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Jun 19, 2026 12:02 PM

NEW Google AI Empire - Trading Results with corridor TP 3% / SL 2% AI Trading Agent (29 Tickers), 15min

4 0
10+ 10
Adjustable trading balance $100,000 Profit (364 days) $126,378 Annualized Return + 126%
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Description:

Overview: This AI Trading Robot is a 15-minute, machine-learning–driven trading agent designed to automate and simplify LONG-only swing trading across 29 carefully selected growth, semiconductor, artificial intelligence, aerospace, defense, cloud computing, mobility, and advanced technology stocks. The system generates BUY LONG signals using advanced pattern recognition, candlestick filtering, and Financial Learning Models (FLMs) that continuously analyze market structure, volatility regimes, and momentum shifts while dynamically adapting through artificial intelligence.

The portfolio includes leading companies from the semiconductor manufacturing, AI infrastructure, enterprise software, cloud computing, autonomous mobility, aerospace, defense technology, satellite communications, and space exploration industries. By focusing exclusively on LONG opportunities, the strategy seeks to participate in sustained growth trends across some of the world's most innovative and technologically advanced companies.

Each position is managed with strict risk parameters — a +3% take-profit and a –2% stop-loss — enabling disciplined participation in trending markets without constant manual supervision. By combining 15-minute intraday precision with higher-timeframe trend confirmation, the robot provides structured, emotion-free execution for traders seeking consistency, transparency, and AI-assisted decision-making across modern technology and innovation-driven sectors.

BUY LONG Tickers (29 Instruments)

AMAT — Applied Materials

Sector: Semiconductor Equipment & Manufacturing Technology

AMD — Advanced Micro Devices

Sector: Semiconductors / Artificial Intelligence / High-Performance Computing

AMKR — Amkor Technology

Sector: Semiconductor Packaging & Testing Services

APTV — Aptiv PLC

Sector: Automotive Technology / Autonomous Driving Systems

ASML — ASML Holding

Sector: Semiconductor Lithography Equipment

ASTS — AST SpaceMobile

Sector: Satellite Communications / Space Technology

AVGO — Broadcom Inc.

Sector: Semiconductors / AI Infrastructure / Networking

CRM — Salesforce Inc.

Sector: Enterprise Software / Cloud Computing / CRM

DELL — Dell Technologies

Sector: Enterprise Hardware / AI Infrastructure / Data Centers

GOOGL — Alphabet Inc.

Sector: Internet Services / Artificial Intelligence / Cloud Computing

KLAC — KLA Corporation

Sector: Semiconductor Process Control Equipment

KTOS — Kratos Defense & Security Solutions

Sector: Defense Technology / Aerospace Systems

LRCX — Lam Research

Sector: Semiconductor Manufacturing Equipment

LUNR — Intuitive Machines

Sector: Space Exploration / Lunar Technology

LYFT — Lyft Inc.

Sector: Mobility Technology / Ride-Sharing

MBLY — Mobileye Global

Sector: Autonomous Driving / Advanced Driver Assistance Systems

MSFT — Microsoft Corporation

Sector: Software / Cloud Computing / Artificial Intelligence

MU — Micron Technology

Sector: Memory Semiconductors / Data Storage

NOC — Northrop Grumman

Sector: Aerospace & Defense

NVDA — NVIDIA Corporation

Sector: Artificial Intelligence / Semiconductors / Data Centers

ORCL — Oracle Corporation

Sector: Enterprise Software / Cloud Infrastructure

PLTR — Palantir Technologies

Sector: Artificial Intelligence Software / Data Analytics

RKLB — Rocket Lab USA

Sector: Space Launch Services / Aerospace Technology

RTX — RTX Corporation

Sector: Aerospace & Defense Systems

SNOW — Snowflake Inc.

Sector: Cloud Data Platforms / Artificial Intelligence

TER — Teradyne Inc.

Sector: Semiconductor Testing Equipment / Industrial Automation

TSLA — Tesla Inc.

Sector: Electric Vehicles / Energy Technology / AI

TSM — Taiwan Semiconductor Manufacturing Company

Sector: Semiconductor Foundry Manufacturing

UBER — Uber Technologies

Sector: Mobility Technology / Transportation Platforms

Suitability

These AI Trading Bots are designed for simplicity and efficiency, utilizing a fixed trading corridor with a +3% Take Profit (TP) and a –2% Stop Loss (SL). The system is particularly suitable for traders who can enter positions during market hours but may not always be available to actively manage exits. Once a trade is opened, users can place automated limit orders for profit-taking and stop orders for risk control, allowing the strategy to operate in a fully rules-based, disciplined manner across diversified technology, semiconductor, artificial intelligence, aerospace, defense, and mobility sectors.

15-Minute ML Overview

In a 15-minute framework, traders gain insight into how Financial Learning Models (FLMs) integrate artificial intelligence, machine learning, and technical analysis to identify high-probability LONG opportunities across leading technology and innovation-focused companies. The system continuously processes real-time price action, volatility clustering, momentum shifts, and trend confirmation signals to generate structured BUY LONG setups with improved timing and risk precision.

The model also explains how AI-driven filtering reduces market noise, improves signal quality, and enhances consistency during changing market regimes. The 15-minute timeframe balances intraday responsiveness with swing-trend alignment, making it suitable for short-to-medium-term position strategies across semiconductor, AI, cloud computing, aerospace, defense, autonomous mobility, and space technology industries. Emphasis is placed on execution discipline, automated risk management, emotional neutrality, and the advantages of combining AI analytics with systematic trading rules.

Strategic Features and Technical Basis

The AI Trading Agent combines advanced pattern recognition with Financial Learning Models (FLMs) to deliver adaptive and structured trading decisions:

  • 15-Minute Pattern Recognition: Entry signals are generated on the M15 chart using high-resolution technical pattern detection across individual stock price structures.
  • FLM-Based Trend Filtering: Financial Learning Models validate directional bias and filter out low-quality market noise.
  • ML-Powered Optimization: Machine learning continuously improves signal detection and trade selection efficiency.
  • Smart Swing Trading Strategy: Positions are held to capture medium-term momentum, with exit confirmation supported by higher timeframe trend alignment.
  • Automated Risk Management: Portfolio exposure is controlled with a maximum of six simultaneous positions and continuous monitoring logic.
  • Dynamic Profit Targets: Standardized +3% take-profit and –2% stop-loss levels adapt based on volatility conditions.
  • Candlestick Entry Filtering: Intraday candlestick patterns refine entries for improved timing and precision.

Position and Risk Management

Designed for both novice and intermediate traders, the system emphasizes stability through structured automation and diversified exposure across 29 leading growth and technology companies. Daily and higher-timeframe filters reduce emotional decision-making while AI-driven FLMs continuously adapt to evolving market conditions. The framework allows users to build confidence in systematic execution while the algorithm manages technical complexity, signal generation, and risk balancing across a broad universe of semiconductor, AI, cloud computing, aerospace, defense, mobility, and space-technology leaders.

Trading Dynamics and Specifications:

  • Maximum Open Positions: High, enabling the robot to diversify across numerous trades and reduce risk through market exposure.
  • Robot Volatility: Medium, offering a balanced approach between capturing significant market movements and mitigating sharp declines.
  • 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): Medium, offering a balanced profit vs. drawdown scenario that makes it an ideal choice for intermediates and experts.
  • Optimal Market Condition Medium: If the current market volatility is Medium, then you should use the Best Robots in Medium Volatility Market (VIX is Medium - 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 Robots

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Actual Performance
(363 days)
Date range
6/20/2025 - 6/19/2026
Amount Of Each Trade:
Open Trades P/L:
Closed Trades P/L:
Total Net Profit:
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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

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