CF ( Energy) - Trading Results AI Trading Agent, 60min
Description:
Overview
This Single Agent is a long-only, single-ticker price-action trading robot designed to identify and manage bullish opportunities in CF Industries Holdings, Inc. (NYSE: CF).
The strategy combines independent entry modules across the 60-minute (Min60) timeframe and applies systematic position and risk management rules. The objective is to participate in bullish price movements while controlling downside risk through hard stop-loss protection and dynamic trailing-profit exits.
Selected Tickers and About Tickers
CF — CF Industries Holdings, Inc.
Ticker: CF
Exchange: NYSE
Company: CF Industries Holdings, Inc.
CF Industries is a global manufacturer of ammonia, nitrogen products, hydrogen, and related products used in fertilizer, clean energy, emissions abatement, and industrial applications. The company operates manufacturing complexes in the United States, Canada, and the United Kingdom and has a large integrated production, storage, transportation, and distribution network.
CF Industries is the world's largest producer of ammonia, with approximately 10.5 million tons of average annual ammonia capacity. Its products include ammonia, granular urea, urea ammonium nitrate (UAN), and ammonium nitrate (AN).
The company also focuses on the development of low-carbon ammonia and hydrogen-related applications, expanding its business beyond traditional nitrogen fertilizer markets.
Strategy — BUY LONG
The agent follows a BUY LONG strategy.
It is designed to identify bullish price-action signals and open long positions when the underlying market conditions meet the predefined entry criteria.
The strategy does not open short positions. Each independent entry module can hold one lot, while the overall portfolio is subject to a shared maximum of 10 open lots.
The strategy combines multiple independent signal modules to provide diversified entry opportunities within the selected timeframe.
ML Overview — 60 Minutes
In a 60-minute timeframe, Tickeron's Financial Learning Models (FLMs) combine artificial intelligence and machine learning with technical market analysis.
The models analyze market data to identify bullish and bearish price patterns and generate trading insights. AI-driven analysis can support more systematic decision-making by helping identify potential entry and exit points, monitor changing market conditions, and keep trading activity aligned with broader market trends.
For this long-only PATH agent, the primary focus is on identifying bullish opportunities in CF and managing active long positions.
Description of Agent
The agent is a single-ticker, long-only price-action robot focused on CF Industries Holdings, Inc. (CF).
It combines independent entry modules operating primarily on the Min60 timeframe. Each module evaluates market conditions independently and may generate a long entry when its predefined conditions are satisfied.
The portfolio applies a shared position limit of up to 10 open lots.
The system is designed to operate systematically without relying on a single fixed profit target. Instead, positions are managed through predefined risk controls, signal-spacing rules, time-based expiration, and dynamic trailing-profit mechanisms.
Where applicable, VIX-regime conditions are incorporated into the trading logic to account for changes in the broader market volatility environment.
Position & Risk Management
The agent uses predefined risk-management rules to control individual positions and overall exposure.
Key parameters include:
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Direction: Long only
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Maximum open lots: 10
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Position size: One lot per independent entry module
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Hard stop-loss: Used to limit downside risk
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Trailing-profit exit: Dynamically protects accumulated gains
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Fixed take-profit: No single fixed take-profit target is required
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Signal spacing: Applied where relevant to avoid excessive repeated entries
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Time-based expiration: Positions/signals may expire according to predefined rules
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VIX regime filter: Applied where relevant to account for broader volatility conditions
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Virtual backtest balance: $100,000
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Maximum trade amount: $10,000
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Maximum portfolio exposure: Up to 10 open lots
The combination of hard stops, dynamic trailing exits, position limits, and market-regime conditions is intended to provide a systematic framework for managing both opportunity and downside exposure.
Trading Dynamics and Specifications:
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Maximum Open Positions: Low, maintaining focused and strategic trading rather than volume, which is suitable for managing high volatility with precision.
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Robot Volatility: Medium, offering a balanced approach between capturing significant market movements and mitigating sharp declines.
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Universe Diversification Score: Low, indicating a narrow array of instruments to hedge against sector-specific downturns and enhance profit opportunities.
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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.
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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 (114 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