Smart stock trading recommendations with GPT-4, TwelveData & NewsAPI analysis

Smart Stock Trading Recommendations with GPT-4, TwelveData & NewsAPI What It Does This template automates stock analysis by combining technical analysis, news sentiment, and real-time market data to generate actionable trading recommendations with confidence scores, risk management parameters, and entry/exit levels. Why It's Useful - Data-Driven Decisions: Eliminates emotional trading by synthesizing multiple data sources - Time-Saving: Analyzes a stock in seconds instead of hours of manual research - Risk Management: Automatically calculates stop losses and risk/reward ratios - Real-Time Context: Combines historical trends with breaking news and latest sentiment How It Works 1. Technical Analysis (TwelveData) - Fetches 4-hour, 1-day, and 1-week price trends - Calculates moving averages and identifies support/resistance levels 2. News Sentiment (NewsAPI + GPT-4) - Pulls recent news articles about the stock - Uses AI to score sentiment impact on price (-1.0 to +1.0) - Distinguishes between "bad news" and "sell pressure" 3. Live Market Intelligence (Perplexity API) - Checks for real-time catalysts (earnings, Fed announcements, rumors) - Catches breaking news that historical data might miss 4. Visual Confirmation (Chart-Img API) - Generates 1-week chart visualization for quick pattern recognition 5. AI Decision Engine (GPT-4) - Synthesizes all signals using quantitative decision rules - Outputs: BUY/SELL/HOLD verdict with confidence level, entry zone, stop loss, and profit target Trade Setup Output Each recommendation includes: - Verdict: BUY, SELL, or HOLD (with confidence score) - Entry Zone: Optimal price to enter - Stop Loss: Risk protection level - Target: Profit objective - Risk/Reward Ratio: Trade viability metric Required API Keys - TwelveData (stock prices) - NewsAPI (news articles) - OpenAI (GPT-4 analysis) - Perplexity (live sentiment) - Chart-Img (optional - for chart visualization)