Algorithmic Trading Bootcamp: Build Your Live Trading Bots

Open a NinjaTrader account, select the demo option, download and install the software, and log in to access the web dashboard.

Explore the NinjaTrader interface, set up a simulation connection, view accounts and orders, apply charts with SMA and RSI, and use the NinjaScript editor and strategy analyzer for backtesting.

Discover how C# powers Ninja Trader through NinjaScript, enabling you to create indicators, strategies, and custom trading tools for desktop apps, web services, databases, and automation.

Write your first line of code in C# using an online compiler and console.write line from the main function. Learn to end lines with a semicolon and run the program.

Learn how variables act as data containers in NinjaTrader, covering int, double, string, and bool types with practical C# examples, printing results and updating values.

Update variables in NinjaTrader by accessing and changing them while preserving their original type, and avoid type errors when switching to a different data type.

Explore arrays as collections of similarly typed variables stored in a single container, learn zero-based indexing, creating and initializing arrays in C#, and enforcing type safety.

Master loops show how to automate tasks with for loops for fixed counts and while loops until conditions change, including iterating arrays and printing results.

Learn the fundamentals of the NinjaScript framework to prepare you to develop professional systems in NinjaTrader.

Open the Ninja Script Editor in the Ninja Trader framework to develop strategies, indicators, and other tools.

Learn the NinjaScript indexing system to access bar data via arrays of close, open, high, and low, and build a two-bar strategy using current and previous bars.

Learn to combine stop loss and take profit techniques in NinjaTrader strategies using EMA 200, RSI, and ATR to set dynamic, volatility-based exits for long and short trades.

Build a multi-asset strategy in ninja script by adding instruments (NQ, VIX, S&P 500) on a five-minute frame, using the edX data series function, then run in strategy analyzer.

Explore indicators, learn how to use them, and create custom indicators in NinjaTrader during session five.

Create a balance indicator in NinjaTrader using the NinjaScript editor, plotting a balance line from the period's max and min closes and applying it to the chart.

Develop the dominant movement indicator by comparing green and red candle ranges to signal overbought and oversold levels, using period and smooth period, two plots, and an exponential moving average.

blends volatility with moving averages to form a ma area indicator with upper and lower bounds driven by an ATR multiplier, identifying support, resistance, and reducing false signals.

Create the balanced lines indicator with two plots—the short yellow line and the long red line—to show short- and long-term balance and compute values as the max-min average.

Create a volatility-based trailing stop indicator that manages long and short trades using ATR or standard deviation, and test it within a futures strategy.

The Relative Price Location indicator compares price to the moving average to signal bullish or bearish states and mean reversion on a 0–100 scale, via green and red lines.

Explore the LinRegSlopeBounds indicator that signals extreme momentum when the linear regression slope crosses the upper or lower bound, with bounds based on moving averages and std dev.

Apply the balance line trend-following strategy to enter long positions when the balance line slope turns positive and exit on a negative slope, using daily bars and backtesting results.

Launch a fast ema strategy that triggers long entries when the green first ema crosses above the red long ema, with a trailing stop smooth exit and atr-based stop.

The ma area pullback strategy uses relative price location, ma area, and trailing stop smooth to trade pullbacks and continuation in longs and shorts.

Explore bollinger momentum strategy, medium-term, long-only swing method using adx, sma, bollinger bands, and trailing stop smooth. Enter long when adx above 25, price crosses upper bollinger band, sma rising.

Explore the quarterly close model, a long-term swing trading strategy that enters long when a quarter closes above previous and short when it closes below, with a two-unit ATR stop.

Demonstrate a simple long-only ema strategy using 32 and 256 emas, entering on a short crossing above the long and exiting on the reverse, backed by backtest results.

Learn the tenkan/kijun cross Ichimoku strategy for medium-term swings: enter long when price is above the cloud, future cloud is green, and momentum confirms.

Master the balance lines crossover: a long-only, long-term swing strategy using the short balance line above the long balance line to enter long and exit on cross.

Follow the dominant movement uses its indicator for trend signals in a long-only swing. Enter long when the smooth line crosses above 50 and exit when it crosses below 50.

Understand performance metrics from backtested results, including total net profit, maximum drawdown, profit factor, and risk-adjusted measures like the Sharpe, Sortino, and Mulcair index.

Apply Monte Carlo simulations to estimate capital requirements for a trading strategy, using average and maximum drawdown from backtests, and test on micro futures to stay alive in live trading.

Explore optimization methods to improve strategy performance and assess robustness through optimization results in NinjaTrader.

Use the classic optimization method to tune moving average crossover parameters for improved performance, exploring backtest optimization, parameter ranges, and fitness functions like profit factor and max r squared.

Learn how walk forward optimization prevents overfitting by separating in-sample optimization from out-of-sample testing, validating strategy robustness across changing market conditions.

Apply multi-objective optimization to optimize several fitness functions, such as maximum net profit, minimum drawdown, and r squared, by running multiple optimizers and evaluating parameter sets.

Learn genetic optimization, an advanced algorithm that mimics natural selection to optimize NinjaTrader trading strategies. Explore classic optimization, walk forward, and multi-objective setups; test large parameter spaces and see reductions.

Learn to set up an AWS account, launch a Windows Server EC2 micro instance, generate a key pair, connect via RDP, and run NinjaTrader strategies from a virtual machine.