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Example project · Python · Analysis

Market Data Dashboard

Fetch historical market data for an NSE stock and present it in an interactive chart with volume, moving averages and Bollinger Bands.

In the course curriculum

Project facts

Difficulty
Intermediate
Technology
Python, Pandas, Plotly
Category
Python, Analysis
Status
In the course curriculum

Project summary

Fetch historical market data for an NSE stock and present it in an interactive chart with volume, moving averages and Bollinger Bands.

Problem
Market data is scattered and hard to read quickly.
Approach
Fetch historical data, clean it with Pandas and present it in an interactive dashboard.

Skills developed

  • Python
  • Pandas
  • Data visualisation

Technology

  • Python
  • Pandas
  • Plotly

Prerequisites

  • Python basics: variables, functions and lists
  • Module 1 of the Algorithmic Trading with Python course
  • Python 3 with Pandas and Plotly installed

Deliverable

A working Python script and an interactive chart dashboard.

Project workflow

  1. Stage 1: Fetch the data

    Download historical daily data for one NSE stock from a free data source.

  2. Stage 2: Clean the data

    Handle missing values, set the date index and check the columns with Pandas.

  3. Stage 3: Add indicators

    Calculate moving averages and Bollinger Bands from the closing prices.

  4. Stage 4: Build the chart

    Plot price, volume and indicators in an interactive Plotly chart.

  5. Stage 5: Document

    Explain the data source, its limitations and how to rerun the script.

AlphaSync practice

No AlphaSync capability is linked to this project yet.

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