Slack Notification Node

The Slack Notification node sends messages to Slack channels, DMs, or threads directly from your workflow. Use it to deliver trading alerts, portfolio summaries, or any real-time notification to your team's Slack workspace.

Configuration

Setup

You need a Slack app with a bot token to use this node. Follow these steps:

1. Create a Slack App

1. Go to https://api.slack.com/apps ↗ and click Create New App.
2. Choose From scratch.
3. Give it a name (e.g., "NickAI Trading Bot") and select the workspace you want to send messages to.
4. Click Create App.

2. Add Bot Permissions

1. In the left sidebar, click OAuth & Permissions.
2. Scroll down to Scopes and find the Bot Token Scopes section.
3. Click Add an OAuth Scope and add these scopes:
   • chat:write — required. Lets the bot send messages.
   • chat:write.customize — optional. Lets the bot override its username and icon per message.
   • channels:join — optional. Lets the bot auto-join public channels it's not a member of.

3. Install to Workspace

1. Scroll back up to the top of the OAuth & Permissions page.
2. Click Install to Workspace (or Reinstall to Workspace if you added scopes after the first install).
3. Review the permissions and click Allow.
4. Copy the Bot User OAuth Token — it starts with xoxb-.

4. Add the Token to NickAI

1. In NickAI, open the Slack Notification node's properties panel.
2. Under Bot Token Credential, click Create new.
3. Paste the xoxb-... token and save.

5. Invite the Bot to Your Channel

The bot can only post to channels it has been added to. In Slack:

1. Open the channel where you want alerts (e.g., #trading-signals).
2. Type /invite @YourBotName or click the channel name, go to Integrations, and add the bot.

Template Interpolation

Use curly braces to inject live data from upstream nodes into the channel, message text, or Block Kit JSON.

Example: Trading Alert Message

:rotating_light: *Trading Signal*

*Symbol:* {price_data.data.prices[0].symbol}
*Price:* ${price_data.data.prices[0].current}
*24h Change:* {price_data.data.prices[0].changePercent24h}%
*RSI:* {price_data.data.prices[0].indicators.rsi}

*Recommendation:* {llm.output}

Example: Block Kit with Dynamic Data

[
  {
    "type": "header",
    "text": { "type": "plain_text", "text": "Trading Alert" }
  },
  {
    "type": "section",
    "fields": [
      { "type": "mrkdwn", "text": "*Symbol:*\n{price_data.data.prices[0].symbol}" },
      { "type": "mrkdwn", "text": "*Price:*\n${price_data.data.prices[0].current}" },
      { "type": "mrkdwn", "text": "*RSI:*\n{price_data.data.prices[0].indicators.rsi}" },
      { "type": "mrkdwn", "text": "*Signal:*\n{llm.output}" }
    ]
  },
  { "type": "divider" }
]

Workflow Example

A common pattern: fetch price data, analyze it with an LLM, check if there's a signal, and send a Slack alert.

In this workflow:

1. Price Data fetches the latest BTC market data and indicators.
2. LLM analyzes the data and outputs a trading recommendation.
3. Conditional checks if the LLM recommended a buy.
4. Slack Notification sends the alert to #trading-signals only when the condition is true.

Output

Troubleshooting

Next Steps

• Conditional Node — Route alerts based on signal strength or confidence levels.
• LLM Node — Generate analysis summaries to include in your Slack messages.
• Email Notification Node — Send email alerts alongside Slack notifications.
• Discord Notification Node — Send the same alerts to Discord.
• Credentials — Manage your Slack bot tokens.