NEW DE (Industrials) - Trading Results AI Trading Agent, 60min
Description:
Overview
This Single Agent is a long-only, single-ticker price-action trading robot designed for thematic equity universes. The strategy combines independent entry modules operating primarily on 60-minute market data and, where selected, on daily intervals.
The agent focuses on identifying bullish price-action opportunities, entering long positions, and managing open positions through predefined risk and exit rules. Each selected ticker represents a separate product within the thematic equity universe.
Backtests use a virtual account with a $100,000 balance, a $10,000 maximum trade amount, and a portfolio limit of up to 10 open lots.
Selected Tickers and About Tickers
DE — Deere & Company
Sector: Industrials
Industry: Agricultural & Construction Machinery
Deere & Company, commonly known as John Deere, is a U.S.-based manufacturer of agricultural, construction, forestry, and related equipment. The company develops machinery and technology solutions used across farming, construction, and other industrial applications.
Ticker: DE
Company: Deere & Company
Sector: Industrials
Trading Direction: Long Only
Strategy — BUY LONG
The agent uses a BUY LONG strategy focused on bullish price-action signals.
Independent entry modules analyze market conditions across the selected time intervals. When qualifying bullish conditions are identified, the relevant module may initiate a long position.
The strategy does not use a single fixed take-profit target. Instead, open positions are managed through:
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Hard stop-loss protection
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Dynamic trailing-profit exits
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Signal-spacing rules
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Time-based position expiration
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VIX-regime conditions, where applicable
Each entry module may hold one lot, while the portfolio applies a shared maximum of 10 open lots.
ML Overview — 60 Minutes
In a 60-minute briefing, users can gain an understanding of how 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 patterns and generate trading insights. AI-driven analysis can support more systematic decision-making, assist with entry and exit timing, and help evaluate changing market conditions in relation to broader market trends.
For this long-only PATH agent, the primary focus is on identifying bullish opportunities and managing active long positions.
Description of Agent
This Single Agent applies a structured price-action methodology to a selected thematic equity universe. Each product is linked to one ticker and operates as a long-only strategy.
The agent combines multiple independent entry modules to evaluate market conditions and identify potential bullish setups. Depending on the selected configuration, signals may be evaluated on 60-minute and daily intervals.
The campaign includes 51 selected products from the September 2026 thematic-equity campaign. Local TRAIN and OOS metrics serve as selection evidence. Tickeron backtests have been submitted under the corresponding negative Robot IDs.
Forwardtest, production RobotId, and ProductId remain blank until the respective transfer and product-creation processes are completed.
Position & Risk Management
The portfolio uses predefined position and exposure controls:
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Account Balance: $100,000 virtual account
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Maximum Trade Amount: $10,000
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Maximum Open Lots: 10
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Position Type: Long Only
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Stop Management: Hard stop-loss protection
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Profit Exit: Dynamic trailing-profit mechanism
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Signal Control: Signal-spacing rules
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Time Control: Time-based position expiration
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Market Regime: VIX-regime conditions where applicable
These mechanisms are designed to provide a structured framework for entering, managing, and exiting long positions while maintaining defined portfolio-level exposure limits.
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 (107 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