This model balances four separate risk lenses that seek to generate alpha while moderating standard deviation over multi-year periods. Each risk lens is independently applied based on Alpha Vee's breakthrough fundamental momentum research. Contact Alpha Vee for more information.

Maximize trading with Modena Wick Trader, offering total control, dynamic market adaptation and custom settings for optimal efficiency. Automation to the next level!

NJ2CS integrates NinjaTrader & Schwab for automated trading, real-time execution, and risk management. It supports multi-account trading, JSON-based order execution, live market data, and custom trade rules. Optimize trades, manage risk, and execute smarter with NJ2CS.

The BoxB MNTrader strategy is a fully automated trading system. Trading is based on the strategy of breaking through the box when forming a certain length and height. This system has several options for filtering: EMA, RSI, Stochastic, Arun Oscillator or Vortex.

The HolyGrail Algo uses calculations of the Hull Exponential Moving Average to identify market direction. A long or short condition is printed on the chart and the strategy executes the trade by going long or short. You can set defined take profit, stop loss and trail and time of day to trade.

O-Bot is designed to combine order flow analysis and multiple moving averages to make informed trading decisions. This bot is perfect for identifying market trends and optimizing entry and exit points completely automated and hands free.

This automated trading strategy is designed for the Russell 2000 futures market. The strategy is easy to use, making it suitable for both experienced traders and beginners. Find out more on www.russell2000strategy.com.

The TWC Semi-Auto Algo is a powerful trading algorithm that calculates the ratio between buyers and sellers with precision. Fast, reliable, and built to give traders a real edge, it helps identify the best moments to enter the market with confidence.

This is designed to identify when asset prices deviate significantly from their historical averages. It detects signals based on the assumption that prices will eventually revert to their mean. This is for traders looking for market inefficiencies to take advantage of with minimal intervention.

The algorithm works by continuously processing live data such as time & sales, volume, tape pace and tape acceleration. The algorithm performs real-time analyses, dynamically adapting to identify aggressive buyers and sellers actively influencing the market.