</span>
|
||
</div>
|
||
<div className="flex justify-between">
|
||
<span className="text-gray-400">Risk Distance:</span>
|
||
<span className="text-white">{learningInsights.status?.currentThresholds?.risk || 1.5}%</span>
|
||
</div>
|
||
<div className="flex justify-between">
|
||
<span className="text-gray-400">Min Confidence:</span>
|
||
<span className="text-white">{learningInsights.status?.currentThresholds?.confidence || 75}%</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div>
|
||
<h5 className="text-blue-400 text-sm font-medium mb-2">Pattern Recognition:</h5>
|
||
<div className="space-y-1 text-xs text-gray-300">
|
||
<div>• {symbol} multi-timeframe: {learningInsights.status?.totalDecisions || 0} total decisions in database</div>
|
||
<div>• Success rate: {((learningInsights.status?.successRate || 0) * 100).toFixed(1)}%</div>
|
||
<div>• Learning phase: {learningInsights.status?.phase || 'INITIALIZATION'}</div>
|
||
<div>• Days active: {learningInsights.status?.daysActive || 0} days</div>
|
||
{currentAnalysis?.timeframes && currentAnalysis.timeframes.length > 1 && (
|
||
<div>• Current analysis: {currentAnalysis.timeframes.map(tf =>
|
||
timeframes.find(t => t.value === tf)?.label || tf
|
||
).join(' + ')} confluence</div>
|
||
)}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Open Trades */}
|
||
{openTrades.length > 0 && (
|
||
<div className="bg-gray-800/50 rounded-lg p-6 border border-gray-700">
|
||
<h3 className="text-lg font-bold text-white mb-4">📈 Open Paper Positions</h3>
|
||
<div className="space-y-3">
|
||
{openTrades.map(trade => (
|
||
<div key={trade.id} className="bg-gray-700/50 rounded p-4 flex justify-between items-center">
|
||
<div className="flex-1">
|
||
<div className="flex items-center space-x-4">
|
||
<span className={`px-2 py-1 rounded text-xs font-medium ${
|
||
trade.side === 'BUY' ? 'bg-green-600 text-white' : 'bg-red-600 text-white'
|
||
}`}>
|
||
{trade.side}
|
||
</span>
|
||
<span className="text-white font-medium">{trade.symbol}</span>
|
||
<span className="text-gray-400">${trade.entryPrice}</span>
|
||
<span className="text-gray-400">Size: ${trade.positionSize?.toFixed(2)}</span>
|
||
</div>
|
||
<div className="text-xs text-gray-400 mt-1">
|
||
Entry: {new Date(trade.timestamp).toLocaleString()} |
|
||
Confidence: {trade.confidence}%
|
||
</div>
|
||
</div>
|
||
<button
|
||
onClick={() => {
|
||
const exitPrice = prompt(`Exit price for ${trade.symbol}:`, trade.entryPrice)
|
||
if (exitPrice) closeSafePaperTrade(trade.id, parseFloat(exitPrice))
|
||
}}
|
||
className="bg-yellow-600 hover:bg-yellow-700 text-white px-3 py-1 rounded text-sm"
|
||
>
|
||
Close
|
||
</button>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Trade History */}
|
||
{closedTrades.length > 0 && (
|
||
<div className="bg-gray-800/50 rounded-lg p-6 border border-gray-700">
|
||
<div className="flex justify-between items-center mb-4">
|
||
<h3 className="text-lg font-bold text-white">📈 Safe Paper Trade History</h3>
|
||
<button
|
||
onClick={resetSafePaperTrading}
|
||
className="bg-red-600 hover:bg-red-700 text-white px-3 py-2 rounded text-sm"
|
||
>
|
||
Reset All Data
|
||
</button>
|
||
</div>
|
||
<div className="space-y-2 max-h-96 overflow-y-auto">
|
||
{closedTrades.slice(0, 20).map(trade => (
|
||
<div key={trade.id} className={`p-3 rounded border-l-4 ${
|
||
(trade.pnl || 0) >= 0 ? 'bg-green-900/20 border-green-500' : 'bg-red-900/20 border-red-500'
|
||
}`}>
|
||
<div className="flex justify-between items-center">
|
||
<div className="flex items-center space-x-4">
|
||
<span className={`px-2 py-1 rounded text-xs font-medium ${
|
||
trade.side === 'BUY' ? 'bg-green-600 text-white' : 'bg-red-600 text-white'
|
||
}`}>
|
||
{trade.side}
|
||
</span>
|
||
<span className="text-white">{trade.symbol}</span>
|
||
<span className="text-gray-400">${trade.entryPrice} → ${trade.exitPrice}</span>
|
||
<span className={`font-medium ${
|
||
(trade.pnl || 0) >= 0 ? 'text-green-400' : 'text-red-400'
|
||
}`}>
|
||
${(trade.pnl || 0).toFixed(2)}
|
||
</span>
|
||
<span className={`text-xs px-2 py-1 rounded ${
|
||
trade.isWinner ? 'bg-green-600 text-white' : 'bg-red-600 text-white'
|
||
}`}>
|
||
{trade.isWinner ? 'WIN' : 'LOSS'}
|
||
</span>
|
||
</div>
|
||
</div>
|
||
<div className="text-xs text-gray-400 mt-1">
|
||
{new Date(trade.timestamp).toLocaleDateString()} | Confidence: {trade.confidence}%
|
||
</div>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Analysis History Panel */}
|
||
{analysisHistory.length > 0 && (
|
||
<div className="bg-gradient-to-br from-gray-800/30 to-gray-900/30 rounded-lg p-6 border border-gray-700/50">
|
||
<div className="flex items-center justify-between mb-4">
|
||
<h3 className="text-xl font-bold text-white flex items-center">
|
||
📊 Analysis History
|
||
<span className="ml-2 text-sm text-gray-400 bg-gray-700/50 px-2 py-1 rounded">
|
||
{analysisHistory.length} entries
|
||
</span>
|
||
</h3>
|
||
<span className="text-sm text-gray-400">Recent analyses are automatically saved</span>
|
||
</div>
|
||
|
||
<div className="space-y-3 max-h-96 overflow-y-auto">
|
||
{analysisHistory.map((analysis, index) => (
|
||
<div key={analysis.analysisId || index} className="bg-gray-800/60 rounded-lg p-4 border border-gray-700">
|
||
<div className="flex items-center justify-between mb-2">
|
||
<div className="flex items-center space-x-3">
|
||
<span className={`text-lg font-bold ${
|
||
analysis.recommendation === 'BUY' ? 'text-green-400' :
|
||
analysis.recommendation === 'SELL' ? 'text-red-400' : 'text-yellow-400'
|
||
}`}>
|
||
{analysis.recommendation}
|
||
</span>
|
||
<span className="text-blue-400 font-bold">{analysis.confidence}%</span>
|
||
<span className="text-sm text-gray-400">
|
||
{analysis.symbol} • {analysis.timeframes?.join(', ')}
|
||
</span>
|
||
</div>
|
||
<div className="text-xs text-gray-500">
|
||
{new Date(analysis.timestamp).toLocaleString()}
|
||
</div>
|
||
</div>
|
||
|
||
<div className="grid grid-cols-3 gap-4 text-sm">
|
||
<div>
|
||
<span className="text-gray-400">Entry: </span>
|
||
<span className="text-white font-mono">${analysis.entry?.price?.toFixed(2) || 'N/A'}</span>
|
||
</div>
|
||
<div>
|
||
<span className="text-gray-400">Stop: </span>
|
||
<span className="text-white font-mono">${analysis.stopLoss?.price?.toFixed(2) || 'N/A'}</span>
|
||
</div>
|
||
<div>
|
||
<span className="text-gray-400">Target: </span>
|
||
<span className="text-white font-mono">${analysis.takeProfits?.tp1?.price?.toFixed(2) || 'N/A'}</span>
|
||
</div>
|
||
</div>
|
||
|
||
{analysis.analysisType === 'CONTINUOUS_LEARNING' && (
|
||
<div className="mt-2 text-xs text-purple-400 flex items-center">
|
||
🎓 <span className="ml-1">Continuous learning analysis</span>
|
||
</div>
|
||
)}
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
)
|
||
}
|