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Time Series Analysis

ritvikmath's original playlist organized into a recommended viewing order:

Introduction and Fundamentals

  1. Why Are Time Series Special? : Time Series Talk
  2. Time Series Talk : Stationarity
  3. Unit Roots : Time Series Talk
  4. Time Series Talk : White Noise
  5. Cleaning Time Series Data : Time Series Talk

Core Concepts

  1. Time Series Talk : Autocorrelation and Partial Autocorrelation
  2. ACF & PACF Code Example : Time Series Talk
  3. Time Series Talk : Lag Operator
  4. Augmented Dickey Fuller Test + Code

Models

Autoregressive (AR) Models

  1. Time Series Talk : Autoregressive Model
  2. AR Model Code Example : Time Series Talk

Moving Average (MA) Models

  1. Time Series Talk : Moving Average Model
  2. MA Model Code Example : Time Series Talk
  3. Time Series Talk : Moving Average and ACF
  4. Invertibility of Time Series : Time Series Talk
  5. Invertibility II : Time Series Talk

ARMA Models

  1. Time Series Talk : ARMA Model
  2. Coding ARMA Model : Time Series Talk

ARIMA Models

  1. Time Series Talk : ARIMA Model

Seasonal ARIMA (SARIMA) Models

  1. Time Series Talk : What is Seasonality ?
  2. Time Series Talk : Seasonal ARIMA Model
  3. Coding the SARIMA Model : Time Series Talk

ARCH and GARCH Models

  1. Time Series Talk : ARCH Model
  2. GARCH Model : Time Series Talk
  3. Coding the GARCH Model : Time Series Talk

Vector Auto Regression (VAR) Models

  1. Vector Auto Regression : Time Series Talk
  2. VAR Model in Python : Time Series Talk

Advanced Topics and Applications

  1. Evaluating Time Series Models : Time Series Talk
  2. Granger Causality : Time Series Talk
  3. Granger Causality in Python : Data Science Code
  4. Full Time Series Example : Time Series Talk
  5. Time Series Model Selection (AIC & BIC) : Time Series Talk
  6. Anomaly Detection : Time Series Talk
  7. Robust Anomaly Detection + Seasonal-Trend Decomposition : Time Series Talk
  8. Bayesian Time Series : Time Series Talk
  9. The Yule Walker Equations : Time Series Talk

Stock Market Applications

  1. How To Get Stock Price Data with Python : Time Series Talk
  2. Stock Forecasting with GARCH : Stock Trading Basics
  3. Basics of Stock Trading : Stock Trading Principles
  4. Candlestick Patterns : Stock Trading Basics
  5. Intermediate Candlestick Patterns : Stock Trading Basics
  6. Predicting Stock Prices and Making $$$ Using the ARMA Model
  7. I Day Traded $500 of Stocks using the ARMA Model
  8. I Day Traded $500 of Stocks using ARMA .. This is What Happened
  9. I Day Traded $1000 of Stocks using the LSTM Model
  10. I Beat the Market Using LSTM to Trade $1000 of Stocks ... kind of

Related Concepts

  1. Low Pass Filters & High Pass Filters : Data Science Concepts
  2. Recurrent Neural Networks : Data Science Concepts
  3. LSTM Networks: Explained Step by Step!
  4. Backtesting : Time Series Talk

Potentially Less Relevant/Specific

  1. How I Pick Stocks.
  2. I Bought $500 of Stocks Using Graph Theory and the Sharpe Ratio
  3. I Bought $500 of Stocks using Data Science. This is What Happened.
  4. I Made More Money Watching Love is Blind than with Data Science
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