Overview: This AI Trading Agent is a counter-trend, LONG-only trading system designed for traders who prefer a more active approach with recurring short-term trading opportunities.
The Agent operates across 3 selected growth and technology-oriented tickers — IREN, JOBY, and LUNR — representing exposure to AI infrastructure, advanced air mobility, and space technology.
Unlike trend-following systems that seek to capture large directional moves, the counter-trend algorithm focuses on shorter-term market situations where price action may create opportunities for a rebound or recovery.
The Agent looks for conditions such as:
The strategy operates exclusively on the LONG side and does not open short positions.
The Agent has a medium trading activity level, balancing the search for recurring opportunities with selective trade execution.
Sector / Theme: Technology / AI Infrastructure & Data Centers
IREN operates a vertically integrated AI Cloud Services platform combining data center infrastructure, computing hardware, and software. Its infrastructure supports AI training and inference workloads, giving the Agent exposure to the rapidly developing AI compute and data center ecosystem.
Ticker: IREN
Sector / Theme: Industrials / Aerospace & Advanced Air Mobility
Joby Aviation develops all-electric vertical takeoff and landing (eVTOL) aircraft designed for air transportation services. The company represents the emerging advanced air mobility and electric aviation market.
Ticker: JOBY
Sector / Theme: Industrials / Space Technology & Infrastructure
Intuitive Machines is a space infrastructure and services company developing spacecraft, communications networks, lunar systems, and other technologies supporting operations in Earth orbit, cislunar space, and deep space.
Ticker: LUNR
Together, IREN, JOBY, and LUNR provide the Agent with exposure to three innovation-driven themes: AI Infrastructure, Advanced Air Mobility, and Space Technology.
The Agent follows a counter-trend BUY LONG strategy.
Instead of chasing an already established upward trend, the algorithm searches for situations where short-term selling pressure may have become excessive and conditions for a potential rebound are developing.
The strategy may identify opportunities when:
The strategy is designed around relatively short price movements, with a typical Take Profit objective of approximately 1–2%, depending on market conditions.
During active trading sessions, the algorithm may identify multiple opportunities, while remaining outside the market when suitable counter-trend conditions are absent.
Direction: LONG only
Tickers: IREN, JOBY, LUNR
Number of Tickers: 3
Trading Activity: Medium
Strategy Type: Counter-Trend
The Agent uses a 60-minute analytical framework to evaluate market conditions and identify potential LONG opportunities.
Machine-learning models analyze price behavior and changing market conditions across IREN, JOBY, and LUNR, searching for patterns associated with short-term price exhaustion, consolidation, pullbacks, and potential rebounds.
The 60-minute framework helps reduce excessive reaction to very short-term market noise while maintaining enough responsiveness for active counter-trend trading.
The ML system continuously reassesses market conditions and determines whether the current setup meets the requirements for opening or maintaining a LONG position.
Risk management is integrated directly into the Agent's trading logic.
The system evaluates market conditions before every potential entry and only opens a position when the required counter-trend criteria are satisfied.
Key principles include:
The objective is not to predict every market move, but to participate selectively when the algorithm identifies conditions consistent with its counter-trend trading model.
The IREN–JOBY–LUNR Counter-Trend AI Trading Agent is designed for traders seeking a more active trading style based on shorter-term LONG opportunities.
The Agent combines three innovation-focused market themes:
IREN → AI Infrastructure & Data Centers
JOBY → Advanced Air Mobility & Electric Aviation
LUNR → Space Technology & Infrastructure
Rather than relying on one market environment, the counter-trend model is designed primarily for periods of pullbacks, consolidation, and sideways price action.
When prices decline sharply and begin to stabilize, the Agent can search for rebound opportunities. When markets enter a trading range, it can identify repeated short-term setups. If the required conditions are not present, the system can remain outside the market.
This makes the Agent particularly complementary to trend-following AI Trading Agents.
Sideways / Consolidating Market → Counter-Trend Agents
Strong Directional Market → Trend-Following Agents
Using the two approaches together allows different trading models to operate in the market environments for which their logic was designed.
For traders looking to complement this counter-trend strategy with algorithms designed to capture stronger directional market moves, see our Trend-Following AI Trading Agents:
AI Infrastructure (COHR, GLW) - Trading Results AI Trading Robot, 60min
Semi (TSM, AMKR) - Trading Results AI Trading Agent, 60min
Trading Dynamics and Specifications
Maximum Open Positions: Low, maintaining focused and strategic trading rather than volume, which is suitable for managing high volatility with precision.
Robot Volatility: Medium to High. Biotechnology equities are inherently volatile because their valuations can change rapidly following trial results, FDA decisions, partnership news, or earnings announcements.
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: Medium to High biotechnology-sector volatility, especially when leadership is concentrated in a group of innovative healthcare companies. The robot is most suitable when the sector has clear relative-strength leaders and frequent catalyst-driven price movements.
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
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