NEW Earnings-Safe Strategy - Trading Results AI Trading Agent (80 Tickers), 60min

Overview: The AI Trading Robot is a machine-learning-based long-only trading system designed to identify short-term bullish opportunities within a selected universe of 80+ fundamentally stable stocks. The robot uses artificial intelligence, quantitative models, technical indicators, and market timing strategies to generate Strong Buy and Buy signals. The system focuses on identifying temporary market inefficiencies, oversold conditions, and historical price patterns while applying strict risk controls around earnings announcements and options expiration periods.

60-Minute ML Overview:

In a 60-minute deep dive, Tickeron’s Financial Learning Models (FLMs) demonstrate how AI and machine learning enhance market analysis through predictive algorithms, historical pattern recognition, technical indicator analysis, and real-time signal generation. The session covers AI-driven trading signals, backtesting, risk management, and how machine learning models adapt to changing market conditions. Special attention is given to event-risk protection, including earnings and options expiration filters.

Description of AI Trading Robot:

The AI Trading Robot is a long-only AI-powered strategy focused exclusively on identifying high-probability buying opportunities. The system analyzes price behavior, market cycles, technical patterns, and quantitative signals to generate Strong Buy and Buy recommendations.

The robot trades a diversified universe of 80+ stocks, including:

CBK, WLFC, VALU, SRCE, AMSF, HMN, MCS, ALX, USPH, TATT, HFWA, HBCP, ATRC, AMN, VLGEA, ETD, WMK, WILC, PRGS, WEYS, GOLD, ACLS, AGM, AMSC, AROW, ATNI, AVNW, BBW, BELFB, BH, BLBD, BSRR, BXC, BY, CCEC, CLMT, CNOB, CNXN, CPF, CUBI, CZNC, DAC, DCBO, DCO, DGICA, DLX, DMRC, DSGR, DXPE, FC, FEIM, FIVN, FLGT, FSBC, FSBW, GBX, GLP, GRC, GRVY, GSBC, HCI, HCSG, HDL, HIFS, HTO, ICFI, INOD, INSW, IPI, JANX and other approved securities.

Strategic Features and Technical Basis:

The AI Trading Robot combines multiple quantitative strategies:

End-of-Month Strategy

• Generates Strong Buy signals when favorable month-end conditions appear.
• Positions are typically held for approximately 7 business days.
• Trades may be closed earlier due to earnings or options expiration risk.

Monday Close Reversal Strategy

• Generates Strong Buy signals when Monday’s closing price is at least 1% below Friday’s close.
• Uses Internal Bar Strength (IBS) to identify recovery points.

10-Day Minimum Strategy

• Generates Buy signals when the closing price falls below the previous 10-day minimum.
• Designed to capture short-term oversold rebounds.

Three-Days Down Strategy

• Generates Buy signals after three consecutive daily declines.
• Targets short-term price reversals after excessive selling pressure.

Earnings Protection

• The robot avoids new entries one business day before earnings announcements.
• This reduces exposure to unpredictable earnings-related price gaps.

Options Expiration Protection

• The robot avoids generating new signals two business days before monthly options expiration.
• This reduces exposure to expiration-related volatility.

Quantitative Financial Thresholds:

• Trading style: Long only
• Universe: 80+ approved stocks
• Primary signals:
  • Strong Buy
  • Buy
• Holding period:
  • Short-term tactical positions
  • Approximately 1–7 trading days depending on strategy

Key quantitative rules:

• Monday reversal: Close ≥1% below previous Friday close
• IBS exit indicator:
  IBS = (Close − Low) / (High − Low)
• 10-day minimum: Close below previous 10 trading-day minimum
• Three-day down: Three consecutive declining closes

Strategic Rationale and Risk Attribution:

The AI Trading Robot is designed to capture short-term upside opportunities created by temporary market weakness, seasonal patterns, and statistically recurring price behaviors. By combining machine learning analysis with disciplined quantitative rules, the system identifies potential entry points while reducing emotional decision-making.

Risk management is embedded through earnings avoidance rules, options expiration filters, diversified stock selection, and predefined holding periods. The strategy focuses on finding favorable risk-adjusted long opportunities rather than predicting every market movement, providing a systematic AI-based approach to short-term equity investing.

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: High, indicating a broad array of instruments to hedge against sector-specific downturns and enhance profit opportunities.

• Optimal Market Condition High: If the current market volatility is Medium, then you should use the Best Robots in a 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 Robot