AI Stock Analysis Prompts That Actually Help
A good AI stock analysis prompt names the ticker, the timeframe, the question you are trying to answer, and the criteria you will judge the answer against. "Is TICKER a buy?" gives the tool nothing to work with. "On the daily chart, is TICKER still above its 50-day moving average, and how far could it pull back before that trend is broken?" is specific and checkable.
This article is a prompt library, grouped by what you are trying to do: read a trend, size up risk, review a setup, look back at a move that already happened, or compare a few charts. The prompts are generic examples for AI stock-analysis tools. They are not a list of what Drogo can do, and what Drogo supports is described in the docs. Tickers and numbers are placeholders, not recommendations. If you want the surrounding routine (defining your style, checking the answer on the chart, deciding yourself), that is in a five-step research routine for any stock.
What Makes a Prompt Good
The same AI will give you a generic paragraph or a useful read depending on what you ask. Four things separate the two.
Name the instrument and the timeframe
"How does this stock look?" could mean the 5-minute chart or the weekly. The answers can point in opposite directions. Say which one you mean, and if you care about more than one, ask about each separately so you can see where they disagree.
State what you want to know, not just the topic
"Tell me about support and resistance on TICKER" is a topic. "I am watching TICKER for a pullback. Where is the nearest level on the daily chart where buyers have stepped in before?" tells the tool what the answer is for, so it can leave out everything that does not bear on it.
Give your rules
If you only risk 1% of the account per trade, say so. If you do not hold through earnings, say so. If you trade breakouts and ignore mean reversion, say so. An answer framed around your rules is more useful than one that is correct in general and irrelevant to you.
Ask for the evidence and the counter-case
"What would make this read wrong?" is a useful sentence to add to almost any prompt. A model asked only for a conclusion can give you a confident one. Asked for the conditions that would invalidate it, it has to point at something specific, such as a level you can actually watch.
Vague Prompts and Their Better Versions
Vague: "Is TICKER a good buy right now?" Better: "TICKER on the daily chart: is price above or below the 50- and 200-day averages, and has it made a higher low in the last month?"
Vague: "What do you think of this chart?" Better: "Describe the current structure on this chart in two sentences, then list the two nearest levels that matter and why."
Vague: "Is this risky?" Better: "If I enter at 52.40 with a stop at 50.90, how does that stop sit relative to the last two swing lows and to a typical daily range?"
The better version always has a number, a level, a timeframe or a condition that the answer can be checked against. If you cannot tell whether the answer was right or wrong, the prompt was too loose.
Trend Prompts
Trend questions are a good place to start, because they are about what the chart already shows rather than what comes next.
"On the daily chart, is TICKER in an uptrend, a downtrend or a range? Base it on swing highs and lows, not just a moving average."
"Describe the trend in TICKER on the weekly chart." Then, as a separate question: "Describe the trend on the daily chart." Then ask where the two agree and where they conflict.
"Is the current move in TICKER accompanied by above-average volume, or is it happening on thin volume?"
"Is this trend accelerating or slowing? Compare the size of the last three pullbacks with the rallies before them."
Timeframe conflict is where many bad entries come from: a bullish 15-minute chart sitting inside a weekly downtrend. Asking for each timeframe separately and then for the disagreement stops you from reading only the chart you already like.
Risk Prompts
Risk questions depend on your own parameters, so include them. Work out position size yourself, since the arithmetic is simple. What a tool can usefully add is a read on where the stop sits relative to the chart.
"If I buy TICKER at 52.40 with a stop at 50.90, is the stop beyond a logical level or inside normal daily noise?"
"What is the typical daily range of TICKER over the last 20 sessions, and how does a 1.5-point stop compare to it?"
"Where is the nearest level that would invalidate a long here, and how far is it from the current price as a percentage?"
The useful part of these answers is whether the stop sits somewhere the market has already shown it cares about, or just wherever the math landed.
Setup Review Prompts
You already have an idea. These prompts are for stress-testing it before money is involved.
"I am looking at a possible breakout in TICKER above 118.50 on the daily chart. What does this setup show, and what would invalidate it?"
"What is the most likely way this setup fails? Give me the specific price behavior that would show it failing."
"Does this pullback to the 20-day average look like a normal retracement in the trend, or has the character of the move changed?"
"List the conditions that would make a breakout like this look clean, and tell me which ones are visible on the chart right now."
The second prompt asks how the setup fails, not whether it will. Failure criteria can be monitored. Predictions cannot. Treat the answers as observations to test against the chart, not as a check on whether a trade is right for you. That judgment stays with you.
Post-Move Review Prompts
Looking back at what already happened is an underused way to work with an AI tool, and the one with the least pressure. The move is over, the data is fixed, and you are only trying to learn something.
"TICKER dropped 7% yesterday. Walk through what the chart showed in the five sessions before the drop that I could have noticed."
"I took a long in TICKER at 84.10 and was stopped out at 82.60 before it rallied. Was the stop inside the normal range of that week, and where would a stop have survived?"
"What was different about volume on the breakout that failed in March compared with the one that worked in May?"
Hindsight makes everything look obvious, and an AI will happily build a tidy story around a move after the fact. Treat these answers as candidate signals, then check whether the same signal showed up on other days when nothing happened. A pattern that appears before every big move and also before every quiet day is not a pattern.
Comparing a Few Charts
These prompts ask the tool to compare, not to predict. Keep the set small, two or three stocks, so you can check the answer yourself.
"Compare the daily charts of TICKER_A and TICKER_B. Which has the cleaner trend structure, and what is the evidence?"
"Which of these two stocks is closer to its nearest support level on the daily chart, and by roughly how much?"
Good comparison prompts describe something that is either true or false for each stock, which makes it easy to verify by hand. If the tool gets one wrong, trust the rest less.
Prompts that ask a general-purpose assistant to screen a long list of tickers, rank them, or pull earnings and dividend calendars depend on the data that assistant has access to, so confirm those dates and numbers from a primary source such as the company's own filings.
Common Mistakes
Asking for a prediction. "Where will TICKER be next month?" gets a confident-sounding number with nothing behind it. Ask what conditions favor each direction instead.
Asking five things at once. A long prompt with several questions gets a long answer that skims each one. Split them up.
Accepting the first answer. Ask "what is the strongest argument against that?" and see whether the reasoning holds.
Not checking the data. Any tool's answer depends on the data it has, so verify the key numbers on the chart yourself, especially any level your decision depends on.
FAQ
Are these prompts specific to Drogo?
No. They are generic examples that work as a starting point in any AI stock-analysis tool. Which of them a given tool can answer depends on its features and data. Drogo's supported features are described in the docs.
Using the Prompts
Pick two or three prompts that match how you trade, adapt them to a stock you know well, and check each answer against the chart. Treat them as examples to adapt, not as features of any particular app.
Drogo is an AI stock-analysis app for iOS and Android, with natural-language questions and market data on TradingView charts. Drogo is not affiliated with or endorsed by TradingView. Analysis is shaped by the methodology you select. It covers stocks only, has a free tier, and does not execute trades or connect to a brokerage account. For how it works with charts, see AI on top of TradingView charts. You can get it on the App Store or Google Play; plans are on the pricing page.
This article is for informational purposes only and is not investment advice. Trading stocks involves risk, including the loss of principal.