The markets have changed! The leverage is no longer in having the fastest data connection, but having the best insights and cognition. AI tools like ChatGPT and Claude are assistants capable of processing a huge amount of data in a matter of seconds, making them essential for anyone wishing to gain an edge over the competition.
With Large Language Models, however, the quality of the result is dependent on the structure of your request. To be able to trade smarter, you must be able to know how to better describe your ideas and what you wish to obtain.
In this article, we will introduce some concepts such as AI prompts for trading, showing you how to use AI to analyze market conditions, identify a pattern, and enhance cognition for better than ever decision-making. These tools can help you significantly improve your trading psychology, as well as your hard skills, so you can get better at analyzing technical charts and developing algorithmic strategies.
Context is Everything: How to Write AI Prompts for Trading
The difference between generic answers and outputs that are actually effective lies in Context Engineering.
AI experts suggest that if you want to obtain objective, valuable outputs from AI models, you must design prompts that follow a specific structure that makes it easier for the AI to interpret its job and how to perform it as the user wishes to.
Before hitting the send button, you must check whether your prompts provide the AI assistant with a Role, a Task, a Context, and clear Constraints.
- Role: This is how you assign a persona for the model, such as “You are a senior Technical Analyst” or “Act as a professional day trader with over 20 years of trading experience”.
- Context: In context, you provide the model the necessary data to understand the scenario in which it must operate. For example, you can tell the model that “current market volatility is high due to recent CPI news” or “X/Twitter sentiment has been overwhelmingly negative about this specific asset in the last 24 hours”.
- Task: The goal is to be as specific and objective as possible. An example would be something like: “analyze the recent price action for short-term reversal signals for this BTC-USD daily chart”.
- Constraint: You must limit the scope, so that the model doesn’t deviate from the intended goal (e.g., “focus only on high volume breakouts”).
Consistently good outcomes are derived from a data-driven approach. Instead of coming up to ChatGPT with a vague input, such as “what should I trade?”, you must bring it a prompt that directs it towards the creation of a plan to explore specific entries based on things such as historical volatility, for example.
Limitations of Working with ChatGPT and AI for Technical and News Analysis
Even though AI assistants are a wonderful technology, it is important to highlight that it cannot predict market movements with certainty. It can provide you with comprehensive analyses of key indicators and increase your performance as a trader, but the human element is still essential to diminish the risks.
AI models are prone to hallucinations, meaning they tend to confidently state facts that are incorrect or untrue. They can end up citing non-existent news events or come up with senseless financial figures. It is essential that you always double check on recommendations given by AI and review their analysis before making high-stakes decision in real-world scenarios.
When it comes to the legality of using AI in trading, the focal point is mainly on market manipulation tactics. Automation that engages in activities such as spoofing (i.e., placing fake orders to move prices) can lead to legal repercussions. Beware that, if you plan on building trading bots, their development must be in line with the SEC and FINRA guidelines.
Prompts to Get the AI to Interpret and Analyze Markets
Experienced traders rely on fundamental news and technical chart data to develop their market analyses. AI models can easily recognize patterns and quickly synthesize reports and other sources of information. Their assistance really shines when it comes to factor in all the relevant components of a good market overview.
Key Fundamental Analysis and News
To get a deeper understanding of the market, you can get ChatGPT to interpret and summarize reports, notes, and many other sources. Consider the following prompts:
- Act as a financial journalist. Summarize the key takeaways from the latest FOMC meeting minutes. Highlight potential impacts on the long-term treasury yields and the banking sector.
- Analyze the sentiment of the following earnings call transcript for Company XYZ. Is the CEO’s tone confident regarding profitability and revenue growth?
Chart Analysis
When it comes to chart data, AI models can perform extremely well and provide reliable and actionable advice. Considering the multimodality of the most recent models, you can provide them with screenshots of charts or, my favorite choice, JSON files containing OCHL data and indicators.
Some prompts to consider include:
- You are a Chartered Financial Analyst with over 40 year of experience. Review the daily chart data provided. Identify key support and resistance levels based on the last 30 days of price action.
- Based on Japanese candlestick patterns, identify consistent behavior signaling a Morning Star or a Bullish Engulfing Pattern that could potentially suggest a trend reversal.