Smart stock trading recommendations with GPT-4, TwelveData & NewsAPI analysis
Go to WorkflowDescription
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)