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All course details below:
R Course with Technical Analysis
R Course with Technical Analysis
| Module 1 | Technical Analysis in R |
|---|---|
| Technical Analysis in R | |
| Unit 1 | 30 day moving average function with all course source code |
| Unit 2 | 2 sided moving average for mean rolling window |
| Unit 3 | R Code Walkthrough Improved Moving Average using intra day for Forex data |
| Unit 4 | The improved moving average |
| Unit 5 | R Code Wakthrough Simple Moving Averag Strategy with Volatility Filter |
| Unit 6 | Love level Improved Moving Average functions with testing code |
| Unit 7 | R source code for trading script with update portfolio, position size, MA, cross over, SMA, optimize parameters pt 2 |
| Unit 8 | R source code for trading script including MACD, Omega performance, RSI, and Bollinger Band measuring strategy and portfolio performance with plots Pt 3 |
R Course with Quant including GARCH
R Course with Quant including GARCH
| Module 1 | Quant trading in R |
|---|---|
| Quant trading in R | |
| Unit 1 | Walthrough Parallel R Model Prediction Building and Analytics |
| Unit 2 | Intro to GARCH forecasting with various R packages |
| Unit 3 | How to use GARCH for predict market movements |
| Unit 4 | How to use GARCH to predict distributions |
| Unit 5 | GARCH trading R script walkthrough with a rolling window |
R Course with Quant
R Course with Quant
| Module 1 | Intro |
|---|---|
| Intro | |
| Unit 2 | An ARMA model R code walkthrough |
| Unit 3 | Checklist of forecasting with ARIMA: is time series stationary, differentiate, ARIMA(p,d,q), and which AMRA model to use? |
| Unit 4 | R code walkthrough: Detrend to use Auto ARIMA modelling and forecast with statistical data and Ljung BoxTest |
| Unit 5 | My first version of ARIMA R script with Forex data and Equity 1 and 5 min frequency |
| Unit 6 | Bayesian analysis to Compare algorithms with Gibbs |
| Unit 7 | Markov Chain R source code walkthrough |
| Unit 8 | Monte Carlo R Walkthrough Demo |
| Unit 9 | An alternative to running a Monte Carlo simulation |
| Unit 10 | R code walkthrough Mean Absolute Deviation with Efficiency Frontiers Demo |
R Course with Mean Reversion and Pair Trading
R Course with Mean Reversion and Pair Trading
| Module 1 | Mean Reversion in R |
|---|---|
| Mean Reversion in R | |
| Unit 1 | Backtesting a Strategy with Mean Reversion |
| Unit 2 | Mean Reversion Euler with Ornstein Uhlenbeck process |
| Unit 3 | Pairs trading R source code walkthrough with mean reverting logic, spread and beta calculation |
| Module 2 | Pair Trading in R |
| Pair Trading in R | |
| Unit 1 | Poor mans Pair Trading with Cointegration R Walkthrough |
| Unit 2 | Pair trading with S&P 500 companies |
| Unit 3 | Pairs trading with testing cointegration |
| Unit 4 | Seasonal pair trading |
| Unit 5 | Test for stationary in time series with null hypothesis test and p-value using Augmented Dickey Fuller |
| Unit 6 | Pairs Trading R Code Walkthrough |
| Unit 7 | Pairs trading with a Hedge Ratio Demo |
| Unit 8 | R Code Walkthrough Back testing with trading pair with CAPM |
| Unit 9 | Gold versus Fear in Cointegration test |
R Course with Arbitrage and Volatility
Arbitrage and Volatility
| Module 1 | Arbitrage in R |
|---|---|
| Arbitrage in R | |
| Unit 1 | Beating a random walk with arbitrage |
| Unit 2 | Beating a random walk with arbitrage |
| Unit 3 | Time Based Arbitrage Opportunities in Tick Data: Why low latency is needed in HFT? |
| Unit 4 | Building a currency graph with arbitrage |
| Unit 5 | Arbitrage: Modelling returns with CAPM APT aka Abritrage Pricing Theory |
| Unit 6 | Indian equity market index NIFTY anaysis with CAPM vs APT aribitrage pricing theory using PCA and moment analysis |
| Module 2 | Volatility in R |
| Volatility in R | |
| Unit 1 | R Code Walkthrough Adding a volatility filter with VIX |
| Unit 2 | R Code Wakthrough Simple Moving Averag Strategy with Volatility Filter |
| Unit 3 | Mean Reverting with Volatility Spike |
| Unit 4 | Trading with GARCH volatility R script walkthrough demo |
| Unit 5 | Jeff Augen volatility spike code |