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CodeSignal

Technical Indicators in Financial Analysis with Pandas

via CodeSignal

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Overview

In this course, you will delve into the construction and application of technical indicators commonly used in financial analysis. Working with the Tesla stock dataset, you will apply moving averages and exponential moving averages, and understand how these indicators can be used to make informed trading decisions.

Syllabus

  • Lesson 1: Calculating Simple Moving Average (SMA) for Tesla Stock Using Pandas
    • Adjust the Simple Moving Average Window Size
    • Fix the Code to Visualize Stock Prices and SMA
    • Calculate and Visualize 20-day SMA for TSLA
    • Add Missing Analysis for Tesla Stock SMA
    • Calculating and Visualizing the 20-day Simple Moving Average for $TSLA
  • Lesson 2: Calculating Exponential Moving Average (EMA) for Tesla Stock Using Pandas
    • Calculate 15-day EMA for Tesla Stock
    • Identifying and Fixing an Issue in EMA Calculation
    • Calculate 200-day EMA for Tesla Stock
    • Calculate and Visualize EMAs for Tesla Stock
    • Calculate and Visualize the 20-day EMA for Tesla Stock
  • Lesson 3: Comparing SMA and EMA with Tesla Stock Data
    • Identify and Correct the Issue
    • Complete the Code for SMA and EMA Calculation
    • Fill in the Moving Averages
    • Comparing SMA and EMA for Tesla Stock
  • Lesson 4: Applying Technical Indicators to Identify Trends
    • Plot Tesla Trends for 2020
    • Analyzing Tesla Stock Trend Signals
    • Calculate Moving Averages and Identify Crossover Signals
    • Calculate SMAs and Identify Crossover Points
    • Calculate EMA and Identify Trend Crosses for Tesla's Volume
  • Lesson 5: Volume Weighted Average Price (VWAP): Calculation and Visualization Using Pandas
    • Filter Data for the First Half of 2018
    • Debug and Fix the VWAP Calculation
    • Calculate and Visualize VWAP for Tesla Stock
    • Calculate and Visualize VWAP for Tesla

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