Swing Trader, Long Only ($3.1K per position): MACD & RSI Strategy for Financial Stocks (TA)

Overview and Suitability: This AI Robot is for traders who prefer to open long only positions and trade stocks of companies from the financial sector using the signals of the well-known technical indicators MACD and RSI. The maximum number of open positions does not exceed 20-30, and the average trade duration is 6 days. After entering the trade, the robot places a fixed orders "Take profit" and "Stop Loss" at the level of 4% of the position opening price. All this makes following the signals of this robot simple and affordable even for beginner traders.

The robot comes with a basic risk management strategy, which has been developed for a trading balance of $100,000 and a position size of $3100 per trade. However, traders have the flexibility to adjust their trading balance as per their requirements, and as a result, the position size will change proportionally. For instance, if the trading balance is adjusted to $50,000, the position size will automatically adjust to $1550.

Moving average convergence/divergence (MACD) is a trend-following momentum indicator that shows the relationship between two exponential moving averages (EMAs) of a security’s price. This indicator was created in the 1970s and gained wide popularity among traders due to its simple rules of use and good performance.

The relative strength index (RSI) is a widely used technical analysis tool that helps traders evaluate the momentum of a security's price changes. By measuring the magnitude and speed of recent price changes, RSI can identify potential overbought or oversold conditions in the security's price.

Using a unique system of multi-level backtests and a proprietary method for analyzing volatility and price dynamics of stocks, our team of quants created an effective strategy for using these indicators.

About sector: The financial sector consists of a wide range of industries, including banks (major and regional), investment companies, different types of insurance companies (Life, Property, Specialty Insurance) etc. Among the well-known companies in this sector, there are both companies with a long history that provide traditional types of financial services, such as Bank of America, Goldman Sachs, and new fintech companies that create financial services of the future - SoFi, Robinhood. Accordingly, financial stocks also have large differences in volatility, price dynamics, which requires the use of reliable algorithms for trading them. Every day, our mathematical power analyzes all major stocks of companies from this sector and looks for MACD and RSI signals that have additional confirmation from our unique price dynamics evaluation system.

Ideal for Traders: The robot's trading results are shown without using a margin. For a full trading statistics and equity chart, click on the "show more" button on the robot page. In the tab “Open Trades”, a user can see live how the AI Robot selects equities, enters, and exits in paper trades. In the tab “Closed trades”, a user can review all previous trades made 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: 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 Medium: If the current market volatility is Medium then you should use the Best Robots in Medium Volatility Market (VIX is Medium - 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.