How to Build AI Trading Prompts Using Technical Indicators (RSI, MACD & More)
Why Most Traders Are Using AI Wrong (And What to Do Instead)
Here’s a frustrating truth: most traders who try AI-assisted analysis get mediocre results — not because AI is limited, but because they’re asking the wrong questions. Typing “is Tesla a good buy?” into ChatGPT is like asking a Formula 1 engineer to change your oil. You’re not using the tool to its potential.
The traders getting real edge from AI are the ones pairing it with technical indicators — giving it structured, data-rich prompts that produce specific, actionable setups instead of vague commentary.
In this guide, I’ll show you exactly how to build indicator-based AI prompts that actually move the needle.
What Are Indicator-Based AI Prompts?
An indicator-based prompt is one that feeds your AI specific technical data — RSI levels, MACD crossovers, moving average positions, volume spikes — and asks it to interpret that data in the context of a trade decision.
Instead of: “What do you think about Apple stock?”
You ask: “AAPL is trading at $187, above its 50-day MA ($181) and 200-day MA ($174). RSI is at 62. MACD just crossed bullish on the daily. Volume yesterday was 1.3x average. Is this a valid breakout setup or a potential bull trap? Give me entry, stop, and target levels.”
See the difference? The second prompt gives the AI something to work with. The output goes from generic opinion to structured trade analysis.
The 5 Core Indicators Every AI Prompt Should Include
You don’t need to use all of these every time, but these are the building blocks of a powerful indicator-based prompt:
1. Moving Averages (MA / EMA)
Always include whether price is above or below key moving averages — the 20, 50, and 200-day are the most watched. This tells the AI the trend context immediately. Example: “Price is above the 50 EMA but below the 200 MA — interpreting this as a potential trend recovery.”
2. RSI (Relative Strength Index)
RSI tells the AI whether the asset is overbought (above 70), oversold (below 30), or neutral. This is critical for filtering entries. Include the current RSI value and whether it’s rising or falling.
3. MACD (Moving Average Convergence Divergence)
A MACD crossover is one of the most reliable momentum signals. Tell the AI whether the MACD line just crossed above or below the signal line, and whether the histogram is expanding or contracting.
4. Volume
Always include volume context relative to the average. “Volume was 2x average on yesterday’s up candle” is a powerful confirmation signal. Breakouts on low volume are suspect — include this data and let AI flag it.
5. Support/Resistance Levels
Tell the AI where the nearest key support and resistance levels are. This frames the risk/reward calculation. Example: “Key resistance at $192, support at $181. Currently trading at $187.”
The Prompt Framework: Step by Step
Here’s the exact structure I use for every indicator-based analysis prompt:
Template:
“Analyze [TICKER] for a [swing/day/position] trade. Current price: $[X]. Trend: [above/below] [50/200]-day MA at $[Y]. RSI: [value] and [rising/falling]. MACD: [bullish/bearish crossover / no crossover]. Volume: [X]x average on last session. Key resistance: $[A]. Key support: $[B]. Is this a valid [long/short] setup? If yes, give me: entry zone, stop loss, price target, and risk/reward ratio. Flag any risks that would invalidate this setup.”
This single template, applied consistently, will produce better trade analysis than most paid research services. The key is discipline — fill in every variable before you submit the prompt.
Real Example: Running the Framework on a Live Trade
Let’s say you’re looking at a potential breakout in a tech stock. Here’s how you’d run it:
“Analyze NVDA for a swing trade. Current price: $875. Trend: above both 50-day MA ($842) and 200-day MA ($710). RSI: 58, rising from 52 over 3 days. MACD: bullish crossover on daily 2 days ago, histogram expanding. Volume: 1.4x average on last 2 up days. Key resistance: $900. Key support: $840. Is this a valid long setup? Give me entry zone, stop loss, price target, and risk/reward ratio.”
That prompt will get you a structured, reasoned response that considers trend, momentum, and risk — not a generic opinion about whether Nvidia is a “good company.”
Common Mistakes That Ruin Your Results
- Leaving out volume data. Volume is the one indicator most traders skip in their prompts. It’s often the difference between a real breakout and a fake one.
- Using vague timeframes. Always specify whether you’re trading on the daily, 4-hour, or 1-hour chart. The same setup looks completely different across timeframes.
- Asking for predictions instead of analysis. Ask AI to evaluate a setup, not predict the future. “Is this a valid setup?” beats “Will this stock go up?”
- Skipping the risk invalidation question. Always ask: “What would invalidate this setup?” This forces the AI to give you your exit trigger before you enter.
Level Up: Combining Multiple Indicators in One Prompt
Once you’re comfortable with the basic framework, start stacking confluence. The more indicators pointing in the same direction, the higher the probability of the setup working. A bullish MACD crossover is good. A bullish MACD crossover + RSI rising from oversold + price bouncing off 50-day MA + above-average volume = a high-conviction setup worth sizing into.
Building these multi-indicator prompts efficiently is a skill in itself — and it’s exactly what I break down in the Quickstart Guide to Building Powerful Indicator-Based Trading Prompts. It covers 15+ indicator combinations, prompt templates for different market conditions, and real trade examples.
👉 Grab the Indicator Prompt Quickstart Guide →
Your Action Plan
- Pick one stock you’re already watching tonight
- Pull its RSI, MACD, MA positions, and volume from TradingView (free)
- Drop the data into the template above
- Compare the AI output to what you would have concluded manually
Most traders are shocked at how much cleaner the analysis is when you give AI structured data instead of just a ticker symbol. Do this for a week and you’ll never go back to unstructured prompts.
Also on the blog: How to find high-confidence trade setups in under 10 minutes using AI — the full 4-step workflow.
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Cameron Long
Cameron is a seasoned CFO and CPA with 31 years in finance. He created the AI Trader's Playbook to help everyday investors use AI to find high-confidence trades — in minutes, not hours.
Read More About Cameron → Get the AI Trader's PlaybookCameron Long — CFO, CPA & AI Trading Expert
Cameron is a seasoned CFO and CPA with 31 years in finance. He created the AI Trader's Playbook to help everyday investors use AI to find high-confidence trades in minutes, not hours.
About Cameron → Get the AI Traders Playbook
