NEW PARR (Energy) - Trading Results AI Trading Agent, 60min

Overview

The PARR Single Agent is a long-only, single-ticker price-action trading robot designed for Par Pacific Holdings, Inc. (NYSE: PARR).

The agent combines independent technical entry modules across the 60-minute timeframe and applies rule-based position and risk management to identify bullish market opportunities and manage active long positions.

The strategy is designed for a thematic equity universe and operates exclusively on the selected ticker PARR.

Selected Ticker and About Ticker

PARR — Par Pacific Holdings, Inc.

• Ticker: PARR

• Company: Par Pacific Holdings, Inc.

• Sector: Energy

• Industry: Oil & Gas Refining & Marketing

• Primary Exchange: NYSE

• Headquarters: Houston, Texas, USA

Par Pacific Holdings, Inc. is an energy company operating businesses across refining, retail, and logistics. Its refining operations produce products including gasoline, distillates, jet fuel, marine fuel, asphalt, and other refined petroleum products. Its retail operations include fuel stations and convenience stores, while its logistics business supports the transportation, storage, and distribution of crude oil and refined products.

Strategy — BUY LONG

The PARR agent follows a BUY LONG strategy.

It is a long-only price-action system that evaluates market behavior on the 60-minute timeframe and activates positions when the configured entry modules identify bullish conditions.

Key characteristics:

• Single-ticker strategy focused exclusively on PARR

• Long positions only

• Independent entry modules operating on the 60-minute timeframe

• Each active module may hold one lot

• Portfolio-level limit of up to 10 open lots

• Hard stop-loss protection

• Dynamic trailing-profit exits

• Signal-spacing rules to control the frequency of new entries

• Time-based position expiration where applicable

• VIX-regime conditions where applicable

The strategy does not rely on a single fixed take-profit level. Instead, positions are managed dynamically according to price action and the configured exit rules.

ML Overview — 60 Minutes

In a 60-minute briefing, users can gain a clear 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, help evaluate entry and exit conditions, and adapt analysis to changing market conditions.

For this long-only PATH agent, the primary emphasis is on identifying bullish opportunities in PARR and managing active long positions.

Description of Agent

The PARR Single Agent is built as a focused thematic-equity trading system for one ticker.

The algorithm evaluates 60-minute price-action signals through multiple independent entry modules. When the configured conditions are met, an individual module can initiate a long position. Multiple modules may operate independently while remaining subject to the shared portfolio limit of up to 10 open lots.

Position exits are managed through hard stop-loss protection, dynamic trailing-profit logic, signal-spacing rules, and time-based expiration where applicable. VIX-regime conditions may also influence signal activation depending on the selected configuration.

Each backtest is based on a virtual account with:

• Virtual Account Balance: $100,000

• Maximum Trade Amount: $10,000

• Maximum Open Lots: 10

• Trading Direction: Long only

• Primary Timeframe: 60 minutes

The agent is intended to provide a systematic framework for monitoring and trading bullish price-action opportunities in PARR.

Position & Risk Management

The agent uses predefined position and risk-management rules to control how trades are opened and closed.

Position Management

• Long positions only

• Maximum of one lot per individual entry module

• Shared portfolio cap of up to 10 open lots

• Maximum trade amount of $10,000

• Signal-spacing rules applied where configured

• Time-based position expiration applied where configured

Exit Management

Positions are managed using:

• Hard stop-loss protection

• Dynamic trailing-profit exits

• Time-based expiration where applicable

• Strategy-specific signal conditions

• VIX-regime filters where applicable

The combination of these mechanisms is designed to provide a structured approach to entry, position sizing, and exit management while keeping the agent focused on the PARR price-action profile.

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, 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): 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 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