Building an Automated Financial Dashboard by Integrating Apache Superset, Python, and TradingView API: Custom Indicator Visualization, Backtesting Integration, and Real-time Alert Configuration

Are you wasting time manually collecting and analyzing financial data? By combining Apache Superset, Python, and the TradingView API to build an automatically updating financial dashboard, you can visualize custom indicators, integrate backtesting results, and even set up real-time alerts to dramatically improve your investment decisions. Now, data-driven decision-making becomes easier and faster.

1. The Challenge / Context

Financial markets are constantly changing, and fast, accurate data analysis is essential for successful investing. Many individual investors and small businesses find it difficult to purchase expensive professional analysis tools, and they spend a lot of time relying on Excel spreadsheets or manually collecting and analyzing data. This can reduce efficiency and lead to missed important investment opportunities. Furthermore, many often struggle to effectively utilize the powerful chart analysis features provided by platforms like TradingView in combination with custom indicators.

2. Deep Dive: Apache Superset

Apache Superset is a modern data exploration and visualization platform. Through its web-based interface, users can connect to various data sources to create interactive dashboards, execute complex queries, and visualize data using a wide range of chart types. Superset offers an intuitive user interface and supports various databases based on Python SQL Alchemy. Key features include:

  • Data Source Connectivity: Supports various databases such as PostgreSQL, MySQL, Snowflake, Google BigQuery, and more.
  • Interactive Visualization: Provides various chart types (line graphs, bar charts, pie charts, maps, etc.) and allows for detailed data analysis through drill-down capabilities.
  • SQL Editor: Allows users to write and execute SQL queries directly to extract and transform data.
  • Dashboard Sharing: Enables sharing dashboards with other users and managing access permissions.

3. Step-by-Step Guide / Implementation

The following is a step-by-step guide to building an automated financial dashboard by integrating Apache Superset, Python, and the TradingView API.

Step 1: Obtain TradingView API Key

To use the API provided by TradingView, an API key is required. Several third-party API libraries can be used. TradingView's own API may require a paid subscription, so you might consider using other freely available APIs (e.g., `tradingview_ta`). This library is not an official API but provides data by crawling TradingView.

# tradingview_ta 라이브러리 설치
pip install tradingview_ta

Step 2: Data Collection and Processing using Python

Use a Python script to collect data from TradingView and calculate the necessary indicators. For example, the code to calculate the RSI (Relative Strength Index) indicator is as follows.