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