FAS, LABU, SOXL / FAZ, LABD, SOXS - Trading Results AI Trading Agent (6 Tickers), 60min
Description:
Overview: The AI Trading Agent is engineered to trade a selected group of 6 highly volatile, 3x leveraged ETFs, which represent both bullish and bearish outlooks on key U.S. sectors. The tickers include:
BUY LONG: FAS, LABU, SOXL
BUY LONG AS A HEDGE: FAZ, LABD, SOXS
This bot is optimized for 60-minute intervals, using machine learning to identify and react to market momentum with remarkable speed and precision. It trades long-only positions, including those in inverse ETFs that profit from declining markets.
Suitability: This AI-powered agnet is suitable for intermediate to advanced traders looking to exploit rapid market movements while minimizing downside risk. It is particularly effective in high-volatility environments, making it ideal for traders who are comfortable with aggressive strategies but still seek structured, algorithmic risk management.
This trading agent is not recommended for passive investors or those who prefer long holding periods. Instead, it’s built for those who want high-frequency exposure to explosive market trends without the emotional drag of manual trading.
60-Minute ML Overview: Tickeron’s Financial Learning Models (FLMs) represent a comprehensive integration of artificial intelligence and machine learning into the fabric of financial market analysis. These models go beyond basic charting tools by combining advanced technical indicators with predictive analytics, allowing traders to anticipate potential price movements with enhanced accuracy. An in-depth session would cover the architecture of these models, the data sources feeding into them, and the continuous learning cycles that improve their accuracy over time.
Strategic Features and Technical Basis: Instrument Design Trades only 3x leveraged ETFs, which offer amplified exposure to daily index moves. These instruments are inherently volatile and offer higher risk/reward profiles.
AI & ML-Driven Execution The bot is built on Tickeron’s Financial Learning Models (FLMs) — advanced algorithms that blend machine learning with technical analysis. FLMs interpret real-time data to identify bullish and bearish setups, then execute entries with precise timing.
60-Minute Analysis Window Every 60 minutes, the system reevaluates market signals, enabling a dynamic response to intraday momentum shifts.
Real-Time Pattern Recognition FLMs spot technical chart patterns and volatility surges, triggering entries across up to 40 simultaneous positions when strong signals are detected.
Position and Risk Management Tight Trailing Stops (~3%) Given the high leverage of the ETFs used, each position employs a small trailing stop to cap losses early while allowing profitable trades to run.
Scalability & Signal Strength The bot may open multiple entries in the same ETF if momentum continues — a clear indication of strong directional bias. This dynamic scaling increases profit potential during major market moves.
Capital Allocation Advice Although the bot can manage up to 40 active trades, it is not advisable to allocate 100% of the capital. Prudent diversification and capital preservation remain key.
Performance Expectation The average profit per trade is ~5%, and while some stop-outs are expected, a single breakout trade often compensates for prior losses.
The AI 3x ETF Trading Bot delivers an aggressive, AI-controlled trading strategy built to capture sharp market movements while keeping risks in check through disciplined stop management. Ideal for active traders, this bot capitalizes on short-term market volatility, backed by Tickeron’s cutting-edge FLMs.
With its 60-minute update cycle, this intelligent agent ensures you remain tactically aligned with real-time market trends, without the emotional fatigue of constant monitoring. Whether the market soars or tumbles, this bot is equipped to seize the opportunity.
Trading Dynamics and Specifications:
- Maximum Open Positions: Medium, allowing for diversified exposure while managing concentration risk.
- Robot Volatility: Low, attributed to the strategic entry after minor pullbacks and careful position management..
- 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): High, suitable for traders who are focusing either on high profit or low drawdown for potentially higher returns, which makes it ideal for all levels.
- Optimal Market Condition High: If the current market volatility is High, then you should use the Best Robots in High Volatility Market (VIX is High - 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 Robot
Actual Performance (166 days)
Simulated Performance
This Robot is recommended to be used when the markets are growing in general. The core algorithm makes only long The core algorithm makes only long