
TradeSense AI Advisor
AI-driven stock recommendations with data + news sentiment in one click
Trusted by
Built with GPT-4 and integrated APIs (TwelveData, NewsAPI). Provides transparent reasoning steps and structured outputs.
Success Story
JPMorgan Chase cut false positives by 95% in anti-money laundering using AI document analysis
Integrates with
Problem
Retail traders and small firms struggle with scattered data sources and time-consuming manual analysis. This leads to missed opportunities and inconsistent decisions.
Solution
TradeSense AI Advisor unifies technical data, market sentiment, and AI-driven reasoning to generate structured BUY/SELL/HOLD signals—saving time and improving consistency.
Result
Users can expect faster decisions, reduced manual research, and clearer entry/exit strategies with quantified risk parameters.
Use Cases
TradeSense AI Advisor helps retail investors and small funds make faster, more informed trading decisions. By integrating TwelveData price feeds, NewsAPI sentiment, and GPT-4 analysis, the agent produces structured recommendations including entry price, stop-loss, target levels, and confidence rating. Unlike manual charting or scanning multiple platforms, this workflow centralizes data gathering, applies consistent AI-based interpretation, and returns actionable trading insights in real time. It is especially suited for independent traders, fintech startups, and financial educators seeking to demonstrate AI-driven investing.
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
API & Platform Setup
1 dayConnect and verify API keys for TwelveData, NewsAPI, and OpenAI (GPT-4). Ensure successful authentication, stable data feed retrieval, and secure storage of credentials.
Watchlist & Configuration
0.5–1 dayDefine symbols, timeframes (4h, 1D, 1W), and target markets. Configure output format (BUY/SELL/HOLD), risk ratio, and alert frequency. Set up folder or dashboard for logging recommendations.
Workflow & Logic Testing
1 dayRun sample analyses for 2–3 stocks to validate data accuracy and AI output. Check synchronization between data sources, sentiment analysis, and GPT reasoning. Refine prompt templates for clarity and trading relevance.
Multi-Ticker Scaling
1 dayExpand workflow to handle batch requests for multiple stocks simultaneously. Optimize latency, API usage, and error handling (timeouts, retries, missing data). Enable summary generation for top daily opportunities.
Launch & Monitoring
1 dayDeploy the workflow for continuous operation or on-demand triggers. Validate output structure, review AI reasoning transparency, and monitor API limits. Add notifications (email/Slack) for trade signals and set up performance tracking.
Support Included
Includes: - Quick-start setup guide - API configuration templates (TwelveData, NewsAPI, OpenAI) - Sample trading prompts and watchlist examples - Troubleshooting checklist and rollback instructions







