Overview: This AI trading agent is designed for aggressive intraday LONG trading in two U.S. technology equities:

• COHR — Coherent Corp.

• GLW — Corning Incorporated

The strategy combines tick-level price processing, trend detection, and volume confirmation to identify bullish momentum and breakout opportunities with reduced signal delay.

Tick data provides speed. Volume provides confirmation.

The robot trades LONG only, following developing or established bullish trends rather than attempting to predict market bottoms or trade against prevailing momentum.

Strategy

Entry Logic

A trade is opened only when three conditions align:

Price Behavior → Trend Confirmation → Volume Confirmation

Price movement alone is not sufficient. Volume acts as an additional confirmation layer designed to filter weaker or low-conviction movements.

Tick-level processing allows the robot to react faster than strategies relying exclusively on completed time-based bars.

Two-Stage Entry

Each ticker can receive up to two entries, allowing exposure to be built progressively.

Suggested structure:

• First entry: ~50% of intended position

• Second entry: ~50%

The second entry is added only when market conditions continue to support the trade.

Multi-Stage Exit

Positions can also be closed in stages.

The robot may secure profit on one portion while keeping the remaining position active if bullish momentum continues.

This structure provides flexibility during volatile market conditions and reduces dependence on a single entry or exit price.

Dynamic Profit Targets

Profit targets vary depending on volatility, market conditions, robot configuration, and trend strength.

Target range: approximately +4% to +25%.

Smaller targets allow the strategy to monetize shorter momentum moves, while larger targets provide room to participate in extended bullish trends.

Selected Tickers

COHR — Coherent Corp.

Sector: Information Technology / Technology
Industry: Photonics & Electronic Components

Coherent operates across photonics, optical communications, data centers, lasers, engineered materials, and related technology infrastructure.

COHR was selected for its liquidity, volatility, active market participation, and sensitivity to AI infrastructure, data-center, communications, and photonics trends.

GLW — Corning Incorporated

Sector: Information Technology / Technology
Industry: Advanced Materials & Optical Communications

Corning operates across optical communications, specialty materials, display technologies, automotive applications, and life sciences.

GLW provides exposure to optical networking, connectivity infrastructure, advanced materials, data centers, and technology spending.

Together, COHR + GLW create a concentrated technology-focused universe with exposure to photonics, optical communications, connectivity infrastructure, advanced materials, and AI/data-center demand.

Key Specifications

Parameter	Specification
Strategy	BUY LONG
Tickers	COHR + GLW
Number of Tickers	2
Trading Style	Intraday Trend / Momentum
Signal Processing	Tick-Level
Entry Confirmation	Price + Trend + Volume
Maximum Entries	2 per ticker
Suggested Allocation	50% + 50%
Exit Structure	Partial / Multi-Stage
Profit Targets	~4%–25%
Direction	LONG Only
Risk Profile	Aggressive

Execution & Risk Management

Execution price matters. Traders following signals manually should preferably enter near the original signal price.

If COHR or GLW has already moved substantially above the signal price, the original risk/reward profile may have changed. A moderate pullback below the signal price does not necessarily invalidate the setup if trend and volume conditions remain supportive.

Because the strategy trades only two technology-oriented stocks with exposure to related themes, concentration and correlated-sector risk are relatively high.

Position size, current volatility, and distance from the original signal price should therefore be considered carefully.

Core Principles

The strategy is built around four principles:

Speed — Confirmation — Position Management — Trend Participation

• Tick-level processing provides speed.

• Volume confirms market participation.

• Staged entries and exits provide flexible position management.

• Trend-following logic keeps the strategy focused on bullish directional opportunities.

Primary objective: capture strong bullish movements in COHR and GLW using fast market processing, volume-confirmed signals, and progressive position management.

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