Overview: BUY LONG: Walmart Inc. (WMT) is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores in the United States and 23 other countries.
The iShares S&P 500 Growth ETF (IVW) is an exchange-traded fund (ETF) that tracks the S&P 500 Growth Index. The index is made up of large-cap US companies that are expected to grow faster than the market. This robot is designed for trading the IVW ticker using machine learning to analyze various patterns. Its focus on technical analysis and Financial Learning Models (FLMs) ensures that even beginners can navigate high-liquidity stocks with confidence. The robot’s strategy is well-suited for identifying and trading within 30-minute, hourly, and 4-hour timeframes, providing an approachable introduction to stock trading while minimizing risk.
COST, Costco Wholesale Corporation, is a major retail warehouse club chain.
XOM, Exxon Mobil Corporation, is a multinational energy company involved in the exploration, development, and distribution of oil, natural gas, and petroleum products, making it one of the world's largest integrated energy companies.
BUY LONG AS A HEDGE: SZK - ProShares UltraShort Consumer Staples ETF, which means it is an exchange-traded fund designed to provide investors with daily returns that are inversely correlated (meaning opposite) to the performance of the S&P Consumer Staples Select Sector Index.
DAG, the Invesco DB Agriculture Fund, is an exchange-traded note (ETN) that provides 2x leveraged exposure to the DBIQ Diversified Agriculture Index, which tracks the performance of agricultural commodities
Suitability: This robot agent specializes in analyzing and trading WMT, IVW, COST, and XOM. Designed with beginners in mind, it simplifies the complexities of stock trading. By employing a blend of intraday and daily timeframes, it offers a structured yet accessible trading solution.
Strategic Features and Technical Basis
The robot leverages Tickeron’s Financial Learning Models (FLMs), which integrate technical analysis with machine learning to manage market volatility effectively. FLMs analyze large volumes of financial data, equipping traders with insights to identify patterns and make informed decisions.
Core Features:
Position and Risk Management
The robot allows a maximum of 5–10 open trades, balancing opportunity and risk exposure. The pattern recognition approach, combined with daily filters, ensures reliable entries and controlled exits, reducing unnecessary risks.
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