Swing Trader Crypto: ALGO, IOST, LINK, QTUM, NEO (TA)

Position and Risk Management: This AI Robot is designed to discover mid-term trends and stay in a position until the trend is over. The idea is to find consolidation points of volatility that become points of entry. 
The trade ideas are then filtered by Stochastic, MA, Custom Volatility technical indicators, and other proprietary algorithms. As a result, trades move in the direction of the leading indices.
The Exit Points (Sell signals for long positions and the opposing signals for short positions) are based on long-term trend breaks. When the direction of the stock changes, this allows you to control risks and not limit profits.  

The robot's trading results are shown without using margin.  Every minute, AI Robot scans the crypto (5) listed in the field “Customized”. A user can adjust the cryptos selected and see changes in the expected number of trades per day and/or other statistics. 

Ideal for Traders: In the tab “Open Trades”, a user can see live how AI Robot selects equities, and enters and exits in paper trades.

In the tab, “Closed trades”, a user can review all previous trades made by AI Robot and analyze all statistics, such as maximum number of trades, sharper ratio, average winners and losers, etc.

Trading Dynamics and Specifications:

• Maximum Open Positions: Medium, allowing for diversified exposure while managing concentration risk.
• Robot Volatility: High, suited for navigating and capitalizing on market swings.
• Universe Diversification Score: Low, indicating a narrow array of instruments to hedge against sector-specific downturns and enhance profit opportunities.
• Profit to Dip Ratio (Profit/Drawdown): Medium, offering a balanced profit vs. drawdown scenario that makes it an ideal intermediates and experts.
• Optimal Market Condition High: If the current market volatility is High then you should use the Best Robots in High Volatility Market (VIX is High - this indicator is coming soon). 

Disclaimer: Disclaimers and Limitations

Simulated Performance: All simulated performance results are derived solely from real-time calculations using historical data. Algorithms receive minute-by-minute historical prices and other data from Morningstar and generate trades in real time based on these historical inputs, effectively eliminating any hindsight bias. 

Actual Performance: All actual performance results are derived solely from real-time calculations using current data. Algorithms receive minute-by-minute current prices and other data from Morningstar and generate trades in real time based on these current inputs, effectively eliminating any hindsight bias. 

Gross Performance: Gross performance results do not deduct any fees or expenses. These results reflect the total returns generated by the AI Robots without considering the costs associated with accessing the service. 

Net Performance (current performance chart): Net performance results deduct fees to provide a more accurate representation of returns experienced by the user. These deductions can include: Model Fee Deduction: Net performance results may deduct a model fee equivalent to the highest subscription fee charged to the intended audience. Actual Subscription Fees: Net performance results may also deduct the actual subscription fees paid by the user for access to AI Robots.