Overview and Suitability: This robot is a specialized AI-driven trading robot designed for beginners focusing on Ethereum (ETHFI.X) patterns. It simplifies trading by identifying and executing trades based on specific candlestick patterns, making it an excellent entry point for those new to technical analysis.
Strategic Features and Technical Basis
The robot leverages Tickeron’s Financial Learning Models (FLMs) to enhance pattern recognition and decision-making. These models use machine learning to analyze large datasets, improving accuracy and helping traders respond effectively to market volatility.
Trades are filtered using daily timeframes for exit signals, balancing intraday patterns with broader trends. The algorithm can manage a maximum of 5 to 10 open trades, optimizing for risk and reward.
Position and Risk Management
The robot uses advanced algorithms to manage positions, employing daily timeframe filters to identify optimal exit points. This ensures disciplined risk management, making it accessible and safer for beginners. By focusing on technical patterns and leveraging FLMs, the robot minimizes risk and maximizes potential gains in high-liquidity markets.
Trading Dynamics and Specifications:
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.
This Robot is recommended to be used when the markets are growing in general. The core algorithm makes only long The core algorithm makes only long