Automated hourly stock market insights delivered to Slack.
The AI agent collects market data hourly for a predefined watchlist and determines Buy, Hold, or Sell signals using RSI and MACD. It fetches daily stock bars, calculates indicators with a Python-based node, and categorizes each ticker. It uses OpenAI to generate a concise, Slack-ready narrative and delivers it to the designated Slack recipient.
Automates data collection, indicator calculations, and Slack-ready summaries.
Pulls hourly stock bars for the watchlist from Alpaca.
Calculates RSI and MACD using a Python code node.
Classifies signals as Buy, Hold, or Sell for each ticker.
Aggregates results into a structured summary for Slack.
Generates Slack-ready narrative using OpenAI.
Sends the update to a specific Slack user or channel.
Before: fragmented data, manual checks, and inconsistent indicators. After: automated hourly updates with Buy/Hold/Sell labels and Slack delivery.
A simple 3-step system that non-tech users can follow.
The AI agent uses Alpaca’s clock API to verify market hours and pulls daily bars for the tickers in the watchlist.
A Python code node calculates RSI and MACD from the retrieved data and assigns Buy/Hold/Sell labels per ticker.
OpenAI generates a concise Slack-ready summary which is posted to the designated Slack user or channel.
One realistic scenario.
At 7:30 AM PT on a Monday, the AI agent retrieves data for 8 tickers, computes RSI and MACD, labels Buy/Hold/Sell, generates a Slack-ready summary, and posts the update to the market-traders channel by 7:45 AM PT.
Roles that rely on timely market summaries.
Need concise, hourly insights to guide trades or allocations.
Want a consistent, data-driven signal feed to inform decisions.
Require a structured summary to complement in-depth research.
Benefit from standardized indicator outputs for quick hypothesis checks.
Need reliable updates that align with trading hours for workflows.
Manage recipients and ensure delivery of updates.
Tools that power data flow and messaging.
Checks market open status and fetches daily stock bars for tickers.
Computes RSI and MACD from price data for each ticker.
Delivers the final Slack-ready summary to a specific user or channel.
Generates concise natural-language summaries from calculated signals.
Orchestrates the hourly workflow, scheduling and error handling.
Practical scenarios showing concrete value.
Common questions and clear answers.
The AI agent relies on Alpaca for market data, including clock status and daily bars, and uses OpenAI to craft narrative summaries. It maintains an internal watchlist to drive scope. If a data source is unavailable, the agent logs the failure and retries on the next cycle. Updates will indicate any data gaps and retry status.
Yes. You can provide a watchlist of tickers and adjust it as needed. The agent reads the list at startup and periodically refreshes it. If a ticker cannot be fetched, it is skipped with a note in the summary. You can also add or remove tickers to reflect changes in your strategy.
The agent checks market status via Alpaca before each update. If the market is closed, it skips data pulls and summaries for that cycle. It can be configured to send a brief “market closed” notification when appropriate. Otherwise, updates resume when hours reopen.
Updates run hourly during scheduled market hours. The system respects market holidays and skips updates on non-trading days. Each update covers the current tickers, their RSI/MACD, and a short narrative. You can adjust the cadence if needed.
Yes. The Slack destination is configurable per deployment. You specify the user or channel at setup, and the agent posts updates to that target. Permissions and channel restrictions can be enforced. The agent also respects any mention or formatting preferences.
If a data fetch fails, the agent logs the error and attempts a retry on the next cycle. Persistent failures are surfaced in the Slack summary and in an error log for investigation. The retry behavior prevents silent data gaps in updates. You retain visibility into issues and recovery progress.
This agent performs data collection, indicator calculation, and narrative summarization. It does not execute trades. It is a decision-support tool intended to inform human intervention. Always review automated signals and follow your firm’s risk management policies.
Automated hourly stock market insights delivered to Slack.
