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 Technical Analysis (TwelveData) Fetches 4-hour, 1-day, and 1-week price trends Calculates moving averages and identifies support/resistance levels 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" Live Market Intelligence (Perplexity API) Checks for real-time catalysts (earnings, Fed announcements, rumors) Catches breaking news that historical data might miss Visual Confirmation (Chart-Img API) Generates 1-week chart visualization for quick pattern recognition 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)
