Louis Gleeson Profile picture
Aug 2 12 tweets 3 min read Read on X
This is wild.

You can ask ChatGPT-4o to explain Warren Buffett’s portfolio, analyze market trends, and even spot risky stocks.

Here are 10 essential prompts for every trader:
1/ Market Analysis:

"Analyze the current trends in the stock market, focusing on [input sector or stock]. Identify any emerging patterns and suggest potential investment opportunities. Consider recent earnings reports and industry news in your analysis."
2/ Portfolio Diversification:

"Given a portfolio with a mix of [input current sectors or stocks], suggest strategies to diversify further while minimizing risk. Include potential sectors to explore and specific stocks to consider."
3/ Risk Management:

"Discuss effective risk management techniques for a stock trader. Provide detailed examples of how to implement stop-loss orders, diversification, and position sizing in a trading strategy. Use [input current trading strategy or stock] as a reference."
4/ Technical Analysis:

"Using technical analysis, evaluate the stock of [input stock]. Analyze recent price movements, volume, and key indicators such as moving averages and RSI. Provide a buy, sell, or hold recommendation." Image
5/ Economic Indicators:

"Explain how various economic indicators like GDP, unemployment rates, and inflation impact stock market performance. Provide examples of how investors can use these indicators to make informed trading decisions regarding [input sector or stock]." Image
6/ Value Investing:

"Describe the principles of value investing and how to identify undervalued stocks. Use real-world examples, including [input stock or company], to illustrate how investors can apply this strategy in the current market."
7/ Market Sentiment:

"Analyze how market sentiment influences stock prices. Discuss tools and techniques investors can use to gauge sentiment and incorporate it into their trading strategies. Focus on [input stock or sector]."
8/ Earnings Reports:

"Explain how to interpret a company's earnings report. Highlight the key metrics investors should focus on and how these metrics can impact stock prices. Use [input company's latest earnings report] as an example."
9/ Growth Stock/Dividend Stocks:

"Compare and contrast growth stocks and dividend stocks. Discuss the benefits and risks of each type of investment and suggest scenarios where one might be more suitable than the other. Reference [input specific growth stock and dividend stock]."
10/ Global Events:

"Analyze the impact of major global events (e.g., geopolitical tensions, pandemics) on the stock market. Provide strategies for investors to protect their portfolios during such events. Consider the impact on [input sector or stock]."
I hope you've found this thread helpful.

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More from @aigleeson

Aug 2
Claude’s XML prompting system is one of the most underrated cheat codes in AI.

• tighter control
• clearer formatting
• zero hallucination

Here’s how to use it ↓
Why XML?

Claude was trained on structured, XML-heavy data like documentation, code, and datasets.

So when you use XML tags in your prompts, you’re literally speaking its native language.

The result? Sharper, cleaner, and more controllable outputs.

(Anthropic says that XML tag prompts gets best results)Image
Why it works:

✅ Clarifies intent
✅ Mimics Claude's training structure
✅ Boosts reasoning + structure
✅ Reduces hallucination

Now let’s dive into 5 🔥 real-world use cases:
Read 10 tweets
Jul 31
I finally understand how large language models actually work

After reading the 2025 textbook “Foundations of LLMs”

It blew my mind and cleared up years of confusion

Here’s everything i learned (in plain english): Image
To understand LLMs, start with pre-training.

We don’t teach them specific tasks.

We flood them with raw text and let them discover patterns on their own.

This technique is called self-supervised learning and it’s the foundation of everything.
There are 3 ways to pre-train:

→ Unsupervised: No labels at all
→ Supervised: Classic labeled data
→ Self-supervised: Model creates its own labels (e.g., “guess the missing word”)

LLMs use #3 it scales like crazy and teaches them language from scratch.
Read 19 tweets
Jul 30
Holy sh*t… Grok 4 just helped me:

• Name a business
• Validate the niche
• Analyze competitors
• Build a GTM plan
• Write the pitch & ad copy
• Map out socials + revenue

All in 5 mins.

10 prompts that turn Grok into your AI cofounder: 👇
1/ Unique Business Name Generator

Prompt:

"Generate 10 unique and creative business name ideas for a [industry/niche] business. Ensure they are not currently in use or trademarked." Image
2/ Niche Discovery Assistant

Prompt:

"Suggest 5 profitable niches in [industry] with low competition and high demand. Provide data or examples to support your suggestions." Image
Read 12 tweets
Jul 27
what prompt engineers actually do (and why it matters)

it's one of the most misunderstood roles in ai.

they're not just “good at chatgpt.”

they design logic, structure, and systems.

here’s the professional framework behind what they really do: Image
1. translation layer

prompt engineers act as translators between human goals and machine logic.

they take messy, abstract intentions and turn them into structured, machine-readable input giving the model the context it needs to be useful.

prompting isn't just writing it's strategic communication.
2. language design

they don't guess. they use tested frameworks to guide model behavior:

• chain of thought
• react (reason + act)
• tree of thought
• rag (retrieval-augmented generation)
• few-shot prompting

these structures shape how the model reasons, decides, and responds.

it's language as architecture.
Read 8 tweets
Jul 22
You don’t need McKinsey.

You need these 3 prompts.

I’ve used Grok 4 to replace full consulting teams:

→ ops audit
→ strategy creation
→ market research

Here’s how to do it yourself:
Let me tell you what Deloitte and McKinsey consultants actually do:

- Audit operations
- Map workflows
- Identify compliance & risk issues
- Optimize performance
- Package it in a deck and charge $500,000

But guess what?

AI can now do 95% of that instantly.
1/ The Operations Audit Framework

Prompt:

"You are a senior Deloitte consultant with 15+ years of experience in operational excellence. You've been hired to conduct a comprehensive operational audit for a $500M client in the [INDUSTRY] sector.

Your mission:
1. Analyze the current operational framework and identify inefficiencies
2. Map out key business processes and workflow bottlenecks
3. Assess compliance gaps and regulatory risks
4. Benchmark against industry best practices
5. Create a prioritized action plan with ROI projections

Use frameworks like:
- Process mapping and value stream analysis
- LEAN Six Sigma methodologies
- Risk assessment matrices
- Cost-benefit analysis

Output everything in consulting-grade format: Executive Summary, Current State Analysis, Gap Assessment, Recommendations with timelines and expected savings.

Think like you're presenting to the C-suite next week.

Industry: [INSERT INDUSTRY]
Company size: [INSERT SIZE]"
Read 7 tweets
Jul 21
Gemini 2.5 Pro is a genius stock analyst.

But most people don't know how to use it.

Here’s an exact mega prompt I use for stock research and investments: Image
The mega prompt:

Just copy + paste it into Gemini 2.5 Pro and plug in your stock.

Steal it:

"
ROLE:

Act as an elite equity research analyst at a top-tier investment fund.
Your task is to analyze a company using both fundamental and macroeconomic perspectives. Structure your response according to the framework below.

Input Section (Fill this in)

Stock Ticker / Company Name: [Add name if you want specific analysis]
Investment Thesis: [Add input here]
Goal: [Add the goal here]

Instructions:

Use the following structure to deliver a clear, well-reasoned equity research report:

1. Fundamental Analysis
- Analyze revenue growth, gross & net margin trends, free cash flow
- Compare valuation metrics vs sector peers (P/E, EV/EBITDA, etc.)
- Review insider ownership and recent insider trades

2. Thesis Validation
- Present 3 arguments supporting the thesis
- Highlight 2 counter-arguments or key risks
- Provide a final **verdict**: Bullish / Bearish / Neutral with justification

3. Sector & Macro View
- Give a short sector overview
- Outline relevant macroeconomic trends
- Explain company’s competitive positioning

4. Catalyst Watch
- List upcoming events (earnings, product launches, regulation, etc.)
- Identify both **short-term** and **long-term** catalysts

5. Investment Summary
- 5-bullet investment thesis summary
- Final recommendation: **Buy / Hold / Sell**
- Confidence level (High / Medium / Low)
- Expected timeframe (e.g. 6–12 months)

Formatting Requirements
- Use **markdown**
- Use **bullet points** where appropriate
- Be **concise, professional, and insight-driven**
- Do **not** explain your process just deliver the analysis"
We tested this prompt on 5 tickers last week.

It gave us:

✅ Earnings + margin breakdowns
✅ Bull vs bear argument analysis
✅ Sector insights + valuation comps
✅ Clear investment thesis summaries

All in under 2 minutes.
Read 6 tweets

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