Auto-Trader: Day (70%), Trend (15%), Swing (15%) Multi-Strategy Dip Searcher (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.

Strategic Features and Technical Basis

High Volatility

This robot is engineered to exploit high-volatility conditions, activating trades only when there is a significant market movement. This ensures that the bot operates under optimal conditions, increasing the likelihood of successful trades.

Buy on Dip

The bot enters trades during market dips, effectively timing entries when the market experiences a temporary decline. This strategy leverages market corrections, allowing traders to buy at lower prices and profit from subsequent recoveries.

Swing Trader: Tracking Dip Trends in Industrial Stocks (TA)

Overview and Suitability: The AI Robot, known as the "Dip Searcher," is a meticulously designed tool crafted for traders of all experience levels, aiming to engage with the most significant and influential companies within the S&P 500. By concentrating on the top 10 companies by market capitalization, this robot provides a robust trading strategy that leverages the stability and market-moving potential of these industry leaders. Imagine navigating a ship through the most reliable currents; this robot ensures a smoother journey in the financial waters by operating through the Alpaca brokerage platform. It represents a strategy less volatile than the broader market, making it ideal for those seeking exposure to large-cap stocks with a long-only trading approach.

Strategic Features and Technical Basis: The AI Robot, aptly named "Dip Searcher," identifies optimal trading opportunities during significant market pullbacks. Think of it as a seasoned fisherman casting nets only when the tide is just right. The robot is programmed to execute trades several minutes before market close, leveraging the mean-reversal nature of the stock market to optimize entry points. This strategy ensures trades are initiated only after a market dip followed by a recovery indication, maximizing the likelihood of capturing effective upswings.

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, 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.

In-Depth Ranking Analyses:

NCAV Ranking:

• Deep Value Investing: Focuses on identifying stocks trading significantly below their intrinsic value, often overlooked and underpriced.
• Market Inefficiencies: Exploits inefficiencies caused by temporary issues, investor pessimism, or neglect.
• Quantitative Analysis: Utilizes rigorous quantitative metrics like price-to-book ratio and net current asset value (NCAV) to assess a company's true value.
• Margin of Safety: Emphasizes buying stocks at a steep discount to mitigate the risk of permanent capital loss.
• Short-Term Gains: Targets short-term gains by selling stocks once their price reflects intrinsic value.
• Risk and Reward: Balances the potential for high returns with the inherent risks associated with undervalued companies.

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