- Replace time-based cleanup with on-demand cleanup in development mode - Cleanup is triggered immediately after AI analysis completes - Added runPostAnalysisCleanup() method to aggressive-cleanup service - Cleanup triggers added to both single and batch analysis endpoints - More efficient: cleanup happens only when needed, not on timer - Prevents zombie processes without interfering with active analysis - Production mode still uses periodic cleanup as backup (10 min intervals) - Gentle cleanup in development: SIGTERM first, then SIGKILL if needed
764 lines
26 KiB
TypeScript
764 lines
26 KiB
TypeScript
import OpenAI from 'openai'
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import fs from 'fs/promises'
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import path from 'path'
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import { enhancedScreenshotService, ScreenshotConfig } from './enhanced-screenshot'
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import { TradingViewCredentials } from './tradingview-automation'
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import { progressTracker } from './progress-tracker'
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const openai = new OpenAI({
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apiKey: process.env.OPENAI_API_KEY,
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})
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export interface AnalysisResult {
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summary: string
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marketSentiment: 'BULLISH' | 'BEARISH' | 'NEUTRAL'
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keyLevels: {
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support: number[]
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resistance: number[]
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}
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recommendation: 'BUY' | 'SELL' | 'HOLD'
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confidence: number // 0-100
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reasoning: string
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// Enhanced trading analysis (optional)
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entry?: {
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price: number
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buffer?: string
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rationale: string
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}
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stopLoss?: {
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price: number
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rationale: string
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}
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takeProfits?: {
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tp1?: {
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price: number
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description: string
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rsiExpectation?: string
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obvExpectation?: string
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}
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tp2?: {
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price: number
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description: string
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rsiExpectation?: string
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obvExpectation?: string
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}
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}
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riskToReward?: string
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confirmationTrigger?: string
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indicatorAnalysis?: {
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rsi?: string
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vwap?: string
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obv?: string
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macd?: string
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crossLayoutConsensus?: string
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}
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layoutComparison?: {
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aiLayout?: string
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diyLayout?: string
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consensus?: string
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divergences?: string
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}
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timeframeRisk?: {
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assessment?: string
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positionSize?: string
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leverageRecommendation?: string
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}
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alternatives?: {
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tigherStopOption?: string
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scaledEntry?: string
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invalidationScenario?: string
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}
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}
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export class AIAnalysisService {
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async analyzeScreenshot(filenameOrPath: string): Promise<AnalysisResult | null> {
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try {
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let imagePath: string
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// Check if it's already a full path or just a filename
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if (path.isAbsolute(filenameOrPath)) {
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// It's already a full path
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imagePath = filenameOrPath
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} else {
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// It's just a filename, construct the full path
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const screenshotsDir = path.join(process.cwd(), 'screenshots')
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imagePath = path.join(screenshotsDir, filenameOrPath)
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}
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// Read image file
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const imageBuffer = await fs.readFile(imagePath)
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const base64Image = imageBuffer.toString('base64')
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const prompt = `You are a professional trading assistant with expertise in technical analysis. You provide precise, actionable trading insights based on established technical analysis principles.
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**TECHNICAL ANALYSIS FUNDAMENTALS:**
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Before analyzing, understand these core indicator principles:
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**RSI (Relative Strength Index):**
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- Measures momentum on 0-100 scale
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- OVERBOUGHT: Above 70 (potential sell signal)
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- OVERSOLD: Below 30 (potential buy signal)
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- NEUTRAL: 30-70 range
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- ⚠️ CRITICAL: Read visual line position, not numerical value when they conflict
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**MACD (Moving Average Convergence Divergence):**
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- BULLISH CROSSOVER: MACD line crosses ABOVE signal line
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- BEARISH CROSSOVER: MACD line crosses BELOW signal line
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- HISTOGRAM: Green bars = bullish momentum, Red bars = bearish momentum
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- ZERO LINE: Above = bullish trend, Below = bearish trend
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**EMAs (Exponential Moving Averages):**
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- EMA 9 (Yellow): Short-term trend
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- EMA 20 (Orange): Medium-term trend
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- EMA 50 (Blue): Intermediate trend
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- EMA 200 (Red): Long-term trend
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- BULLISH STACK: 9 > 20 > 50 > 200
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- BEARISH STACK: 9 < 20 < 50 < 200
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**Stochastic RSI:**
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- OVERBOUGHT: Above 80
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- OVERSOLD: Below 20
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- BULLISH SIGNAL: %K crosses above %D in oversold territory
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- BEARISH SIGNAL: %K crosses below %D in overbought territory
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**VWAP (Volume Weighted Average Price):**
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- Above VWAP = Bullish sentiment
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- Below VWAP = Bearish sentiment
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- RECLAIM: Price moves back above VWAP (bullish)
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- REJECTION: Price fails at VWAP (bearish)
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**OBV (On-Balance Volume):**
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- Rising OBV = Volume supporting upward price movement
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- Falling OBV = Volume supporting downward price movement
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- DIVERGENCE: OBV direction differs from price (warning signal)
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**LAYOUT IDENTIFICATION:**
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**LAYOUT IDENTIFICATION:**
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**AI Layout (RSI + MACD + EMAs):**
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- TOP: RSI indicator (14-period momentum oscillator)
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- MIDDLE: EMAs (9,20,50,200) + ATR Bands + SVP
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- BOTTOM: MACD indicator with histogram
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- Focus: Momentum + Trend Analysis
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**DIY Layout (Stochastic RSI + VWAP + OBV):**
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- TOP: Stochastic RSI (more sensitive momentum)
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- MIDDLE: VWAP + Smart Money Concepts
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- BOTTOM: OBV (volume flow analysis)
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- Focus: Volume + Institutional Flow Analysis
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**TECHNICAL ANALYSIS PROCESS:**
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1. **MOMENTUM ANALYSIS:**
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- AI Layout: Check RSI overbought/oversold conditions
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- DIY Layout: Check Stochastic RSI %K/%D crossovers
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- Look for momentum divergences with price
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2. **TREND ANALYSIS:**
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- AI Layout: EMA stack order and price position
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- DIY Layout: VWAP position and smart money zones
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- Identify trend direction and strength
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3. **VOLUME CONFIRMATION:**
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- AI Layout: Use MACD histogram for momentum confirmation
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- DIY Layout: Use OBV for volume flow confirmation
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- Volume should confirm price movements
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4. **ENTRY/EXIT LEVELS:**
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- Use confluence of multiple indicators
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- Respect key technical levels (support/resistance)
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- Consider risk/reward ratios
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**TRADING SIGNALS:**
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**BULLISH SIGNALS:**
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- RSI oversold + MACD bullish crossover (AI Layout)
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- Stoch RSI oversold crossover + VWAP reclaim (DIY Layout)
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- Price above key EMAs in bullish stack
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- OBV rising with price (volume confirmation)
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**BEARISH SIGNALS:**
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- RSI overbought + MACD bearish crossover (AI Layout)
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- Stoch RSI overbought crossover + VWAP rejection (DIY Layout)
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- Price below key EMAs in bearish stack
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- OBV falling with price (volume confirmation)
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**TIMEFRAME RISK ASSESSMENT:**
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- **1m-15m**: High risk, 10x+ leverage, tight stops, scalping setups
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- **1H-4H**: Medium risk, 3-5x leverage, moderate stops, swing setups
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- **1D+**: Low risk, 1-2x leverage, wide stops, position setups
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**ANALYSIS REQUIREMENTS:**
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1. **IDENTIFY LAYOUT TYPE**: AI Layout (RSI/MACD/EMAs) or DIY Layout (Stoch RSI/VWAP/OBV)
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2. **MOMENTUM ASSESSMENT**:
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- Check primary momentum indicator (RSI or Stochastic RSI)
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- Look for overbought/oversold conditions
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- Identify momentum divergences
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3. **TREND CONFIRMATION**:
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- EMA alignment and price position (AI Layout)
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- VWAP position and smart money zones (DIY Layout)
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- Determine trend direction and strength
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4. **VOLUME ANALYSIS**:
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- MACD histogram momentum (AI Layout)
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- OBV volume flow confirmation (DIY Layout)
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- Volume should confirm price movements
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5. **PRECISE TRADING LEVELS**:
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- **ENTRY**: Exact price with ±buffer and technical rationale
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- **STOP LOSS**: Exact level with clear reasoning
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- **TAKE PROFITS**: TP1 (structure) and TP2 (extension) with indicator expectations
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- **RISK/REWARD**: Calculate R:R ratio
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6. **CONFIRMATION TRIGGERS**: Specific signals to wait for before entry
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**ANALYZE THE CHART AND PROVIDE:**
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- Current price action and trend direction
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- Key support and resistance levels visible on the chart
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- Technical indicator readings based on layout type
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- Chart patterns or formations
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- Market structure elements
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Provide your analysis in this exact JSON format:
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{
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"layoutDetected": "AI Layout|DIY Layout",
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"summary": "Comprehensive technical analysis with layout-specific indicator interpretation",
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"marketSentiment": "BULLISH|BEARISH|NEUTRAL",
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"keyLevels": {
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"support": [visible support price levels as numbers],
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"resistance": [visible resistance price levels as numbers]
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},
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"recommendation": "BUY|SELL|HOLD",
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"confidence": 85,
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"reasoning": "Technical analysis reasoning based on established TA principles and indicator confluence",
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"momentumAnalysis": {
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"primary": "RSI OVERBOUGHT/OVERSOLD/NEUTRAL (AI Layout) or Stoch RSI status (DIY Layout)",
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"divergence": "Any momentum divergence with price action",
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"strength": "Momentum strength assessment"
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},
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"trendAnalysis": {
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"direction": "BULLISH|BEARISH|NEUTRAL",
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"emaAlignment": "EMA stack order and price position (AI Layout)",
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"vwapPosition": "VWAP relationship to price (DIY Layout)",
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"strength": "Trend strength assessment"
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},
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"volumeAnalysis": {
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"macdHistogram": "MACD momentum confirmation (AI Layout)",
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"obvFlow": "OBV volume flow analysis (DIY Layout)",
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"confirmation": "Volume confirming or diverging from price"
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},
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"entry": {
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"price": 150.50,
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"buffer": "±0.25",
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"rationale": "Specific technical reasoning based on indicator confluence"
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},
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"stopLoss": {
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"price": 148.00,
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"rationale": "Exact reasoning based on technical levels"
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},
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"takeProfits": {
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"tp1": {
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"price": 152.00,
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"description": "First target based on structure",
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"indicatorExpectation": "Expected indicator behavior at TP1"
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},
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"tp2": {
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"price": 154.00,
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"description": "Extended target for momentum continuation",
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"indicatorExpectation": "Expected indicator behavior at TP2"
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}
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},
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"riskToReward": "1:2.5",
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"confirmationTrigger": "Specific signal to wait for before entry",
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"timeframeRisk": {
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"assessment": "Risk level based on timeframe",
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"positionSize": "Position sizing recommendation",
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"leverageRecommendation": "Leverage suggestion based on timeframe"
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},
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"alternatives": {
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"tighterStop": "Alternative setup with tighter stop if needed",
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"scaledEntry": "Scaled entry approach if available",
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"invalidation": "What would invalidate this setup"
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}
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}
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Return only the JSON object with your technical analysis.`
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const response = await openai.chat.completions.create({
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model: "gpt-4o-mini", // Cost-effective vision model
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messages: [
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{
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role: "user",
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content: [
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{ type: "text", text: prompt },
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{
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type: "image_url",
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image_url: {
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url: `data:image/png;base64,${base64Image}`,
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detail: "low" // Reduce token usage
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}
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}
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]
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}
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],
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max_tokens: 1024,
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temperature: 0.1
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})
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const content = response.choices[0]?.message?.content
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if (!content) return null
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console.log('AI response content:', content)
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// Extract JSON from response
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const match = content.match(/\{[\s\S]*\}/)
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if (!match) {
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console.error('No JSON found in response. Full content:', content)
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return null
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}
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const json = match[0]
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console.log('Raw JSON from AI:', json)
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let result
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try {
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result = JSON.parse(json)
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console.log('Parsed result:', result)
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} catch (parseError) {
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console.error('Failed to parse JSON:', parseError)
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console.error('Raw JSON that failed:', json)
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return null
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}
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// Sanitize the result to ensure no nested objects cause React issues
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const sanitizedResult = {
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summary: typeof result.summary === 'string' ? result.summary : String(result.summary || ''),
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marketSentiment: result.marketSentiment || 'NEUTRAL',
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keyLevels: {
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support: Array.isArray(result.keyLevels?.support) ? result.keyLevels.support : [],
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resistance: Array.isArray(result.keyLevels?.resistance) ? result.keyLevels.resistance : []
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},
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recommendation: result.recommendation || 'HOLD',
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confidence: typeof result.confidence === 'number' ? result.confidence : 0,
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reasoning: typeof result.reasoning === 'string' ? result.reasoning : String(result.reasoning || 'Basic technical analysis'),
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...(result.entry && { entry: result.entry }),
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...(result.stopLoss && { stopLoss: result.stopLoss }),
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...(result.takeProfits && { takeProfits: result.takeProfits }),
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...(result.riskToReward && { riskToReward: String(result.riskToReward) }),
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...(result.confirmationTrigger && { confirmationTrigger: String(result.confirmationTrigger) }),
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...(result.indicatorAnalysis && { indicatorAnalysis: result.indicatorAnalysis })
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}
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// Optionally: validate result structure here
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return sanitizedResult as AnalysisResult
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} catch (e) {
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console.error('AI analysis error:', e)
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return null
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}
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}
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async analyzeMultipleScreenshots(filenamesOrPaths: string[]): Promise<AnalysisResult | null> {
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try {
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// Read all image files and convert to base64
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const images = await Promise.all(
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filenamesOrPaths.map(async (filenameOrPath) => {
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let imagePath: string
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// Check if it's already a full path or just a filename
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if (path.isAbsolute(filenameOrPath)) {
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// It's already a full path
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imagePath = filenameOrPath
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} else {
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// It's just a filename, construct the full path
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const screenshotsDir = path.join(process.cwd(), 'screenshots')
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imagePath = path.join(screenshotsDir, filenameOrPath)
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}
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const imageBuffer = await fs.readFile(imagePath)
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const base64Image = imageBuffer.toString('base64')
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return {
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type: "image_url" as const,
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image_url: {
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url: `data:image/png;base64,${base64Image}`,
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detail: "high" as const
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}
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}
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})
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)
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const layoutInfo = filenamesOrPaths.map(f => {
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const filename = path.basename(f) // Extract filename from path
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if (filename.includes('_ai_')) return 'AI Layout'
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if (f.includes('_diy_') || f.includes('_Diy module_')) return 'DIY Module Layout'
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return 'Unknown Layout'
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}).join(' and ')
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const prompt = `You are a professional trading assistant with expertise in technical analysis. You provide precise, actionable trading insights based on established technical analysis principles.
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I'm providing you with ${filenamesOrPaths.length} TradingView chart screenshots from different layouts: ${layoutInfo}.
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|
|
**TECHNICAL ANALYSIS FUNDAMENTALS:**
|
|
|
|
**RSI (Relative Strength Index):**
|
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- OVERBOUGHT: Above 70 (potential sell signal)
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|
- OVERSOLD: Below 30 (potential buy signal)
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|
- NEUTRAL: 30-70 range
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|
- ⚠️ CRITICAL: Read visual line position, not numerical value when they conflict
|
|
|
|
**MACD (Moving Average Convergence Divergence):**
|
|
- BULLISH CROSSOVER: MACD line crosses ABOVE signal line
|
|
- BEARISH CROSSOVER: MACD line crosses BELOW signal line
|
|
- HISTOGRAM: Green bars = bullish momentum, Red bars = bearish momentum
|
|
- ZERO LINE: Above = bullish trend, Below = bearish trend
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|
|
|
**EMAs (Exponential Moving Averages):**
|
|
- EMA 9 (Yellow): Short-term trend
|
|
- EMA 20 (Orange): Medium-term trend
|
|
- EMA 50 (Blue): Intermediate trend
|
|
- EMA 200 (Red): Long-term trend
|
|
- BULLISH STACK: 9 > 20 > 50 > 200
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|
- BEARISH STACK: 9 < 20 < 50 < 200
|
|
|
|
**Stochastic RSI:**
|
|
- OVERBOUGHT: Above 80
|
|
- OVERSOLD: Below 20
|
|
- BULLISH SIGNAL: %K crosses above %D in oversold territory
|
|
- BEARISH SIGNAL: %K crosses below %D in overbought territory
|
|
|
|
**VWAP (Volume Weighted Average Price):**
|
|
- Above VWAP = Bullish sentiment
|
|
- Below VWAP = Bearish sentiment
|
|
- RECLAIM: Price moves back above VWAP (bullish)
|
|
- REJECTION: Price fails at VWAP (bearish)
|
|
|
|
**OBV (On-Balance Volume):**
|
|
- Rising OBV = Volume supporting upward price movement
|
|
- Falling OBV = Volume supporting downward price movement
|
|
- DIVERGENCE: OBV direction differs from price (warning signal)
|
|
|
|
**MULTI-LAYOUT ANALYSIS:**
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|
|
|
**MULTI-LAYOUT ANALYSIS:**
|
|
|
|
**AI Layout (RSI + MACD + EMAs):**
|
|
- Focus: Momentum + Trend Analysis
|
|
- Primary indicators: RSI, MACD, EMAs
|
|
- Use for: Trend direction, momentum signals, entry/exit timing
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|
|
|
**DIY Layout (Stochastic RSI + VWAP + OBV):**
|
|
- Focus: Volume + Institutional Flow Analysis
|
|
- Primary indicators: Stochastic RSI, VWAP, OBV
|
|
- Use for: Volume confirmation, institutional sentiment, fair value
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|
|
|
**ANALYSIS PROCESS:**
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|
1. **Identify Layout Types**: Determine which layouts are provided
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|
2. **Momentum Assessment**: Check primary momentum indicators
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|
3. **Trend Confirmation**: Analyze trend direction and strength
|
|
4. **Volume Analysis**: Confirm with volume indicators
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|
5. **Cross-Layout Consensus**: Compare insights for confirmation
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|
6. **Risk Assessment**: Adjust for timeframe and volatility
|
|
|
|
**TIMEFRAME RISK ASSESSMENT:**
|
|
- **1m-15m**: High risk, 10x+ leverage, tight stops, scalping setups
|
|
- **1H-4H**: Medium risk, 3-5x leverage, moderate stops, swing setups
|
|
- **1D+**: Low risk, 1-2x leverage, wide stops, position setups
|
|
|
|
**PROVIDE PRECISE TRADING LEVELS:**
|
|
- **ENTRY**: Exact price with ±buffer and technical rationale
|
|
- **STOP LOSS**: Exact level with clear reasoning
|
|
- **TAKE PROFITS**: TP1 (structure) and TP2 (extension) with indicator expectations
|
|
- **RISK/REWARD**: Calculate R:R ratio
|
|
- **CONFIRMATION TRIGGERS**: Specific signals to wait for
|
|
|
|
**ANALYZE THE CHARTS AND PROVIDE:**
|
|
- Current price action and trend direction
|
|
- Key support and resistance levels
|
|
- Technical indicator readings based on layout types
|
|
- Cross-layout consensus and divergences
|
|
- Market structure elements
|
|
|
|
**Response Format** (return only valid JSON):
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|
|
|
{
|
|
"summary": "Comprehensive multi-layout analysis with cross-layout consensus and TA fundamentals",
|
|
"marketSentiment": "BULLISH|BEARISH|NEUTRAL",
|
|
"keyLevels": {
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|
"support": [array of support levels from all charts],
|
|
"resistance": [array of resistance levels from all charts]
|
|
},
|
|
"recommendation": "BUY|SELL|HOLD",
|
|
"confidence": 85,
|
|
"reasoning": "Multi-layout technical analysis with cross-layout confirmation",
|
|
"layoutsAnalyzed": ["AI Layout", "DIY Layout"],
|
|
"momentumAnalysis": {
|
|
"aiLayout": "RSI analysis from AI layout",
|
|
"diyLayout": "Stochastic RSI analysis from DIY layout",
|
|
"consensus": "Momentum consensus between layouts",
|
|
"divergence": "Any momentum divergences detected"
|
|
},
|
|
"trendAnalysis": {
|
|
"aiLayout": "EMA alignment and trend from AI layout",
|
|
"diyLayout": "VWAP position and smart money from DIY layout",
|
|
"consensus": "Trend consensus between layouts",
|
|
"direction": "BULLISH|BEARISH|NEUTRAL"
|
|
},
|
|
"volumeAnalysis": {
|
|
"aiLayout": "MACD histogram momentum from AI layout",
|
|
"diyLayout": "OBV volume flow from DIY layout",
|
|
"consensus": "Volume consensus between layouts",
|
|
"confirmation": "Volume confirming or diverging from price"
|
|
},
|
|
"entry": {
|
|
"price": 150.50,
|
|
"buffer": "±0.25",
|
|
"rationale": "Cross-layout confluence supporting entry level"
|
|
},
|
|
"stopLoss": {
|
|
"price": 148.00,
|
|
"rationale": "Technical level confirmed by multiple layouts"
|
|
},
|
|
"takeProfits": {
|
|
"tp1": {
|
|
"price": 152.00,
|
|
"description": "First target with multi-layout support",
|
|
"indicatorExpectation": "Expected behavior across both layouts"
|
|
},
|
|
"tp2": {
|
|
"price": 154.00,
|
|
"description": "Extended target for momentum continuation",
|
|
"indicatorExpectation": "Extended momentum expectations"
|
|
}
|
|
},
|
|
"riskToReward": "1:2.5",
|
|
"confirmationTrigger": "Specific cross-layout signal to wait for",
|
|
"layoutComparison": {
|
|
"aiLayoutEdge": "Specific advantage of AI layout analysis",
|
|
"diyLayoutEdge": "Specific advantage of DIY layout analysis",
|
|
"consensus": "Areas where both layouts strongly agree",
|
|
"divergences": "Areas where layouts disagree and resolution"
|
|
},
|
|
"timeframeRisk": {
|
|
"assessment": "Risk level based on timeframe",
|
|
"positionSize": "Position sizing recommendation",
|
|
"leverageRecommendation": "Leverage suggestion for timeframe"
|
|
},
|
|
"alternatives": {
|
|
"tighterStop": "Alternative with tighter stop if needed",
|
|
"scaledEntry": "Scaled entry approach if available",
|
|
"invalidation": "What would invalidate this setup"
|
|
}
|
|
}
|
|
|
|
Analyze all provided screenshots comprehensively and return only the JSON response.`
|
|
|
|
const messages = [
|
|
{
|
|
role: "user" as const,
|
|
content: [
|
|
{ type: "text" as const, text: prompt },
|
|
...images
|
|
]
|
|
}
|
|
]
|
|
|
|
console.log(`🤖 Sending ${filenamesOrPaths.length} screenshots to OpenAI for multi-layout analysis...`)
|
|
|
|
const response = await openai.chat.completions.create({
|
|
model: "gpt-4o-mini", // Cost-effective model with vision capabilities
|
|
messages,
|
|
max_tokens: 2000,
|
|
temperature: 0.1
|
|
})
|
|
|
|
const content = response.choices[0]?.message?.content
|
|
if (!content) {
|
|
throw new Error('No response from OpenAI')
|
|
}
|
|
|
|
console.log('🔍 Raw OpenAI response:', content.substring(0, 200) + '...')
|
|
|
|
// Parse JSON response
|
|
const jsonMatch = content.match(/\{[\s\S]*\}/)
|
|
if (!jsonMatch) {
|
|
throw new Error('No JSON found in response')
|
|
}
|
|
|
|
const analysis = JSON.parse(jsonMatch[0])
|
|
console.log('✅ Multi-layout analysis parsed successfully')
|
|
|
|
return analysis as AnalysisResult
|
|
|
|
} catch (error: any) {
|
|
console.error('❌ Multi-screenshot AI analysis failed:', error.message)
|
|
console.error('Full error:', error)
|
|
return null
|
|
}
|
|
}
|
|
|
|
async captureAndAnalyze(
|
|
symbol: string,
|
|
timeframe: string,
|
|
credentials: TradingViewCredentials
|
|
): Promise<AnalysisResult | null> {
|
|
try {
|
|
console.log(`Starting automated capture and analysis for ${symbol} ${timeframe}`)
|
|
|
|
// Capture screenshot using automation
|
|
const screenshot = await enhancedScreenshotService.captureQuick(symbol, timeframe, credentials)
|
|
|
|
if (!screenshot) {
|
|
throw new Error('Failed to capture screenshot')
|
|
}
|
|
|
|
console.log(`Screenshot captured: ${screenshot}`)
|
|
|
|
// Analyze the captured screenshot
|
|
const analysis = await this.analyzeScreenshot(screenshot)
|
|
|
|
if (!analysis) {
|
|
throw new Error('Failed to analyze screenshot')
|
|
}
|
|
|
|
console.log(`Analysis completed for ${symbol} ${timeframe}`)
|
|
return analysis
|
|
|
|
} catch (error) {
|
|
console.error('Automated capture and analysis failed:', error)
|
|
return null
|
|
}
|
|
}
|
|
|
|
async captureAndAnalyzeMultiple(
|
|
symbols: string[],
|
|
timeframes: string[],
|
|
credentials: TradingViewCredentials
|
|
): Promise<Array<{ symbol: string; timeframe: string; analysis: AnalysisResult | null }>> {
|
|
const results: Array<{ symbol: string; timeframe: string; analysis: AnalysisResult | null }> = []
|
|
|
|
for (const symbol of symbols) {
|
|
for (const timeframe of timeframes) {
|
|
try {
|
|
console.log(`Processing ${symbol} ${timeframe}...`)
|
|
const analysis = await this.captureAndAnalyze(symbol, timeframe, credentials)
|
|
|
|
results.push({
|
|
symbol,
|
|
timeframe,
|
|
analysis
|
|
})
|
|
|
|
// Small delay between captures to avoid overwhelming the system
|
|
await new Promise(resolve => setTimeout(resolve, 2000))
|
|
|
|
} catch (error) {
|
|
console.error(`Failed to process ${symbol} ${timeframe}:`, error)
|
|
results.push({
|
|
symbol,
|
|
timeframe,
|
|
analysis: null
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
return results
|
|
}
|
|
|
|
async captureAndAnalyzeWithConfig(config: ScreenshotConfig): Promise<{
|
|
screenshots: string[]
|
|
analysis: AnalysisResult | null
|
|
}> {
|
|
const { sessionId } = config
|
|
|
|
try {
|
|
console.log(`Starting automated capture with config for ${config.symbol} ${config.timeframe}`)
|
|
|
|
// Capture screenshots using enhanced service (this will handle its own progress)
|
|
const screenshots = await enhancedScreenshotService.captureWithLogin(config)
|
|
|
|
if (screenshots.length === 0) {
|
|
throw new Error('No screenshots captured')
|
|
}
|
|
|
|
console.log(`${screenshots.length} screenshot(s) captured`)
|
|
|
|
// Add AI analysis step to progress if sessionId exists
|
|
if (sessionId) {
|
|
progressTracker.updateStep(sessionId, 'analysis', 'active', 'Running AI analysis on screenshots...')
|
|
}
|
|
|
|
let analysis: AnalysisResult | null = null
|
|
|
|
if (screenshots.length === 1) {
|
|
// Single screenshot analysis
|
|
analysis = await this.analyzeScreenshot(screenshots[0])
|
|
} else {
|
|
// Multiple screenshots analysis
|
|
analysis = await this.analyzeMultipleScreenshots(screenshots)
|
|
}
|
|
|
|
if (!analysis) {
|
|
if (sessionId) {
|
|
progressTracker.updateStep(sessionId, 'analysis', 'error', 'AI analysis failed to generate results')
|
|
}
|
|
throw new Error('Failed to analyze screenshots')
|
|
}
|
|
|
|
console.log(`Analysis completed for ${config.symbol} ${config.timeframe}`)
|
|
|
|
if (sessionId) {
|
|
progressTracker.updateStep(sessionId, 'analysis', 'completed', 'AI analysis completed successfully!')
|
|
// Mark session as complete
|
|
setTimeout(() => progressTracker.deleteSession(sessionId), 1000)
|
|
}
|
|
|
|
// Trigger post-analysis cleanup in development mode
|
|
if (process.env.NODE_ENV === 'development') {
|
|
try {
|
|
// Dynamic import to avoid circular dependencies
|
|
const aggressiveCleanupModule = await import('./aggressive-cleanup')
|
|
const aggressiveCleanup = aggressiveCleanupModule.default
|
|
// Run cleanup in background, don't block the response
|
|
aggressiveCleanup.runPostAnalysisCleanup().catch(console.error)
|
|
} catch (cleanupError) {
|
|
console.error('Error triggering post-analysis cleanup:', cleanupError)
|
|
}
|
|
}
|
|
|
|
return {
|
|
screenshots,
|
|
analysis
|
|
}
|
|
|
|
} catch (error) {
|
|
console.error('Automated capture and analysis with config failed:', error)
|
|
|
|
if (sessionId) {
|
|
// Find the active step and mark it as error
|
|
const progress = progressTracker.getProgress(sessionId)
|
|
if (progress) {
|
|
const activeStep = progress.steps.find(step => step.status === 'active')
|
|
if (activeStep) {
|
|
progressTracker.updateStep(sessionId, activeStep.id, 'error', error instanceof Error ? error.message : 'Unknown error')
|
|
}
|
|
}
|
|
// Clean up session
|
|
setTimeout(() => progressTracker.deleteSession(sessionId), 5000)
|
|
}
|
|
|
|
return {
|
|
screenshots: [],
|
|
analysis: null
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
export const aiAnalysisService = new AIAnalysisService()
|