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Standard NinjaTrader functionality requires at least eight clicks to "Attach to Indicator". With Quick Trade Ninja, you can automatically move your orders based on any indicator you choose - all with a single click. Auto-trailing stop-loss.

PVExtraRegression Indicator & Strategy is a regression channel taken to the next level, calculated using higher order polynomials. Use PVExtraRegression as a discretionary indicator or automated strategy!

Explore the advanced order flow indicator, Cluster Constructor, featuring 16+ filters for deep market analysis (footprint charts). Ideal for unveiling smart money and institutional trends, enhancing order flow trading strategies. Delve into sophisticated insights – start now!

YMI University is designed to pack the utmost essential content into one trading course. It's designed to give you a new level of understanding of how the stock market works, how to get started, and how you can utilize your abilities to excel and grow.

Are you busy but want to be consistent in the market? Do you want a strategy with fixed rules? Here, you get an automatic robot including an indicator and complete strategy, plus access to an internal Discord channel. Get started with a one-week free trial today over zoom, no installation needed!

AMNTrader is a fully automated trading system. Trading is based on classical technical analysis with filtering such as volume, set of indicators and patterns. It is suitable for all futures and Forex trading instruments.

Reversal Bars is an indicator showing you when & where it will plot a reversal bar from as many as five times frames on a single chart.

This indicator plots signals, targets, and stops based on support and resistance from various moving average types. The trend is established based on a minimum number of bars above or below the moving average. The signal is initiated on the first touch of the moving average.

This is a NinjaTrader 8 Machine Learning Code for developers. Code is opensource and machine learning is done by the Naïve Bayes algorithm. Learning is based on trendlines, price change, volume and stochastics. Any input/data can be added to the learning process.