Trend Trader for Beginners: Strategy for Large Cap Stocks (TA)

Overview: This robot is specially designed for novice traders interested in trading large cap stocks using trend recognition algorithms. Stocks such as AAPL, TSLA, MSFT, AMZN have high liquidity, low spreads and moderate volatility, which makes them an ideal option for beginners in the trading arena.

Every day, advanced mathematical algorithms using trend-recognition technologies systematically scan large cap stocks to identify trading signals. The robot simultaneously analyzes different types of trends, including short-term, medium-term and long-term. If the majority of trends coincide in a certain direction, the robot selects the highest quality signals corresponding to the dominant trend and initiates trades. This approach allows the robot to maximize profits from stable directional market movements without being influenced by short-term corrections.

Strategic Features and Technical Basis: The robot simultaneously opens no more than 15 trades, using only the strongest signals, which makes it possible to get maximum profit from the trend and at the same time not spend a lot of time on controlling trades.

Upon initiating a trade, the robot implements a trailing stop based on a sophisticated combination of technical indicators optimized through machine learning algorithms. Additionally, a fixed "Take Profit" order is placed at two percent of the position's opening price. This strategic combination empowers our users to effectively secure profits and steer clear of prolonged periods of drawdowns.

All orders placed by the robot are conveniently accessible on the "Pending Orders" tab. Here, users can access crucial information, including the number of shares in the order, the order placement time, the order type (limit, market, or stop market), and the limit price level. This unique tool enables our users to anticipate all future actions of the robot and effectively utilize its signals for both monitoring and real trading.

Ideal for Traders: The trading results of the robot are displayed without the use of margin. For comprehensive trading statistics and an equity chart, click on the "Show All Stats" button on the robot page. In the "Open Trades" tab, users can observe in real-time how the AI Robot selects equities, enters, and exits in paper trades. In the "Closed Trades" tab, users can review all previous trades executed by the AI Robot.

Trading Dynamics and Specifications:

• Maximum Open Positions: Low, maintaining focused and strategic trading rather than volume, which is suitable for managing high volatility with precision.
• Robot Volatility: Medium, offering a balanced approach between capturing significant market movements and mitigating sharp declines.
• Universe Diversification Score: Medium High, indicating a moderate 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.

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: 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.