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How to Build an AI Portfolio Tracker

Step-by-step guide to creating your own portfolio tracking application using BullishAI's API and AI insights.

AI Portfolio Tracker

Introduction

Building an AI-powered portfolio tracker allows you to monitor your investments in real-time with intelligent insights. This guide will walk you through creating a complete portfolio tracking application using BullishAI's API.

You'll learn how to integrate real-time stock data, implement AI-powered analysis, set up automated alerts, and create an intuitive dashboard for tracking your portfolio performance.

Prerequisites

  • Basic knowledge of JavaScript/TypeScript
  • Familiarity with React or Next.js
  • BullishAI API access (free tier available)
  • Node.js and npm installed

Step 1: Set Up Your Project

Start by creating a new Next.js project and installing the necessary dependencies. Set up your API client to connect to BullishAI's endpoints for real-time market data.

Configure environment variables for your API keys and set up authentication to securely access your portfolio data.

Step 2: Integrate Real-Time Data

Use BullishAI's quote and chart APIs to fetch live stock prices and historical data. Implement polling mechanisms to keep your portfolio values updated in real-time during market hours.

Handle market sessions (pre-market, regular hours, after-hours) to provide accurate data availability indicators to your users.

Step 3: Add AI-Powered Insights

Integrate BullishAI's AI chat endpoint to provide intelligent explanations of market movements, portfolio analysis, and investment recommendations.

Display AI-generated insights alongside your portfolio data to help users understand their investment performance and make informed decisions.

Step 4: Implement Alerts

Set up price alerts using BullishAI's alert system. Allow users to create custom alerts for price thresholds, percentage changes, and other market conditions.

Configure webhook endpoints to receive real-time notifications when alert conditions are met, keeping users informed about important market movements.