Auto-Trader: Day (55%), Swing (25%), Trend (20%) Search for Dips in High-Volatility Stocks(TA&FA)

Day Trader: Targeting Dips in High Volatility Stocks (TA)

Overview and Suitability: This Day Trader is an automated trading solution designed to capitalize on high-volatility stocks by buying during market dips. Tailored for beginner traders, this bot offers a less frequent trading approach, averaging around 15 trades over a specified period. The primary strategy involves entering trades following a significant volatility spike, specifically when the market corrects or dips after an initial surge.

Key features include:

• Activation upon a volatility increase of 10% or more.
• Entry during market corrections, aiming to capitalize on reversals.
• A take profit level set at approximately 5%.
• Flexible trade openings throughout the trading day.
• Stop loss parameters ranging from 2% to 15%, adjusted based on market conditions.
• A win rate exceeding 70%.
• Exclusive focus on long positions.
• Drawdowns up to 25% with quick position recovery.

This Robot is ideal for beginner traders seeking a reliable, automated trading strategy that minimizes risks and maximizes profits through careful market analysis and strategic trade execution.

Swing Trader, Long Only: 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 order "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 the 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, and Goldman Sachs, and new fintech companies that create financial services of the future - SoFi, and Robinhood. Accordingly, financial stocks also have large differences in volatility, and 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.

Trend Trader: Multi-Strategy Alpha Focus (FA)

Overview and Suitability: The robot operates by thoroughly examining company fundamentals to detect those with an intrinsic value higher than their current stock price. It follows the "Value" investing method, focusing on finding undervalued stocks with considerable growth prospects. Signals from this robot can be used as hints for option traders. This system is ideal for Experts or Hedge funds aiming to apply a systematic and reliable approach to boost their trading success.

Strategic Features and Technical Basis:
Core Strategies: The robot integrates a multitude of analytical frameworks known as Rankings, each contributing to a comprehensive assessment of a company's financial health and growth prospects. The key Rankings utilized include:

• Piotroski Ranking: This Ranking assesses a company's financial health and future stock performance by amalgamating various financial criteria into a single score ranging from 0 to 9, with higher scores indicating superior financial strength.
• Debt Ranking: Focuses on identifying companies with strong creditworthiness, ensuring that they maintain manageable levels of debt.
• Gain Ranking: Targets companies exhibiting active and healthy growth, prioritizing those with robust performance metrics.
• NCAV Ranking: Aims to find stocks trading at substantial discounts to their intrinsic value. These stocks are often undervalued, and overlooked, and typically trade below their net tangible assets or liquidation value.
• Greenblatt Ranking: Evaluates a company's efficiency in generating profits from its capital, thus indicating overall quality and potential for superior returns.

These Rankings are employed to filter stocks that have already passed the initial fundamental screening, ensuring a thorough and multifaceted analysis.
 

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