
SignalKlines AI
SignalKlines AI automates technical pattern detection on Tesla (TSLA) stock across 1-hour and 1-day intervals. It fetches OHLCV data from Alpha Vantage, feeds it into GPT-4.1 (via LangChain) to reason about candlestick reversal patterns (Doji, Engulfing, Hammer, Shooting Star) and volume divergence. The agent returns a JSON report summarizing signals, strength, and context. Ideal as a sub-agent in larger market analysis systems or as a standalone trading signal generator
Trusted by
SignalKlines AI is built on the standard LangChain + GPT + data fetch paradigm, a pattern used by leading quant firms in research and production contexts
Success Story
Man Group deployed an AI agentic system that generated “several dozen” trading ideas that passed its investment committee
Integrates with
Problem
Traders and quants often miss reversal opportunities because manually scanning multiple timeframes with price + volume data is laborious and error-prone. Detecting nuanced price + volume divergence patterns in real time across multiple time horizons is difficult without AI support
Solution
SignalKlines AI automates the entire detection process: it fetches 1h and 1d OHLCV data, feeds that into GPT-4.1 to interpret patterns & divergences, and outputs structured JSON with signal labels and confidence. This reduces manual signal search and supports decision automation
Result
Users get real-time, consistent candlestick + volume signals without manual effort. Reaction time drops from minutes to seconds, and signal coverage becomes reliable and scalable
Use Cases
SignalKlines AI automates technical pattern detection on Tesla (TSLA) stock across 1-hour and 1-day intervals. It fetches OHLCV data from Alpha Vantage, feeds it into GPT-4.1 (via LangChain) to reason about candlestick reversal patterns (Doji, Engulfing, Hammer, Shooting Star) and volume divergence. The agent returns a JSON report summarizing signals, strength, and context. Ideal as a sub-agent in larger market analysis systems or as a standalone trading signal generator
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Configure Execute Workflow Trigger & Inputs
~2–3 hoursSet up the workflow trigger (manual or scheduled) that initiates signal analysis. Define input parameters — ticker (TSLA), timeframe (1h / 1d), and output structure. Validate that triggers activate correctly and data passes through the pipeline
Set Up HTTP Request Tools for 1h & 1d OHLCV Data
~3–4 hoursConfigure HTTP request nodes to fetch Tesla OHLCV data from Alpha Vantage or another stock data API. Ensure correct API key authentication and consistent JSON formatting. Test data retrieval for both hourly and daily intervals to confirm accuracy and stability
Configure GPT Agent Prompt and System Message
~4–5 hoursDesign the system prompt for the GPT model to detect candlestick patterns (Doji, Engulfing, Hammer, Shooting Star) and volume divergence. Define structured output in JSON (signal type, strength, timeframe, and explanation). Refine prompt instructions for consistent and interpretable signal generation
Connect Memory Buffer for Session Continuity
~2–3 hoursAdd a memory buffer or state management layer to retain recent analysis context between runs. This allows comparison of new signals with past results and improves multi-interval reasoning. Test continuity with repeated executions
Test and Validate JSON Output Format and Error Handling
~3 hoursRun workflow end-to-end with sample data. Validate the structure of GPT’s JSON output for completeness and schema consistency. Add error handling for malformed data, missing fields, or API downtime scenarios
Integrate into Parent System or Workflow
~4–5 hoursConnect SignalKlines AI as a sub-agent or module in the parent system. Ensure compatibility with existing trading dashboards, alert systems, or analytics workflows. Run integration tests to verify communication, timing, and data handoff between components
Support Included
Documentation, example prompts, error handling templates







