Back to browse
CandlePulse – Natural language trading alerts powered by AI

CandlePulse – Natural language trading alerts powered by AI

by rijesh4·Mar 15, 2026·2 points·1 comment

AI Analysis

●●SolidShip ItBig Brain

Natural language to trading logic beats manual indicator configuration.

Strengths
  • Chart-drawn support/resistance lines convert directly to alert triggers.
  • Multi-symbol scanner runs natural language conditions across portfolios.
Weaknesses
  • Limited alpha with only 10-50 users; data resets expected during iteration.
  • TradingView and TrendSpider already offer sophisticated alert systems.
Category
Target Audience

Retail traders, crypto traders

Similar To

TradingView · TrendSpider · Coinrule

Post Description

Hi HN!

I've been building CandlePulse, a platform that lets traders create trading alerts using natural language instead of manually configuring indicators.

For example, a trader can write something like: “Alert me when BTC forms an indecision candle near support with high volume.” The system converts that description into an alert logic that runs against market data.

Some of the things the beta supports right now: • Natural language alerts – describe a trading condition and the system converts it into an alert rule. • Chart-based alerts – draw support/resistance lines on the chart and create alerts based on price interaction with those levels. • Market scanners – scan multiple symbols for a given alert condition. • AI chat assistant – ask questions about the chart or market data. • Email alerts – notifications are sent when the conditions are triggered.

The goal is to make it easier for traders to express ideas without needing to code strategies or manually configure complex indicators.

I’m currently opening up the beta and would love feedback from traders and developers here.

You can try the beta here: https://candlepulse.com

Happy to answer questions about the design, architecture, or roadmap.

Similar Projects

Run end-to-end browser tests using natural language

Natural language E2E tests sound good until you need debugging or maintenance.

Ship It
jimmypk
102mo ago