Analyze stocks via Telegram with GPT‑4, TwelveData, NewsAPI and chart images

AI-Powered Stock Analysis Agent is a Telegram-based AI workflow it transforms a simple stock name into a complete trading analysis report.

Users send a stock/company name through Telegram, and the workflow automatically:

Converts the company name into a stock symbol Fetches multi-timeframe market data Collects recent stock news Performs AI-powered sentiment analysis Generates a chart image Creates a professional BUY / SELL / HOLD report Sends the final analysis back to Telegram

Node-by-Node Explanation

1. Telegram Stock Request Trigger

What This Node Does

This is the entry point of the workflow.

It listens for incoming Telegram messages and starts the workflow automatically whenever a user sends a stock/company name.

Example

Apple Tesla Nvidia 2. Convert to Stock Symbol

What This Node Does

Uses OpenAI to convert a company name into a valid stock ticker symbol.

Example

| User Input | AI Output | |---|---| | Apple | AAPL | | Tesla | TSLA | | Microsoft | MSFT |

Why This Node Matters

Users do not need to know the exact stock ticker symbol.

The AI intelligently maps company names into valid trading symbols.

3. Fetch 4H Market Data

What This Node Does

Fetches 4-hour interval market data from the TwelveData API.

Data Returned

Open Price High Price Low Price Close Price Volume

Why This Node Matters

Helps analyze: Short-term momentum Intraday trends Swing trading opportunities

4. Fetch Daily Market Data

What This Node Does

Retrieves daily stock candle data from TwelveData.

Why This Node Matters

Daily candles help identify: Medium-term trends Support and resistance Trend direction Market strength

5. Fetch Weekly Market Data

What This Node Does

Fetches weekly timeframe stock data.

Why This Node Matters

Weekly charts help analyze: Long-term market structure Major breakouts Investor sentiment Macro trend direction

6. Merge Multi-Timeframe Data

What This Node Does

Combines: 4H chart data Daily chart data Weekly chart data

into one unified dataset.

7. Structure Technical Dataset

What This Node Does

Organizes all merged technical data into a clean structured object.

Why This Node Matters

Makes it easier for downstream AI nodes to process the technical dataset efficiently.

8. Fetch Stock News

What This Node Does

Fetches recent stock-related news using NewsAPI.

Data Collected

Headlines Article descriptions Sources Publication dates

9. News Sentiment Analyzer

What This Node Does

Uses OpenAI to evaluate how recent news may impact the stock price.

AI Analysis Includes

Bullish sentiment Bearish sentiment Neutral sentiment Confidence score Market rationale

10. Merge Technical and News Data

What This Node Does

Combines: Technical market data News sentiment analysis

into one AI-ready context.

Why This Node Matters

Allows the AI agent to analyze both technical and fundamental signals together.

11. Final AI Context Builder

What This Node Does

Structures all combined stock intelligence into a clean dataset.

Why This Node Matters

Prepares the final AI context before advanced trading analysis begins.

12. AI Stock Tracking

What This Node Does

Acts as the master AI trading analyst.

AI Responsibilities

Analyze technical data Analyze news sentiment Detect bullish/bearish setups Generate trading verdicts Suggest entry zones Calculate stop losses Generate target prices Calculate risk/reward ratio

Output Includes

BUY / SELL / HOLD verdict Confidence score Technical rationale Trade setup Risk analysis Chart link

13. Send Telegram Analysis Report

What This Node Does

Sends the final AI-generated stock analysis report back to the Telegram user.

Final Output Includes

Trading verdict Confidence score Entry zone Stop loss Target price Risk/reward ratio Chart link