heliostar9000/42MXT_CrudeEnergy_200KE_FTINST

Model: 42MXT_CrudeEnergy_200KE_FTINST (42INSTCrudeEnergyLLM)

Description:

Before using this model, please read the disclaimer section. By downloading and using the model you agree to the terms and conditions contained in the disclosure section.

42INSTCrudeEnergyLLM is a fine-tuned language model based on an instruct architecture, specifically designed to assist energy traders in making informed decisions by analyzing and interpreting various types of events that impact crude energy markets. The model has been trained on The model has been trained on approximately 25k individual signals comprising 100K patterns & factors from 5M unique events associated with energy and energy linked assets from 42AI's proprietary graphs. Investment accuracy as measured by trading in crude oil and natural gas futures was around 67%, while in tasks associated with language comprehension and reasoning accuracy was 74%. This is comparable to a mid level - senior level energy analyst & trader.

Key Features:

Quantamental Analysis: 42INSTCrudeEnergyLLM can process and interpret quantitative and fundamental data related to crude energy markets, such as supply and demand dynamics, production levels, inventory reports, and economic indicators. It can provide insights and recommendations based on this data. It can identify key events, such as company announcements, regulatory changes, and industry developments, and assess their potential impact on crude energy prices by recognizing patterns and generating insights. The model is capable of analyzing technical events and patterns in crude energy price charts, such as support and resistance levels, charts, leverage ratios, CoTs etc. Based on all of the above, it is capable of generating trading signals.

Geopolitical Event Analysis: The model is trained to understand and interpret geopolitical events and patterns that can influence crude energy markets, such as political instability, trade agreements, sanctions, and conflicts. It can provide insights into how these events may affect supply chains, demand, and overall market sentiment.

Trading Strategies and Risk Management: 42INSTCrudeEnergyLLM can generate trading strategies based on the analysis of various factors - notably non-linear patters events and market conditions specific to the crude, nat gas & energy sector. It can also assist in risk management by identifying potential risks and suggesting appropriate hedging strategies. It can also create market neutral, long short & long only strategies focused on the energy markets.

Natural Language Interaction: Users can interact with 42INSTCrudeEnergyLLM using natural language queries and instructions. The model can provide clear and concise responses, explanations, and recommendations in a user-friendly manner, tailored to the crude energy trading domain.

By leveraging the power of instruct-based learning and fine-tuning on crude energy-specific data, 42INSTCrudeEnergyLLM aims to empower crude energy traders with valuable insights, analysis, and trading recommendations. The model needs a real time data source which feeds it with market information. Such a real time data source maybe a human energy trader, a MRN - a machine readable news feed or a traditional market data source such as Bloomberg or Refinitiv. The model's ability to process and interpret diverse types of events and data sources makes it a comprehensive tool for navigating the complex and dynamic crude energy markets.

Disclaimer:

The 42MXT_CrudeEnergy_200KE_FTINST (42INSTCrudeEnergyLLM) model is an open-source language model designed for research and informational purposes only. The model's outputs, including but not limited to insights, analysis, trading signals, strategies, and recommendations, are not intended to constitute investment advice, financial advice, or trading advice in any form. The use of this model for day-to-day trading is strongly discouraged.

Users of the 42INSTCrudeEnergyLLM model must exercise caution and critically examine the model's outputs before making any trading or investment decisions. The model's outputs may include patterns or predictions that attempt to forecast future market behavior, which may not be suitable or reliable for backtesting or real-world trading scenarios.

Before using the 42INSTCrudeEnergyLLM model in any production environment or real-world trading scenario, it is imperative that users seek the guidance and expertise of qualified energy consultants, advisers, and experienced traders. The model's outputs should be treated as one of many inputs in the decision-making process and should not be relied upon as the sole basis for any trading or investment decisions.

The authors, developers, and contributors of the 42INSTCrudeEnergyLLM model shall not be held liable, under any circumstances, for any losses, damages, or adverse outcomes arising from the use of this model, including but not limited to financial losses, trading losses, or any other form of direct or indirect losses. Users of the model assume full responsibility for their actions and decisions based on the model's outputs.

By using the 42INSTCrudeEnergyLLM model, users acknowledge and agree to this disclaimer and understand that the model is provided "as is" without any warranties, expressed or implied. The authors, developers, and contributors of the model disclaim any liability or responsibility for the accuracy, completeness, or reliability of the model's outputs or any consequences arising from its use.

It is the sole responsibility of the users to ensure compliance with all applicable laws, regulations, and guidelines in their respective jurisdictions when using the 42INSTCrudeEnergyLLM model or acting upon its outputs.