Generate stock trade signals from live market data via Telegram

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Retail traders want actionable signals without staring at charts all day. This AI automation pulls live market data and news sentiment, runs it through Gemini, and pushes a plain-English recommendation straight to a Telegram chat.

What This Automation Does

Fetches live OHLC candlestick data for any stock ticker and identifies intraday price patterns in real time
Aggregates current news headlines related to the target stock and scores overall sentiment
Passes both market data and sentiment context to Google Gemini, which reasons through a Buy, Sell, or Hold recommendation with a plain-English rationale
Delivers the final recommendation and supporting summary directly to a Telegram bot so the trader receives it instantly without leaving their phone

Tools Used

Telegram
Google Gemini
n8n

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How To Build It

Connect live market data to the workflow

Authenticate TwelveData and configure the workflow to request OHLC candlestick data for any ticker symbol the trader specifies, so every analysis run starts from fresh intraday price history.

Pull and filter relevant news headlines

Wire up NewsAPI so the workflow fetches the most recent articles mentioning the target stock, then filter by recency and relevance to eliminate noise before passing content downstream.

Build the AI prompt with market and sentiment context

Combine the candlestick summary and the top news headlines into a structured prompt that instructs Google Gemini to reason about price momentum and sentiment together before committing to a directional recommendation.

Generate and parse the Gemini recommendation

Send the combined prompt to Google Gemini and extract the structured Buy, Sell, or Hold verdict along with the model's supporting rationale, ready for delivery without any manual interpretation.

Push the formatted alert to Telegram

Format the recommendation, ticker, confidence context, and key news driver into a clean Telegram message and deliver it to the trader's bot channel, triggered either on a schedule or by an on-demand command.

Pitfalls

TwelveData enforces strict per-minute and per-day rate limits on its free tier; if a client wants signals for multiple tickers simultaneously, requests will hit the cap and return empty data, silently breaking recommendations.
NewsAPI's free plan restricts results to articles published in the last 24 hours and blocks commercial use; delivering this to paying clients requires an upgraded paid plan, which is easy to overlook during testing.
Gemini prompt responses can vary in structure between calls, especially when market conditions produce ambiguous signals; without a strict output parser the workflow may forward a malformed or incomplete message to the Telegram bot.

FAQ

Can I build this without coding?

Yes. The entire workflow is configured through visual tools and API credential forms with no custom code required. You will need to read API documentation for TwelveData, NewsAPI, and Telegram BotFather to get your keys, but none of that involves writing code.

How long does it take?

Most builders complete a working version in 10 to 20 minutes once all API keys are in hand. Allow an extra hour if you are customising the prompt logic or adding multi-ticker support for a client with a larger portfolio.

What can I charge?

Positioning and pricing decisions are yours to make based on your market and the client relationship. Common structures for signal bots include a one-time setup fee plus a recurring maintenance retainer, since clients depend on the bot staying live and accurate.

Which tool is required vs optional?

TwelveData and Google Gemini are core to the logic and cannot be removed without rebuilding the workflow. Telegram is the default delivery channel but can be swapped for Slack or email if a client prefers a different interface.

This is original DigiNo analysis. The underlying automation pattern is a community workflow template – view the original on n8n.